detectron_error.txt

loading model: 0it [00:00, ?it/s]WARNING:common:Model detectron2_fcos_r_50_fpn does not support bfloat16, running with amp instead

loading model: 0it [00:08, ?it/s]
WARNING:common:Model detectron2_fcos_r_50_fpn does not support bfloat16, running with amp instead
cuda eval  detectron2_fcos_r_50_fpn           
WARNING:common:Model detectron2_fcos_r_50_fpn does not support bfloat16, running with amp instead
[2023-11-01 20:50:22,157] torch._dynamo.eval_frame: [DEBUG] skipping helper /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py
[2023-11-01 20:50:22,157] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py
[2023-11-01 20:50:22,157] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py
[2023-11-01 20:50:22,157] torch._dynamo.eval_frame: [DEBUG] skipping backend_cache_wrapper /home/dberard/local/pytorch/torch/_dynamo/eval_frame.py
[2023-11-01 20:50:22,157] torch._dynamo.eval_frame: [DEBUG] skipping _maybe_init_guarded_backend_cache /home/dberard/local/pytorch/torch/_dynamo/eval_frame.py
[2023-11-01 20:50:22,157] torch._dynamo.eval_frame: [DEBUG] skipping innermost_fn /home/dberard/local/pytorch/torch/_dynamo/eval_frame.py
[2023-11-01 20:50:22,158] torch._dynamo.eval_frame: [DEBUG] skipping _set_current_backend /home/dberard/local/pytorch/torch/_dynamo/eval_frame.py
[2023-11-01 20:50:22,158] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py
[2023-11-01 20:50:22,158] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py
[2023-11-01 20:50:22,158] torch._dynamo.eval_frame: [DEBUG] skipping enable_dynamic /home/dberard/local/pytorch/torch/_dynamo/eval_frame.py
[2023-11-01 20:50:22,161] [0/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing forward_pass /home/dberard/local/pytorch/benchmarks/dynamo/torchbench.py:507
[2023-11-01 20:50:22,165] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/benchmarks/dynamo/torchbench.py:507 in forward_pass (TorchBenchmarkRunner.forward_pass)
[2023-11-01 20:50:22,165] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward_pass(self, mod, inputs, collect_outputs=True):
[2023-11-01 20:50:22,912] [0/0] torch._dynamo.output_graph: [DEBUG] create_graph_input L_inputs_0_0_image_ L['inputs'][0][0]['image']
[2023-11-01 20:50:22,913] [0/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['inputs'][0][0]['image'] (3, 800, 1199) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:22,916] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/benchmarks/dynamo/torchbench.py:508 in forward_pass (TorchBenchmarkRunner.forward_pass)
[2023-11-01 20:50:22,916] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             with self.autocast():
[2023-11-01 20:50:22,916] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:22,916] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR autocast [UserDefinedObjectVariable(TorchBenchmarkRunner)]
[2023-11-01 20:50:22,918] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchCtxManagerClassVariable()]
[2023-11-01 20:50:22,918] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE SETUP_WITH 32 [AutocastModeVariable()]
[2023-11-01 20:50:22,919] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [WithExitFunctionVariable(), None]
[2023-11-01 20:50:22,919] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/benchmarks/dynamo/torchbench.py:509 in forward_pass (TorchBenchmarkRunner.forward_pass)
[2023-11-01 20:50:22,919] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return mod(*inputs)
[2023-11-01 20:50:22,919] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mod [WithExitFunctionVariable()]
[2023-11-01 20:50:22,919] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST inputs [WithExitFunctionVariable(), NNModuleVariable()]
[2023-11-01 20:50:22,919] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [WithExitFunctionVariable(), NNModuleVariable(), ListVariable()]
[2023-11-01 20:50:22,920] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:22,923] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,923] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:22,967] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,967] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:22,967] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:22,968] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:22,969] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:22,969] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:22,970] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:22,970] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:22,970] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:22,970] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function DenseDetector.forward at 0x7fe1e273ec20>, NNModuleVariable())]
[2023-11-01 20:50:22,971] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,971] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:22,971] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:22,971] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:22,971] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:22,971] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:22,972] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:22,972] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:22,972] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:22,972] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:22,973] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:22,973] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:22,973] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:22,973] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:22,974] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,974] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:22,974] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:22,974] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,974] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:22,974] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:22,974] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,974] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:22,974] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:22,974] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,974] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:22,975] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:22,975] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,975] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:22,975] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:22,975] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,975] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:22,975] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:22,975] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,975] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:22,975] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:22,976] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,976] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:22,976] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:22,976] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:22,976] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:22,976] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:22,976] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function DenseDetector.forward at 0x7fe1e273ec20>, NNModuleVariable())]
[2023-11-01 20:50:22,976] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function DenseDetector.forward at 0x7fe1e273ec20>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:22,976] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function DenseDetector.forward at 0x7fe1e273ec20>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:22,976] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function DenseDetector.forward at 0x7fe1e273ec20>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:22,976] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function DenseDetector.forward at 0x7fe1e273ec20>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:22,977] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1e2733b50, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 75>, inlined by default
[2023-11-01 20:50:22,978] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:75 in forward (DenseDetector.forward) (inline depth: 2)
[2023-11-01 20:50:22,978] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, batched_inputs: List[Dict[str, Tensor]]):
[2023-11-01 20:50:22,984] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:95 in forward (DenseDetector.forward) (inline depth: 2)
[2023-11-01 20:50:22,984] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = self.preprocess_image(batched_inputs)
[2023-11-01 20:50:22,984] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self []
[2023-11-01 20:50:22,984] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR preprocess_image [NNModuleVariable()]
[2023-11-01 20:50:22,985] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST batched_inputs [UserMethodVariable(<function DenseDetector.preprocess_image at 0x7fe1e273ed40>, NNModuleVariable())]
[2023-11-01 20:50:22,985] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [UserMethodVariable(<function DenseDetector.preprocess_image at 0x7fe1e273ed40>, NNModuleVariable()), ListVariable()]
[2023-11-01 20:50:22,985] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object preprocess_image at 0x7fe1e2733e10, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 123>, inlined by default
[2023-11-01 20:50:22,986] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:123 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 3)
[2023-11-01 20:50:22,986] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def preprocess_image(self, batched_inputs: List[Dict[str, Tensor]]):
[2023-11-01 20:50:22,986] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:127 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 3)
[2023-11-01 20:50:22,986] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [self._move_to_current_device(x["image"]) for x in batched_inputs]
[2023-11-01 20:50:22,986] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE self []
[2023-11-01 20:50:22,986] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()]
[2023-11-01 20:50:22,986] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e2733cb0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 127> [TupleVariable()]
[2023-11-01 20:50:22,986] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST DenseDetector.preprocess_image.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
[2023-11-01 20:50:22,986] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:22,987] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST batched_inputs [NestedUserFunctionVariable()]
[2023-11-01 20:50:22,987] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:22,987] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:22,988] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e2733cb0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 127>, inlined by default
[2023-11-01 20:50:22,988] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:127 in <listcomp> (DenseDetector.preprocess_image) (inline depth: 4)
[2023-11-01 20:50:22,988] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [self._move_to_current_device(x["image"]) for x in batched_inputs]
[2023-11-01 20:50:22,988] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:22,988] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:22,988] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 24 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:22,989] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListVariable(), ListIteratorVariable(), ConstDictVariable()]
[2023-11-01 20:50:22,989] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:22,989] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _move_to_current_device [ListVariable(), ListIteratorVariable(), NNModuleVariable()]
[2023-11-01 20:50:22,989] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable())]
[2023-11-01 20:50:22,989] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST image [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable()), ConstDictVariable()]
[2023-11-01 20:50:22,990] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable()), ConstDictVariable(), ConstantVariable(str)]
[2023-11-01 20:50:22,990] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable()), TensorVariable()]
[2023-11-01 20:50:22,990] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _move_to_current_device at 0x7fe1e2733940, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 72>, inlined by default
[2023-11-01 20:50:22,991] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:72 in _move_to_current_device (DenseDetector._move_to_current_device) (inline depth: 5)
[2023-11-01 20:50:22,991] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _move_to_current_device(self, x):
[2023-11-01 20:50:22,991] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:73 in _move_to_current_device (DenseDetector._move_to_current_device) (inline depth: 5)
[2023-11-01 20:50:22,991] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return move_device_like(x, self.pixel_mean)
[2023-11-01 20:50:22,991] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL move_device_like []
[2023-11-01 20:50:22,992] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
[2023-11-01 20:50:22,992] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [UserFunctionVariable(), TensorVariable()]
[2023-11-01 20:50:22,992] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pixel_mean [UserFunctionVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:22,993] [0/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['mod'].pixel_mean (3, 1, 1) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:22,995] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:22,995] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object move_device_like at 0x7fe1f0d842f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 156>, inlined by default
[2023-11-01 20:50:22,995] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:156 in move_device_like () (inline depth: 6)
[2023-11-01 20:50:22,995] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     @torch.jit.script_if_tracing
[2023-11-01 20:50:22,999] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:162 in move_device_like (move_device_like) (inline depth: 6)
[2023-11-01 20:50:22,999] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         return src.to(dst.device)
[2023-11-01 20:50:22,999] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src []
[2023-11-01 20:50:22,999] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
[2023-11-01 20:50:23,000] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dst [GetAttrVariable(TensorVariable(), to)]
[2023-11-01 20:50:23,000] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
[2023-11-01 20:50:23,001] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(device)]
[2023-11-01 20:50:23,003] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:23,003] [0/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object move_device_like at 0x7fe1f0d842f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 156>
[2023-11-01 20:50:23,004] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:23,004] [0/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _move_to_current_device at 0x7fe1e2733940, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 72>
[2023-11-01 20:50:23,004] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:23,004] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,004] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 24 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,005] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:23,005] [0/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e2733cb0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 127>
[2023-11-01 20:50:23,005] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST images [ListVariable()]
[2023-11-01 20:50:23,005] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:128 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 3)
[2023-11-01 20:50:23,005] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [(x - self.pixel_mean) / self.pixel_std for x in images]
[2023-11-01 20:50:23,005] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE self []
[2023-11-01 20:50:23,005] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()]
[2023-11-01 20:50:23,005] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e2733d60, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128> [TupleVariable()]
[2023-11-01 20:50:23,006] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST DenseDetector.preprocess_image.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
[2023-11-01 20:50:23,006] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:23,006] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST images [NestedUserFunctionVariable()]
[2023-11-01 20:50:23,006] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:23,006] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,007] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e2733d60, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128>, inlined by default
[2023-11-01 20:50:23,007] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:128 in <listcomp> (DenseDetector.preprocess_image) (inline depth: 4)
[2023-11-01 20:50:23,007] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [(x - self.pixel_mean) / self.pixel_std for x in images]
[2023-11-01 20:50:23,007] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:23,007] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:23,007] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 26 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,008] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:23,008] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,008] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:23,008] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pixel_mean [ListVariable(), ListIteratorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:23,009] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [ListVariable(), ListIteratorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:23,017] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:23,018] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pixel_std [ListVariable(), ListIteratorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:23,018] [0/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['mod'].pixel_std (3, 1, 1) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:23,020] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [ListVariable(), ListIteratorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:23,025] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:23,025] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,025] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 26 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,026] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:23,026] [0/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e2733d60, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128>
[2023-11-01 20:50:23,026] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST images [ListVariable()]
[2023-11-01 20:50:23,026] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:129 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 3)
[2023-11-01 20:50:23,026] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = ImageList.from_tensors(
[2023-11-01 20:50:23,026] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL ImageList []
[2023-11-01 20:50:23,027] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR from_tensors [UserDefinedClassVariable()]
[2023-11-01 20:50:23,028] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:130 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 3)
[2023-11-01 20:50:23,028] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 images,
[2023-11-01 20:50:23,028] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST images [UserFunctionVariable()]
[2023-11-01 20:50:23,028] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:131 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 3)
[2023-11-01 20:50:23,028] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 self.backbone.size_divisibility,
[2023-11-01 20:50:23,028] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [UserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:23,028] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR backbone [UserFunctionVariable(), ListVariable(), NNModuleVariable()]
[2023-11-01 20:50:23,033] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR size_divisibility [UserFunctionVariable(), ListVariable(), NNModuleVariable()]
[2023-11-01 20:50:23,034] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object size_divisibility at 0x7fe1e5dda1e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 118>, inlined by default
[2023-11-01 20:50:23,034] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:118 in size_divisibility (FPN) (inline depth: 4)
[2023-11-01 20:50:23,034] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         @property
[2023-11-01 20:50:23,040] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:120 in size_divisibility (FPN.size_divisibility) (inline depth: 4)
[2023-11-01 20:50:23,040] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return self._size_divisibility
[2023-11-01 20:50:23,040] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:23,040] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _size_divisibility [NNModuleVariable()]
[2023-11-01 20:50:23,040] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(int)]
[2023-11-01 20:50:23,040] [0/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object size_divisibility at 0x7fe1e5dda1e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 118>
[2023-11-01 20:50:23,041] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:132 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 3)
[2023-11-01 20:50:23,041] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 padding_constraints=self.backbone.padding_constraints,
[2023-11-01 20:50:23,041] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [UserFunctionVariable(), ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,041] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR backbone [UserFunctionVariable(), ListVariable(), ConstantVariable(int), NNModuleVariable()]
[2023-11-01 20:50:23,041] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR padding_constraints [UserFunctionVariable(), ListVariable(), ConstantVariable(int), NNModuleVariable()]
[2023-11-01 20:50:23,042] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object padding_constraints at 0x7fe1e5dda290, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 122>, inlined by default
[2023-11-01 20:50:23,042] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:122 in padding_constraints (FPN) (inline depth: 4)
[2023-11-01 20:50:23,042] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         @property
[2023-11-01 20:50:23,042] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:124 in padding_constraints (FPN.padding_constraints) (inline depth: 4)
[2023-11-01 20:50:23,042] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return {"square_size": self._square_pad}
[2023-11-01 20:50:23,042] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST square_size []
[2023-11-01 20:50:23,043] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [ConstantVariable(str)]
[2023-11-01 20:50:23,043] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _square_pad [ConstantVariable(str), NNModuleVariable()]
[2023-11-01 20:50:23,043] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 1 [ConstantVariable(str), ConstantVariable(int)]
[2023-11-01 20:50:23,043] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstDictVariable()]
[2023-11-01 20:50:23,043] [0/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object padding_constraints at 0x7fe1e5dda290, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 122>
[2023-11-01 20:50:23,043] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:129 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 3)
[2023-11-01 20:50:23,043] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = ImageList.from_tensors(
[2023-11-01 20:50:23,043] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('padding_constraints',) [UserFunctionVariable(), ListVariable(), ConstantVariable(int), ConstDictVariable()]
[2023-11-01 20:50:23,044] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [UserFunctionVariable(), ListVariable(), ConstantVariable(int), ConstDictVariable(), TupleVariable()]
[2023-11-01 20:50:23,044] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object from_tensors at 0x7fe1e5db4df0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 58>, inlined by default
[2023-11-01 20:50:23,046] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:58 in from_tensors (ImageList) (inline depth: 4)
[2023-11-01 20:50:23,046] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         @staticmethod
[2023-11-01 20:50:23,049] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:81 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,049] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             assert len(tensors) > 0
[2023-11-01 20:50:23,049] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len []
[2023-11-01 20:50:23,050] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(len)]
[2023-11-01 20:50:23,050] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(len), ListVariable()]
[2023-11-01 20:50:23,050] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int)]
[2023-11-01 20:50:23,050] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:23,050] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 16 [ConstantVariable(bool)]
[2023-11-01 20:50:23,051] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:82 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,051] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             assert isinstance(tensors, (tuple, list))
[2023-11-01 20:50:23,051] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL isinstance []
[2023-11-01 20:50:23,051] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(isinstance)]
[2023-11-01 20:50:23,051] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL tuple [BuiltinVariable(isinstance), ListVariable()]
[2023-11-01 20:50:23,051] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [BuiltinVariable(isinstance), ListVariable(), BuiltinVariable(tuple)]
[2023-11-01 20:50:23,051] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [BuiltinVariable(isinstance), ListVariable(), BuiltinVariable(tuple), BuiltinVariable(list)]
[2023-11-01 20:50:23,051] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [BuiltinVariable(isinstance), ListVariable(), TupleVariable()]
[2023-11-01 20:50:23,052] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 34 [ConstantVariable(bool)]
[2023-11-01 20:50:23,052] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:83 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,052] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             for t in tensors:
[2023-11-01 20:50:23,052] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors []
[2023-11-01 20:50:23,052] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [ListVariable()]
[2023-11-01 20:50:23,052] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 110 [ListIteratorVariable()]
[2023-11-01 20:50:23,053] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:23,053] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:84 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,053] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 assert isinstance(t, torch.Tensor), type(t)
[2023-11-01 20:50:23,053] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL isinstance [ListIteratorVariable()]
[2023-11-01 20:50:23,053] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListIteratorVariable(), BuiltinVariable(isinstance)]
[2023-11-01 20:50:23,054] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable()]
[2023-11-01 20:50:23,054] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable(), TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:23,055] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable(), TorchVariable(<class 'torch.Tensor'>)]
[2023-11-01 20:50:23,055] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 66 [ListIteratorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:23,055] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:85 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,055] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 assert t.shape[:-2] == tensors[0].shape[:-2], t.shape
[2023-11-01 20:50:23,055] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListIteratorVariable()]
[2023-11-01 20:50:23,055] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:23,056] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:23,056] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListIteratorVariable(), SizeVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:23,056] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ListIteratorVariable(), SizeVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
[2023-11-01 20:50:23,056] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), SliceVariable()]
[2023-11-01 20:50:23,057] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:23,057] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ListIteratorVariable(), SizeVariable(), ListVariable()]
[2023-11-01 20:50:23,057] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,057] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListIteratorVariable(), SizeVariable(), TensorVariable()]
[2023-11-01 20:50:23,058] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ListIteratorVariable(), SizeVariable(), SizeVariable()]
[2023-11-01 20:50:23,058] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListIteratorVariable(), SizeVariable(), SizeVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:23,058] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ListIteratorVariable(), SizeVariable(), SizeVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
[2023-11-01 20:50:23,058] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), SizeVariable(), SliceVariable()]
[2023-11-01 20:50:23,058] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ListIteratorVariable(), SizeVariable(), SizeVariable()]
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 108 [ListIteratorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 38 [ListIteratorVariable()]
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:83 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             for t in tensors:
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 110 [ListIteratorVariable()]
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:87 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes = [(im.shape[-2], im.shape[-1]) for im in tensors]
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87> []
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ImageList.from_tensors.<locals>.<listcomp> [ConstantVariable(code)]
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [NestedUserFunctionVariable()]
[2023-11-01 20:50:23,059] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:23,060] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,060] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87>, inlined by default
[2023-11-01 20:50:23,060] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:87 in <listcomp> (ImageList.from_tensors) (inline depth: 5)
[2023-11-01 20:50:23,060] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes = [(im.shape[-2], im.shape[-1]) for im in tensors]
[2023-11-01 20:50:23,060] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:23,061] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:23,061] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 30 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,061] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST im [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:23,061] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST im [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,061] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:23,062] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListVariable(), ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:23,062] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ListIteratorVariable(), SizeVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,064] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST im [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,064] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListVariable(), ListIteratorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:23,064] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ListVariable(), ListIteratorVariable(), ConstantVariable(int), SizeVariable()]
[2023-11-01 20:50:23,064] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ListIteratorVariable(), ConstantVariable(int), SizeVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,065] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ListVariable(), ListIteratorVariable(), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:23,065] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TupleVariable()]
[2023-11-01 20:50:23,065] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,065] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 30 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,065] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:23,065] [0/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87>
[2023-11-01 20:50:23,066] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_sizes [ListVariable()]
[2023-11-01 20:50:23,066] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:88 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,066] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
[2023-11-01 20:50:23,066] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88> []
[2023-11-01 20:50:23,066] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ImageList.from_tensors.<locals>.<listcomp> [ConstantVariable(code)]
[2023-11-01 20:50:23,066] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:23,066] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes [NestedUserFunctionVariable()]
[2023-11-01 20:50:23,066] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:23,067] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,067] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88>, inlined by default
[2023-11-01 20:50:23,067] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:88 in <listcomp> (ImageList.from_tensors) (inline depth: 5)
[2023-11-01 20:50:23,067] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
[2023-11-01 20:50:23,068] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:23,068] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:23,068] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,068] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListVariable(), ListIteratorVariable(), TupleVariable()]
[2023-11-01 20:50:23,068] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL shapes_to_tensor [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,069] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), ListIteratorVariable(), UserFunctionVariable()]
[2023-11-01 20:50:23,069] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ListVariable(), ListIteratorVariable(), UserFunctionVariable(), TupleVariable()]
[2023-11-01 20:50:23,070] [0/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object shapes_to_tensor at 0x7fe1f0d779f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 19>, inlined by default
[2023-11-01 20:50:23,070] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:19 in shapes_to_tensor (shapes_to_tensor) (inline depth: 6)
[2023-11-01 20:50:23,070] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     def shapes_to_tensor(x: List[int], device: Optional[torch.device] = None) -> torch.Tensor:
[2023-11-01 20:50:23,070] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:27 in shapes_to_tensor (shapes_to_tensor) (inline depth: 6)
[2023-11-01 20:50:23,070] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if torch.jit.is_scripting():
[2023-11-01 20:50:23,071] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:23,071] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:23,071] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:23,072] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:23,072] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 24 [ConstantVariable(bool)]
[2023-11-01 20:50:23,072] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:29 in shapes_to_tensor (shapes_to_tensor) (inline depth: 6)
[2023-11-01 20:50:23,072] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if torch.jit.is_tracing():
[2023-11-01 20:50:23,072] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:23,073] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:23,073] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_tracing [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:23,074] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_tracing at 0x7fe23c3675b0>)]
[2023-11-01 20:50:23,074] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 96 [ConstantVariable(bool)]
[2023-11-01 20:50:23,074] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:38 in shapes_to_tensor (shapes_to_tensor) (inline depth: 6)
[2023-11-01 20:50:23,074] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         return torch.as_tensor(x, device=device)
[2023-11-01 20:50:23,074] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:23,075] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:23,075] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:23,075] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST device [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable()]
[2023-11-01 20:50:23,075] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:23,075] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable(), ConstantVariable(NoneType), TupleVariable()]
[2023-11-01 20:50:23,078] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:23,079] [0/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object shapes_to_tensor at 0x7fe1f0d779f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 19>
[2023-11-01 20:50:23,079] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:23,079] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,079] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:23,079] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:23,080] [0/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88>
[2023-11-01 20:50:23,080] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_sizes_tensor [ListVariable()]
[2023-11-01 20:50:23,080] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:89 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,080] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             max_size = torch.stack(image_sizes_tensor).max(0).values
[2023-11-01 20:50:23,080] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:23,081] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:23,081] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes_tensor [TorchVariable(<built-in method stack of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:23,081] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method stack of type object at 0x7fe2ae3e5f40>), ListVariable()]
[2023-11-01 20:50:23,084] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
[2023-11-01 20:50:23,085] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), max)]
[2023-11-01 20:50:23,085] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
[2023-11-01 20:50:23,087] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR values [NamedTupleVariable()]
[2023-11-01 20:50:23,088] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_size [TensorVariable()]
[2023-11-01 20:50:23,089] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:91 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,089] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if padding_constraints is not None:
[2023-11-01 20:50:23,089] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints []
[2023-11-01 20:50:23,089] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstDictVariable()]
[2023-11-01 20:50:23,089] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [ConstDictVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:23,089] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 216 [ConstantVariable(bool)]
[2023-11-01 20:50:23,089] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:92 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,089] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 square_size = padding_constraints.get("square_size", 0)
[2023-11-01 20:50:23,089] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints []
[2023-11-01 20:50:23,089] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR get [ConstDictVariable()]
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST square_size [GetAttrVariable(ConstDictVariable(), get)]
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(ConstDictVariable(), get), ConstantVariable(str)]
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(ConstDictVariable(), get), ConstantVariable(str), ConstantVariable(int)]
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST square_size [ConstantVariable(int)]
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:93 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if square_size > 0:
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST square_size []
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int)]
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 200 [ConstantVariable(bool)]
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:96 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,090] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if "size_divisibility" in padding_constraints:
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST size_divisibility []
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints [ConstantVariable(str)]
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CONTAINS_OP 0 [ConstantVariable(str), ConstDictVariable()]
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 216 [ConstantVariable(bool)]
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:98 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if size_divisibility > 1:
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST size_divisibility []
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int)]
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 254 [ConstantVariable(bool)]
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:99 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 stride = size_divisibility
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST size_divisibility []
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST stride [ConstantVariable(int)]
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:101 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride
[2023-11-01 20:50:23,091] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size []
[2023-11-01 20:50:23,092] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TensorVariable()]
[2023-11-01 20:50:23,092] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,092] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:23,092] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,094] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable()]
[2023-11-01 20:50:23,094] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [GetAttrVariable(TensorVariable(), div)]
[2023-11-01 20:50:23,094] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [GetAttrVariable(TensorVariable(), div), ConstantVariable(int)]
[2023-11-01 20:50:23,094] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [GetAttrVariable(TensorVariable(), div), ConstantVariable(int), ConstantVariable(str)]
[2023-11-01 20:50:23,094] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), div), ConstantVariable(int), ConstantVariable(str), TupleVariable()]
[2023-11-01 20:50:23,099] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TensorVariable()]
[2023-11-01 20:50:23,099] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,101] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_size [TensorVariable()]
[2023-11-01 20:50:23,101] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:104 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,101] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if torch.jit.is_scripting():
[2023-11-01 20:50:23,101] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:23,102] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:23,102] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:23,103] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:23,103] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 284 [ConstantVariable(bool)]
[2023-11-01 20:50:23,103] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:107 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,103] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if torch.jit.is_tracing():
[2023-11-01 20:50:23,103] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:23,104] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:23,104] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_tracing [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:23,104] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_tracing at 0x7fe23c3675b0>)]
[2023-11-01 20:50:23,105] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 298 [ConstantVariable(bool)]
[2023-11-01 20:50:23,105] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:110 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,105] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if len(tensors) == 1:
[2023-11-01 20:50:23,105] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len []
[2023-11-01 20:50:23,105] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(len)]
[2023-11-01 20:50:23,105] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(len), ListVariable()]
[2023-11-01 20:50:23,106] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int)]
[2023-11-01 20:50:23,106] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:23,106] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 382 [ConstantVariable(bool)]
[2023-11-01 20:50:23,106] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:113 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,106] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 image_size = image_sizes[0]
[2023-11-01 20:50:23,106] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes []
[2023-11-01 20:50:23,106] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ListVariable()]
[2023-11-01 20:50:23,106] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,107] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_size [TupleVariable()]
[2023-11-01 20:50:23,107] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:114 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,107] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 padding_size = [0, max_size[-1] - image_size[1], 0, max_size[-2] - image_size[0]]
[2023-11-01 20:50:23,107] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 []
[2023-11-01 20:50:23,107] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size [ConstantVariable(int)]
[2023-11-01 20:50:23,107] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:23,107] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,109] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_size [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:23,109] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int), TensorVariable(), TupleVariable()]
[2023-11-01 20:50:23,109] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,109] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,111] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:23,111] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,111] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:23,111] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,113] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_size [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:23,113] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), TupleVariable()]
[2023-11-01 20:50:23,113] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,113] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,115] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:23,115] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST padding_size [ListVariable()]
[2023-11-01 20:50:23,115] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:115 in from_tensors (ImageList.from_tensors) (inline depth: 4)
[2023-11-01 20:50:23,115] [0/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 batched_imgs = F.pad(tensors[0], padding_size, value=pad_value).unsqueeze_(0)
[2023-11-01 20:50:23,115] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:23,116] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pad [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:23,117] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [TorchVariable(<built-in function pad>)]
[2023-11-01 20:50:23,117] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in function pad>), ListVariable()]
[2023-11-01 20:50:23,117] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(<built-in function pad>), ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:23,117] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_size [TorchVariable(<built-in function pad>), TensorVariable()]
[2023-11-01 20:50:23,117] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST pad_value [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable()]
[2023-11-01 20:50:23,117] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('value',) [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable(), ConstantVariable(float)]
[2023-11-01 20:50:23,118] [0/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable(), ConstantVariable(float), TupleVariable()]
[2023-11-01 20:50:23,120] [0/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:23,120] [0/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object from_tensors at 0x7fe1e5db4df0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 58>
[2023-11-01 20:50:23,121] [0/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 13 nodes
[2023-11-01 20:50:23,121] [0/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:23,121] [0/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object preprocess_image at 0x7fe1e2733e10, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 123>
[2023-11-01 20:50:23,121] [0/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 5 nodes
[2023-11-01 20:50:23,122] [0/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:23,122] [0/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object forward at 0x7fe1e2733b50, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 75>
[2023-11-01 20:50:23,122] [0/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:23,122] [0/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:23,122] [0/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:23,122] [0/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:23,122] [0/0] torch._dynamo.symbolic_convert: [DEBUG] break_graph_if_unsupported triggered compile
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG] Graph break: data dependent operator: aten._local_scalar_dense.default from user code at:
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]   File "/home/dberard/local/pytorch/benchmarks/dynamo/torchbench.py", line 509, in forward_pass
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]     return mod(*inputs)
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]   File "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1528, in _call_impl
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]     return forward_call(*args, **kwargs)
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]   File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 95, in forward
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]     images = self.preprocess_image(batched_inputs)
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]   File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 129, in preprocess_image
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]     images = ImageList.from_tensors(
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]   File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 115, in from_tensors
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]     batched_imgs = F.pad(tensors[0], padding_size, value=pad_value).unsqueeze_(0)
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG] 
[2023-11-01 20:50:23,123] [0/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:23,124] [0/0] torch._dynamo.output_graph: [DEBUG] COMPILING GRAPH due to GraphCompileReason(reason='data dependent operator: aten._local_scalar_dense.default', user_stack=[<FrameSummary file /home/dberard/local/pytorch/benchmarks/dynamo/torchbench.py, line 509 in forward_pass>, <FrameSummary file /home/dberard/local/pytorch/torch/nn/modules/module.py, line 1528 in _call_impl>, <FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py, line 95 in forward>, <FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py, line 129 in preprocess_image>, <FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py, line 115 in from_tensors>], graph_break=True)
[2023-11-01 20:50:23,125] [0/0] torch._dynamo.output_graph: [DEBUG] REMOVE UNUSED GRAPHARG L['inputs'][0][0]['image']
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph_code: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  ===== __compiled_fn_0 =====
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  <eval_with_key>.0 class GraphModule(torch.nn.Module):
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph_code: [DEBUG]     def forward(self):
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # No stacktrace found for following nodes
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         _enter_autocast = torch.amp.autocast_mode._enter_autocast('cuda', torch.float16, True, True)
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         _exit_autocast = torch.amp.autocast_mode._exit_autocast(_enter_autocast);  _enter_autocast = None
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         return ()
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph_code: [DEBUG] 
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph: [DEBUG]  __compiled_fn_0 <eval_with_key>.0 opcode         name             target                                        args                                 kwargs
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph: [DEBUG] -------------  ---------------  --------------------------------------------  -----------------------------------  --------
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  _enter_autocast  <function _enter_autocast at 0x7fe249b844c0>  ('cuda', torch.float16, True, True)  {}
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  _exit_autocast   <function _exit_autocast at 0x7fe249b84790>   (_enter_autocast,)                   {}
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph: [DEBUG] output         output           output                                        ((),)                                {}
[2023-11-01 20:50:23,127] [0/0] torch._dynamo.output_graph.__graph: [DEBUG] 
[2023-11-01 20:50:23,128] [0/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] TRACED GRAPH TENSOR SIZES
[2023-11-01 20:50:23,128] [0/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] ===== __compiled_fn_0 =====
[2023-11-01 20:50:23,128] [0/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] 
[2023-11-01 20:50:23,128] [0/0] torch._dynamo.output_graph: [INFO] Step 2: calling compiler function inductor
[2023-11-01 20:50:28,973] [0/0] torch._inductor.freezing: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:28,973] [0/0] torch._inductor.freezing: [DEBUG]  ===== FROZEN GRAPH =====
[2023-11-01 20:50:28,973] [0/0] torch._inductor.freezing: [DEBUG]  <eval_with_key>.47 class <lambda>(torch.nn.Module):
[2023-11-01 20:50:28,973] [0/0] torch._inductor.freezing: [DEBUG]     def forward(self):
[2023-11-01 20:50:28,973] [0/0] torch._inductor.freezing: [DEBUG]         return ()
[2023-11-01 20:50:28,973] [0/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:28,973] [0/0] torch._inductor.freezing: [DEBUG] 
[2023-11-01 20:50:28,978] [0/0] torch._dynamo.output_graph: [INFO] Step 2: done compiler function inductor
[2023-11-01 20:50:28,987] [0/0] torch._dynamo.guards.__guards: [DEBUG] GUARDS:
[2023-11-01 20:50:28,987] [0/0] torch._dynamo.guards.__guards: [DEBUG] ___check_obj_id(L['mod'], 140608108162752)                  
[2023-11-01 20:50:28,988] [0/0] torch._dynamo.guards.__guards: [DEBUG] L['mod'].training == False                                  
[2023-11-01 20:50:28,989] [0/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['inputs'], 7629888)                        # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:28,989] [0/0] torch._dynamo.guards.__guards: [DEBUG] len(L['inputs']) == 1                                         # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:28,989] [0/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['inputs'][0], 7629888)                     # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:28,990] [0/0] torch._dynamo.guards.__guards: [DEBUG] len(L['inputs'][0]) == 1                                      # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:28,990] [0/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['inputs'][0][0], 7626144)                  # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:28,990] [0/0] torch._dynamo.guards.__guards: [DEBUG] set(L['inputs'][0][0].keys()) == {'image_id', 'file_name', 'width', 'image', 'height'}  # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:28,991] [0/0] torch._dynamo.guards.__guards: [DEBUG] hasattr(L['inputs'][0][0]['image'], '_dynamo_dynamic_indices') == False  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:28,991] [0/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['inputs'][0][0]['width'], 7628128)       
[2023-11-01 20:50:28,991] [0/0] torch._dynamo.guards.__guards: [DEBUG] L['inputs'][0][0]['width'] == 640                           
[2023-11-01 20:50:28,992] [0/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['inputs'][0][0]['height'], 7628128)      
[2023-11-01 20:50:28,992] [0/0] torch._dynamo.guards.__guards: [DEBUG] L['inputs'][0][0]['height'] == 427                          
[2023-11-01 20:50:28,992] [0/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['inputs'][0][0]['image_id'], 7628128)    
[2023-11-01 20:50:28,992] [0/0] torch._dynamo.guards.__guards: [DEBUG] L['inputs'][0][0]['image_id'] == 1268                       
[2023-11-01 20:50:28,993] [0/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['inputs'][0][0]['file_name'], 7593344)   
[2023-11-01 20:50:28,993] [0/0] torch._dynamo.guards.__guards: [DEBUG] L['inputs'][0][0]['file_name'] == '/home/dberard/local/benchmark/torchbenchmark/data/.data/coco2017-minimal/coco/val2017/000000001268.jpg'
[2023-11-01 20:50:28,993] [0/0] torch._dynamo.guards.__guards: [DEBUG] utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:370 in init_ambient_guards
[2023-11-01 20:50:28,994] [0/0] torch._dynamo.guards.__guards: [DEBUG] ___skip_backend_check() or ___current_backend() == ___lookup_backend(140608569684848)  # _dynamo/output_graph.py:376 in init_ambient_guards
[2023-11-01 20:50:28,994] [0/0] torch._dynamo.guards.__guards: [DEBUG] check_tensor(L['inputs'][0][0]['image'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float16, device=0, requires_grad=False, size=[3, 800, 1199], stride=[959200, 1199, 1])  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:29,006] torch._dynamo.eval_frame: [DEBUG] skipping _fn /home/dberard/local/pytorch/torch/_dynamo/eval_frame.py
[2023-11-01 20:50:29,006] torch._dynamo.eval_frame: [DEBUG] skipping is_tracing /home/dberard/local/pytorch/torch/jit/_trace.py
[2023-11-01 20:50:29,007] torch._dynamo.eval_frame: [DEBUG] skipping is_scripting /home/dberard/local/pytorch/torch/_jit_internal.py
[2023-11-01 20:50:29,007] torch._dynamo.eval_frame: [DEBUG] skipping nothing /home/dberard/local/pytorch/torch/_dynamo/eval_frame.py
[2023-11-01 20:50:29,007] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py
[2023-11-01 20:50:29,007] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py
[2023-11-01 20:50:29,007] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /home/dberard/local/pytorch/torch/amp/autocast_mode.py
[2023-11-01 20:50:29,007] torch._dynamo.eval_frame: [DEBUG] skipping amp_definitely_not_available /home/dberard/local/pytorch/torch/cuda/amp/common.py
[2023-11-01 20:50:29,007] torch._dynamo.eval_frame: [DEBUG] skipping is_available /home/dberard/local/pytorch/torch/cuda/__init__.py
[2023-11-01 20:50:29,007] torch._dynamo.eval_frame: [DEBUG] skipping _is_compiled /home/dberard/local/pytorch/torch/cuda/__init__.py
[2023-11-01 20:50:29,007] torch._dynamo.eval_frame: [DEBUG] skipping _nvml_based_avail /home/dberard/local/pytorch/torch/cuda/__init__.py
[2023-11-01 20:50:29,007] torch._dynamo.eval_frame: [DEBUG] skipping getenv /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/os.py
[2023-11-01 20:50:29,007] torch._dynamo.eval_frame: [DEBUG] skipping get /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/_collections_abc.py
[2023-11-01 20:50:29,008] torch._dynamo.eval_frame: [DEBUG] skipping __getitem__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/os.py
[2023-11-01 20:50:29,008] torch._dynamo.eval_frame: [DEBUG] skipping encode /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/os.py
[2023-11-01 20:50:29,008] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /home/dberard/local/pytorch/torch/amp/autocast_mode.py
[2023-11-01 20:50:29,008] torch._dynamo.eval_frame: [DEBUG] skipping _wrapped_call_impl /home/dberard/local/pytorch/torch/nn/modules/module.py
[2023-11-01 20:50:29,008] torch._dynamo.eval_frame: [DEBUG] skipping _call_impl /home/dberard/local/pytorch/torch/nn/modules/module.py
[2023-11-01 20:50:29,010] [1/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing forward /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:75
[2023-11-01 20:50:29,011] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:75 in forward (DenseDetector.forward)
[2023-11-01 20:50:29,011] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, batched_inputs: List[Dict[str, Tensor]]):
[2023-11-01 20:50:29,019] [1/0] torch._dynamo.output_graph: [DEBUG] create_graph_input L_batched_inputs_0_image_ L['batched_inputs'][0]['image']
[2023-11-01 20:50:29,020] [1/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['batched_inputs'][0]['image'] (3, 800, 1199) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:29,022] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:95 in forward (DenseDetector.forward)
[2023-11-01 20:50:29,022] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = self.preprocess_image(batched_inputs)
[2023-11-01 20:50:29,022] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self []
[2023-11-01 20:50:29,023] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR preprocess_image [NNModuleVariable()]
[2023-11-01 20:50:29,023] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST batched_inputs [UserMethodVariable(<function DenseDetector.preprocess_image at 0x7fe1e273ed40>, NNModuleVariable())]
[2023-11-01 20:50:29,023] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [UserMethodVariable(<function DenseDetector.preprocess_image at 0x7fe1e273ed40>, NNModuleVariable()), ListVariable()]
[2023-11-01 20:50:29,024] [1/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object preprocess_image at 0x7fe1e2733e10, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 123>, inlined by default
[2023-11-01 20:50:29,025] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:123 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 1)
[2023-11-01 20:50:29,025] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def preprocess_image(self, batched_inputs: List[Dict[str, Tensor]]):
[2023-11-01 20:50:29,025] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:127 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 1)
[2023-11-01 20:50:29,025] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [self._move_to_current_device(x["image"]) for x in batched_inputs]
[2023-11-01 20:50:29,025] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE self []
[2023-11-01 20:50:29,025] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()]
[2023-11-01 20:50:29,025] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e2733cb0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 127> [TupleVariable()]
[2023-11-01 20:50:29,025] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST DenseDetector.preprocess_image.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
[2023-11-01 20:50:29,025] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:29,026] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST batched_inputs [NestedUserFunctionVariable()]
[2023-11-01 20:50:29,026] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:29,026] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,027] [1/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e2733cb0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 127>, inlined by default
[2023-11-01 20:50:29,027] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:127 in <listcomp> (DenseDetector.preprocess_image) (inline depth: 2)
[2023-11-01 20:50:29,027] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [self._move_to_current_device(x["image"]) for x in batched_inputs]
[2023-11-01 20:50:29,027] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:29,027] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:29,027] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 24 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,028] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListVariable(), ListIteratorVariable(), ConstDictVariable()]
[2023-11-01 20:50:29,028] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,028] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _move_to_current_device [ListVariable(), ListIteratorVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,028] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable())]
[2023-11-01 20:50:29,029] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST image [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable()), ConstDictVariable()]
[2023-11-01 20:50:29,029] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable()), ConstDictVariable(), ConstantVariable(str)]
[2023-11-01 20:50:29,029] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable()), TensorVariable()]
[2023-11-01 20:50:29,029] [1/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _move_to_current_device at 0x7fe1e2733940, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 72>, inlined by default
[2023-11-01 20:50:29,030] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:72 in _move_to_current_device (DenseDetector._move_to_current_device) (inline depth: 3)
[2023-11-01 20:50:29,030] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _move_to_current_device(self, x):
[2023-11-01 20:50:29,030] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:73 in _move_to_current_device (DenseDetector._move_to_current_device) (inline depth: 3)
[2023-11-01 20:50:29,030] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return move_device_like(x, self.pixel_mean)
[2023-11-01 20:50:29,030] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL move_device_like []
[2023-11-01 20:50:29,031] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
[2023-11-01 20:50:29,031] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [UserFunctionVariable(), TensorVariable()]
[2023-11-01 20:50:29,031] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pixel_mean [UserFunctionVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,032] [1/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].pixel_mean (3, 1, 1) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:29,033] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:29,033] [1/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object move_device_like at 0x7fe1f0d842f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 156>, inlined by default
[2023-11-01 20:50:29,034] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:156 in move_device_like () (inline depth: 4)
[2023-11-01 20:50:29,034] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     @torch.jit.script_if_tracing
[2023-11-01 20:50:29,034] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:162 in move_device_like (move_device_like) (inline depth: 4)
[2023-11-01 20:50:29,034] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         return src.to(dst.device)
[2023-11-01 20:50:29,034] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src []
[2023-11-01 20:50:29,034] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
[2023-11-01 20:50:29,035] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dst [GetAttrVariable(TensorVariable(), to)]
[2023-11-01 20:50:29,035] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
[2023-11-01 20:50:29,035] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(device)]
[2023-11-01 20:50:29,036] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:29,036] [1/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object move_device_like at 0x7fe1f0d842f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 156>
[2023-11-01 20:50:29,037] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:29,037] [1/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _move_to_current_device at 0x7fe1e2733940, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 72>
[2023-11-01 20:50:29,037] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,037] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,037] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 24 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,038] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:29,038] [1/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e2733cb0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 127>
[2023-11-01 20:50:29,038] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST images [ListVariable()]
[2023-11-01 20:50:29,038] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:128 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 1)
[2023-11-01 20:50:29,038] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [(x - self.pixel_mean) / self.pixel_std for x in images]
[2023-11-01 20:50:29,038] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE self []
[2023-11-01 20:50:29,038] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()]
[2023-11-01 20:50:29,038] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e2733d60, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128> [TupleVariable()]
[2023-11-01 20:50:29,038] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST DenseDetector.preprocess_image.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
[2023-11-01 20:50:29,038] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:29,038] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST images [NestedUserFunctionVariable()]
[2023-11-01 20:50:29,039] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:29,039] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,039] [1/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e2733d60, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128>, inlined by default
[2023-11-01 20:50:29,040] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:128 in <listcomp> (DenseDetector.preprocess_image) (inline depth: 2)
[2023-11-01 20:50:29,040] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [(x - self.pixel_mean) / self.pixel_std for x in images]
[2023-11-01 20:50:29,040] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:29,040] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:29,040] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 26 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,040] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,040] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,040] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,040] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pixel_mean [ListVariable(), ListIteratorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,041] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [ListVariable(), ListIteratorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:29,045] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,045] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pixel_std [ListVariable(), ListIteratorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,045] [1/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].pixel_std (3, 1, 1) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:29,046] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [ListVariable(), ListIteratorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:29,050] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,050] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,050] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 26 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,050] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:29,050] [1/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e2733d60, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128>
[2023-11-01 20:50:29,050] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST images [ListVariable()]
[2023-11-01 20:50:29,051] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:129 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 1)
[2023-11-01 20:50:29,051] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = ImageList.from_tensors(
[2023-11-01 20:50:29,051] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL ImageList []
[2023-11-01 20:50:29,051] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR from_tensors [UserDefinedClassVariable()]
[2023-11-01 20:50:29,052] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:130 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 1)
[2023-11-01 20:50:29,052] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 images,
[2023-11-01 20:50:29,052] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST images [UserFunctionVariable()]
[2023-11-01 20:50:29,052] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:131 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 1)
[2023-11-01 20:50:29,052] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 self.backbone.size_divisibility,
[2023-11-01 20:50:29,052] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [UserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:29,052] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR backbone [UserFunctionVariable(), ListVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,058] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR size_divisibility [UserFunctionVariable(), ListVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,058] [1/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object size_divisibility at 0x7fe1e5dda1e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 118>, inlined by default
[2023-11-01 20:50:29,059] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:118 in size_divisibility (FPN) (inline depth: 2)
[2023-11-01 20:50:29,059] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         @property
[2023-11-01 20:50:29,059] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:120 in size_divisibility (FPN.size_divisibility) (inline depth: 2)
[2023-11-01 20:50:29,059] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return self._size_divisibility
[2023-11-01 20:50:29,059] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:29,059] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _size_divisibility [NNModuleVariable()]
[2023-11-01 20:50:29,059] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(int)]
[2023-11-01 20:50:29,060] [1/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object size_divisibility at 0x7fe1e5dda1e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 118>
[2023-11-01 20:50:29,060] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:132 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 1)
[2023-11-01 20:50:29,060] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 padding_constraints=self.backbone.padding_constraints,
[2023-11-01 20:50:29,060] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [UserFunctionVariable(), ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,060] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR backbone [UserFunctionVariable(), ListVariable(), ConstantVariable(int), NNModuleVariable()]
[2023-11-01 20:50:29,060] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR padding_constraints [UserFunctionVariable(), ListVariable(), ConstantVariable(int), NNModuleVariable()]
[2023-11-01 20:50:29,061] [1/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object padding_constraints at 0x7fe1e5dda290, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 122>, inlined by default
[2023-11-01 20:50:29,061] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:122 in padding_constraints (FPN) (inline depth: 2)
[2023-11-01 20:50:29,061] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         @property
[2023-11-01 20:50:29,061] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:124 in padding_constraints (FPN.padding_constraints) (inline depth: 2)
[2023-11-01 20:50:29,061] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return {"square_size": self._square_pad}
[2023-11-01 20:50:29,061] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST square_size []
[2023-11-01 20:50:29,062] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [ConstantVariable(str)]
[2023-11-01 20:50:29,062] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _square_pad [ConstantVariable(str), NNModuleVariable()]
[2023-11-01 20:50:29,062] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 1 [ConstantVariable(str), ConstantVariable(int)]
[2023-11-01 20:50:29,062] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstDictVariable()]
[2023-11-01 20:50:29,062] [1/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object padding_constraints at 0x7fe1e5dda290, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 122>
[2023-11-01 20:50:29,062] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:129 in preprocess_image (DenseDetector.preprocess_image) (inline depth: 1)
[2023-11-01 20:50:29,062] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = ImageList.from_tensors(
[2023-11-01 20:50:29,063] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('padding_constraints',) [UserFunctionVariable(), ListVariable(), ConstantVariable(int), ConstDictVariable()]
[2023-11-01 20:50:29,063] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [UserFunctionVariable(), ListVariable(), ConstantVariable(int), ConstDictVariable(), TupleVariable()]
[2023-11-01 20:50:29,063] [1/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object from_tensors at 0x7fe1e5db4df0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 58>, inlined by default
[2023-11-01 20:50:29,065] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:58 in from_tensors (ImageList) (inline depth: 2)
[2023-11-01 20:50:29,065] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         @staticmethod
[2023-11-01 20:50:29,065] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:81 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,065] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             assert len(tensors) > 0
[2023-11-01 20:50:29,065] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len []
[2023-11-01 20:50:29,066] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(len)]
[2023-11-01 20:50:29,066] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(len), ListVariable()]
[2023-11-01 20:50:29,066] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int)]
[2023-11-01 20:50:29,066] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,066] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 16 [ConstantVariable(bool)]
[2023-11-01 20:50:29,067] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:82 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,067] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             assert isinstance(tensors, (tuple, list))
[2023-11-01 20:50:29,067] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL isinstance []
[2023-11-01 20:50:29,067] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(isinstance)]
[2023-11-01 20:50:29,067] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL tuple [BuiltinVariable(isinstance), ListVariable()]
[2023-11-01 20:50:29,067] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [BuiltinVariable(isinstance), ListVariable(), BuiltinVariable(tuple)]
[2023-11-01 20:50:29,067] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [BuiltinVariable(isinstance), ListVariable(), BuiltinVariable(tuple), BuiltinVariable(list)]
[2023-11-01 20:50:29,067] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [BuiltinVariable(isinstance), ListVariable(), TupleVariable()]
[2023-11-01 20:50:29,068] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 34 [ConstantVariable(bool)]
[2023-11-01 20:50:29,068] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:83 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,068] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             for t in tensors:
[2023-11-01 20:50:29,068] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors []
[2023-11-01 20:50:29,068] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [ListVariable()]
[2023-11-01 20:50:29,068] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 110 [ListIteratorVariable()]
[2023-11-01 20:50:29,069] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,069] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:84 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,069] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 assert isinstance(t, torch.Tensor), type(t)
[2023-11-01 20:50:29,069] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL isinstance [ListIteratorVariable()]
[2023-11-01 20:50:29,069] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListIteratorVariable(), BuiltinVariable(isinstance)]
[2023-11-01 20:50:29,069] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable()]
[2023-11-01 20:50:29,070] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable(), TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,070] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable(), TorchVariable(<class 'torch.Tensor'>)]
[2023-11-01 20:50:29,071] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 66 [ListIteratorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:29,071] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:85 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,071] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 assert t.shape[:-2] == tensors[0].shape[:-2], t.shape
[2023-11-01 20:50:29,071] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListIteratorVariable()]
[2023-11-01 20:50:29,071] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,072] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:29,072] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListIteratorVariable(), SizeVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:29,072] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ListIteratorVariable(), SizeVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
[2023-11-01 20:50:29,072] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), SliceVariable()]
[2023-11-01 20:50:29,072] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:29,072] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ListIteratorVariable(), SizeVariable(), ListVariable()]
[2023-11-01 20:50:29,073] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,073] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListIteratorVariable(), SizeVariable(), TensorVariable()]
[2023-11-01 20:50:29,073] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ListIteratorVariable(), SizeVariable(), SizeVariable()]
[2023-11-01 20:50:29,073] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListIteratorVariable(), SizeVariable(), SizeVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:29,074] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ListIteratorVariable(), SizeVariable(), SizeVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
[2023-11-01 20:50:29,074] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), SizeVariable(), SliceVariable()]
[2023-11-01 20:50:29,074] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ListIteratorVariable(), SizeVariable(), SizeVariable()]
[2023-11-01 20:50:29,074] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 108 [ListIteratorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:29,074] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 38 [ListIteratorVariable()]
[2023-11-01 20:50:29,074] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:83 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,074] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             for t in tensors:
[2023-11-01 20:50:29,074] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 110 [ListIteratorVariable()]
[2023-11-01 20:50:29,075] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:87 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,075] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes = [(im.shape[-2], im.shape[-1]) for im in tensors]
[2023-11-01 20:50:29,075] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87> []
[2023-11-01 20:50:29,075] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ImageList.from_tensors.<locals>.<listcomp> [ConstantVariable(code)]
[2023-11-01 20:50:29,075] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:29,075] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [NestedUserFunctionVariable()]
[2023-11-01 20:50:29,075] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:29,075] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,076] [1/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87>, inlined by default
[2023-11-01 20:50:29,076] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:87 in <listcomp> (ImageList.from_tensors) (inline depth: 3)
[2023-11-01 20:50:29,076] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes = [(im.shape[-2], im.shape[-1]) for im in tensors]
[2023-11-01 20:50:29,076] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:29,076] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:29,076] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 30 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,077] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST im [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,077] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST im [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,077] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,077] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListVariable(), ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:29,077] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ListIteratorVariable(), SizeVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,078] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST im [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,078] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListVariable(), ListIteratorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,078] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ListVariable(), ListIteratorVariable(), ConstantVariable(int), SizeVariable()]
[2023-11-01 20:50:29,078] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ListIteratorVariable(), ConstantVariable(int), SizeVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,079] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ListVariable(), ListIteratorVariable(), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,079] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TupleVariable()]
[2023-11-01 20:50:29,079] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,079] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 30 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,079] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:29,079] [1/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87>
[2023-11-01 20:50:29,080] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_sizes [ListVariable()]
[2023-11-01 20:50:29,080] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:88 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,080] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
[2023-11-01 20:50:29,080] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88> []
[2023-11-01 20:50:29,080] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ImageList.from_tensors.<locals>.<listcomp> [ConstantVariable(code)]
[2023-11-01 20:50:29,080] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:29,080] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes [NestedUserFunctionVariable()]
[2023-11-01 20:50:29,080] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:29,081] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,081] [1/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88>, inlined by default
[2023-11-01 20:50:29,081] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:88 in <listcomp> (ImageList.from_tensors) (inline depth: 3)
[2023-11-01 20:50:29,081] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
[2023-11-01 20:50:29,081] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:29,081] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:29,081] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,082] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListVariable(), ListIteratorVariable(), TupleVariable()]
[2023-11-01 20:50:29,082] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL shapes_to_tensor [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,083] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), ListIteratorVariable(), UserFunctionVariable()]
[2023-11-01 20:50:29,083] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ListVariable(), ListIteratorVariable(), UserFunctionVariable(), TupleVariable()]
[2023-11-01 20:50:29,083] [1/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object shapes_to_tensor at 0x7fe1f0d779f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 19>, inlined by default
[2023-11-01 20:50:29,084] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:19 in shapes_to_tensor (shapes_to_tensor) (inline depth: 4)
[2023-11-01 20:50:29,084] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     def shapes_to_tensor(x: List[int], device: Optional[torch.device] = None) -> torch.Tensor:
[2023-11-01 20:50:29,084] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:27 in shapes_to_tensor (shapes_to_tensor) (inline depth: 4)
[2023-11-01 20:50:29,084] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if torch.jit.is_scripting():
[2023-11-01 20:50:29,084] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,085] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,085] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:29,086] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:29,086] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 24 [ConstantVariable(bool)]
[2023-11-01 20:50:29,086] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:29 in shapes_to_tensor (shapes_to_tensor) (inline depth: 4)
[2023-11-01 20:50:29,086] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if torch.jit.is_tracing():
[2023-11-01 20:50:29,086] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,087] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,087] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_tracing [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:29,087] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_tracing at 0x7fe23c3675b0>)]
[2023-11-01 20:50:29,088] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 96 [ConstantVariable(bool)]
[2023-11-01 20:50:29,088] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:38 in shapes_to_tensor (shapes_to_tensor) (inline depth: 4)
[2023-11-01 20:50:29,088] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         return torch.as_tensor(x, device=device)
[2023-11-01 20:50:29,088] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,088] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,089] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:29,089] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST device [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable()]
[2023-11-01 20:50:29,089] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:29,089] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable(), ConstantVariable(NoneType), TupleVariable()]
[2023-11-01 20:50:29,091] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:29,091] [1/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object shapes_to_tensor at 0x7fe1f0d779f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 19>
[2023-11-01 20:50:29,091] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,092] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,092] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,092] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:29,092] [1/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88>
[2023-11-01 20:50:29,092] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_sizes_tensor [ListVariable()]
[2023-11-01 20:50:29,092] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:89 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,092] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             max_size = torch.stack(image_sizes_tensor).max(0).values
[2023-11-01 20:50:29,093] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,093] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,093] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes_tensor [TorchVariable(<built-in method stack of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:29,094] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method stack of type object at 0x7fe2ae3e5f40>), ListVariable()]
[2023-11-01 20:50:29,096] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
[2023-11-01 20:50:29,096] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), max)]
[2023-11-01 20:50:29,096] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
[2023-11-01 20:50:29,099] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR values [NamedTupleVariable()]
[2023-11-01 20:50:29,099] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_size [TensorVariable()]
[2023-11-01 20:50:29,099] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:91 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,099] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if padding_constraints is not None:
[2023-11-01 20:50:29,099] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints []
[2023-11-01 20:50:29,099] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstDictVariable()]
[2023-11-01 20:50:29,099] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [ConstDictVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:29,100] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 216 [ConstantVariable(bool)]
[2023-11-01 20:50:29,100] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:92 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,100] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 square_size = padding_constraints.get("square_size", 0)
[2023-11-01 20:50:29,100] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints []
[2023-11-01 20:50:29,100] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR get [ConstDictVariable()]
[2023-11-01 20:50:29,100] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST square_size [GetAttrVariable(ConstDictVariable(), get)]
[2023-11-01 20:50:29,100] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(ConstDictVariable(), get), ConstantVariable(str)]
[2023-11-01 20:50:29,100] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(ConstDictVariable(), get), ConstantVariable(str), ConstantVariable(int)]
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST square_size [ConstantVariable(int)]
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:93 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if square_size > 0:
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST square_size []
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int)]
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 200 [ConstantVariable(bool)]
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:96 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if "size_divisibility" in padding_constraints:
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST size_divisibility []
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints [ConstantVariable(str)]
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CONTAINS_OP 0 [ConstantVariable(str), ConstDictVariable()]
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 216 [ConstantVariable(bool)]
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:98 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if size_divisibility > 1:
[2023-11-01 20:50:29,101] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST size_divisibility []
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int)]
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 254 [ConstantVariable(bool)]
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:99 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 stride = size_divisibility
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST size_divisibility []
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST stride [ConstantVariable(int)]
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:101 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size []
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TensorVariable()]
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,102] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,104] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable()]
[2023-11-01 20:50:29,104] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [GetAttrVariable(TensorVariable(), div)]
[2023-11-01 20:50:29,105] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [GetAttrVariable(TensorVariable(), div), ConstantVariable(int)]
[2023-11-01 20:50:29,105] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [GetAttrVariable(TensorVariable(), div), ConstantVariable(int), ConstantVariable(str)]
[2023-11-01 20:50:29,105] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), div), ConstantVariable(int), ConstantVariable(str), TupleVariable()]
[2023-11-01 20:50:29,109] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TensorVariable()]
[2023-11-01 20:50:29,109] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,110] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_size [TensorVariable()]
[2023-11-01 20:50:29,110] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:104 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,110] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if torch.jit.is_scripting():
[2023-11-01 20:50:29,110] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,111] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,111] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:29,112] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:29,112] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 284 [ConstantVariable(bool)]
[2023-11-01 20:50:29,112] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:107 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,112] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if torch.jit.is_tracing():
[2023-11-01 20:50:29,112] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,113] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,113] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_tracing [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:29,113] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_tracing at 0x7fe23c3675b0>)]
[2023-11-01 20:50:29,114] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 298 [ConstantVariable(bool)]
[2023-11-01 20:50:29,114] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:110 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,114] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if len(tensors) == 1:
[2023-11-01 20:50:29,114] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len []
[2023-11-01 20:50:29,114] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(len)]
[2023-11-01 20:50:29,114] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(len), ListVariable()]
[2023-11-01 20:50:29,115] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int)]
[2023-11-01 20:50:29,115] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,115] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 382 [ConstantVariable(bool)]
[2023-11-01 20:50:29,115] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:113 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,115] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 image_size = image_sizes[0]
[2023-11-01 20:50:29,115] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes []
[2023-11-01 20:50:29,115] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ListVariable()]
[2023-11-01 20:50:29,115] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,115] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_size [TupleVariable()]
[2023-11-01 20:50:29,116] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:114 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,116] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 padding_size = [0, max_size[-1] - image_size[1], 0, max_size[-2] - image_size[0]]
[2023-11-01 20:50:29,116] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 []
[2023-11-01 20:50:29,116] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size [ConstantVariable(int)]
[2023-11-01 20:50:29,116] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,116] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,117] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_size [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,117] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int), TensorVariable(), TupleVariable()]
[2023-11-01 20:50:29,118] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,118] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,119] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,119] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,120] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,120] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,121] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_size [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,121] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), TupleVariable()]
[2023-11-01 20:50:29,121] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,121] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,123] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,123] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST padding_size [ListVariable()]
[2023-11-01 20:50:29,123] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:115 in from_tensors (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,123] [1/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 batched_imgs = F.pad(tensors[0], padding_size, value=pad_value).unsqueeze_(0)
[2023-11-01 20:50:29,124] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:29,124] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pad [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:29,125] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [TorchVariable(<built-in function pad>)]
[2023-11-01 20:50:29,125] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in function pad>), ListVariable()]
[2023-11-01 20:50:29,125] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(<built-in function pad>), ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,125] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_size [TorchVariable(<built-in function pad>), TensorVariable()]
[2023-11-01 20:50:29,125] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST pad_value [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable()]
[2023-11-01 20:50:29,125] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('value',) [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable(), ConstantVariable(float)]
[2023-11-01 20:50:29,125] [1/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable(), ConstantVariable(float), TupleVariable()]
[2023-11-01 20:50:29,128] [1/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:29,128] [1/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object from_tensors at 0x7fe1e5db4df0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 58>
[2023-11-01 20:50:29,128] [1/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 13 nodes
[2023-11-01 20:50:29,129] [1/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:29,129] [1/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object preprocess_image at 0x7fe1e2733e10, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 123>
[2023-11-01 20:50:29,129] [1/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 5 nodes
[2023-11-01 20:50:29,129] [1/0] torch._dynamo.symbolic_convert: [DEBUG] break_graph_if_unsupported triggered compile
[2023-11-01 20:50:29,130] [1/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:29,130] [1/0] torch._dynamo.output_graph: [DEBUG] COMPILING GRAPH due to GraphCompileReason(reason='data dependent operator: aten._local_scalar_dense.default', user_stack=[<FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py, line 95 in forward>, <FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py, line 129 in preprocess_image>, <FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py, line 115 in from_tensors>], graph_break=True)
[2023-11-01 20:50:29,140] [1/0] torch._dynamo.guards.__guards: [DEBUG] GUARDS:
[2023-11-01 20:50:29,140] [1/0] torch._dynamo.guards.__guards: [DEBUG] ___check_obj_id(L['self'], 140608108162752)                 
[2023-11-01 20:50:29,142] [1/0] torch._dynamo.guards.__guards: [DEBUG] L['self'].training == False                                 
[2023-11-01 20:50:29,142] [1/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'], 7629888)                # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:29,143] [1/0] torch._dynamo.guards.__guards: [DEBUG] len(L['batched_inputs']) == 1                                 # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:29,143] [1/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'][0], 7626144)             # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:29,143] [1/0] torch._dynamo.guards.__guards: [DEBUG] set(L['batched_inputs'][0].keys()) == {'image_id', 'file_name', 'width', 'image', 'height'}  # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:29,144] [1/0] torch._dynamo.guards.__guards: [DEBUG] hasattr(L['batched_inputs'][0]['image'], '_dynamo_dynamic_indices') == False  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:29,144] [1/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'][0]['width'], 7628128)  
[2023-11-01 20:50:29,144] [1/0] torch._dynamo.guards.__guards: [DEBUG] L['batched_inputs'][0]['width'] == 640                      
[2023-11-01 20:50:29,145] [1/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'][0]['height'], 7628128) 
[2023-11-01 20:50:29,145] [1/0] torch._dynamo.guards.__guards: [DEBUG] L['batched_inputs'][0]['height'] == 427                     
[2023-11-01 20:50:29,146] [1/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'][0]['image_id'], 7628128)
[2023-11-01 20:50:29,146] [1/0] torch._dynamo.guards.__guards: [DEBUG] L['batched_inputs'][0]['image_id'] == 1268                  
[2023-11-01 20:50:29,146] [1/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'][0]['file_name'], 7593344)
[2023-11-01 20:50:29,147] [1/0] torch._dynamo.guards.__guards: [DEBUG] L['batched_inputs'][0]['file_name'] == '/home/dberard/local/benchmark/torchbenchmark/data/.data/coco2017-minimal/coco/val2017/000000001268.jpg'
[2023-11-01 20:50:29,147] [1/0] torch._dynamo.guards.__guards: [DEBUG] utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:370 in init_ambient_guards
[2023-11-01 20:50:29,147] [1/0] torch._dynamo.guards.__guards: [DEBUG] ___skip_backend_check() or ___current_backend() == ___lookup_backend(140608569684848)  # _dynamo/output_graph.py:376 in init_ambient_guards
[2023-11-01 20:50:29,148] [1/0] torch._dynamo.guards.__guards: [DEBUG] check_tensor(L['batched_inputs'][0]['image'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA, AutocastCUDA), torch.float16, device=0, requires_grad=False, size=[3, 800, 1199], stride=[959200, 1199, 1])  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:29,156] [2/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing preprocess_image /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:123
[2023-11-01 20:50:29,157] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:123 in preprocess_image (DenseDetector.preprocess_image)
[2023-11-01 20:50:29,157] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def preprocess_image(self, batched_inputs: List[Dict[str, Tensor]]):
[2023-11-01 20:50:29,165] [2/0] torch._dynamo.output_graph: [DEBUG] create_graph_input L_batched_inputs_0_image_ L['batched_inputs'][0]['image']
[2023-11-01 20:50:29,166] [2/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['batched_inputs'][0]['image'] (3, 800, 1199) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:29,168] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:127 in preprocess_image (DenseDetector.preprocess_image)
[2023-11-01 20:50:29,168] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [self._move_to_current_device(x["image"]) for x in batched_inputs]
[2023-11-01 20:50:29,168] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE self []
[2023-11-01 20:50:29,168] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [ClosureVariable()]
[2023-11-01 20:50:29,168] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e2733cb0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 127> [TupleVariable()]
[2023-11-01 20:50:29,168] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST DenseDetector.preprocess_image.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
[2023-11-01 20:50:29,168] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:29,168] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST batched_inputs [NestedUserFunctionVariable()]
[2023-11-01 20:50:29,168] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:29,169] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,169] [2/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e2733cb0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 127>, inlined by default
[2023-11-01 20:50:29,170] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:127 in <listcomp> (DenseDetector.preprocess_image) (inline depth: 1)
[2023-11-01 20:50:29,170] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [self._move_to_current_device(x["image"]) for x in batched_inputs]
[2023-11-01 20:50:29,170] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:29,170] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:29,170] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 24 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,170] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListVariable(), ListIteratorVariable(), ConstDictVariable()]
[2023-11-01 20:50:29,170] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,170] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _move_to_current_device [ListVariable(), ListIteratorVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,171] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable())]
[2023-11-01 20:50:29,171] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST image [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable()), ConstDictVariable()]
[2023-11-01 20:50:29,171] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable()), ConstDictVariable(), ConstantVariable(str)]
[2023-11-01 20:50:29,172] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ListVariable(), ListIteratorVariable(), UserMethodVariable(<function DenseDetector._move_to_current_device at 0x7fe1e273eb90>, NNModuleVariable()), TensorVariable()]
[2023-11-01 20:50:29,172] [2/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _move_to_current_device at 0x7fe1e2733940, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 72>, inlined by default
[2023-11-01 20:50:29,172] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:72 in _move_to_current_device (DenseDetector._move_to_current_device) (inline depth: 2)
[2023-11-01 20:50:29,172] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _move_to_current_device(self, x):
[2023-11-01 20:50:29,172] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:73 in _move_to_current_device (DenseDetector._move_to_current_device) (inline depth: 2)
[2023-11-01 20:50:29,172] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return move_device_like(x, self.pixel_mean)
[2023-11-01 20:50:29,172] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL move_device_like []
[2023-11-01 20:50:29,173] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
[2023-11-01 20:50:29,173] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [UserFunctionVariable(), TensorVariable()]
[2023-11-01 20:50:29,173] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pixel_mean [UserFunctionVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,174] [2/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].pixel_mean (3, 1, 1) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:29,175] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:29,176] [2/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object move_device_like at 0x7fe1f0d842f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 156>, inlined by default
[2023-11-01 20:50:29,176] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:156 in move_device_like () (inline depth: 3)
[2023-11-01 20:50:29,176] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     @torch.jit.script_if_tracing
[2023-11-01 20:50:29,176] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:162 in move_device_like (move_device_like) (inline depth: 3)
[2023-11-01 20:50:29,176] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         return src.to(dst.device)
[2023-11-01 20:50:29,176] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src []
[2023-11-01 20:50:29,176] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
[2023-11-01 20:50:29,177] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dst [GetAttrVariable(TensorVariable(), to)]
[2023-11-01 20:50:29,177] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
[2023-11-01 20:50:29,177] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(device)]
[2023-11-01 20:50:29,178] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:29,178] [2/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object move_device_like at 0x7fe1f0d842f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 156>
[2023-11-01 20:50:29,178] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:29,179] [2/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _move_to_current_device at 0x7fe1e2733940, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 72>
[2023-11-01 20:50:29,179] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,179] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,179] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 24 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,179] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:29,179] [2/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e2733cb0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 127>
[2023-11-01 20:50:29,179] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST images [ListVariable()]
[2023-11-01 20:50:29,179] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:128 in preprocess_image (DenseDetector.preprocess_image)
[2023-11-01 20:50:29,179] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [(x - self.pixel_mean) / self.pixel_std for x in images]
[2023-11-01 20:50:29,179] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE self []
[2023-11-01 20:50:29,180] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [ClosureVariable()]
[2023-11-01 20:50:29,180] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e2733d60, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128> [TupleVariable()]
[2023-11-01 20:50:29,180] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST DenseDetector.preprocess_image.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
[2023-11-01 20:50:29,180] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:29,180] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST images [NestedUserFunctionVariable()]
[2023-11-01 20:50:29,180] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:29,180] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,181] [2/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e2733d60, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128>, inlined by default
[2023-11-01 20:50:29,181] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:128 in <listcomp> (DenseDetector.preprocess_image) (inline depth: 1)
[2023-11-01 20:50:29,181] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = [(x - self.pixel_mean) / self.pixel_std for x in images]
[2023-11-01 20:50:29,181] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:29,181] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:29,181] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 26 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,181] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,182] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,182] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,182] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pixel_mean [ListVariable(), ListIteratorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,182] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [ListVariable(), ListIteratorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:29,185] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,186] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pixel_std [ListVariable(), ListIteratorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,186] [2/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].pixel_std (3, 1, 1) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:29,187] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [ListVariable(), ListIteratorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:29,190] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,190] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,190] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 26 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,190] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:29,191] [2/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e2733d60, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 128>
[2023-11-01 20:50:29,191] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST images [ListVariable()]
[2023-11-01 20:50:29,191] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:129 in preprocess_image (DenseDetector.preprocess_image)
[2023-11-01 20:50:29,191] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = ImageList.from_tensors(
[2023-11-01 20:50:29,191] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL ImageList []
[2023-11-01 20:50:29,192] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR from_tensors [UserDefinedClassVariable()]
[2023-11-01 20:50:29,192] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:130 in preprocess_image (DenseDetector.preprocess_image)
[2023-11-01 20:50:29,192] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 images,
[2023-11-01 20:50:29,192] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST images [UserFunctionVariable()]
[2023-11-01 20:50:29,192] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:131 in preprocess_image (DenseDetector.preprocess_image)
[2023-11-01 20:50:29,192] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 self.backbone.size_divisibility,
[2023-11-01 20:50:29,193] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [UserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:29,193] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR backbone [UserFunctionVariable(), ListVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,197] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR size_divisibility [UserFunctionVariable(), ListVariable(), NNModuleVariable()]
[2023-11-01 20:50:29,198] [2/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object size_divisibility at 0x7fe1e5dda1e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 118>, inlined by default
[2023-11-01 20:50:29,198] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:118 in size_divisibility (FPN) (inline depth: 1)
[2023-11-01 20:50:29,198] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         @property
[2023-11-01 20:50:29,198] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:120 in size_divisibility (FPN.size_divisibility) (inline depth: 1)
[2023-11-01 20:50:29,198] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return self._size_divisibility
[2023-11-01 20:50:29,198] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:29,198] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _size_divisibility [NNModuleVariable()]
[2023-11-01 20:50:29,199] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(int)]
[2023-11-01 20:50:29,199] [2/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object size_divisibility at 0x7fe1e5dda1e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 118>
[2023-11-01 20:50:29,199] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:132 in preprocess_image (DenseDetector.preprocess_image)
[2023-11-01 20:50:29,199] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 padding_constraints=self.backbone.padding_constraints,
[2023-11-01 20:50:29,199] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [UserFunctionVariable(), ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,199] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR backbone [UserFunctionVariable(), ListVariable(), ConstantVariable(int), NNModuleVariable()]
[2023-11-01 20:50:29,200] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR padding_constraints [UserFunctionVariable(), ListVariable(), ConstantVariable(int), NNModuleVariable()]
[2023-11-01 20:50:29,200] [2/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object padding_constraints at 0x7fe1e5dda290, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 122>, inlined by default
[2023-11-01 20:50:29,200] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:122 in padding_constraints (FPN) (inline depth: 1)
[2023-11-01 20:50:29,200] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         @property
[2023-11-01 20:50:29,201] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:124 in padding_constraints (FPN.padding_constraints) (inline depth: 1)
[2023-11-01 20:50:29,201] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return {"square_size": self._square_pad}
[2023-11-01 20:50:29,201] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST square_size []
[2023-11-01 20:50:29,201] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [ConstantVariable(str)]
[2023-11-01 20:50:29,201] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _square_pad [ConstantVariable(str), NNModuleVariable()]
[2023-11-01 20:50:29,201] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 1 [ConstantVariable(str), ConstantVariable(int)]
[2023-11-01 20:50:29,201] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstDictVariable()]
[2023-11-01 20:50:29,201] [2/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object padding_constraints at 0x7fe1e5dda290, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 122>
[2023-11-01 20:50:29,202] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:129 in preprocess_image (DenseDetector.preprocess_image)
[2023-11-01 20:50:29,202] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = ImageList.from_tensors(
[2023-11-01 20:50:29,202] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('padding_constraints',) [UserFunctionVariable(), ListVariable(), ConstantVariable(int), ConstDictVariable()]
[2023-11-01 20:50:29,202] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [UserFunctionVariable(), ListVariable(), ConstantVariable(int), ConstDictVariable(), TupleVariable()]
[2023-11-01 20:50:29,202] [2/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object from_tensors at 0x7fe1e5db4df0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 58>, inlined by default
[2023-11-01 20:50:29,204] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:58 in from_tensors (ImageList) (inline depth: 1)
[2023-11-01 20:50:29,204] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         @staticmethod
[2023-11-01 20:50:29,204] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:81 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,204] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             assert len(tensors) > 0
[2023-11-01 20:50:29,204] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len []
[2023-11-01 20:50:29,205] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(len)]
[2023-11-01 20:50:29,205] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(len), ListVariable()]
[2023-11-01 20:50:29,205] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int)]
[2023-11-01 20:50:29,205] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,205] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 16 [ConstantVariable(bool)]
[2023-11-01 20:50:29,206] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:82 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,206] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             assert isinstance(tensors, (tuple, list))
[2023-11-01 20:50:29,206] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL isinstance []
[2023-11-01 20:50:29,206] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(isinstance)]
[2023-11-01 20:50:29,206] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL tuple [BuiltinVariable(isinstance), ListVariable()]
[2023-11-01 20:50:29,206] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [BuiltinVariable(isinstance), ListVariable(), BuiltinVariable(tuple)]
[2023-11-01 20:50:29,206] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [BuiltinVariable(isinstance), ListVariable(), BuiltinVariable(tuple), BuiltinVariable(list)]
[2023-11-01 20:50:29,206] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [BuiltinVariable(isinstance), ListVariable(), TupleVariable()]
[2023-11-01 20:50:29,207] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 34 [ConstantVariable(bool)]
[2023-11-01 20:50:29,207] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:83 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,207] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             for t in tensors:
[2023-11-01 20:50:29,207] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors []
[2023-11-01 20:50:29,207] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [ListVariable()]
[2023-11-01 20:50:29,207] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 110 [ListIteratorVariable()]
[2023-11-01 20:50:29,208] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,208] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:84 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,208] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 assert isinstance(t, torch.Tensor), type(t)
[2023-11-01 20:50:29,208] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL isinstance [ListIteratorVariable()]
[2023-11-01 20:50:29,208] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListIteratorVariable(), BuiltinVariable(isinstance)]
[2023-11-01 20:50:29,208] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable()]
[2023-11-01 20:50:29,209] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable(), TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,209] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable(), TorchVariable(<class 'torch.Tensor'>)]
[2023-11-01 20:50:29,210] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 66 [ListIteratorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:29,210] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:85 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,210] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 assert t.shape[:-2] == tensors[0].shape[:-2], t.shape
[2023-11-01 20:50:29,210] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListIteratorVariable()]
[2023-11-01 20:50:29,210] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,210] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:29,210] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListIteratorVariable(), SizeVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:29,211] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ListIteratorVariable(), SizeVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
[2023-11-01 20:50:29,211] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), SliceVariable()]
[2023-11-01 20:50:29,211] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:29,211] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ListIteratorVariable(), SizeVariable(), ListVariable()]
[2023-11-01 20:50:29,211] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,212] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListIteratorVariable(), SizeVariable(), TensorVariable()]
[2023-11-01 20:50:29,212] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ListIteratorVariable(), SizeVariable(), SizeVariable()]
[2023-11-01 20:50:29,212] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListIteratorVariable(), SizeVariable(), SizeVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:29,212] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ListIteratorVariable(), SizeVariable(), SizeVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
[2023-11-01 20:50:29,212] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), SizeVariable(), SliceVariable()]
[2023-11-01 20:50:29,213] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ListIteratorVariable(), SizeVariable(), SizeVariable()]
[2023-11-01 20:50:29,213] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 108 [ListIteratorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:29,213] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 38 [ListIteratorVariable()]
[2023-11-01 20:50:29,213] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:83 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,213] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             for t in tensors:
[2023-11-01 20:50:29,213] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 110 [ListIteratorVariable()]
[2023-11-01 20:50:29,213] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:87 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,213] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes = [(im.shape[-2], im.shape[-1]) for im in tensors]
[2023-11-01 20:50:29,213] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87> []
[2023-11-01 20:50:29,214] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ImageList.from_tensors.<locals>.<listcomp> [ConstantVariable(code)]
[2023-11-01 20:50:29,214] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:29,214] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [NestedUserFunctionVariable()]
[2023-11-01 20:50:29,214] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:29,214] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,215] [2/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87>, inlined by default
[2023-11-01 20:50:29,215] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:87 in <listcomp> (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,215] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes = [(im.shape[-2], im.shape[-1]) for im in tensors]
[2023-11-01 20:50:29,215] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:29,215] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:29,215] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 30 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,215] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST im [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,216] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST im [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,216] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,216] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListVariable(), ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:29,216] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ListIteratorVariable(), SizeVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,216] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST im [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,217] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListVariable(), ListIteratorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,217] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ListVariable(), ListIteratorVariable(), ConstantVariable(int), SizeVariable()]
[2023-11-01 20:50:29,217] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ListIteratorVariable(), ConstantVariable(int), SizeVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,218] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ListVariable(), ListIteratorVariable(), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,218] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TupleVariable()]
[2023-11-01 20:50:29,218] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,218] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 30 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,218] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:29,218] [2/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87>
[2023-11-01 20:50:29,218] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_sizes [ListVariable()]
[2023-11-01 20:50:29,219] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:88 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,219] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
[2023-11-01 20:50:29,219] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88> []
[2023-11-01 20:50:29,219] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ImageList.from_tensors.<locals>.<listcomp> [ConstantVariable(code)]
[2023-11-01 20:50:29,219] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:29,219] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes [NestedUserFunctionVariable()]
[2023-11-01 20:50:29,219] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:29,219] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,220] [2/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88>, inlined by default
[2023-11-01 20:50:29,220] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:88 in <listcomp> (ImageList.from_tensors) (inline depth: 2)
[2023-11-01 20:50:29,220] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
[2023-11-01 20:50:29,220] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:29,220] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:29,220] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,220] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListVariable(), ListIteratorVariable(), TupleVariable()]
[2023-11-01 20:50:29,221] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL shapes_to_tensor [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,221] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), ListIteratorVariable(), UserFunctionVariable()]
[2023-11-01 20:50:29,221] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ListVariable(), ListIteratorVariable(), UserFunctionVariable(), TupleVariable()]
[2023-11-01 20:50:29,222] [2/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object shapes_to_tensor at 0x7fe1f0d779f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 19>, inlined by default
[2023-11-01 20:50:29,222] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:19 in shapes_to_tensor (shapes_to_tensor) (inline depth: 3)
[2023-11-01 20:50:29,222] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     def shapes_to_tensor(x: List[int], device: Optional[torch.device] = None) -> torch.Tensor:
[2023-11-01 20:50:29,223] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:27 in shapes_to_tensor (shapes_to_tensor) (inline depth: 3)
[2023-11-01 20:50:29,223] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if torch.jit.is_scripting():
[2023-11-01 20:50:29,223] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,223] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,224] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:29,224] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:29,224] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 24 [ConstantVariable(bool)]
[2023-11-01 20:50:29,224] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:29 in shapes_to_tensor (shapes_to_tensor) (inline depth: 3)
[2023-11-01 20:50:29,224] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if torch.jit.is_tracing():
[2023-11-01 20:50:29,224] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,225] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,225] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_tracing [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:29,226] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_tracing at 0x7fe23c3675b0>)]
[2023-11-01 20:50:29,226] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 96 [ConstantVariable(bool)]
[2023-11-01 20:50:29,226] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:38 in shapes_to_tensor (shapes_to_tensor) (inline depth: 3)
[2023-11-01 20:50:29,226] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         return torch.as_tensor(x, device=device)
[2023-11-01 20:50:29,226] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,227] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,227] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:29,227] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST device [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable()]
[2023-11-01 20:50:29,227] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:29,227] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable(), ConstantVariable(NoneType), TupleVariable()]
[2023-11-01 20:50:29,231] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:29,231] [2/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object shapes_to_tensor at 0x7fe1f0d779f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 19>
[2023-11-01 20:50:29,231] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:29,231] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,231] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:29,231] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:29,231] [2/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88>
[2023-11-01 20:50:29,231] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_sizes_tensor [ListVariable()]
[2023-11-01 20:50:29,232] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:89 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,232] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             max_size = torch.stack(image_sizes_tensor).max(0).values
[2023-11-01 20:50:29,232] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,232] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,233] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes_tensor [TorchVariable(<built-in method stack of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:29,233] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method stack of type object at 0x7fe2ae3e5f40>), ListVariable()]
[2023-11-01 20:50:29,235] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
[2023-11-01 20:50:29,235] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), max)]
[2023-11-01 20:50:29,235] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
[2023-11-01 20:50:29,237] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR values [NamedTupleVariable()]
[2023-11-01 20:50:29,238] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_size [TensorVariable()]
[2023-11-01 20:50:29,238] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:91 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,238] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if padding_constraints is not None:
[2023-11-01 20:50:29,238] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints []
[2023-11-01 20:50:29,238] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstDictVariable()]
[2023-11-01 20:50:29,238] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [ConstDictVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:29,238] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 216 [ConstantVariable(bool)]
[2023-11-01 20:50:29,239] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:92 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,239] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 square_size = padding_constraints.get("square_size", 0)
[2023-11-01 20:50:29,239] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints []
[2023-11-01 20:50:29,239] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR get [ConstDictVariable()]
[2023-11-01 20:50:29,239] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST square_size [GetAttrVariable(ConstDictVariable(), get)]
[2023-11-01 20:50:29,239] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(ConstDictVariable(), get), ConstantVariable(str)]
[2023-11-01 20:50:29,239] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(ConstDictVariable(), get), ConstantVariable(str), ConstantVariable(int)]
[2023-11-01 20:50:29,239] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST square_size [ConstantVariable(int)]
[2023-11-01 20:50:29,239] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:93 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,239] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if square_size > 0:
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST square_size []
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int)]
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 200 [ConstantVariable(bool)]
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:96 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if "size_divisibility" in padding_constraints:
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST size_divisibility []
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints [ConstantVariable(str)]
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CONTAINS_OP 0 [ConstantVariable(str), ConstDictVariable()]
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 216 [ConstantVariable(bool)]
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:98 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if size_divisibility > 1:
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST size_divisibility []
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int)]
[2023-11-01 20:50:29,240] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 254 [ConstantVariable(bool)]
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:99 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 stride = size_divisibility
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST size_divisibility []
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST stride [ConstantVariable(int)]
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:101 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size []
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TensorVariable()]
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,241] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,243] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable()]
[2023-11-01 20:50:29,243] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [GetAttrVariable(TensorVariable(), div)]
[2023-11-01 20:50:29,243] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [GetAttrVariable(TensorVariable(), div), ConstantVariable(int)]
[2023-11-01 20:50:29,244] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [GetAttrVariable(TensorVariable(), div), ConstantVariable(int), ConstantVariable(str)]
[2023-11-01 20:50:29,244] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), div), ConstantVariable(int), ConstantVariable(str), TupleVariable()]
[2023-11-01 20:50:29,247] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TensorVariable()]
[2023-11-01 20:50:29,247] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,249] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_size [TensorVariable()]
[2023-11-01 20:50:29,249] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:104 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,249] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if torch.jit.is_scripting():
[2023-11-01 20:50:29,249] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,250] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,250] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:29,251] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:29,251] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 284 [ConstantVariable(bool)]
[2023-11-01 20:50:29,251] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:107 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,251] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if torch.jit.is_tracing():
[2023-11-01 20:50:29,251] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:29,252] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:29,252] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_tracing [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:29,252] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_tracing at 0x7fe23c3675b0>)]
[2023-11-01 20:50:29,252] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 298 [ConstantVariable(bool)]
[2023-11-01 20:50:29,253] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:110 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,253] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if len(tensors) == 1:
[2023-11-01 20:50:29,253] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len []
[2023-11-01 20:50:29,253] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(len)]
[2023-11-01 20:50:29,253] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(len), ListVariable()]
[2023-11-01 20:50:29,253] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int)]
[2023-11-01 20:50:29,253] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:29,254] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 382 [ConstantVariable(bool)]
[2023-11-01 20:50:29,254] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:113 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,254] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 image_size = image_sizes[0]
[2023-11-01 20:50:29,254] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes []
[2023-11-01 20:50:29,254] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ListVariable()]
[2023-11-01 20:50:29,254] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,254] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_size [TupleVariable()]
[2023-11-01 20:50:29,254] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:114 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,254] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 padding_size = [0, max_size[-1] - image_size[1], 0, max_size[-2] - image_size[0]]
[2023-11-01 20:50:29,254] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 []
[2023-11-01 20:50:29,255] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size [ConstantVariable(int)]
[2023-11-01 20:50:29,255] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,255] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,256] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_size [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,256] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int), TensorVariable(), TupleVariable()]
[2023-11-01 20:50:29,257] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,257] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,259] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,259] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,259] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,259] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,260] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_size [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,260] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), TupleVariable()]
[2023-11-01 20:50:29,260] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,261] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,262] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:29,262] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST padding_size [ListVariable()]
[2023-11-01 20:50:29,263] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:115 in from_tensors (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:29,263] [2/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 batched_imgs = F.pad(tensors[0], padding_size, value=pad_value).unsqueeze_(0)
[2023-11-01 20:50:29,263] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:29,264] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pad [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:29,264] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [TorchVariable(<built-in function pad>)]
[2023-11-01 20:50:29,264] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in function pad>), ListVariable()]
[2023-11-01 20:50:29,264] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(<built-in function pad>), ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:29,264] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_size [TorchVariable(<built-in function pad>), TensorVariable()]
[2023-11-01 20:50:29,265] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST pad_value [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable()]
[2023-11-01 20:50:29,265] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('value',) [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable(), ConstantVariable(float)]
[2023-11-01 20:50:29,265] [2/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable(), ConstantVariable(float), TupleVariable()]
[2023-11-01 20:50:29,267] [2/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:29,267] [2/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object from_tensors at 0x7fe1e5db4df0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 58>
[2023-11-01 20:50:29,268] [2/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 13 nodes
[2023-11-01 20:50:29,268] [2/0] torch._dynamo.symbolic_convert: [DEBUG] break_graph_if_unsupported triggered compile
[2023-11-01 20:50:29,268] [2/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:29,268] [2/0] torch._dynamo.output_graph: [DEBUG] COMPILING GRAPH due to GraphCompileReason(reason='data dependent operator: aten._local_scalar_dense.default', user_stack=[<FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py, line 129 in preprocess_image>, <FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py, line 115 in from_tensors>], graph_break=True)
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  ===== __compiled_fn_4 =====
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  <eval_with_key>.48 class GraphModule(torch.nn.Module):
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]     def forward(self, L_batched_inputs_0_image_ : torch.Tensor):
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l_batched_inputs_0_image_ = L_batched_inputs_0_image_
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:73, code: return move_device_like(x, self.pixel_mean)
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___pixel_mean = self.L__self___pixel_mean
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:162, code: return src.to(dst.device)
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         x = l_batched_inputs_0_image_.to(device(type='cuda', index=0));  l_batched_inputs_0_image_ = None
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:128, code: images = [(x - self.pixel_mean) / self.pixel_std for x in images]
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         sub = x - l__self___pixel_mean;  x = l__self___pixel_mean = None
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___pixel_std = self.L__self___pixel_std
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         im = sub / l__self___pixel_std;  sub = l__self___pixel_std = None
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         return (im,)
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:29,271] [2/0] torch._dynamo.output_graph.__graph_code: [DEBUG] 
[2023-11-01 20:50:29,272] [2/0] torch._dynamo.output_graph.__graph: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:29,272] [2/0] torch._dynamo.output_graph.__graph: [DEBUG]  __compiled_fn_4 <eval_with_key>.48 opcode         name                       target                       args                                                       kwargs
[2023-11-01 20:50:29,272] [2/0] torch._dynamo.output_graph.__graph: [DEBUG] -------------  -------------------------  ---------------------------  ---------------------------------------------------------  --------
[2023-11-01 20:50:29,272] [2/0] torch._dynamo.output_graph.__graph: [DEBUG] placeholder    l_batched_inputs_0_image_  L_batched_inputs_0_image_    ()                                                         {}
[2023-11-01 20:50:29,272] [2/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___pixel_mean       L__self___pixel_mean         ()                                                         {}
[2023-11-01 20:50:29,272] [2/0] torch._dynamo.output_graph.__graph: [DEBUG] call_method    x                          to                           (l_batched_inputs_0_image_, device(type='cuda', index=0))  {}
[2023-11-01 20:50:29,272] [2/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  sub                        <built-in function sub>      (x, l__self___pixel_mean)                                  {}
[2023-11-01 20:50:29,272] [2/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___pixel_std        L__self___pixel_std          ()                                                         {}
[2023-11-01 20:50:29,272] [2/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  im                         <built-in function truediv>  (sub, l__self___pixel_std)                                 {}
[2023-11-01 20:50:29,272] [2/0] torch._dynamo.output_graph.__graph: [DEBUG] output         output                     output                       ((im,),)                                                   {}
[2023-11-01 20:50:29,272] [2/0] torch._dynamo.output_graph.__graph: [DEBUG] 
[2023-11-01 20:50:29,274] [2/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] TRACED GRAPH TENSOR SIZES
[2023-11-01 20:50:29,274] [2/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] ===== __compiled_fn_4 =====
[2023-11-01 20:50:29,274] [2/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l_batched_inputs_0_image_: (3, 800, 1199)
[2023-11-01 20:50:29,274] [2/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___pixel_mean: (3, 1, 1)
[2023-11-01 20:50:29,274] [2/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] x: (3, 800, 1199)
[2023-11-01 20:50:29,274] [2/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] sub: (3, 800, 1199)
[2023-11-01 20:50:29,274] [2/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___pixel_std: (3, 1, 1)
[2023-11-01 20:50:29,274] [2/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] im: (3, 800, 1199)
[2023-11-01 20:50:29,274] [2/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] 
[2023-11-01 20:50:29,275] [2/0] torch._dynamo.output_graph: [INFO] Step 2: calling compiler function inductor
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]  ===== FROZEN GRAPH =====
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]  <eval_with_key>.59 class <lambda>(torch.nn.Module):
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]     def forward(self, arg2_1: f16[3, 800, 1199]):
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]         # No stacktrace found for following nodes
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]         _frozen_param0: f16[3, 1, 1] = self._frozen_param0
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]         _frozen_param1: f16[3, 1, 1] = self._frozen_param1
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:128, code: images = [(x - self.pixel_mean) / self.pixel_std for x in images]
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]         sub: f16[3, 800, 1199] = torch.ops.aten.sub.Tensor(arg2_1, _frozen_param0);  arg2_1 = _frozen_param0 = None
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]         div: f16[3, 800, 1199] = torch.ops.aten.div.Tensor(sub, _frozen_param1);  sub = _frozen_param1 = None
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]         return (div,)
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:29,347] [2/0] torch._inductor.freezing: [DEBUG] 
[2023-11-01 20:50:29,349] [2/0] torch._inductor.compile_fx: [INFO] Step 3: torchinductor compiling FORWARDS graph 1
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO] TRACED GRAPH
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]  ===== AFTER POST GRAD =====
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]  <eval_with_key>.60 class <lambda>(torch.nn.Module):
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]     def forward(self, arg2_1: f16[3, 800, 1199]):
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # No stacktrace found for following nodes
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param0: f16[3, 1, 1] = self._frozen_param0
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param1: f16[3, 1, 1] = self._frozen_param1
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:128, code: images = [(x - self.pixel_mean) / self.pixel_std for x in images]
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         sub: f16[3, 800, 1199] = torch.ops.aten.sub.Tensor(arg2_1, _frozen_param0);  arg2_1 = _frozen_param0 = None
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         div: f16[3, 800, 1199] = torch.ops.aten.div.Tensor(sub, _frozen_param1);  sub = _frozen_param1 = None
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         return (div,)
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:29,368] [2/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO] 
[2023-11-01 20:50:29,370] [2/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param0 : [num_users=1] = get_attr[target=_frozen_param0]
[2023-11-01 20:50:29,380] [2/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param1 : [num_users=1] = get_attr[target=_frozen_param1]
[2023-11-01 20:50:29,384] [2/0] torch._inductor.graph: [DEBUG] lowering %arg2_1 : [num_users=1] = placeholder[target=arg2_1]
[2023-11-01 20:50:29,429] [2/0] torch._inductor.graph: [DEBUG] lowering %sub : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%arg2_1, %_frozen_param0), kwargs = {})
[2023-11-01 20:50:29,434] [2/0] torch._inductor.graph: [DEBUG] lowering %div : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%sub, %_frozen_param1), kwargs = {})
[2023-11-01 20:50:29,437] [2/0] torch._inductor.graph: [DEBUG] lowering return (div,)
[2023-11-01 20:50:29,437] [2/0] torch._inductor.graph: [DEBUG] Force channels last inputs for 0 conv for the current graph with id 1
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG] scheduling ComputedBuffer(name='buf0', layout=FixedLayout('cuda', torch.float16, size=[3, 800, 1199], stride=[959200, 1199, 1]), data=Pointwise(
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]   'cuda',
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]   torch.float16,
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]   def inner_fn(index):
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]       i0, i1, i2 = index
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]       tmp0 = ops.load(arg2_1, i2 + 1199 * i1 + 959200 * i0)
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]       tmp1 = ops.load(_frozen_param0, i0)
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]       tmp2 = tmp0 - tmp1
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]       tmp3 = ops.load(_frozen_param1, i0)
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]       tmp4 = tmp2 / tmp3
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]       return tmp4
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]   ,
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]   ranges=[3, 800, 1199],
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]   origin_node=div,
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG]   origins={sub, div}
[2023-11-01 20:50:29,456] [2/0] torch._inductor.scheduler: [DEBUG] ))
[2023-11-01 20:50:29,457] [2/0] torch._inductor.scheduler: [DEBUG] scheduling output buf0
[2023-11-01 20:50:29,687] [2/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf0 with estimated runtime 5947.420635
[2023-11-01 20:50:29,704] [2/0] torch._inductor.codegen.triton: [DEBUG] Generating kernel code with kernel_name: triton_poi_fused_div_sub_0
[2023-11-01 20:50:29,826] [0/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 2 configs
[2023-11-01 20:50:29,827] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:29,827] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:30,496] [2/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 2 configs
[2023-11-01 20:50:30,496] [2/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:30,496] [2/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:30,516] [2/0] torch._inductor.graph: [DEBUG] Output code written to: /tmp/tmp40bwf4th/sn/csnarziyxcootbgeshywlhzqmzfshfddzspuh6ybm76h6npnvmaf.py
[2023-11-01 20:50:30,516] [2/0] torch._inductor.compile_fx: [DEBUG] FX codegen and compilation took 1.168s
[2023-11-01 20:50:30,522] [2/0] torch._inductor.compile_fx: [INFO] Step 3: torchinductor done compiling FORWARDS graph 1
[2023-11-01 20:50:30,526] [2/0] torch._dynamo.output_graph: [INFO] Step 2: done compiler function inductor
[2023-11-01 20:50:30,532] [2/0] torch._dynamo.guards.__guards: [DEBUG] GUARDS:
[2023-11-01 20:50:30,532] [2/0] torch._dynamo.guards.__guards: [DEBUG] ___check_obj_id(L['self'], 140608108162752)                 
[2023-11-01 20:50:30,533] [2/0] torch._dynamo.guards.__guards: [DEBUG] L['self'].training == False                                 
[2023-11-01 20:50:30,534] [2/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'], 7629888)                # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:30,534] [2/0] torch._dynamo.guards.__guards: [DEBUG] len(L['batched_inputs']) == 1                                 # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:30,534] [2/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'][0], 7626144)             # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:30,535] [2/0] torch._dynamo.guards.__guards: [DEBUG] set(L['batched_inputs'][0].keys()) == {'image_id', 'file_name', 'width', 'image', 'height'}  # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:30,535] [2/0] torch._dynamo.guards.__guards: [DEBUG] hasattr(L['batched_inputs'][0]['image'], '_dynamo_dynamic_indices') == False  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:30,536] [2/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'][0]['width'], 7628128)  
[2023-11-01 20:50:30,536] [2/0] torch._dynamo.guards.__guards: [DEBUG] L['batched_inputs'][0]['width'] == 640                      
[2023-11-01 20:50:30,536] [2/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'][0]['height'], 7628128) 
[2023-11-01 20:50:30,536] [2/0] torch._dynamo.guards.__guards: [DEBUG] L['batched_inputs'][0]['height'] == 427                     
[2023-11-01 20:50:30,537] [2/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'][0]['image_id'], 7628128)
[2023-11-01 20:50:30,537] [2/0] torch._dynamo.guards.__guards: [DEBUG] L['batched_inputs'][0]['image_id'] == 1268                  
[2023-11-01 20:50:30,537] [2/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'][0]['file_name'], 7593344)
[2023-11-01 20:50:30,538] [2/0] torch._dynamo.guards.__guards: [DEBUG] L['batched_inputs'][0]['file_name'] == '/home/dberard/local/benchmark/torchbenchmark/data/.data/coco2017-minimal/coco/val2017/000000001268.jpg'
[2023-11-01 20:50:30,538] [2/0] torch._dynamo.guards.__guards: [DEBUG] utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:370 in init_ambient_guards
[2023-11-01 20:50:30,539] [2/0] torch._dynamo.guards.__guards: [DEBUG] ___skip_backend_check() or ___current_backend() == ___lookup_backend(140608569684848)  # _dynamo/output_graph.py:376 in init_ambient_guards
[2023-11-01 20:50:30,539] [2/0] torch._dynamo.guards.__guards: [DEBUG] check_tensor(L['batched_inputs'][0]['image'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA, AutocastCUDA), torch.float16, device=0, requires_grad=False, size=[3, 800, 1199], stride=[959200, 1199, 1])  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:30,547] torch._inductor.cudagraph_trees: [INFO] recording cudagraph tree for None
[2023-11-01 20:50:30,856] torch._inductor.cudagraph_trees: [DEBUG] Running warmup of function 0
[2023-11-01 20:50:30,956] torch._inductor.triton_heuristics: [DEBUG] Benchmark all input configs get:
[2023-11-01 20:50:30,956] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.014144, nreg 32, nspill 0, #shared-mem 0
[2023-11-01 20:50:30,956] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.017568, nreg 21, nspill 0, #shared-mem 0
[2023-11-01 20:50:30,957] torch._inductor.triton_heuristics: [DEBUG] Save heuristic tuning result to /tmp/tmp40bwf4th/5l/c5l3vkmfuixayhetreflktdusunotd6n2rbweuta36hmnscchf47.best_config
[2023-11-01 20:50:30,958] torch._dynamo.eval_frame: [DEBUG] skipping __getattr__ /home/dberard/local/pytorch/torch/nn/modules/module.py
[2023-11-01 20:50:30,960] [3/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing from_tensors /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:58
[2023-11-01 20:50:30,962] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:58 in from_tensors (ImageList)
[2023-11-01 20:50:30,962] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         @staticmethod
[2023-11-01 20:50:30,962] [3/0] torch._dynamo.output_graph: [DEBUG] create_graph_input L_tensors_0_ L['tensors'][0]
[2023-11-01 20:50:30,963] [3/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['tensors'][0] (3, 800, 1199) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:30,965] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:81 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:30,965] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             assert len(tensors) > 0
[2023-11-01 20:50:30,965] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len []
[2023-11-01 20:50:30,965] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(len)]
[2023-11-01 20:50:30,966] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(len), ListVariable()]
[2023-11-01 20:50:30,966] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int)]
[2023-11-01 20:50:30,966] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:30,966] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 16 [ConstantVariable(bool)]
[2023-11-01 20:50:30,967] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:82 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:30,967] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             assert isinstance(tensors, (tuple, list))
[2023-11-01 20:50:30,967] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL isinstance []
[2023-11-01 20:50:30,967] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(isinstance)]
[2023-11-01 20:50:30,967] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL tuple [BuiltinVariable(isinstance), ListVariable()]
[2023-11-01 20:50:30,967] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [BuiltinVariable(isinstance), ListVariable(), BuiltinVariable(tuple)]
[2023-11-01 20:50:30,967] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [BuiltinVariable(isinstance), ListVariable(), BuiltinVariable(tuple), BuiltinVariable(list)]
[2023-11-01 20:50:30,967] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [BuiltinVariable(isinstance), ListVariable(), TupleVariable()]
[2023-11-01 20:50:30,968] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 34 [ConstantVariable(bool)]
[2023-11-01 20:50:30,968] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:83 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:30,968] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             for t in tensors:
[2023-11-01 20:50:30,968] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors []
[2023-11-01 20:50:30,968] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [ListVariable()]
[2023-11-01 20:50:30,969] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 110 [ListIteratorVariable()]
[2023-11-01 20:50:30,969] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:30,969] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:84 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:30,969] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 assert isinstance(t, torch.Tensor), type(t)
[2023-11-01 20:50:30,969] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL isinstance [ListIteratorVariable()]
[2023-11-01 20:50:30,969] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListIteratorVariable(), BuiltinVariable(isinstance)]
[2023-11-01 20:50:30,970] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable()]
[2023-11-01 20:50:30,970] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable(), TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:30,971] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), BuiltinVariable(isinstance), TensorVariable(), TorchVariable(<class 'torch.Tensor'>)]
[2023-11-01 20:50:30,971] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 66 [ListIteratorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:30,971] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:85 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:30,971] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 assert t.shape[:-2] == tensors[0].shape[:-2], t.shape
[2023-11-01 20:50:30,971] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListIteratorVariable()]
[2023-11-01 20:50:30,971] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:30,972] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:30,972] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListIteratorVariable(), SizeVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:30,972] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ListIteratorVariable(), SizeVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
[2023-11-01 20:50:30,972] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), SliceVariable()]
[2023-11-01 20:50:30,973] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:30,973] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ListIteratorVariable(), SizeVariable(), ListVariable()]
[2023-11-01 20:50:30,973] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:30,973] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListIteratorVariable(), SizeVariable(), TensorVariable()]
[2023-11-01 20:50:30,974] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ListIteratorVariable(), SizeVariable(), SizeVariable()]
[2023-11-01 20:50:30,974] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListIteratorVariable(), SizeVariable(), SizeVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:30,974] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ListIteratorVariable(), SizeVariable(), SizeVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
[2023-11-01 20:50:30,974] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), SizeVariable(), SizeVariable(), SliceVariable()]
[2023-11-01 20:50:30,974] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ListIteratorVariable(), SizeVariable(), SizeVariable()]
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 108 [ListIteratorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 38 [ListIteratorVariable()]
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:83 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             for t in tensors:
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 110 [ListIteratorVariable()]
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:87 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes = [(im.shape[-2], im.shape[-1]) for im in tensors]
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87> []
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ImageList.from_tensors.<locals>.<listcomp> [ConstantVariable(code)]
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [NestedUserFunctionVariable()]
[2023-11-01 20:50:30,975] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:30,976] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:30,976] [3/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87>, inlined by default
[2023-11-01 20:50:30,977] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:87 in <listcomp> (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:30,977] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes = [(im.shape[-2], im.shape[-1]) for im in tensors]
[2023-11-01 20:50:30,977] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:30,977] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:30,977] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 30 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:30,977] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST im [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:30,977] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST im [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:30,977] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:30,978] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ListVariable(), ListIteratorVariable(), SizeVariable()]
[2023-11-01 20:50:30,978] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ListIteratorVariable(), SizeVariable(), ConstantVariable(int)]
[2023-11-01 20:50:30,978] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST im [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:30,978] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [ListVariable(), ListIteratorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:30,979] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ListVariable(), ListIteratorVariable(), ConstantVariable(int), SizeVariable()]
[2023-11-01 20:50:30,979] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ListIteratorVariable(), ConstantVariable(int), SizeVariable(), ConstantVariable(int)]
[2023-11-01 20:50:30,979] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ListVariable(), ListIteratorVariable(), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:30,980] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TupleVariable()]
[2023-11-01 20:50:30,980] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:30,980] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 30 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:30,980] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:30,980] [3/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e5db4c90, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 87>
[2023-11-01 20:50:30,980] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_sizes [ListVariable()]
[2023-11-01 20:50:30,980] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:88 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:30,980] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
[2023-11-01 20:50:30,980] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88> []
[2023-11-01 20:50:30,981] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ImageList.from_tensors.<locals>.<listcomp> [ConstantVariable(code)]
[2023-11-01 20:50:30,981] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
[2023-11-01 20:50:30,981] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes [NestedUserFunctionVariable()]
[2023-11-01 20:50:30,981] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), ListVariable()]
[2023-11-01 20:50:30,981] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
[2023-11-01 20:50:30,981] [3/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88>, inlined by default
[2023-11-01 20:50:30,982] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:88 in <listcomp> (ImageList.from_tensors) (inline depth: 1)
[2023-11-01 20:50:30,982] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             image_sizes_tensor = [shapes_to_tensor(x) for x in image_sizes]
[2023-11-01 20:50:30,982] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
[2023-11-01 20:50:30,982] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
[2023-11-01 20:50:30,982] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:30,982] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListVariable(), ListIteratorVariable(), TupleVariable()]
[2023-11-01 20:50:30,982] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL shapes_to_tensor [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:30,983] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListVariable(), ListIteratorVariable(), UserFunctionVariable()]
[2023-11-01 20:50:30,983] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ListVariable(), ListIteratorVariable(), UserFunctionVariable(), TupleVariable()]
[2023-11-01 20:50:30,984] [3/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object shapes_to_tensor at 0x7fe1f0d779f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 19>, inlined by default
[2023-11-01 20:50:30,984] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:19 in shapes_to_tensor (shapes_to_tensor) (inline depth: 2)
[2023-11-01 20:50:30,984] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     def shapes_to_tensor(x: List[int], device: Optional[torch.device] = None) -> torch.Tensor:
[2023-11-01 20:50:30,985] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:27 in shapes_to_tensor (shapes_to_tensor) (inline depth: 2)
[2023-11-01 20:50:30,985] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if torch.jit.is_scripting():
[2023-11-01 20:50:30,985] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:30,985] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:30,986] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:30,986] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:30,986] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 24 [ConstantVariable(bool)]
[2023-11-01 20:50:30,986] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:29 in shapes_to_tensor (shapes_to_tensor) (inline depth: 2)
[2023-11-01 20:50:30,986] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if torch.jit.is_tracing():
[2023-11-01 20:50:30,986] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:30,987] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:30,987] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_tracing [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:30,988] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_tracing at 0x7fe23c3675b0>)]
[2023-11-01 20:50:30,988] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 96 [ConstantVariable(bool)]
[2023-11-01 20:50:30,988] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:38 in shapes_to_tensor (shapes_to_tensor) (inline depth: 2)
[2023-11-01 20:50:30,988] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         return torch.as_tensor(x, device=device)
[2023-11-01 20:50:30,988] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:30,989] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:30,989] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:30,989] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST device [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable()]
[2023-11-01 20:50:30,989] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:30,989] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method as_tensor of type object at 0x7fe2ae3e5f40>), TupleVariable(), ConstantVariable(NoneType), TupleVariable()]
[2023-11-01 20:50:30,991] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:30,992] [3/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object shapes_to_tensor at 0x7fe1f0d779f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 19>
[2023-11-01 20:50:30,992] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
[2023-11-01 20:50:30,992] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:30,992] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
[2023-11-01 20:50:30,992] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
[2023-11-01 20:50:30,992] [3/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7fe1e5db4d40, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 88>
[2023-11-01 20:50:30,992] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_sizes_tensor [ListVariable()]
[2023-11-01 20:50:30,992] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:89 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:30,992] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             max_size = torch.stack(image_sizes_tensor).max(0).values
[2023-11-01 20:50:30,993] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:30,993] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:30,993] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes_tensor [TorchVariable(<built-in method stack of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:30,994] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method stack of type object at 0x7fe2ae3e5f40>), ListVariable()]
[2023-11-01 20:50:30,996] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
[2023-11-01 20:50:30,996] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), max)]
[2023-11-01 20:50:30,996] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
[2023-11-01 20:50:30,999] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR values [NamedTupleVariable()]
[2023-11-01 20:50:30,999] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_size [TensorVariable()]
[2023-11-01 20:50:30,999] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:91 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:30,999] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if padding_constraints is not None:
[2023-11-01 20:50:30,999] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints []
[2023-11-01 20:50:30,999] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstDictVariable()]
[2023-11-01 20:50:30,999] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [ConstDictVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:31,000] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 216 [ConstantVariable(bool)]
[2023-11-01 20:50:31,000] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:92 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,000] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 square_size = padding_constraints.get("square_size", 0)
[2023-11-01 20:50:31,000] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints []
[2023-11-01 20:50:31,000] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR get [ConstDictVariable()]
[2023-11-01 20:50:31,000] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST square_size [GetAttrVariable(ConstDictVariable(), get)]
[2023-11-01 20:50:31,000] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(ConstDictVariable(), get), ConstantVariable(str)]
[2023-11-01 20:50:31,000] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(ConstDictVariable(), get), ConstantVariable(str), ConstantVariable(int)]
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST square_size [ConstantVariable(int)]
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:93 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if square_size > 0:
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST square_size []
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int)]
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 200 [ConstantVariable(bool)]
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:96 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if "size_divisibility" in padding_constraints:
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST size_divisibility []
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_constraints [ConstantVariable(str)]
[2023-11-01 20:50:31,001] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CONTAINS_OP 0 [ConstantVariable(str), ConstDictVariable()]
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 216 [ConstantVariable(bool)]
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:98 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if size_divisibility > 1:
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST size_divisibility []
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int)]
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 254 [ConstantVariable(bool)]
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:99 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 stride = size_divisibility
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST size_divisibility []
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST stride [ConstantVariable(int)]
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:101 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,002] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride
[2023-11-01 20:50:31,003] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size []
[2023-11-01 20:50:31,003] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TensorVariable()]
[2023-11-01 20:50:31,003] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,003] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:31,003] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,005] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable()]
[2023-11-01 20:50:31,005] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [GetAttrVariable(TensorVariable(), div)]
[2023-11-01 20:50:31,005] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [GetAttrVariable(TensorVariable(), div), ConstantVariable(int)]
[2023-11-01 20:50:31,005] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [GetAttrVariable(TensorVariable(), div), ConstantVariable(int), ConstantVariable(str)]
[2023-11-01 20:50:31,006] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), div), ConstantVariable(int), ConstantVariable(str), TupleVariable()]
[2023-11-01 20:50:31,010] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST stride [TensorVariable()]
[2023-11-01 20:50:31,010] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,011] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_size [TensorVariable()]
[2023-11-01 20:50:31,011] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:104 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,011] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if torch.jit.is_scripting():
[2023-11-01 20:50:31,012] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:31,012] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:31,013] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:31,013] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:31,013] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 284 [ConstantVariable(bool)]
[2023-11-01 20:50:31,013] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:107 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,013] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if torch.jit.is_tracing():
[2023-11-01 20:50:31,014] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:31,014] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:31,015] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_tracing [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:31,015] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_tracing at 0x7fe23c3675b0>)]
[2023-11-01 20:50:31,015] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 298 [ConstantVariable(bool)]
[2023-11-01 20:50:31,015] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:110 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,015] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if len(tensors) == 1:
[2023-11-01 20:50:31,015] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len []
[2023-11-01 20:50:31,016] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [BuiltinVariable(len)]
[2023-11-01 20:50:31,016] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(len), ListVariable()]
[2023-11-01 20:50:31,016] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int)]
[2023-11-01 20:50:31,016] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:31,016] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 382 [ConstantVariable(bool)]
[2023-11-01 20:50:31,016] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:113 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,016] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 image_size = image_sizes[0]
[2023-11-01 20:50:31,016] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes []
[2023-11-01 20:50:31,017] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ListVariable()]
[2023-11-01 20:50:31,017] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,017] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST image_size [TupleVariable()]
[2023-11-01 20:50:31,017] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:114 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,017] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 padding_size = [0, max_size[-1] - image_size[1], 0, max_size[-2] - image_size[0]]
[2023-11-01 20:50:31,017] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 []
[2023-11-01 20:50:31,017] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size [ConstantVariable(int)]
[2023-11-01 20:50:31,017] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:31,017] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,019] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_size [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:31,019] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [ConstantVariable(int), TensorVariable(), TupleVariable()]
[2023-11-01 20:50:31,019] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,019] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,021] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:31,021] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_size [ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,021] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:31,021] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,022] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_size [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:31,023] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), TupleVariable()]
[2023-11-01 20:50:31,023] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,023] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,024] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [ConstantVariable(int), TensorVariable(), ConstantVariable(int), TensorVariable()]
[2023-11-01 20:50:31,025] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST padding_size [ListVariable()]
[2023-11-01 20:50:31,025] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:115 in from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:31,025] [3/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 batched_imgs = F.pad(tensors[0], padding_size, value=pad_value).unsqueeze_(0)
[2023-11-01 20:50:31,025] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:31,026] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pad [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:31,026] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensors [TorchVariable(<built-in function pad>)]
[2023-11-01 20:50:31,026] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in function pad>), ListVariable()]
[2023-11-01 20:50:31,026] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(<built-in function pad>), ListVariable(), ConstantVariable(int)]
[2023-11-01 20:50:31,026] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST padding_size [TorchVariable(<built-in function pad>), TensorVariable()]
[2023-11-01 20:50:31,027] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST pad_value [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable()]
[2023-11-01 20:50:31,027] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('value',) [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable(), ConstantVariable(float)]
[2023-11-01 20:50:31,027] [3/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable(), ConstantVariable(float), TupleVariable()]
[2023-11-01 20:50:31,029] [3/0] torch._dynamo.symbolic_convert: [DEBUG] break_graph_if_unsupported triggered compile
[2023-11-01 20:50:31,030] [3/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 1 nodes
[2023-11-01 20:50:31,030] [3/0] torch._dynamo.output_graph: [DEBUG] COMPILING GRAPH due to GraphCompileReason(reason='data dependent operator: aten._local_scalar_dense.default', user_stack=[<FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py, line 115 in from_tensors>], graph_break=True)
[2023-11-01 20:50:31,032] [3/0] torch._dynamo.output_graph: [DEBUG] REMOVE UNUSED GRAPHARG L['tensors'][0]
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  ===== __compiled_fn_6 =====
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  <eval_with_key>.63 class GraphModule(torch.nn.Module):
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]     def forward(self):
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:38, code: return torch.as_tensor(x, device=device)
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         as_tensor = torch.as_tensor((800, 1199), device = None)
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:89, code: max_size = torch.stack(image_sizes_tensor).max(0).values
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         stack = torch.stack([as_tensor]);  as_tensor = None
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         max_1 = stack.max(0);  stack = None
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         max_size = max_1[0];  max_1 = None
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:101, code: max_size = (max_size + (stride - 1)).div(stride, rounding_mode="floor") * stride
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         add = max_size + 31;  max_size = None
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         div = add.div(32, rounding_mode = 'floor');  add = None
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         max_size_1 = div * 32;  div = None
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:114, code: padding_size = [0, max_size[-1] - image_size[1], 0, max_size[-2] - image_size[0]]
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         getitem_2 = max_size_1[-1]
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         sub = getitem_2 - 1199;  getitem_2 = None
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         getitem_3 = max_size_1[-2];  max_size_1 = None
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         sub_1 = getitem_3 - 800;  getitem_3 = None
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         return (sub, sub_1)
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:31,033] [3/0] torch._dynamo.output_graph.__graph_code: [DEBUG] 
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG]  __compiled_fn_6 <eval_with_key>.63 opcode         name        target                                                        args               kwargs
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] -------------  ----------  ------------------------------------------------------------  -----------------  --------------------------
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  as_tensor   <built-in method as_tensor of type object at 0x7fe2ae3e5f40>  ((800, 1199),)     {'device': None}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  stack       <built-in method stack of type object at 0x7fe2ae3e5f40>      ([as_tensor],)     {}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] call_method    max_1       max                                                           (stack, 0)         {}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  max_size    <built-in function getitem>                                   (max_1, 0)         {}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  add         <built-in function add>                                       (max_size, 31)     {}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] call_method    div         div                                                           (add, 32)          {'rounding_mode': 'floor'}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  max_size_1  <built-in function mul>                                       (div, 32)          {}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  getitem_2   <built-in function getitem>                                   (max_size_1, -1)   {}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  sub         <built-in function sub>                                       (getitem_2, 1199)  {}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  getitem_3   <built-in function getitem>                                   (max_size_1, -2)   {}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  sub_1       <built-in function sub>                                       (getitem_3, 800)   {}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] output         output      output                                                        ((sub, sub_1),)    {}
[2023-11-01 20:50:31,034] [3/0] torch._dynamo.output_graph.__graph: [DEBUG] 
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] TRACED GRAPH TENSOR SIZES
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] ===== __compiled_fn_6 =====
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] as_tensor: (2,)
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] stack: (1, 2)
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] max_size: (2,)
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] add: (2,)
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] div: (2,)
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] max_size_1: (2,)
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] getitem_2: ()
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] sub: ()
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] getitem_3: ()
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] sub_1: ()
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] 
[2023-11-01 20:50:31,035] [3/0] torch._dynamo.output_graph: [INFO] Step 2: calling compiler function inductor
[2023-11-01 20:50:31,042] [3/0] torch._inductor.fx_passes.split_cat: [WARNING] example value absent for node: stack
[2023-11-01 20:50:31,182] [3/0] torch._inductor.freezing: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:31,182] [3/0] torch._inductor.freezing: [DEBUG]  ===== FROZEN GRAPH =====
[2023-11-01 20:50:31,182] [3/0] torch._inductor.freezing: [DEBUG]  <eval_with_key>.77 class <lambda>(torch.nn.Module):
[2023-11-01 20:50:31,182] [3/0] torch._inductor.freezing: [DEBUG]     def forward(self):
[2023-11-01 20:50:31,182] [3/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:114, code: padding_size = [0, max_size[-1] - image_size[1], 0, max_size[-2] - image_size[0]]
[2023-11-01 20:50:31,182] [3/0] torch._inductor.freezing: [DEBUG]         full_default: i64[] = torch.ops.aten.full.default([], 17, dtype = torch.int64, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
[2023-11-01 20:50:31,182] [3/0] torch._inductor.freezing: [DEBUG]         full_default_1: i64[] = torch.ops.aten.full.default([], 0, dtype = torch.int64, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
[2023-11-01 20:50:31,182] [3/0] torch._inductor.freezing: [DEBUG]         return (full_default, full_default_1)
[2023-11-01 20:50:31,182] [3/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:31,182] [3/0] torch._inductor.freezing: [DEBUG] 
[2023-11-01 20:50:31,183] [3/0] torch._inductor.compile_fx: [INFO] Step 3: torchinductor compiling FORWARDS graph 2
[2023-11-01 20:50:31,189] [3/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO] TRACED GRAPH
[2023-11-01 20:50:31,189] [3/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]  ===== AFTER POST GRAD =====
[2023-11-01 20:50:31,189] [3/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]  <eval_with_key>.78 class <lambda>(torch.nn.Module):
[2023-11-01 20:50:31,189] [3/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]     def forward(self):
[2023-11-01 20:50:31,189] [3/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:114, code: padding_size = [0, max_size[-1] - image_size[1], 0, max_size[-2] - image_size[0]]
[2023-11-01 20:50:31,189] [3/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         full_default: i64[] = torch.ops.aten.full.default([], 17, dtype = torch.int64, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
[2023-11-01 20:50:31,189] [3/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         full_default_1: i64[] = torch.ops.aten.full.default([], 0, dtype = torch.int64, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
[2023-11-01 20:50:31,189] [3/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         return (full_default, full_default_1)
[2023-11-01 20:50:31,189] [3/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:31,189] [3/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO] 
[2023-11-01 20:50:31,190] [3/0] torch._inductor.graph: [DEBUG] lowering %full_default : [num_users=1] = call_function[target=torch.ops.aten.full.default](args = ([], 17), kwargs = {dtype: torch.int64, layout: torch.strided, device: cpu, pin_memory: False})
[2023-11-01 20:50:31,192] [3/0] torch._inductor.graph: [DEBUG] lowering %full_default_1 : [num_users=1] = call_function[target=torch.ops.aten.full.default](args = ([], 0), kwargs = {dtype: torch.int64, layout: torch.strided, device: cpu, pin_memory: False})
[2023-11-01 20:50:31,193] [3/0] torch._inductor.graph: [DEBUG] lowering return (full_default, full_default_1)
[2023-11-01 20:50:31,194] [3/0] torch._inductor.graph: [DEBUG] Force channels last inputs for 0 conv for the current graph with id 2
[2023-11-01 20:50:31,199] [3/0] torch._inductor.scheduler: [DEBUG] scheduling ComputedBuffer(name='buf0', layout=FixedLayout('cpu', torch.int64, size=[], stride=[]), data=Pointwise(
[2023-11-01 20:50:31,199] [3/0] torch._inductor.scheduler: [DEBUG]   'cpu',
[2023-11-01 20:50:31,199] [3/0] torch._inductor.scheduler: [DEBUG]   torch.int64,
[2023-11-01 20:50:31,199] [3/0] torch._inductor.scheduler: [DEBUG]   def inner_fn(index):
[2023-11-01 20:50:31,199] [3/0] torch._inductor.scheduler: [DEBUG]       tmp0 = ops.constant(17, torch.int64)
[2023-11-01 20:50:31,199] [3/0] torch._inductor.scheduler: [DEBUG]       return tmp0
[2023-11-01 20:50:31,199] [3/0] torch._inductor.scheduler: [DEBUG]   ,
[2023-11-01 20:50:31,199] [3/0] torch._inductor.scheduler: [DEBUG]   ranges=[],
[2023-11-01 20:50:31,199] [3/0] torch._inductor.scheduler: [DEBUG]   origin_node=full_default,
[2023-11-01 20:50:31,199] [3/0] torch._inductor.scheduler: [DEBUG]   origins={full_default}
[2023-11-01 20:50:31,199] [3/0] torch._inductor.scheduler: [DEBUG] ))
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG] scheduling ComputedBuffer(name='buf1', layout=FixedLayout('cpu', torch.int64, size=[], stride=[]), data=Pointwise(
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG]   'cpu',
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG]   torch.int64,
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG]   def inner_fn(index):
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG]       tmp0 = ops.constant(0, torch.int64)
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG]       return tmp0
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG]   ,
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG]   ranges=[],
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG]   origin_node=full_default_1,
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG]   origins={full_default_1}
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG] ))
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG] scheduling output buf0
[2023-11-01 20:50:31,200] [3/0] torch._inductor.scheduler: [DEBUG] scheduling output buf1
[2023-11-01 20:50:31,201] [3/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf0 with estimated runtime 0.000000
[2023-11-01 20:50:40,067] [3/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf1 with estimated runtime 0.000000
[2023-11-01 20:50:43,200] [3/0] torch._inductor.graph: [DEBUG] Output code written to: /tmp/tmp40bwf4th/lr/clrnmtmhvso5wbchgoq3yoshbpgycrz4bqfqokn4vjmrcrsfie5a.py
[2023-11-01 20:50:43,201] [3/0] torch._inductor.compile_fx: [DEBUG] FX codegen and compilation took 12.018s
[2023-11-01 20:50:43,201] [3/0] torch._inductor.compile_fx: [INFO] Step 3: torchinductor done compiling FORWARDS graph 2
[2023-11-01 20:50:43,207] [3/0] torch._dynamo.output_graph: [INFO] Step 2: done compiler function inductor
[2023-11-01 20:50:43,222] [3/0] torch._dynamo.guards.__guards: [DEBUG] GUARDS:
[2023-11-01 20:50:43,222] [3/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['tensors'], 7629888)                       # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,223] [3/0] torch._dynamo.guards.__guards: [DEBUG] len(L['tensors']) == 1                                        # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,223] [3/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['pad_value'], 7631872)                   
[2023-11-01 20:50:43,224] [3/0] torch._dynamo.guards.__guards: [DEBUG] L['pad_value'] == 0.0                                       
[2023-11-01 20:50:43,224] [3/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['tensors'][0], 68931920)                 
[2023-11-01 20:50:43,224] [3/0] torch._dynamo.guards.__guards: [DEBUG] hasattr(L['tensors'][0], '_dynamo_dynamic_indices') == False  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:43,225] [3/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['size_divisibility'], 7628128)           
[2023-11-01 20:50:43,225] [3/0] torch._dynamo.guards.__guards: [DEBUG] L['size_divisibility'] == 32                                
[2023-11-01 20:50:43,225] [3/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['padding_constraints'], 7626144)           # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,226] [3/0] torch._dynamo.guards.__guards: [DEBUG] set(L['padding_constraints'].keys()) == {'square_size'}       # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,226] [3/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['padding_constraints']['square_size'], 7628128)
[2023-11-01 20:50:43,226] [3/0] torch._dynamo.guards.__guards: [DEBUG] L['padding_constraints']['square_size'] == 0                
[2023-11-01 20:50:43,227] [3/0] torch._dynamo.guards.__guards: [DEBUG] utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:370 in init_ambient_guards
[2023-11-01 20:50:43,227] [3/0] torch._dynamo.guards.__guards: [DEBUG] ___skip_backend_check() or ___current_backend() == ___lookup_backend(140608569684848)  # _dynamo/output_graph.py:376 in init_ambient_guards
[2023-11-01 20:50:43,228] [3/0] torch._dynamo.guards.__guards: [DEBUG] ___check_obj_id(G['shapes_to_tensor'].__defaults__[0], 7616288)
[2023-11-01 20:50:43,228] [3/0] torch._dynamo.guards.__guards: [DEBUG] check_tensor(L['tensors'][0], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA, AutocastCUDA), torch.float16, device=0, requires_grad=False, size=[3, 800, 1199], stride=[959200, 1199, 1])  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:43,238] [4/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing resume_in_from_tensors /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:115
[2023-11-01 20:50:43,239] [4/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:115 in resume_in_from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:43,239] [4/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 batched_imgs = F.pad(tensors[0], padding_size, value=pad_value).unsqueeze_(0)
[2023-11-01 20:50:43,240] [4/0] torch._dynamo.output_graph: [DEBUG] create_graph_input L_stack0_ L['___stack0']
[2023-11-01 20:50:43,240] [4/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['___stack0'] (3, 800, 1216) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:43,242] [4/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ___stack0 []
[2023-11-01 20:50:43,243] [4/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 376 [TensorVariable()]
[2023-11-01 20:50:43,243] [4/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TensorVariable()]
[2023-11-01 20:50:43,243] [4/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [DelayGraphBreakVariable()]
[2023-11-01 20:50:43,243] [4/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [DelayGraphBreakVariable(), ConstantVariable(int)]
[2023-11-01 20:50:43,244] [4/0] torch._dynamo.symbolic_convert: [DEBUG] break_graph_if_unsupported triggered compile
[2023-11-01 20:50:43,244] [4/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:43,244] [4/0] torch._dynamo.output_graph: [DEBUG] COMPILING GRAPH due to GraphCompileReason(reason='call_function DelayGraphBreakVariable() [ConstantVariable(int)] {}', user_stack=[<FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py, line 115 in resume_in_from_tensors>], graph_break=True)
[2023-11-01 20:50:43,263] [4/0] torch._dynamo.guards.__guards: [DEBUG] GUARDS:
[2023-11-01 20:50:43,264] [4/0] torch._dynamo.guards.__guards: [DEBUG] hasattr(L['___stack0'], '_dynamo_dynamic_indices') == False   # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:43,264] [4/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['image_sizes'], 7629888)                   # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,265] [4/0] torch._dynamo.guards.__guards: [DEBUG] len(L['image_sizes']) == 1                                    # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,265] [4/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['image_sizes'][0], 7605472)                # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,266] [4/0] torch._dynamo.guards.__guards: [DEBUG] len(L['image_sizes'][0]) == 2                                 # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,266] [4/0] torch._dynamo.guards.__guards: [DEBUG] utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:370 in init_ambient_guards
[2023-11-01 20:50:43,267] [4/0] torch._dynamo.guards.__guards: [DEBUG] ___skip_backend_check() or ___current_backend() == ___lookup_backend(140608569684848)  # _dynamo/output_graph.py:376 in init_ambient_guards
[2023-11-01 20:50:43,267] [4/0] torch._dynamo.guards.__guards: [DEBUG] check_tensor(L['___stack0'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA, AutocastCUDA), torch.float16, device=0, requires_grad=False, size=[3, 800, 1216], stride=[972800, 1216, 1])  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:43,273] [5/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing resume_in_from_tensors /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:115
[2023-11-01 20:50:43,275] [5/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:115 in resume_in_from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:43,275] [5/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 batched_imgs = F.pad(tensors[0], padding_size, value=pad_value).unsqueeze_(0)
[2023-11-01 20:50:43,275] [5/0] torch._dynamo.output_graph: [DEBUG] create_graph_input L_stack0_ L['___stack0']
[2023-11-01 20:50:43,276] [5/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['___stack0'] (1, 3, 800, 1216) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:43,277] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ___stack0 []
[2023-11-01 20:50:43,278] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 382 [TensorVariable()]
[2023-11-01 20:50:43,278] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST batched_imgs [TensorVariable()]
[2023-11-01 20:50:43,278] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_FORWARD 552 []
[2023-11-01 20:50:43,278] [5/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:129 in resume_in_from_tensors (ImageList.from_tensors)
[2023-11-01 20:50:43,278] [5/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return ImageList(batched_imgs.contiguous(), image_sizes)
[2023-11-01 20:50:43,278] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL ImageList []
[2023-11-01 20:50:43,279] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST batched_imgs [UserDefinedClassVariable()]
[2023-11-01 20:50:43,279] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR contiguous [UserDefinedClassVariable(), TensorVariable()]
[2023-11-01 20:50:43,280] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [UserDefinedClassVariable(), GetAttrVariable(TensorVariable(), contiguous)]
[2023-11-01 20:50:43,281] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes [UserDefinedClassVariable(), TensorVariable()]
[2023-11-01 20:50:43,281] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserDefinedClassVariable(), TensorVariable(), ListVariable()]
[2023-11-01 20:50:43,281] [5/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object __init__ at 0x7fe1e5da7100, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 23>, inlined by default
[2023-11-01 20:50:43,282] [5/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:23 in __init__ (ImageList.__init__) (inline depth: 1)
[2023-11-01 20:50:43,282] [5/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def __init__(self, tensor: torch.Tensor, image_sizes: List[Tuple[int, int]]):
[2023-11-01 20:50:43,282] [5/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:30 in __init__ (ImageList.__init__) (inline depth: 1)
[2023-11-01 20:50:43,282] [5/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             self.tensor = tensor
[2023-11-01 20:50:43,282] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tensor []
[2023-11-01 20:50:43,282] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TensorVariable()]
[2023-11-01 20:50:43,282] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_ATTR tensor [TensorVariable(), UserDefinedObjectVariable(ImageList)]
[2023-11-01 20:50:43,283] [5/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:31 in __init__ (ImageList.__init__) (inline depth: 1)
[2023-11-01 20:50:43,283] [5/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             self.image_sizes = image_sizes
[2023-11-01 20:50:43,283] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST image_sizes []
[2023-11-01 20:50:43,283] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [ListVariable()]
[2023-11-01 20:50:43,283] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_ATTR image_sizes [ListVariable(), UserDefinedObjectVariable(ImageList)]
[2023-11-01 20:50:43,283] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None []
[2023-11-01 20:50:43,283] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,283] [5/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object __init__ at 0x7fe1e5da7100, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py", line 23>
[2023-11-01 20:50:43,284] [5/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [UserDefinedObjectVariable(ImageList)]
[2023-11-01 20:50:43,284] [5/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo done tracing resume_in_from_tensors (RETURN_VALUE)
[2023-11-01 20:50:43,284] [5/0] torch._dynamo.symbolic_convert: [DEBUG] RETURN_VALUE triggered compile
[2023-11-01 20:50:43,284] [5/0] torch._dynamo.output_graph: [DEBUG] COMPILING GRAPH due to GraphCompileReason(reason='return_value', user_stack=[<FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py, line 129 in resume_in_from_tensors>], graph_break=False)
[2023-11-01 20:50:43,286] [5/0] torch._dynamo.output_graph.__graph_code: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:43,286] [5/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  ===== __compiled_fn_9 =====
[2023-11-01 20:50:43,286] [5/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  <eval_with_key>.80 class GraphModule(torch.nn.Module):
[2023-11-01 20:50:43,286] [5/0] torch._dynamo.output_graph.__graph_code: [DEBUG]     def forward(self, L_stack0_ : torch.Tensor):
[2023-11-01 20:50:43,286] [5/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         batched_imgs = L_stack0_
[2023-11-01 20:50:43,286] [5/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,286] [5/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/structures/image_list.py:129, code: return ImageList(batched_imgs.contiguous(), image_sizes)
[2023-11-01 20:50:43,286] [5/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         contiguous = batched_imgs.contiguous();  batched_imgs = None
[2023-11-01 20:50:43,286] [5/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         return (contiguous,)
[2023-11-01 20:50:43,286] [5/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,286] [5/0] torch._dynamo.output_graph.__graph_code: [DEBUG] 
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph: [DEBUG]  __compiled_fn_9 <eval_with_key>.80 opcode       name          target      args              kwargs
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph: [DEBUG] -----------  ------------  ----------  ----------------  --------
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph: [DEBUG] placeholder  batched_imgs  L_stack0_   ()                {}
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph: [DEBUG] call_method  contiguous    contiguous  (batched_imgs,)   {}
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph: [DEBUG] output       output        output      ((contiguous,),)  {}
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph: [DEBUG] 
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] TRACED GRAPH TENSOR SIZES
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] ===== __compiled_fn_9 =====
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] batched_imgs: (1, 3, 800, 1216)
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] contiguous: (1, 3, 800, 1216)
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] 
[2023-11-01 20:50:43,287] [5/0] torch._dynamo.output_graph: [INFO] Step 2: calling compiler function inductor
[2023-11-01 20:50:43,312] [5/0] torch._inductor.freezing: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:43,312] [5/0] torch._inductor.freezing: [DEBUG]  ===== FROZEN GRAPH =====
[2023-11-01 20:50:43,312] [5/0] torch._inductor.freezing: [DEBUG]  <eval_with_key>.91 class <lambda>(torch.nn.Module):
[2023-11-01 20:50:43,312] [5/0] torch._inductor.freezing: [DEBUG]     def forward(self, arg0_1: f16[1, 3, 800, 1216]):
[2023-11-01 20:50:43,312] [5/0] torch._inductor.freezing: [DEBUG]         return (arg0_1,)
[2023-11-01 20:50:43,312] [5/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:43,312] [5/0] torch._inductor.freezing: [DEBUG] 
[2023-11-01 20:50:43,317] [5/0] torch._dynamo.output_graph: [INFO] Step 2: done compiler function inductor
[2023-11-01 20:50:43,321] [5/0] torch._dynamo.guards.__guards: [DEBUG] GUARDS:
[2023-11-01 20:50:43,322] [5/0] torch._dynamo.guards.__guards: [DEBUG] hasattr(L['___stack0'], '_dynamo_dynamic_indices') == False   # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:43,322] [5/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['image_sizes'], 7629888)                   # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,323] [5/0] torch._dynamo.guards.__guards: [DEBUG] len(L['image_sizes']) == 1                                    # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,323] [5/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['image_sizes'][0], 7605472)                # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,324] [5/0] torch._dynamo.guards.__guards: [DEBUG] len(L['image_sizes'][0]) == 2                                 # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,324] [5/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['image_sizes'][0][0], 7628128)           
[2023-11-01 20:50:43,325] [5/0] torch._dynamo.guards.__guards: [DEBUG] L['image_sizes'][0][0] == 800                               
[2023-11-01 20:50:43,325] [5/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['image_sizes'][0][1], 7628128)           
[2023-11-01 20:50:43,325] [5/0] torch._dynamo.guards.__guards: [DEBUG] L['image_sizes'][0][1] == 1199                              
[2023-11-01 20:50:43,326] [5/0] torch._dynamo.guards.__guards: [DEBUG] utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:370 in init_ambient_guards
[2023-11-01 20:50:43,326] [5/0] torch._dynamo.guards.__guards: [DEBUG] ___skip_backend_check() or ___current_backend() == ___lookup_backend(140608569684848)  # _dynamo/output_graph.py:376 in init_ambient_guards
[2023-11-01 20:50:43,327] [5/0] torch._dynamo.guards.__guards: [DEBUG] check_tensor(L['___stack0'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA, AutocastCUDA), torch.float16, device=0, requires_grad=False, size=[1, 3, 800, 1216], stride=[2918400, 972800, 1216, 1])  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:43,333] [6/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing resume_in_preprocess_image /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:129
[2023-11-01 20:50:43,334] [6/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:129 in resume_in_preprocess_image (DenseDetector.preprocess_image)
[2023-11-01 20:50:43,334] [6/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = ImageList.from_tensors(
[2023-11-01 20:50:43,342] [6/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ___stack0 []
[2023-11-01 20:50:43,343] [6/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 62 [UserDefinedObjectVariable(ImageList)]
[2023-11-01 20:50:43,343] [6/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST images [UserDefinedObjectVariable(ImageList)]
[2023-11-01 20:50:43,343] [6/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:134 in resume_in_preprocess_image (DenseDetector.preprocess_image)
[2023-11-01 20:50:43,343] [6/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return images
[2023-11-01 20:50:43,343] [6/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST images []
[2023-11-01 20:50:43,343] [6/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [UserDefinedObjectVariable(ImageList)]
[2023-11-01 20:50:43,343] [6/0] torch._dynamo.convert_frame: [DEBUG] Skipping frame because no content in function call resume_in_preprocess_image                     /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py 129
[2023-11-01 20:50:43,344] torch._dynamo.eval_frame: [DEBUG] skipping __call__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/weakref.py
[2023-11-01 20:50:43,344] torch._dynamo.eval_frame: [DEBUG] skipping del_ten /home/dberard/local/pytorch/torch/_subclasses/meta_utils.py
[2023-11-01 20:50:43,344] torch._dynamo.eval_frame: [DEBUG] skipping pop /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/weakref.py
[2023-11-01 20:50:43,344] torch._dynamo.eval_frame: [DEBUG] skipping __hash__ /home/dberard/local/pytorch/torch/utils/weak.py
[2023-11-01 20:50:43,345] torch._dynamo.eval_frame: [DEBUG] skipping expired /home/dberard/local/pytorch/torch/multiprocessing/reductions.py
[2023-11-01 20:50:43,345] torch._dynamo.eval_frame: [DEBUG] skipping _expired /home/dberard/local/pytorch/torch/storage.py
[2023-11-01 20:50:43,346] [7/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing resume_in_forward /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:95
[2023-11-01 20:50:43,347] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:95 in resume_in_forward (DenseDetector.forward)
[2023-11-01 20:50:43,347] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             images = self.preprocess_image(batched_inputs)
[2023-11-01 20:50:43,348] [7/0] torch._dynamo.output_graph: [DEBUG] create_graph_input L_batched_inputs_0_image_ L['batched_inputs'][0]['image']
[2023-11-01 20:50:43,349] [7/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['batched_inputs'][0]['image'] (3, 800, 1199) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None]
[2023-11-01 20:50:43,358] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ___stack0 []
[2023-11-01 20:50:43,358] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 12 [UserDefinedObjectVariable(ImageList)]
[2023-11-01 20:50:43,358] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST images [UserDefinedObjectVariable(ImageList)]
[2023-11-01 20:50:43,358] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py:96 in resume_in_forward (DenseDetector.forward)
[2023-11-01 20:50:43,358] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             features = self.backbone(images.tensor)
[2023-11-01 20:50:43,358] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self []
[2023-11-01 20:50:43,359] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR backbone [NNModuleVariable()]
[2023-11-01 20:50:43,364] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST images [NNModuleVariable()]
[2023-11-01 20:50:43,364] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [NNModuleVariable(), UserDefinedObjectVariable(ImageList)]
[2023-11-01 20:50:43,365] [7/0] torch._dynamo.output_graph: [DEBUG] create_graph_input L_stack0_tensor L['___stack0'].tensor
[2023-11-01 20:50:43,366] [7/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['___stack0'].tensor (1, 3, 800, 1216) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:43,367] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,368] [7/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,372] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,372] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,373] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,373] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,373] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,374] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,374] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,375] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,375] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,375] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,375] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,376] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function FPN.forward at 0x7fe1e5dd6d40>, NNModuleVariable())]
[2023-11-01 20:50:43,376] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,376] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,376] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,376] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,377] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,377] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,377] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,377] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,377] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,378] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,378] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,378] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,378] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,379] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,379] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,379] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,379] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,379] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,379] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,379] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,380] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function FPN.forward at 0x7fe1e5dd6d40>, NNModuleVariable())]
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function FPN.forward at 0x7fe1e5dd6d40>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function FPN.forward at 0x7fe1e5dd6d40>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,381] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function FPN.forward at 0x7fe1e5dd6d40>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,382] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function FPN.forward at 0x7fe1e5dd6d40>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,382] [7/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1e5dda3f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 126>, inlined by default
[2023-11-01 20:50:43,383] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:126 in forward (FPN.forward) (inline depth: 2)
[2023-11-01 20:50:43,383] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,383] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:139 in forward (FPN.forward) (inline depth: 2)
[2023-11-01 20:50:43,383] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             bottom_up_features = self.bottom_up(x)
[2023-11-01 20:50:43,383] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,384] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bottom_up [NNModuleVariable()]
[2023-11-01 20:50:43,387] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:43,388] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,388] [7/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,391] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,391] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,391] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,391] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,391] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,392] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,393] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,393] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,393] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,393] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,393] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,394] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable())]
[2023-11-01 20:50:43,394] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,394] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,394] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,394] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,394] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,395] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,395] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,395] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,395] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,395] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,396] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,396] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,396] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,397] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable())]
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,398] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,399] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,399] [7/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1e5ddbc00, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 435>, inlined by default
[2023-11-01 20:50:43,400] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:435 in forward (ResNet.forward) (inline depth: 4)
[2023-11-01 20:50:43,400] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,414] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:443 in forward (ResNet.forward) (inline depth: 4)
[2023-11-01 20:50:43,414] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             assert x.dim() == 4, f"ResNet takes an input of shape (N, C, H, W). Got {x.shape} instead!"
[2023-11-01 20:50:43,414] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,414] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dim [TensorVariable()]
[2023-11-01 20:50:43,415] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), dim)]
[2023-11-01 20:50:43,415] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [ConstantVariable(int)]
[2023-11-01 20:50:43,415] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:43,415] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 30 [ConstantVariable(bool)]
[2023-11-01 20:50:43,415] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:444 in forward (ResNet.forward) (inline depth: 4)
[2023-11-01 20:50:43,415] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             outputs = {}
[2023-11-01 20:50:43,416] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 []
[2023-11-01 20:50:43,416] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST outputs [ConstDictVariable()]
[2023-11-01 20:50:43,416] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:445 in forward (ResNet.forward) (inline depth: 4)
[2023-11-01 20:50:43,416] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = self.stem(x)
[2023-11-01 20:50:43,416] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,416] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stem [NNModuleVariable()]
[2023-11-01 20:50:43,417] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:43,417] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,418] [7/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,421] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,421] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,421] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,421] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,421] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,421] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,422] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,422] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,423] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,423] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,423] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,423] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable())]
[2023-11-01 20:50:43,423] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,423] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,424] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,424] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,424] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,425] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,425] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,425] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,425] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,425] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,426] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,426] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,426] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,427] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable())]
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,428] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,429] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,429] [7/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1e5ddb730, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 355>, inlined by default
[2023-11-01 20:50:43,430] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:355 in forward (BasicStem.forward) (inline depth: 6)
[2023-11-01 20:50:43,430] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,430] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:356 in forward (BasicStem.forward) (inline depth: 6)
[2023-11-01 20:50:43,430] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = self.conv1(x)
[2023-11-01 20:50:43,430] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,430] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv1 [NNModuleVariable()]
[2023-11-01 20:50:43,430] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:43,431] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,431] [7/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,435] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,435] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,435] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,435] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,435] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,436] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,436] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,436] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,437] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,437] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,437] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,437] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:43,437] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,437] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,438] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,438] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,438] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,438] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,438] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,439] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,439] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,439] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,440] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,440] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,440] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,440] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,440] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,440] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,441] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,442] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,442] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,442] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,442] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,442] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,442] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,442] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,442] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:43,442] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,442] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,442] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,443] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,443] [7/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>, inlined by default
[2023-11-01 20:50:43,444] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:109 in forward (Conv2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,444] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,444] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:116 in forward (Conv2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,444] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not torch.jit.is_scripting():
[2023-11-01 20:50:43,444] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,445] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,445] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:43,446] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:43,446] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:43,446] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:118 in forward (Conv2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,446] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 is_dynamo_compiling = check_if_dynamo_compiling()
[2023-11-01 20:50:43,446] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL check_if_dynamo_compiling []
[2023-11-01 20:50:43,447] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [UserFunctionVariable()]
[2023-11-01 20:50:43,447] [7/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>, inlined by default
[2023-11-01 20:50:43,448] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:41 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 9)
[2023-11-01 20:50:43,448] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     def check_if_dynamo_compiling():
[2023-11-01 20:50:43,448] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:42 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 9)
[2023-11-01 20:50:43,448] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if TORCH_VERSION >= (1, 14):
[2023-11-01 20:50:43,448] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL TORCH_VERSION []
[2023-11-01 20:50:43,448] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 14) [TupleVariable()]
[2023-11-01 20:50:43,448] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP >= [TupleVariable(), TupleVariable()]
[2023-11-01 20:50:43,448] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 26 [ConstantVariable(bool)]
[2023-11-01 20:50:43,449] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:43 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 9)
[2023-11-01 20:50:43,449] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             from torch._dynamo import is_compiling
[2023-11-01 20:50:43,449] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 []
[2023-11-01 20:50:43,449] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('is_compiling',) [ConstantVariable(int)]
[2023-11-01 20:50:43,449] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_NAME torch._dynamo [ConstantVariable(int), TupleVariable()]
[2023-11-01 20:50:43,449] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_FROM is_compiling [PythonModuleVariable()]
[2023-11-01 20:50:43,450] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_compiling [PythonModuleVariable(), TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:43,450] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [PythonModuleVariable()]
[2023-11-01 20:50:43,450] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:45 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 9)
[2023-11-01 20:50:43,450] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return is_compiling()
[2023-11-01 20:50:43,450] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_compiling []
[2023-11-01 20:50:43,450] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:43,451] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(bool)]
[2023-11-01 20:50:43,451] [7/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>
[2023-11-01 20:50:43,451] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_dynamo_compiling [ConstantVariable(bool)]
[2023-11-01 20:50:43,451] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:119 in forward (Conv2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,451] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if not is_dynamo_compiling:
[2023-11-01 20:50:43,451] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_dynamo_compiling []
[2023-11-01 20:50:43,451] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:43,451] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,451] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:43,451] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,452] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2d [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,452] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128 in forward (Conv2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,452] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:43,452] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:43,452] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:43,452] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,454] [7/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].backbone.bottom_up.stem.conv1.weight (64, 3, 7, 7) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:43,455] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,455] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,455] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:43,456] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stride [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), NNModuleVariable()]
[2023-11-01 20:50:43,456] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable()]
[2023-11-01 20:50:43,456] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR padding [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,457] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:43,457] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dilation [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,458] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:43,458] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR groups [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,458] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,458] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:43,458] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:43,463] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,463] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:130 in forward (Conv2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,463] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.norm is not None:
[2023-11-01 20:50:43,463] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,463] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:43,464] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [NNModuleVariable()]
[2023-11-01 20:50:43,464] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [NNModuleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:43,464] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 160 [ConstantVariable(bool)]
[2023-11-01 20:50:43,464] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:131 in forward (Conv2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,464] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x = self.norm(x)
[2023-11-01 20:50:43,464] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,464] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:43,465] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:43,465] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,466] [7/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,470] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,470] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,470] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,470] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,470] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,471] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,471] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,472] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,472] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,472] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,472] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,473] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:43,473] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,473] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,473] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,473] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,473] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,474] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,474] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,474] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,475] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,475] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,475] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,475] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,475] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,476] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,476] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,476] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,476] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,476] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,476] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,476] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,477] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,478] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 9)
[2023-11-01 20:50:43,478] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,478] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,478] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:43,478] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,478] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,478] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,479] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,479] [7/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>, inlined by default
[2023-11-01 20:50:43,480] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:45 in forward (FrozenBatchNorm2d.forward) (inline depth: 10)
[2023-11-01 20:50:43,480] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,489] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:46 in forward (FrozenBatchNorm2d.forward) (inline depth: 10)
[2023-11-01 20:50:43,489] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if x.requires_grad:
[2023-11-01 20:50:43,489] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,489] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR requires_grad [TensorVariable()]
[2023-11-01 20:50:43,490] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:43,490] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 10)
[2023-11-01 20:50:43,490] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:43,490] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,491] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR batch_norm [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,491] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:59 in forward (FrozenBatchNorm2d.forward) (inline depth: 10)
[2023-11-01 20:50:43,491] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     x,
[2023-11-01 20:50:43,491] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>)]
[2023-11-01 20:50:43,491] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60 in forward (FrozenBatchNorm2d.forward) (inline depth: 10)
[2023-11-01 20:50:43,491] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_mean,
[2023-11-01 20:50:43,491] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable()]
[2023-11-01 20:50:43,492] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_mean [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,493] [7/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].backbone.bottom_up.stem.conv1.norm.running_mean (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,494] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61 in forward (FrozenBatchNorm2d.forward) (inline depth: 10)
[2023-11-01 20:50:43,494] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_var,
[2023-11-01 20:50:43,494] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,494] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_var [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,495] [7/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].backbone.bottom_up.stem.conv1.norm.running_var (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,496] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62 in forward (FrozenBatchNorm2d.forward) (inline depth: 10)
[2023-11-01 20:50:43,496] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.weight,
[2023-11-01 20:50:43,496] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,496] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,497] [7/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].backbone.bottom_up.stem.conv1.norm.weight (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,497] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63 in forward (FrozenBatchNorm2d.forward) (inline depth: 10)
[2023-11-01 20:50:43,497] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.bias,
[2023-11-01 20:50:43,498] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,498] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,498] [7/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].backbone.bottom_up.stem.conv1.norm.bias (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,499] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:64 in forward (FrozenBatchNorm2d.forward) (inline depth: 10)
[2023-11-01 20:50:43,499] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     training=False,
[2023-11-01 20:50:43,499] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,499] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:65 in forward (FrozenBatchNorm2d.forward) (inline depth: 10)
[2023-11-01 20:50:43,499] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     eps=self.eps,
[2023-11-01 20:50:43,500] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:43,500] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eps [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), NNModuleVariable()]
[2023-11-01 20:50:43,500] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 10)
[2023-11-01 20:50:43,500] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:43,500] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('training', 'eps') [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float)]
[2023-11-01 20:50:43,500] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 7 [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float), TupleVariable()]
[2023-11-01 20:50:43,522] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,522] [7/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>
[2023-11-01 20:50:43,522] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,523] [7/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,523] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,523] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:132 in forward (Conv2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,523] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.activation is not None:
[2023-11-01 20:50:43,523] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,523] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR activation [NNModuleVariable()]
[2023-11-01 20:50:43,524] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,524] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [ConstantVariable(NoneType), ConstantVariable(NoneType)]
[2023-11-01 20:50:43,524] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 180 [ConstantVariable(bool)]
[2023-11-01 20:50:43,524] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:134 in forward (Conv2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,524] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return x
[2023-11-01 20:50:43,524] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,524] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,524] [7/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>
[2023-11-01 20:50:43,525] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,525] [7/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,525] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,525] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:357 in forward (BasicStem.forward) (inline depth: 6)
[2023-11-01 20:50:43,525] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.relu_(x)
[2023-11-01 20:50:43,525] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,526] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,526] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:43,526] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:43,528] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,528] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:358 in forward (BasicStem.forward) (inline depth: 6)
[2023-11-01 20:50:43,528] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
[2023-11-01 20:50:43,528] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,529] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,529] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>)]
[2023-11-01 20:50:43,529] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable()]
[2023-11-01 20:50:43,530] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:43,530] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:43,530] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('kernel_size', 'stride', 'padding') [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:43,530] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TupleVariable()]
[2023-11-01 20:50:43,532] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,532] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:359 in forward (BasicStem.forward) (inline depth: 6)
[2023-11-01 20:50:43,532] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return x
[2023-11-01 20:50:43,533] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,533] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,533] [7/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1e5ddb730, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 355>
[2023-11-01 20:50:43,533] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,533] [7/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,533] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,533] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:446 in forward (ResNet.forward) (inline depth: 4)
[2023-11-01 20:50:43,533] [7/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if "stem" in self._out_features:
[2023-11-01 20:50:43,533] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST stem []
[2023-11-01 20:50:43,534] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [ConstantVariable(str)]
[2023-11-01 20:50:43,534] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _out_features [ConstantVariable(str), NNModuleVariable()]
[2023-11-01 20:50:43,535] [7/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CONTAINS_OP 0 [ConstantVariable(str), UserDefinedObjectVariable(ListConfig)]
[2023-11-01 20:50:43,536] [7/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:43,536] [7/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:43,536] [7/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object forward at 0x7fe1e5ddbc00, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 435>
[2023-11-01 20:50:43,536] [7/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 9 nodes
[2023-11-01 20:50:43,537] [7/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:43,537] [7/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,537] [7/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:43,537] [7/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:43,537] [7/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object forward at 0x7fe1e5dda3f0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 126>
[2023-11-01 20:50:43,537] [7/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:43,537] [7/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:43,537] [7/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert: [DEBUG] break_graph_if_unsupported triggered compile
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG] Graph break: 'inline in skipfiles: ListConfig.__contains__ | __contains__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/listconfig.py, skipped according skipfiles.SKIP_DIRS' from user code at:
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]   File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py", line 96, in resume_in_forward
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]     features = self.backbone(images.tensor)
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]   File "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1528, in _call_impl
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]     return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]   File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py", line 139, in forward
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]     bottom_up_features = self.bottom_up(x)
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]   File "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1528, in _call_impl
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]     return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]   File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 446, in forward
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG]     if "stem" in self._out_features:
[2023-11-01 20:50:43,538] [7/0] torch._dynamo.symbolic_convert.__graph_breaks: [DEBUG] 
[2023-11-01 20:50:43,539] [7/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:43,540] [7/0] torch._dynamo.output_graph: [DEBUG] COMPILING GRAPH due to GraphCompileReason(reason="'inline in skipfiles: ListConfig.__contains__ | __contains__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/listconfig.py, skipped according skipfiles.SKIP_DIRS'", user_stack=[<FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/meta_arch/dense_detector.py, line 96 in resume_in_forward>, <FrameSummary file /home/dberard/local/pytorch/torch/nn/modules/module.py, line 1528 in _call_impl>, <FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py, line 139 in forward>, <FrameSummary file /home/dberard/local/pytorch/torch/nn/modules/module.py, line 1528 in _call_impl>, <FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py, line 446 in forward>], graph_break=True)
[2023-11-01 20:50:43,552] [7/0] torch._dynamo.guards.__guards: [DEBUG] GUARDS:
[2023-11-01 20:50:43,552] [7/0] torch._dynamo.guards.__guards: [DEBUG] ___check_obj_id(L['self'], 140608108162752)                 
[2023-11-01 20:50:43,552] [7/0] torch._dynamo.guards.__guards: [DEBUG] L['self'].training == False                                 
[2023-11-01 20:50:43,552] [7/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['___stack0'], 409449072)                 
[2023-11-01 20:50:43,553] [7/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'], 7629888)                # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,553] [7/0] torch._dynamo.guards.__guards: [DEBUG] len(L['batched_inputs']) == 1                                 # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,554] [7/0] torch._dynamo.guards.__guards: [DEBUG] hasattr(L['___stack0'].tensor, '_dynamo_dynamic_indices') == False
[2023-11-01 20:50:43,554] [7/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(L['batched_inputs'][0], 7626144)             # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,555] [7/0] torch._dynamo.guards.__guards: [DEBUG] set(L['batched_inputs'][0].keys()) == {'image_id', 'file_name', 'width', 'image', 'height'}  # _dynamo/symbolic_convert.py:2115 in init_local_index_guards_hack
[2023-11-01 20:50:43,555] [7/0] torch._dynamo.guards.__guards: [DEBUG] hasattr(L['batched_inputs'][0]['image'], '_dynamo_dynamic_indices') == False  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:43,555] [7/0] torch._dynamo.guards.__guards: [DEBUG] utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:370 in init_ambient_guards
[2023-11-01 20:50:43,556] [7/0] torch._dynamo.guards.__guards: [DEBUG] ___skip_backend_check() or ___current_backend() == ___lookup_backend(140608569684848)  # _dynamo/output_graph.py:376 in init_ambient_guards
[2023-11-01 20:50:43,556] [7/0] torch._dynamo.guards.__guards: [DEBUG] check_tensor(L['___stack0'].tensor, Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA, AutocastCUDA), torch.float16, device=0, requires_grad=False, size=[1, 3, 800, 1216], stride=[2918400, 972800, 1216, 1])
[2023-11-01 20:50:43,557] [7/0] torch._dynamo.guards.__guards: [DEBUG] check_tensor(L['batched_inputs'][0]['image'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA, AutocastCUDA), torch.float16, device=0, requires_grad=False, size=[3, 800, 1199], stride=[959200, 1199, 1])  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:43,564] [8/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing forward /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:126
[2023-11-01 20:50:43,564] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:126 in forward (FPN.forward)
[2023-11-01 20:50:43,564] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,569] [8/0] torch._dynamo.output_graph: [DEBUG] create_graph_input L_x_ L['x']
[2023-11-01 20:50:43,570] [8/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['x'] (1, 3, 800, 1216) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:43,571] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py:139 in forward (FPN.forward)
[2023-11-01 20:50:43,571] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             bottom_up_features = self.bottom_up(x)
[2023-11-01 20:50:43,571] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,571] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bottom_up [NNModuleVariable()]
[2023-11-01 20:50:43,575] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:43,575] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,576] [8/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,579] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,579] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,579] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,579] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,579] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,580] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,580] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,580] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,581] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,581] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,581] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,581] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable())]
[2023-11-01 20:50:43,581] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,581] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,581] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,582] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,582] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,582] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,582] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,583] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,583] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,583] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,583] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,584] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,584] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,584] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,584] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,584] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,584] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,585] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable())]
[2023-11-01 20:50:43,586] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,587] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,587] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,587] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function ResNet.forward at 0x7fe1e5dd6830>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,587] [8/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1e5ddbc00, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 435>, inlined by default
[2023-11-01 20:50:43,588] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:435 in forward (ResNet.forward) (inline depth: 2)
[2023-11-01 20:50:43,588] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,588] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:443 in forward (ResNet.forward) (inline depth: 2)
[2023-11-01 20:50:43,588] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             assert x.dim() == 4, f"ResNet takes an input of shape (N, C, H, W). Got {x.shape} instead!"
[2023-11-01 20:50:43,588] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,588] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dim [TensorVariable()]
[2023-11-01 20:50:43,589] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), dim)]
[2023-11-01 20:50:43,589] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [ConstantVariable(int)]
[2023-11-01 20:50:43,589] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:43,589] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 30 [ConstantVariable(bool)]
[2023-11-01 20:50:43,589] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:444 in forward (ResNet.forward) (inline depth: 2)
[2023-11-01 20:50:43,589] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             outputs = {}
[2023-11-01 20:50:43,589] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 []
[2023-11-01 20:50:43,589] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST outputs [ConstDictVariable()]
[2023-11-01 20:50:43,589] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:445 in forward (ResNet.forward) (inline depth: 2)
[2023-11-01 20:50:43,589] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = self.stem(x)
[2023-11-01 20:50:43,590] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,590] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stem [NNModuleVariable()]
[2023-11-01 20:50:43,590] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:43,590] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,592] [8/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,595] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,595] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,595] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,595] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,595] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,595] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,596] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,596] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,596] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,596] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,596] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,597] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable())]
[2023-11-01 20:50:43,597] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,597] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,597] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,597] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,598] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,598] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,598] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,598] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,598] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,598] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,599] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,599] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,599] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,599] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,600] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,601] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,601] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,601] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,601] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,601] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,601] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,601] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,601] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable())]
[2023-11-01 20:50:43,601] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,601] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,601] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,602] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,602] [8/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1e5ddb730, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 355>, inlined by default
[2023-11-01 20:50:43,602] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:355 in forward (BasicStem.forward) (inline depth: 4)
[2023-11-01 20:50:43,602] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,602] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:356 in forward (BasicStem.forward) (inline depth: 4)
[2023-11-01 20:50:43,602] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = self.conv1(x)
[2023-11-01 20:50:43,603] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,603] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv1 [NNModuleVariable()]
[2023-11-01 20:50:43,603] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:43,603] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,604] [8/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,607] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,607] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,607] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,607] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,607] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,608] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,608] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,608] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,608] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,609] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,609] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,609] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:43,609] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,609] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,609] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,609] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,610] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,610] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,610] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,611] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,611] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,611] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,611] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,611] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,611] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,612] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,612] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,612] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,612] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,612] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,612] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,612] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,612] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,612] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,612] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:43,613] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,614] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,614] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,614] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,614] [8/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>, inlined by default
[2023-11-01 20:50:43,615] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:109 in forward (Conv2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,615] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,615] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:116 in forward (Conv2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,615] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not torch.jit.is_scripting():
[2023-11-01 20:50:43,615] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,616] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,616] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:43,616] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:43,617] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:43,617] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:118 in forward (Conv2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,617] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 is_dynamo_compiling = check_if_dynamo_compiling()
[2023-11-01 20:50:43,617] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL check_if_dynamo_compiling []
[2023-11-01 20:50:43,617] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [UserFunctionVariable()]
[2023-11-01 20:50:43,618] [8/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>, inlined by default
[2023-11-01 20:50:43,618] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:41 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 7)
[2023-11-01 20:50:43,618] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     def check_if_dynamo_compiling():
[2023-11-01 20:50:43,618] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:42 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 7)
[2023-11-01 20:50:43,618] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if TORCH_VERSION >= (1, 14):
[2023-11-01 20:50:43,618] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL TORCH_VERSION []
[2023-11-01 20:50:43,619] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 14) [TupleVariable()]
[2023-11-01 20:50:43,619] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP >= [TupleVariable(), TupleVariable()]
[2023-11-01 20:50:43,619] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 26 [ConstantVariable(bool)]
[2023-11-01 20:50:43,619] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:43 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 7)
[2023-11-01 20:50:43,619] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             from torch._dynamo import is_compiling
[2023-11-01 20:50:43,619] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 []
[2023-11-01 20:50:43,619] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('is_compiling',) [ConstantVariable(int)]
[2023-11-01 20:50:43,619] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_NAME torch._dynamo [ConstantVariable(int), TupleVariable()]
[2023-11-01 20:50:43,619] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_FROM is_compiling [PythonModuleVariable()]
[2023-11-01 20:50:43,620] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_compiling [PythonModuleVariable(), TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:43,620] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [PythonModuleVariable()]
[2023-11-01 20:50:43,620] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:45 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 7)
[2023-11-01 20:50:43,620] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return is_compiling()
[2023-11-01 20:50:43,620] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_compiling []
[2023-11-01 20:50:43,621] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:43,621] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(bool)]
[2023-11-01 20:50:43,621] [8/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>
[2023-11-01 20:50:43,621] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_dynamo_compiling [ConstantVariable(bool)]
[2023-11-01 20:50:43,621] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:119 in forward (Conv2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,621] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if not is_dynamo_compiling:
[2023-11-01 20:50:43,621] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_dynamo_compiling []
[2023-11-01 20:50:43,621] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:43,621] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,621] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:43,621] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,622] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2d [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,622] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128 in forward (Conv2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,622] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:43,622] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:43,622] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:43,622] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,623] [8/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].bottom_up.stem.conv1.weight (64, 3, 7, 7) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:43,625] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,625] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,625] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:43,625] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stride [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), NNModuleVariable()]
[2023-11-01 20:50:43,626] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable()]
[2023-11-01 20:50:43,626] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR padding [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,627] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:43,627] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dilation [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,627] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:43,627] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR groups [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,628] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,628] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:43,628] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:43,631] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,631] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:130 in forward (Conv2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,631] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.norm is not None:
[2023-11-01 20:50:43,631] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,631] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:43,631] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [NNModuleVariable()]
[2023-11-01 20:50:43,631] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [NNModuleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:43,632] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 160 [ConstantVariable(bool)]
[2023-11-01 20:50:43,632] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:131 in forward (Conv2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,632] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x = self.norm(x)
[2023-11-01 20:50:43,632] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,632] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:43,632] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:43,632] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,633] [8/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,636] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,636] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,636] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,636] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,636] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,636] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,637] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,637] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,637] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,637] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,638] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,638] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:43,638] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,638] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,638] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,638] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,639] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,639] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,639] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,639] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,639] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,640] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,640] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,640] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,640] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,641] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 7)
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,642] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,643] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,643] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,644] [8/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>, inlined by default
[2023-11-01 20:50:43,644] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:45 in forward (FrozenBatchNorm2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,644] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,644] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:46 in forward (FrozenBatchNorm2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,644] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if x.requires_grad:
[2023-11-01 20:50:43,645] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,645] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR requires_grad [TensorVariable()]
[2023-11-01 20:50:43,645] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:43,645] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,645] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:43,645] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,646] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR batch_norm [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,646] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:59 in forward (FrozenBatchNorm2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,646] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     x,
[2023-11-01 20:50:43,646] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>)]
[2023-11-01 20:50:43,646] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60 in forward (FrozenBatchNorm2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,646] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_mean,
[2023-11-01 20:50:43,646] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable()]
[2023-11-01 20:50:43,646] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_mean [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,647] [8/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].bottom_up.stem.conv1.norm.running_mean (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,649] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61 in forward (FrozenBatchNorm2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,649] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_var,
[2023-11-01 20:50:43,649] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,649] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_var [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,650] [8/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].bottom_up.stem.conv1.norm.running_var (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,650] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62 in forward (FrozenBatchNorm2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,650] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.weight,
[2023-11-01 20:50:43,650] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,651] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,651] [8/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].bottom_up.stem.conv1.norm.weight (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,652] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63 in forward (FrozenBatchNorm2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,652] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.bias,
[2023-11-01 20:50:43,652] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,652] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,653] [8/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].bottom_up.stem.conv1.norm.bias (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,654] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:64 in forward (FrozenBatchNorm2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,654] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     training=False,
[2023-11-01 20:50:43,654] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,654] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:65 in forward (FrozenBatchNorm2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,654] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     eps=self.eps,
[2023-11-01 20:50:43,654] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:43,654] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eps [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), NNModuleVariable()]
[2023-11-01 20:50:43,654] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 8)
[2023-11-01 20:50:43,654] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:43,655] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('training', 'eps') [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float)]
[2023-11-01 20:50:43,655] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 7 [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float), TupleVariable()]
[2023-11-01 20:50:43,672] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,672] [8/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>
[2023-11-01 20:50:43,673] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,673] [8/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,673] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,673] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:132 in forward (Conv2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,673] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.activation is not None:
[2023-11-01 20:50:43,673] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,673] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR activation [NNModuleVariable()]
[2023-11-01 20:50:43,674] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,674] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [ConstantVariable(NoneType), ConstantVariable(NoneType)]
[2023-11-01 20:50:43,674] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 180 [ConstantVariable(bool)]
[2023-11-01 20:50:43,674] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:134 in forward (Conv2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,674] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return x
[2023-11-01 20:50:43,674] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,674] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,674] [8/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>
[2023-11-01 20:50:43,674] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,675] [8/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,675] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,675] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:357 in forward (BasicStem.forward) (inline depth: 4)
[2023-11-01 20:50:43,675] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.relu_(x)
[2023-11-01 20:50:43,675] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,676] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,676] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:43,676] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:43,678] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,678] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:358 in forward (BasicStem.forward) (inline depth: 4)
[2023-11-01 20:50:43,678] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
[2023-11-01 20:50:43,678] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,678] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,679] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>)]
[2023-11-01 20:50:43,679] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable()]
[2023-11-01 20:50:43,679] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:43,679] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:43,679] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('kernel_size', 'stride', 'padding') [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:43,679] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TupleVariable()]
[2023-11-01 20:50:43,681] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,681] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:359 in forward (BasicStem.forward) (inline depth: 4)
[2023-11-01 20:50:43,681] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return x
[2023-11-01 20:50:43,681] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,681] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,681] [8/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1e5ddb730, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 355>
[2023-11-01 20:50:43,682] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,682] [8/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,682] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,682] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:446 in forward (ResNet.forward) (inline depth: 2)
[2023-11-01 20:50:43,682] [8/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if "stem" in self._out_features:
[2023-11-01 20:50:43,682] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST stem []
[2023-11-01 20:50:43,682] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [ConstantVariable(str)]
[2023-11-01 20:50:43,682] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _out_features [ConstantVariable(str), NNModuleVariable()]
[2023-11-01 20:50:43,683] [8/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CONTAINS_OP 0 [ConstantVariable(str), UserDefinedObjectVariable(ListConfig)]
[2023-11-01 20:50:43,684] [8/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:43,684] [8/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:43,684] [8/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object forward at 0x7fe1e5ddbc00, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 435>
[2023-11-01 20:50:43,684] [8/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 9 nodes
[2023-11-01 20:50:43,685] [8/0] torch._dynamo.symbolic_convert: [DEBUG] empty checkpoint
[2023-11-01 20:50:43,685] [8/0] torch._dynamo.symbolic_convert: [DEBUG] FAILED INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,685] [8/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:43,685] [8/0] torch._dynamo.symbolic_convert: [DEBUG] break_graph_if_unsupported triggered compile
[2023-11-01 20:50:43,686] [8/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:43,686] [8/0] torch._dynamo.output_graph: [DEBUG] COMPILING GRAPH due to GraphCompileReason(reason="'inline in skipfiles: ListConfig.__contains__ | __contains__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/listconfig.py, skipped according skipfiles.SKIP_DIRS'", user_stack=[<FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/fpn.py, line 139 in forward>, <FrameSummary file /home/dberard/local/pytorch/torch/nn/modules/module.py, line 1528 in _call_impl>, <FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py, line 446 in forward>], graph_break=True)
[2023-11-01 20:50:43,695] [8/0] torch._dynamo.guards.__guards: [DEBUG] GUARDS:
[2023-11-01 20:50:43,695] [8/0] torch._dynamo.guards.__guards: [DEBUG] hasattr(L['x'], '_dynamo_dynamic_indices') == False           # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:43,696] [8/0] torch._dynamo.guards.__guards: [DEBUG] ___check_obj_id(L['self'], 140608108166592)                 
[2023-11-01 20:50:43,696] [8/0] torch._dynamo.guards.__guards: [DEBUG] L['self'].training == False                                 
[2023-11-01 20:50:43,696] [8/0] torch._dynamo.guards.__guards: [DEBUG] utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:370 in init_ambient_guards
[2023-11-01 20:50:43,697] [8/0] torch._dynamo.guards.__guards: [DEBUG] ___skip_backend_check() or ___current_backend() == ___lookup_backend(140608569684848)  # _dynamo/output_graph.py:376 in init_ambient_guards
[2023-11-01 20:50:43,697] [8/0] torch._dynamo.guards.__guards: [DEBUG] check_tensor(L['x'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA, AutocastCUDA), torch.float16, device=0, requires_grad=False, size=[1, 3, 800, 1216], stride=[2918400, 972800, 1216, 1])  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:43,701] [9/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing forward /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:435
[2023-11-01 20:50:43,702] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:435 in forward (ResNet.forward)
[2023-11-01 20:50:43,702] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,706] [9/0] torch._dynamo.output_graph: [DEBUG] create_graph_input L_x_ L['x']
[2023-11-01 20:50:43,706] [9/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['x'] (1, 3, 800, 1216) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:43,707] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:443 in forward (ResNet.forward)
[2023-11-01 20:50:43,707] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             assert x.dim() == 4, f"ResNet takes an input of shape (N, C, H, W). Got {x.shape} instead!"
[2023-11-01 20:50:43,708] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,708] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dim [TensorVariable()]
[2023-11-01 20:50:43,708] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), dim)]
[2023-11-01 20:50:43,708] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [ConstantVariable(int)]
[2023-11-01 20:50:43,709] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:43,709] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 30 [ConstantVariable(bool)]
[2023-11-01 20:50:43,709] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:444 in forward (ResNet.forward)
[2023-11-01 20:50:43,709] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             outputs = {}
[2023-11-01 20:50:43,709] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 []
[2023-11-01 20:50:43,709] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST outputs [ConstDictVariable()]
[2023-11-01 20:50:43,709] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:445 in forward (ResNet.forward)
[2023-11-01 20:50:43,709] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = self.stem(x)
[2023-11-01 20:50:43,709] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,709] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stem [NNModuleVariable()]
[2023-11-01 20:50:43,710] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:43,710] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,711] [9/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,714] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,714] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,714] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,714] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,714] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,714] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,715] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,715] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,715] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,716] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,716] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,716] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable())]
[2023-11-01 20:50:43,716] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,716] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,716] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,716] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,717] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,717] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,717] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,717] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,717] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,718] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,718] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,718] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,718] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,719] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,719] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,719] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,719] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,719] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,719] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,719] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,719] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,719] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,719] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,720] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,721] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,721] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:43,721] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,721] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,721] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable())]
[2023-11-01 20:50:43,721] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,721] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,721] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,721] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function BasicStem.forward at 0x7fe1e5dd6710>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,722] [9/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1e5ddb730, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 355>, inlined by default
[2023-11-01 20:50:43,722] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:355 in forward (BasicStem.forward) (inline depth: 2)
[2023-11-01 20:50:43,722] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,722] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:356 in forward (BasicStem.forward) (inline depth: 2)
[2023-11-01 20:50:43,722] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = self.conv1(x)
[2023-11-01 20:50:43,722] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,722] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv1 [NNModuleVariable()]
[2023-11-01 20:50:43,723] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:43,723] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,723] [9/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,726] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,726] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,726] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,726] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,726] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,727] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,727] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,727] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,728] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,728] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,728] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,728] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:43,728] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,728] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,728] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,728] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,729] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,729] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,729] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,730] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,730] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,730] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,730] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,730] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,730] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,731] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,731] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,731] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,731] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,731] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,731] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,731] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,731] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,731] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:43,732] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,733] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,733] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,733] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,733] [9/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>, inlined by default
[2023-11-01 20:50:43,734] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:109 in forward (Conv2d.forward) (inline depth: 4)
[2023-11-01 20:50:43,734] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,734] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:116 in forward (Conv2d.forward) (inline depth: 4)
[2023-11-01 20:50:43,734] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not torch.jit.is_scripting():
[2023-11-01 20:50:43,734] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,735] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,735] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:43,736] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:43,736] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:43,736] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:118 in forward (Conv2d.forward) (inline depth: 4)
[2023-11-01 20:50:43,736] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 is_dynamo_compiling = check_if_dynamo_compiling()
[2023-11-01 20:50:43,736] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL check_if_dynamo_compiling []
[2023-11-01 20:50:43,737] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [UserFunctionVariable()]
[2023-11-01 20:50:43,737] [9/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>, inlined by default
[2023-11-01 20:50:43,737] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:41 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 5)
[2023-11-01 20:50:43,737] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     def check_if_dynamo_compiling():
[2023-11-01 20:50:43,737] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:42 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 5)
[2023-11-01 20:50:43,737] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if TORCH_VERSION >= (1, 14):
[2023-11-01 20:50:43,738] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL TORCH_VERSION []
[2023-11-01 20:50:43,738] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 14) [TupleVariable()]
[2023-11-01 20:50:43,738] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP >= [TupleVariable(), TupleVariable()]
[2023-11-01 20:50:43,738] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 26 [ConstantVariable(bool)]
[2023-11-01 20:50:43,738] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:43 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 5)
[2023-11-01 20:50:43,738] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             from torch._dynamo import is_compiling
[2023-11-01 20:50:43,738] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 []
[2023-11-01 20:50:43,739] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('is_compiling',) [ConstantVariable(int)]
[2023-11-01 20:50:43,739] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_NAME torch._dynamo [ConstantVariable(int), TupleVariable()]
[2023-11-01 20:50:43,739] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_FROM is_compiling [PythonModuleVariable()]
[2023-11-01 20:50:43,740] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_compiling [PythonModuleVariable(), TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:43,740] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [PythonModuleVariable()]
[2023-11-01 20:50:43,740] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:45 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 5)
[2023-11-01 20:50:43,740] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return is_compiling()
[2023-11-01 20:50:43,740] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_compiling []
[2023-11-01 20:50:43,740] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:43,740] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(bool)]
[2023-11-01 20:50:43,740] [9/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>
[2023-11-01 20:50:43,740] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_dynamo_compiling [ConstantVariable(bool)]
[2023-11-01 20:50:43,740] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:119 in forward (Conv2d.forward) (inline depth: 4)
[2023-11-01 20:50:43,740] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if not is_dynamo_compiling:
[2023-11-01 20:50:43,741] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_dynamo_compiling []
[2023-11-01 20:50:43,741] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:43,741] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 4)
[2023-11-01 20:50:43,741] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:43,741] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,741] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2d [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,741] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128 in forward (Conv2d.forward) (inline depth: 4)
[2023-11-01 20:50:43,741] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:43,742] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:43,742] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:43,742] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,742] [9/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].stem.conv1.weight (64, 3, 7, 7) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:43,743] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,744] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,744] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:43,744] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stride [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), NNModuleVariable()]
[2023-11-01 20:50:43,745] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable()]
[2023-11-01 20:50:43,745] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR padding [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,746] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:43,746] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dilation [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,746] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:43,746] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR groups [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,747] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 4)
[2023-11-01 20:50:43,747] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:43,747] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:43,749] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,750] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:130 in forward (Conv2d.forward) (inline depth: 4)
[2023-11-01 20:50:43,750] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.norm is not None:
[2023-11-01 20:50:43,750] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,750] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:43,750] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [NNModuleVariable()]
[2023-11-01 20:50:43,750] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [NNModuleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:43,751] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 160 [ConstantVariable(bool)]
[2023-11-01 20:50:43,751] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:131 in forward (Conv2d.forward) (inline depth: 4)
[2023-11-01 20:50:43,751] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x = self.norm(x)
[2023-11-01 20:50:43,751] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,751] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:43,751] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:43,751] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:43,752] [9/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:43,755] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,755] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:43,755] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,755] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:43,755] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:43,756] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:43,756] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:43,756] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:43,756] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,757] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,757] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:43,757] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:43,757] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,757] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,757] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,757] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,758] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,758] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,758] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,759] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,759] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,759] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,759] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,759] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,760] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:43,760] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,760] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,760] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,760] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 5)
[2023-11-01 20:50:43,761] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:43,762] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:43,762] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:43,762] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:43,762] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,762] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,762] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:43,763] [9/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>, inlined by default
[2023-11-01 20:50:43,763] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:45 in forward (FrozenBatchNorm2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,763] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:43,763] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:46 in forward (FrozenBatchNorm2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,763] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if x.requires_grad:
[2023-11-01 20:50:43,763] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,763] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR requires_grad [TensorVariable()]
[2023-11-01 20:50:43,764] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:43,764] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,764] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:43,764] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,764] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR batch_norm [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,765] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:59 in forward (FrozenBatchNorm2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,765] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     x,
[2023-11-01 20:50:43,765] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>)]
[2023-11-01 20:50:43,765] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60 in forward (FrozenBatchNorm2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,765] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_mean,
[2023-11-01 20:50:43,765] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable()]
[2023-11-01 20:50:43,765] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_mean [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,766] [9/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].stem.conv1.norm.running_mean (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,767] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61 in forward (FrozenBatchNorm2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,767] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_var,
[2023-11-01 20:50:43,767] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,767] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_var [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,768] [9/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].stem.conv1.norm.running_var (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,768] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62 in forward (FrozenBatchNorm2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,768] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.weight,
[2023-11-01 20:50:43,768] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,769] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,769] [9/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].stem.conv1.norm.weight (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,770] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63 in forward (FrozenBatchNorm2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,770] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.bias,
[2023-11-01 20:50:43,770] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,770] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:43,771] [9/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].stem.conv1.norm.bias (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:43,772] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:64 in forward (FrozenBatchNorm2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,772] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     training=False,
[2023-11-01 20:50:43,772] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:43,772] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:65 in forward (FrozenBatchNorm2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,772] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     eps=self.eps,
[2023-11-01 20:50:43,772] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:43,772] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eps [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), NNModuleVariable()]
[2023-11-01 20:50:43,772] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 6)
[2023-11-01 20:50:43,772] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:43,773] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('training', 'eps') [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float)]
[2023-11-01 20:50:43,773] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 7 [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float), TupleVariable()]
[2023-11-01 20:50:43,789] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,789] [9/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>
[2023-11-01 20:50:43,790] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,790] [9/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,790] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,790] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:132 in forward (Conv2d.forward) (inline depth: 4)
[2023-11-01 20:50:43,790] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.activation is not None:
[2023-11-01 20:50:43,790] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:43,790] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR activation [NNModuleVariable()]
[2023-11-01 20:50:43,791] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(NoneType)]
[2023-11-01 20:50:43,791] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [ConstantVariable(NoneType), ConstantVariable(NoneType)]
[2023-11-01 20:50:43,791] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 180 [ConstantVariable(bool)]
[2023-11-01 20:50:43,791] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:134 in forward (Conv2d.forward) (inline depth: 4)
[2023-11-01 20:50:43,791] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return x
[2023-11-01 20:50:43,791] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,791] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,791] [9/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>
[2023-11-01 20:50:43,791] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,792] [9/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,792] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,792] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:357 in forward (BasicStem.forward) (inline depth: 2)
[2023-11-01 20:50:43,792] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.relu_(x)
[2023-11-01 20:50:43,792] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,793] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,793] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:43,793] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:43,794] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,794] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:358 in forward (BasicStem.forward) (inline depth: 2)
[2023-11-01 20:50:43,794] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
[2023-11-01 20:50:43,794] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:43,795] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:43,795] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>)]
[2023-11-01 20:50:43,795] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable()]
[2023-11-01 20:50:43,795] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int)]
[2023-11-01 20:50:43,795] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:43,796] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('kernel_size', 'stride', 'padding') [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
[2023-11-01 20:50:43,796] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(<function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TupleVariable()]
[2023-11-01 20:50:43,797] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,797] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:359 in forward (BasicStem.forward) (inline depth: 2)
[2023-11-01 20:50:43,797] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return x
[2023-11-01 20:50:43,798] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:43,798] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,798] [9/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1e5ddb730, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py", line 355>
[2023-11-01 20:50:43,798] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:43,798] [9/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:43,798] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:43,798] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:446 in forward (ResNet.forward)
[2023-11-01 20:50:43,798] [9/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if "stem" in self._out_features:
[2023-11-01 20:50:43,798] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST stem []
[2023-11-01 20:50:43,799] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [ConstantVariable(str)]
[2023-11-01 20:50:43,799] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _out_features [ConstantVariable(str), NNModuleVariable()]
[2023-11-01 20:50:43,800] [9/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CONTAINS_OP 0 [ConstantVariable(str), UserDefinedObjectVariable(ListConfig)]
[2023-11-01 20:50:43,800] [9/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:43,800] [9/0] torch._dynamo.symbolic_convert: [DEBUG] step triggered compile
[2023-11-01 20:50:43,801] [9/0] torch._dynamo.output_graph: [DEBUG] restore_graphstate: removed 0 nodes
[2023-11-01 20:50:43,801] [9/0] torch._dynamo.output_graph: [DEBUG] COMPILING GRAPH due to GraphCompileReason(reason='step_unsupported', user_stack=[<FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py, line 446 in forward>], graph_break=True)
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  ===== __compiled_fn_12 =====
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  <eval_with_key>.92 class GraphModule(torch.nn.Module):
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]     def forward(self, L_x_ : torch.Tensor):
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l_x_ = L_x_
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128, code: x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___stem_conv1_weight = self.L__self___stem_conv1_weight
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         x = torch.conv2d(l_x_, l__self___stem_conv1_weight, None, (2, 2), (3, 3), (1, 1), 1);  l_x_ = l__self___stem_conv1_weight = None
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60, code: self.running_mean,
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___stem_conv1_norm_running_mean = self.L__self___stem_conv1_norm_running_mean
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61, code: self.running_var,
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___stem_conv1_norm_running_var = self.L__self___stem_conv1_norm_running_var
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62, code: self.weight,
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___stem_conv1_norm_weight = self.L__self___stem_conv1_norm_weight
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63, code: self.bias,
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___stem_conv1_norm_bias = self.L__self___stem_conv1_norm_bias
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58, code: return F.batch_norm(
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         x_2 = torch.nn.functional.batch_norm(x, l__self___stem_conv1_norm_running_mean, l__self___stem_conv1_norm_running_var, l__self___stem_conv1_norm_weight, l__self___stem_conv1_norm_bias, training = False, eps = 1e-05);  x = l__self___stem_conv1_norm_running_mean = l__self___stem_conv1_norm_running_var = l__self___stem_conv1_norm_weight = l__self___stem_conv1_norm_bias = None
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:357, code: x = F.relu_(x)
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         x_3 = torch.relu_(x_2);  x_2 = None
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:358, code: x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         x_5 = torch.nn.functional.max_pool2d(x_3, kernel_size = 3, stride = 2, padding = 1);  x_3 = None
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         return (x_5,)
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:43,803] [9/0] torch._dynamo.output_graph.__graph_code: [DEBUG] 
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG]  __compiled_fn_12 <eval_with_key>.92 opcode         name                                    target                                                     args                                                                                                                                                  kwargs
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] -------------  --------------------------------------  ---------------------------------------------------------  ----------------------------------------------------------------------------------------------------------------------------------------------------  ---------------------------------------------
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] placeholder    l_x_                                    L_x_                                                       ()                                                                                                                                                    {}
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___stem_conv1_weight             L__self___stem_conv1_weight                                ()                                                                                                                                                    {}
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  x                                       <built-in method conv2d of type object at 0x7fe2ae3e5f40>  (l_x_, l__self___stem_conv1_weight, None, (2, 2), (3, 3), (1, 1), 1)                                                                                  {}
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___stem_conv1_norm_running_mean  L__self___stem_conv1_norm_running_mean                     ()                                                                                                                                                    {}
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___stem_conv1_norm_running_var   L__self___stem_conv1_norm_running_var                      ()                                                                                                                                                    {}
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___stem_conv1_norm_weight        L__self___stem_conv1_norm_weight                           ()                                                                                                                                                    {}
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___stem_conv1_norm_bias          L__self___stem_conv1_norm_bias                             ()                                                                                                                                                    {}
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  x_2                                     <function batch_norm at 0x7fe241b1f1c0>                    (x, l__self___stem_conv1_norm_running_mean, l__self___stem_conv1_norm_running_var, l__self___stem_conv1_norm_weight, l__self___stem_conv1_norm_bias)  {'training': False, 'eps': 1e-05}
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  x_3                                     <built-in method relu_ of type object at 0x7fe2ae3e5f40>   (x_2,)                                                                                                                                                {}
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  x_5                                     <function boolean_dispatch.<locals>.fn at 0x7fe241b1d120>  (x_3,)                                                                                                                                                {'kernel_size': 3, 'stride': 2, 'padding': 1}
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] output         output                                  output                                                     ((x_5,),)                                                                                                                                             {}
[2023-11-01 20:50:43,805] [9/0] torch._dynamo.output_graph.__graph: [DEBUG] 
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] TRACED GRAPH TENSOR SIZES
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] ===== __compiled_fn_12 =====
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l_x_: (1, 3, 800, 1216)
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___stem_conv1_weight: (64, 3, 7, 7)
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] x: (1, 64, 400, 608)
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___stem_conv1_norm_running_mean: (64,)
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___stem_conv1_norm_running_var: (64,)
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___stem_conv1_norm_weight: (64,)
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___stem_conv1_norm_bias: (64,)
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] x_2: (1, 64, 400, 608)
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] x_3: (1, 64, 400, 608)
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] x_5: (1, 64, 200, 304)
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] 
[2023-11-01 20:50:43,806] [9/0] torch._dynamo.output_graph: [INFO] Step 2: calling compiler function inductor
[2023-11-01 20:50:43,896] [9/0] torch._inductor.graph: [DEBUG] Skip layout opt because all convolution channels are too small
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]  ===== FROZEN GRAPH =====
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]  <eval_with_key>.106 class <lambda>(torch.nn.Module):
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]     def forward(self, arg5_1: f16[1, 3, 800, 1216]):
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         # No stacktrace found for following nodes
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         _frozen_param14: f16[64, 3, 7, 7] = self._frozen_param14
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         _frozen_param15: f16[64] = self._frozen_param15
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         convolution_default_3: f16[1, 64, 400, 608] = torch.ops.aten.convolution.default(arg5_1, _frozen_param14, _frozen_param15, [2, 2], [3, 3], [1, 1], False, [0, 0], 1);  arg5_1 = _frozen_param14 = _frozen_param15 = None
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:357, code: x = F.relu_(x)
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         relu: f16[1, 64, 400, 608] = torch.ops.aten.relu.default(convolution_default_3);  convolution_default_3 = None
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:358, code: x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         max_pool2d_with_indices = torch.ops.aten.max_pool2d_with_indices.default(relu, [3, 3], [2, 2], [1, 1]);  relu = None
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         getitem: f16[1, 64, 200, 304] = max_pool2d_with_indices[0];  max_pool2d_with_indices = None
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         return (getitem,)
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:44,086] [9/0] torch._inductor.freezing: [DEBUG] 
[2023-11-01 20:50:44,087] [9/0] torch._inductor.compile_fx: [INFO] Step 3: torchinductor compiling FORWARDS graph 4
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO] TRACED GRAPH
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]  ===== AFTER POST GRAD =====
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]  <eval_with_key>.107 class <lambda>(torch.nn.Module):
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]     def forward(self, arg5_1: f16[1, 3, 800, 1216]):
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # No stacktrace found for following nodes
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param14: f16[64, 3, 7, 7] = self._frozen_param14
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param15: f16[64] = self._frozen_param15
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         convolution_default_3: f16[1, 64, 400, 608] = torch.ops.aten.convolution.default(arg5_1, _frozen_param14, _frozen_param15, [2, 2], [3, 3], [1, 1], False, [0, 0], 1);  arg5_1 = _frozen_param14 = _frozen_param15 = None
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:357, code: x = F.relu_(x)
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         relu: f16[1, 64, 400, 608] = torch.ops.aten.relu.default(convolution_default_3);  convolution_default_3 = None
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:358, code: x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         max_pool2d_with_indices = torch.ops.aten.max_pool2d_with_indices.default(relu, [3, 3], [2, 2], [1, 1]);  relu = None
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         getitem: f16[1, 64, 200, 304] = max_pool2d_with_indices[0];  max_pool2d_with_indices = None
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         return (getitem,)
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:44,101] [9/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO] 
[2023-11-01 20:50:44,103] [9/0] torch._inductor.graph: [DEBUG] Skip layout opt because all convolution channels are too small
[2023-11-01 20:50:44,104] [9/0] torch._inductor.graph: [DEBUG] lowering %arg5_1 : [num_users=1] = placeholder[target=arg5_1]
[2023-11-01 20:50:44,106] [9/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param14 : [num_users=1] = get_attr[target=_frozen_param14]
[2023-11-01 20:50:44,179] [9/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param15 : [num_users=1] = get_attr[target=_frozen_param15]
[2023-11-01 20:50:44,182] [9/0] torch._inductor.graph: [DEBUG] lowering %convolution_default_3 : [num_users=1] = call_function[target=torch.ops.aten.convolution.default](args = (%arg5_1, %_frozen_param14, %_frozen_param15, [2, 2], [3, 3], [1, 1], False, [0, 0], 1), kwargs = {})
[2023-11-01 20:50:44,187] [9/0] torch._inductor.select_algorithm: [INFO] Max autotune selects from 1 choices.
[2023-11-01 20:50:44,190] [9/0] torch._inductor.graph: [DEBUG] lowering %relu : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%convolution_default_3,), kwargs = {})
[2023-11-01 20:50:44,192] [9/0] torch._inductor.graph: [DEBUG] lowering %max_pool2d_with_indices : [num_users=1] = call_function[target=torch.ops.aten.max_pool2d_with_indices.default](args = (%relu, [3, 3], [2, 2], [1, 1]), kwargs = {})
[2023-11-01 20:50:44,209] [9/0] torch._inductor.graph: [DEBUG] lowering %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%max_pool2d_with_indices, 0), kwargs = {})
[2023-11-01 20:50:44,216] [9/0] torch._inductor.graph: [DEBUG] lowering return (getitem,)
[2023-11-01 20:50:44,218] [9/0] torch._inductor.graph: [DEBUG] Force channels last inputs for 0 conv for the current graph with id 4
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG] scheduling ExternKernelAlloc(
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG]   kernel='extern_kernels.convolution',
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG]   name=buf0,
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG]   layout=FixedLayout('cuda', torch.float16, size=[1, 64, 400, 608], stride=[15564800, 243200, 608, 1]),
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG]   inputs=[InputBuffer(name='arg5_1', layout=FixedLayout('cuda', torch.float16, size=[1, 3, 800, 1216], stride=[2918400, 972800, 1216, 1])), ConstantBuffer(name='_frozen_param14', layout=FixedLayout('cuda', torch.float16, size=[64, 3, 7, 7], stride=[147, 49, 7, 1]))],
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG]   constant_args=(),
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG]   kwargs={'stride': (2, 2), 'padding': (3, 3), 'dilation': (1, 1), 'transposed': False, 'output_padding': (0, 0), 'groups': 1, 'bias': None},
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG]   output_view=None,
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG]   ordered_kwargs_for_cpp_kernel=['bias', 'stride', 'padding', 'dilation', 'transposed', 'output_padding', 'groups'],
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG]   origin_node=None,
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG]   origins={convolution_default_3}
[2023-11-01 20:50:44,323] [9/0] torch._inductor.scheduler: [DEBUG] )
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG] scheduling ComputedBuffer(name='buf1', layout=FixedLayout('cuda', torch.float16, size=[1, 64, 400, 608], stride=[15564800, 243200, 608, 1]), data=Pointwise(
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]   'cuda',
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]   torch.float16,
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]   def inner_fn(index):
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]       _, i1, i2, i3 = index
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]       tmp0 = ops.load(buf0, i3 + 608 * i2 + 243200 * i1)
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]       tmp1 = ops.load(_frozen_param15, i1)
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]       tmp2 = tmp0 + tmp1
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]       tmp3 = ops.relu(tmp2)
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]       return tmp3
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]   ,
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]   ranges=[1, 64, 400, 608],
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]   origin_node=relu,
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG]   origins={relu, convolution_default_3}
[2023-11-01 20:50:44,324] [9/0] torch._inductor.scheduler: [DEBUG] ))
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG] scheduling ComputedBuffer(name='buf2', layout=FixedLayout('cuda', torch.float16, size=[1, 64, 200, 304], stride=[3891200, 60800, 304, 1]), data=Pointwise(
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]   'cuda',
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]   torch.float16,
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]   def inner_fn(index):
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       _, i1, i2, i3 = index
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp0 = ops.index_expr(-1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp1 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp2 = tmp0 >= tmp1
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp3 = ops.index_expr(-1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp4 = ops.index_expr(400, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp5 = tmp3 < tmp4
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp6 = tmp2 & tmp5
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp7 = ops.index_expr(-1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp8 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp9 = tmp7 >= tmp8
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp10 = ops.index_expr(-1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp11 = ops.index_expr(608, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp12 = tmp10 < tmp11
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp13 = tmp9 & tmp12
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp14 = tmp6 & tmp13
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp15 = ops.load(buf1, -609 + 2 * i3 + 1216 * i2 + 243200 * i1)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp16 = ops.masked(tmp14, tmp15, -inf)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp17 = ops.index_expr(-1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp18 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp19 = tmp17 >= tmp18
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp20 = ops.index_expr(-1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp21 = ops.index_expr(400, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp22 = tmp20 < tmp21
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp23 = tmp19 & tmp22
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp24 = ops.index_expr(2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp25 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp26 = tmp24 >= tmp25
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp27 = ops.index_expr(2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp28 = ops.index_expr(608, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp29 = tmp27 < tmp28
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp30 = tmp26 & tmp29
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp31 = tmp23 & tmp30
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp32 = ops.load(buf1, -608 + 2 * i3 + 1216 * i2 + 243200 * i1)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp33 = ops.masked(tmp31, tmp32, -inf)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp34 = ops.maximum(tmp33, tmp16)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp35 = ops.index_expr(-1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp36 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp37 = tmp35 >= tmp36
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp38 = ops.index_expr(-1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp39 = ops.index_expr(400, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp40 = tmp38 < tmp39
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp41 = tmp37 & tmp40
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp42 = ops.index_expr(1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp43 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp44 = tmp42 >= tmp43
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp45 = ops.index_expr(1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp46 = ops.index_expr(608, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp47 = tmp45 < tmp46
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp48 = tmp44 & tmp47
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp49 = tmp41 & tmp48
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp50 = ops.load(buf1, -607 + 2 * i3 + 1216 * i2 + 243200 * i1)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp51 = ops.masked(tmp49, tmp50, -inf)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp52 = ops.maximum(tmp51, tmp34)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp53 = ops.index_expr(2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp54 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp55 = tmp53 >= tmp54
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp56 = ops.index_expr(2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp57 = ops.index_expr(400, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp58 = tmp56 < tmp57
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp59 = tmp55 & tmp58
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp60 = ops.index_expr(-1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp61 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp62 = tmp60 >= tmp61
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp63 = ops.index_expr(-1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp64 = ops.index_expr(608, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp65 = tmp63 < tmp64
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp66 = tmp62 & tmp65
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp67 = tmp59 & tmp66
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp68 = ops.load(buf1, -1 + 2 * i3 + 1216 * i2 + 243200 * i1)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp69 = ops.masked(tmp67, tmp68, -inf)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp70 = ops.maximum(tmp69, tmp52)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp71 = ops.index_expr(2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp72 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp73 = tmp71 >= tmp72
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp74 = ops.index_expr(2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp75 = ops.index_expr(400, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp76 = tmp74 < tmp75
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp77 = tmp73 & tmp76
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp78 = ops.index_expr(2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp79 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp80 = tmp78 >= tmp79
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp81 = ops.index_expr(2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp82 = ops.index_expr(608, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp83 = tmp81 < tmp82
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp84 = tmp80 & tmp83
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp85 = tmp77 & tmp84
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp86 = ops.load(buf1, 2 * i3 + 1216 * i2 + 243200 * i1)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp87 = ops.masked(tmp85, tmp86, -inf)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp88 = ops.maximum(tmp87, tmp70)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp89 = ops.index_expr(2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp90 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp91 = tmp89 >= tmp90
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp92 = ops.index_expr(2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp93 = ops.index_expr(400, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp94 = tmp92 < tmp93
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp95 = tmp91 & tmp94
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp96 = ops.index_expr(1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp97 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp98 = tmp96 >= tmp97
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp99 = ops.index_expr(1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp100 = ops.index_expr(608, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp101 = tmp99 < tmp100
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp102 = tmp98 & tmp101
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp103 = tmp95 & tmp102
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp104 = ops.load(buf1, 1 + 2 * i3 + 1216 * i2 + 243200 * i1)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp105 = ops.masked(tmp103, tmp104, -inf)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp106 = ops.maximum(tmp105, tmp88)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp107 = ops.index_expr(1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp108 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp109 = tmp107 >= tmp108
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp110 = ops.index_expr(1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp111 = ops.index_expr(400, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp112 = tmp110 < tmp111
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp113 = tmp109 & tmp112
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp114 = ops.index_expr(-1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp115 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp116 = tmp114 >= tmp115
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp117 = ops.index_expr(-1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp118 = ops.index_expr(608, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp119 = tmp117 < tmp118
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp120 = tmp116 & tmp119
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp121 = tmp113 & tmp120
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp122 = ops.load(buf1, 607 + 2 * i3 + 1216 * i2 + 243200 * i1)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp123 = ops.masked(tmp121, tmp122, -inf)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp124 = ops.maximum(tmp123, tmp106)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp125 = ops.index_expr(1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp126 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp127 = tmp125 >= tmp126
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp128 = ops.index_expr(1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp129 = ops.index_expr(400, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp130 = tmp128 < tmp129
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp131 = tmp127 & tmp130
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp132 = ops.index_expr(2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp133 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp134 = tmp132 >= tmp133
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp135 = ops.index_expr(2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp136 = ops.index_expr(608, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp137 = tmp135 < tmp136
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp138 = tmp134 & tmp137
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp139 = tmp131 & tmp138
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp140 = ops.load(buf1, 608 + 2 * i3 + 1216 * i2 + 243200 * i1)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp141 = ops.masked(tmp139, tmp140, -inf)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp142 = ops.maximum(tmp141, tmp124)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp143 = ops.index_expr(1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp144 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp145 = tmp143 >= tmp144
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp146 = ops.index_expr(1 + 2 * i2, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp147 = ops.index_expr(400, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp148 = tmp146 < tmp147
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp149 = tmp145 & tmp148
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp150 = ops.index_expr(1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp151 = ops.index_expr(0, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp152 = tmp150 >= tmp151
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp153 = ops.index_expr(1 + 2 * i3, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp154 = ops.index_expr(608, torch.int64)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp155 = tmp153 < tmp154
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp156 = tmp152 & tmp155
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp157 = tmp149 & tmp156
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp158 = ops.load(buf1, 609 + 2 * i3 + 1216 * i2 + 243200 * i1)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp159 = ops.masked(tmp157, tmp158, -inf)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       tmp160 = ops.maximum(tmp159, tmp142)
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]       return tmp160
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]   ,
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]   ranges=[1, 64, 200, 304],
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]   origin_node=getitem,
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG]   origins={getitem}
[2023-11-01 20:50:44,325] [9/0] torch._inductor.scheduler: [DEBUG] ))
[2023-11-01 20:50:44,331] [9/0] torch._inductor.scheduler: [DEBUG] scheduling output buf2
[2023-11-01 20:50:44,339] [9/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf0 with estimated runtime 19100.529101
[2023-11-01 20:50:44,342] [9/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf1 with estimated runtime 32169.312169
[2023-11-01 20:50:44,351] [9/0] torch._inductor.codegen.triton: [DEBUG] Generating kernel code with kernel_name: triton_poi_fused_convolution_relu_0
[2023-11-01 20:50:44,351] [9/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf2 with estimated runtime 20105.820106
[2023-11-01 20:50:44,474] [9/0] torch._inductor.codegen.triton: [DEBUG] Generating kernel code with kernel_name: triton_poi_fused_max_pool2d_with_indices_1
[2023-11-01 20:50:44,593] [0/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 2 configs
[2023-11-01 20:50:44,594] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:44,594] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:44,595] [0/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 2 configs
[2023-11-01 20:50:44,595] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:44,595] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:45,176] [9/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 2 configs
[2023-11-01 20:50:45,176] [9/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:45,176] [9/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:45,309] [9/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 2 configs
[2023-11-01 20:50:45,309] [9/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:45,309] [9/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:45,334] [9/0] torch._inductor.graph: [DEBUG] Output code written to: /tmp/tmp40bwf4th/al/cal63dd5jtulvcpnfh2c4cvtnvg3a7j7a7ylape6ot6lk5urlwdj.py
[2023-11-01 20:50:45,335] [9/0] torch._inductor.compile_fx: [DEBUG] FX codegen and compilation took 1.247s
[2023-11-01 20:50:45,335] [9/0] torch._inductor.compile_fx: [INFO] Step 3: torchinductor done compiling FORWARDS graph 4
[2023-11-01 20:50:45,340] [9/0] torch._dynamo.output_graph: [INFO] Step 2: done compiler function inductor
[2023-11-01 20:50:45,347] [9/0] torch._dynamo.guards.__guards: [DEBUG] GUARDS:
[2023-11-01 20:50:45,347] [9/0] torch._dynamo.guards.__guards: [DEBUG] hasattr(L['x'], '_dynamo_dynamic_indices') == False           # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:45,348] [9/0] torch._dynamo.guards.__guards: [DEBUG] ___check_obj_id(L['self'], 140608108236560)                 
[2023-11-01 20:50:45,348] [9/0] torch._dynamo.guards.__guards: [DEBUG] L['self'].training == False                                 
[2023-11-01 20:50:45,349] [9/0] torch._dynamo.guards.__guards: [DEBUG] utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:370 in init_ambient_guards
[2023-11-01 20:50:45,349] [9/0] torch._dynamo.guards.__guards: [DEBUG] ___skip_backend_check() or ___current_backend() == ___lookup_backend(140608569684848)  # _dynamo/output_graph.py:376 in init_ambient_guards
[2023-11-01 20:50:45,349] [9/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION, 7605472)
[2023-11-01 20:50:45,350] [9/0] torch._dynamo.guards.__guards: [DEBUG] len(G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION) == 2
[2023-11-01 20:50:45,350] [9/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION[0], 7628128)
[2023-11-01 20:50:45,351] [9/0] torch._dynamo.guards.__guards: [DEBUG] G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION[0] == 2
[2023-11-01 20:50:45,351] [9/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION[1], 7628128)
[2023-11-01 20:50:45,352] [9/0] torch._dynamo.guards.__guards: [DEBUG] G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION[1] == 2
[2023-11-01 20:50:45,352] [9/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks, 7477216)
[2023-11-01 20:50:45,353] [9/0] torch._dynamo.guards.__guards: [DEBUG] set(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks.keys()) == set()
[2023-11-01 20:50:45,353] [9/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks, 7477216)
[2023-11-01 20:50:45,353] [9/0] torch._dynamo.guards.__guards: [DEBUG] set(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks.keys()) == set()
[2023-11-01 20:50:45,354] [9/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks, 7477216)
[2023-11-01 20:50:45,354] [9/0] torch._dynamo.guards.__guards: [DEBUG] set(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks.keys()) == set()
[2023-11-01 20:50:45,354] [9/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks, 7477216)
[2023-11-01 20:50:45,355] [9/0] torch._dynamo.guards.__guards: [DEBUG] set(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks.keys()) == set()
[2023-11-01 20:50:45,356] [9/0] torch._dynamo.guards.__guards: [DEBUG] check_tensor(L['x'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA, AutocastCUDA), torch.float16, device=0, requires_grad=False, size=[1, 3, 800, 1216], stride=[2918400, 972800, 1216, 1])  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:45,364] torch._inductor.cudagraph_trees: [INFO] recording cudagraph tree for None
[2023-11-01 20:50:45,365] torch._inductor.cudagraph_trees: [DEBUG] Running warmup of function 1
[2023-11-01 20:50:45,475] torch._inductor.triton_heuristics: [DEBUG] Benchmark all input configs get:
[2023-11-01 20:50:45,475] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.091744, nreg 25, nspill 0, #shared-mem 0
[2023-11-01 20:50:45,475] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.098400, nreg 14, nspill 0, #shared-mem 0
[2023-11-01 20:50:45,476] torch._inductor.triton_heuristics: [DEBUG] Save heuristic tuning result to /tmp/tmp40bwf4th/dl/cdlebupkc2fpqbe2txgsbpu2xov6oxq3vz4un4z6zsf5ki3dfakj.best_config
[2023-11-01 20:50:45,577] torch._inductor.triton_heuristics: [DEBUG] Benchmark all input configs get:
[2023-11-01 20:50:45,577] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.072320, nreg 53, nspill 0, #shared-mem 0
[2023-11-01 20:50:45,577] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.045600, nreg 32, nspill 0, #shared-mem 0
[2023-11-01 20:50:45,578] torch._inductor.triton_heuristics: [DEBUG] Save heuristic tuning result to /tmp/tmp40bwf4th/q5/cq5usrz45atgxxryxk5kgm2xtaee76byudw2cbxv5egeg2l3i52m.best_config
[2023-11-01 20:50:45,579] torch._dynamo.eval_frame: [DEBUG] skipping __contains__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/listconfig.py
[2023-11-01 20:50:45,579] torch._dynamo.eval_frame: [DEBUG] skipping _is_none /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/base.py
[2023-11-01 20:50:45,579] torch._dynamo.eval_frame: [DEBUG] skipping _value /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/basecontainer.py
[2023-11-01 20:50:45,579] torch._dynamo.eval_frame: [DEBUG] skipping _is_missing /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/base.py
[2023-11-01 20:50:45,579] torch._dynamo.eval_frame: [DEBUG] skipping _is_missing_value /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/_utils.py
[2023-11-01 20:50:45,579] torch._dynamo.eval_frame: [DEBUG] skipping _handle_fromlist <frozen importlib._bootstrap>
[2023-11-01 20:50:45,579] torch._dynamo.eval_frame: [DEBUG] skipping __instancecheck__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/abc.py
[2023-11-01 20:50:45,579] torch._dynamo.eval_frame: [DEBUG] skipping _is_missing_literal /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/_utils.py
[2023-11-01 20:50:45,580] torch._dynamo.eval_frame: [DEBUG] skipping _dereference_node /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/base.py
[2023-11-01 20:50:45,580] torch._dynamo.eval_frame: [DEBUG] skipping _dereference_node_impl /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/base.py
[2023-11-01 20:50:45,580] torch._dynamo.eval_frame: [DEBUG] skipping _is_interpolation /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/nodes.py
[2023-11-01 20:50:45,580] torch._dynamo.eval_frame: [DEBUG] skipping _value /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/nodes.py
[2023-11-01 20:50:45,580] torch._dynamo.eval_frame: [DEBUG] skipping _is_interpolation /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/_utils.py
[2023-11-01 20:50:45,580] torch._dynamo.eval_frame: [DEBUG] skipping __subclasscheck__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/abc.py
[2023-11-01 20:50:45,580] torch._dynamo.eval_frame: [DEBUG] skipping __subclasshook__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/_collections_abc.py
[2023-11-01 20:50:45,580] torch._dynamo.eval_frame: [DEBUG] skipping _is_interpolation_string /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/_utils.py
[2023-11-01 20:50:45,580] torch._dynamo.eval_frame: [DEBUG] skipping __eq__ /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/omegaconf/nodes.py
[2023-11-01 20:50:45,581] torch._dynamo.eval_frame: [DEBUG] skipping forward /home/dberard/local/pytorch/torch/nn/modules/container.py
[2023-11-01 20:50:45,581] torch._dynamo.eval_frame: [DEBUG] skipping __iter__ /home/dberard/local/pytorch/torch/nn/modules/container.py
[2023-11-01 20:50:45,582] [10/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing forward /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:194
[2023-11-01 20:50:45,584] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:194 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:45,584] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:45,585] [10/0] torch._dynamo.output_graph: [DEBUG] create_graph_input L_x_ L['x']
[2023-11-01 20:50:45,585] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['x'] (1, 64, 200, 304) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:45,587] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:195 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:45,587] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             out = self.conv1(x)
[2023-11-01 20:50:45,587] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,587] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv1 [NNModuleVariable()]
[2023-11-01 20:50:45,588] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:45,588] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:45,589] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:45,593] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,593] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:45,593] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,593] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:45,593] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,594] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,594] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:45,594] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:45,595] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,595] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,595] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:45,595] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:45,596] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,596] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,596] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,596] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,596] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,596] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,596] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,597] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,597] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,597] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,598] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,598] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,598] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,599] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,599] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,599] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,599] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:45,599] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,599] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,599] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,599] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,599] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,599] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:45,600] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,600] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,600] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,600] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,600] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,600] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:45,600] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,600] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,600] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,601] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,602] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,602] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>, inlined by default
[2023-11-01 20:50:45,603] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:109 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,603] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:45,603] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:116 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,603] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not torch.jit.is_scripting():
[2023-11-01 20:50:45,603] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,604] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,604] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:45,605] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:45,605] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,605] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:118 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,605] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 is_dynamo_compiling = check_if_dynamo_compiling()
[2023-11-01 20:50:45,605] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL check_if_dynamo_compiling []
[2023-11-01 20:50:45,606] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [UserFunctionVariable()]
[2023-11-01 20:50:45,606] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>, inlined by default
[2023-11-01 20:50:45,606] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:41 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,606] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     def check_if_dynamo_compiling():
[2023-11-01 20:50:45,606] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:42 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,606] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if TORCH_VERSION >= (1, 14):
[2023-11-01 20:50:45,607] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL TORCH_VERSION []
[2023-11-01 20:50:45,607] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 14) [TupleVariable()]
[2023-11-01 20:50:45,607] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP >= [TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,607] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 26 [ConstantVariable(bool)]
[2023-11-01 20:50:45,608] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:43 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,608] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             from torch._dynamo import is_compiling
[2023-11-01 20:50:45,608] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 []
[2023-11-01 20:50:45,608] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('is_compiling',) [ConstantVariable(int)]
[2023-11-01 20:50:45,608] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_NAME torch._dynamo [ConstantVariable(int), TupleVariable()]
[2023-11-01 20:50:45,608] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_FROM is_compiling [PythonModuleVariable()]
[2023-11-01 20:50:45,609] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_compiling [PythonModuleVariable(), TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:45,609] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [PythonModuleVariable()]
[2023-11-01 20:50:45,609] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:45 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,609] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return is_compiling()
[2023-11-01 20:50:45,609] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_compiling []
[2023-11-01 20:50:45,609] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:45,609] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(bool)]
[2023-11-01 20:50:45,609] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>
[2023-11-01 20:50:45,610] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_dynamo_compiling [ConstantVariable(bool)]
[2023-11-01 20:50:45,610] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:119 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,610] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if not is_dynamo_compiling:
[2023-11-01 20:50:45,610] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_dynamo_compiling []
[2023-11-01 20:50:45,610] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,610] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,610] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:45,610] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:45,610] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2d [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:45,611] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,611] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:45,611] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:45,611] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:45,611] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,612] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv1.weight (64, 64, 1, 1) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:45,613] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,613] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,614] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,614] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stride [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), NNModuleVariable()]
[2023-11-01 20:50:45,615] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable()]
[2023-11-01 20:50:45,615] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR padding [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,615] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,615] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dilation [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,616] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,616] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR groups [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,617] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,617] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:45,617] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:45,620] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:45,620] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:130 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,620] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.norm is not None:
[2023-11-01 20:50:45,620] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,620] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:45,621] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [NNModuleVariable()]
[2023-11-01 20:50:45,621] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [NNModuleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,621] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 160 [ConstantVariable(bool)]
[2023-11-01 20:50:45,621] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:131 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,621] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x = self.norm(x)
[2023-11-01 20:50:45,621] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,621] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:45,622] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:45,622] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:45,623] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:45,626] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,626] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:45,626] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,626] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:45,626] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,627] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,627] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:45,628] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:45,628] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,628] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,628] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:45,629] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:45,629] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,629] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,629] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,629] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,629] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,629] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,630] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,630] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,630] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,630] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,631] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,631] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,631] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,631] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,632] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,633] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,634] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,634] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>, inlined by default
[2023-11-01 20:50:45,635] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:45 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,635] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:45,635] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:46 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,635] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if x.requires_grad:
[2023-11-01 20:50:45,635] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:45,635] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR requires_grad [TensorVariable()]
[2023-11-01 20:50:45,635] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,635] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,635] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:45,636] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:45,636] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR batch_norm [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:45,637] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:59 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,637] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     x,
[2023-11-01 20:50:45,637] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>)]
[2023-11-01 20:50:45,637] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,637] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_mean,
[2023-11-01 20:50:45,637] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable()]
[2023-11-01 20:50:45,637] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_mean [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,638] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv1.norm.running_mean (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,639] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,639] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_var,
[2023-11-01 20:50:45,640] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,640] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_var [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,640] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv1.norm.running_var (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,641] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,641] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.weight,
[2023-11-01 20:50:45,642] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,642] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,642] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv1.norm.weight (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,643] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,643] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.bias,
[2023-11-01 20:50:45,643] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,643] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,644] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv1.norm.bias (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,645] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:64 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,645] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     training=False,
[2023-11-01 20:50:45,645] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,645] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:65 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,645] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     eps=self.eps,
[2023-11-01 20:50:45,645] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:45,645] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eps [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), NNModuleVariable()]
[2023-11-01 20:50:45,646] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,646] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:45,646] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('training', 'eps') [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float)]
[2023-11-01 20:50:45,646] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 7 [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float), TupleVariable()]
[2023-11-01 20:50:45,664] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,664] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>
[2023-11-01 20:50:45,665] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,665] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:45,665] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:45,665] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:132 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,665] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.activation is not None:
[2023-11-01 20:50:45,665] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,666] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR activation [NNModuleVariable()]
[2023-11-01 20:50:45,666] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,666] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [ConstantVariable(NoneType), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,666] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 180 [ConstantVariable(bool)]
[2023-11-01 20:50:45,667] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:134 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,667] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return x
[2023-11-01 20:50:45,667] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:45,667] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,667] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>
[2023-11-01 20:50:45,667] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,667] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:45,667] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out [TensorVariable()]
[2023-11-01 20:50:45,668] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:196 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:45,668] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             out = F.relu_(out)
[2023-11-01 20:50:45,668] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:45,669] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:45,669] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:45,669] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:45,671] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out [TensorVariable()]
[2023-11-01 20:50:45,671] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:198 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:45,671] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             out = self.conv2(out)
[2023-11-01 20:50:45,671] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,671] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2 [NNModuleVariable()]
[2023-11-01 20:50:45,672] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out [NNModuleVariable()]
[2023-11-01 20:50:45,672] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:45,673] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:45,678] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,678] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:45,678] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,678] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:45,678] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,679] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,679] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:45,680] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:45,680] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,680] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,680] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:45,681] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:45,681] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,681] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,681] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,681] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,682] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,682] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,682] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,683] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,683] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,683] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,684] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,684] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,684] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,684] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,685] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,685] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,685] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:45,685] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,685] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,685] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,685] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,685] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,685] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:45,685] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,685] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:45,686] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,687] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,687] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,687] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>, inlined by default
[2023-11-01 20:50:45,688] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:109 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,688] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:45,688] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:116 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,688] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not torch.jit.is_scripting():
[2023-11-01 20:50:45,688] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,689] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,689] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:45,690] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:45,690] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,690] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:118 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,690] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 is_dynamo_compiling = check_if_dynamo_compiling()
[2023-11-01 20:50:45,690] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL check_if_dynamo_compiling []
[2023-11-01 20:50:45,691] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [UserFunctionVariable()]
[2023-11-01 20:50:45,691] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>, inlined by default
[2023-11-01 20:50:45,691] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:41 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,691] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     def check_if_dynamo_compiling():
[2023-11-01 20:50:45,692] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:42 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,692] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if TORCH_VERSION >= (1, 14):
[2023-11-01 20:50:45,692] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL TORCH_VERSION []
[2023-11-01 20:50:45,692] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 14) [TupleVariable()]
[2023-11-01 20:50:45,692] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP >= [TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,692] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 26 [ConstantVariable(bool)]
[2023-11-01 20:50:45,693] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:43 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,693] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             from torch._dynamo import is_compiling
[2023-11-01 20:50:45,693] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 []
[2023-11-01 20:50:45,693] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('is_compiling',) [ConstantVariable(int)]
[2023-11-01 20:50:45,693] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_NAME torch._dynamo [ConstantVariable(int), TupleVariable()]
[2023-11-01 20:50:45,693] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_FROM is_compiling [PythonModuleVariable()]
[2023-11-01 20:50:45,694] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_compiling [PythonModuleVariable(), TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:45,694] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [PythonModuleVariable()]
[2023-11-01 20:50:45,694] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:45 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,694] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return is_compiling()
[2023-11-01 20:50:45,694] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_compiling []
[2023-11-01 20:50:45,694] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:45,694] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(bool)]
[2023-11-01 20:50:45,694] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>
[2023-11-01 20:50:45,694] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_dynamo_compiling [ConstantVariable(bool)]
[2023-11-01 20:50:45,694] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:119 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,694] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if not is_dynamo_compiling:
[2023-11-01 20:50:45,695] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_dynamo_compiling []
[2023-11-01 20:50:45,695] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,695] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,695] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:45,695] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:45,695] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2d [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:45,696] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,696] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:45,696] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:45,696] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:45,696] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,697] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv2.weight (64, 64, 3, 3) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:45,698] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,698] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,699] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,699] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stride [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), NNModuleVariable()]
[2023-11-01 20:50:45,700] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable()]
[2023-11-01 20:50:45,700] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR padding [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,700] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,701] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dilation [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,701] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,701] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR groups [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,702] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,702] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:45,702] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:45,705] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:45,705] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:130 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,705] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.norm is not None:
[2023-11-01 20:50:45,705] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,705] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:45,706] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [NNModuleVariable()]
[2023-11-01 20:50:45,706] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [NNModuleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,706] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 160 [ConstantVariable(bool)]
[2023-11-01 20:50:45,706] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:131 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,706] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x = self.norm(x)
[2023-11-01 20:50:45,706] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,706] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:45,707] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:45,707] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:45,707] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:45,711] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,711] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:45,711] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,711] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:45,711] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,712] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,712] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:45,712] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:45,712] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,713] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,713] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:45,713] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:45,713] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,713] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,713] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,713] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,714] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,714] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,714] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,715] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,715] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,715] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,715] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,716] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,716] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,716] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,716] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,716] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,716] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,717] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,718] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,718] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,718] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:45,718] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:45,718] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:45,718] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:45,718] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,718] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,718] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,719] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>, inlined by default
[2023-11-01 20:50:45,720] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:45 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,720] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:45,720] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:46 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,720] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if x.requires_grad:
[2023-11-01 20:50:45,720] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:45,720] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR requires_grad [TensorVariable()]
[2023-11-01 20:50:45,720] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,720] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,720] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:45,720] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:45,721] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR batch_norm [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:45,722] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:59 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,722] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     x,
[2023-11-01 20:50:45,722] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>)]
[2023-11-01 20:50:45,722] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,722] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_mean,
[2023-11-01 20:50:45,722] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable()]
[2023-11-01 20:50:45,722] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_mean [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,723] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv2.norm.running_mean (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,724] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,724] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_var,
[2023-11-01 20:50:45,724] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,724] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_var [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,725] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv2.norm.running_var (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,726] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,726] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.weight,
[2023-11-01 20:50:45,726] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,726] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,727] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv2.norm.weight (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,728] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,728] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.bias,
[2023-11-01 20:50:45,728] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,728] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,729] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv2.norm.bias (64,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,730] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:64 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,730] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     training=False,
[2023-11-01 20:50:45,730] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,730] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:65 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,730] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     eps=self.eps,
[2023-11-01 20:50:45,730] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:45,730] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eps [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), NNModuleVariable()]
[2023-11-01 20:50:45,731] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,731] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:45,731] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('training', 'eps') [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float)]
[2023-11-01 20:50:45,731] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 7 [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float), TupleVariable()]
[2023-11-01 20:50:45,748] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,749] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>
[2023-11-01 20:50:45,749] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,749] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:45,750] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:45,750] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:132 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,750] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.activation is not None:
[2023-11-01 20:50:45,750] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,750] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR activation [NNModuleVariable()]
[2023-11-01 20:50:45,751] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,751] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [ConstantVariable(NoneType), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,751] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 180 [ConstantVariable(bool)]
[2023-11-01 20:50:45,751] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:134 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,751] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return x
[2023-11-01 20:50:45,751] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:45,751] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,751] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>
[2023-11-01 20:50:45,751] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,751] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:45,752] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out [TensorVariable()]
[2023-11-01 20:50:45,752] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:199 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:45,752] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             out = F.relu_(out)
[2023-11-01 20:50:45,752] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:45,753] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:45,753] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:45,754] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:45,755] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out [TensorVariable()]
[2023-11-01 20:50:45,755] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:201 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:45,755] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             out = self.conv3(out)
[2023-11-01 20:50:45,755] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,755] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv3 [NNModuleVariable()]
[2023-11-01 20:50:45,756] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out [NNModuleVariable()]
[2023-11-01 20:50:45,756] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:45,757] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:45,760] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,760] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:45,761] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,761] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:45,761] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,761] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,762] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:45,762] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:45,762] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,762] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,762] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:45,763] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:45,763] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,763] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,763] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,763] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,764] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,764] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,764] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,764] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,765] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,765] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,765] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,765] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,765] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,766] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,766] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,766] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,766] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:45,766] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,766] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,766] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,766] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,766] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:45,767] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:45,768] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:45,768] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:45,768] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,768] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,768] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,769] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>, inlined by default
[2023-11-01 20:50:45,769] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:109 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,769] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:45,770] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:116 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,770] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not torch.jit.is_scripting():
[2023-11-01 20:50:45,770] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,770] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,771] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:45,771] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:45,771] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,771] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:118 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,771] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 is_dynamo_compiling = check_if_dynamo_compiling()
[2023-11-01 20:50:45,771] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL check_if_dynamo_compiling []
[2023-11-01 20:50:45,772] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [UserFunctionVariable()]
[2023-11-01 20:50:45,772] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>, inlined by default
[2023-11-01 20:50:45,773] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:41 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,773] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     def check_if_dynamo_compiling():
[2023-11-01 20:50:45,773] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:42 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,773] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if TORCH_VERSION >= (1, 14):
[2023-11-01 20:50:45,773] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL TORCH_VERSION []
[2023-11-01 20:50:45,773] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 14) [TupleVariable()]
[2023-11-01 20:50:45,774] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP >= [TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,774] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 26 [ConstantVariable(bool)]
[2023-11-01 20:50:45,774] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:43 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,774] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             from torch._dynamo import is_compiling
[2023-11-01 20:50:45,774] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 []
[2023-11-01 20:50:45,774] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('is_compiling',) [ConstantVariable(int)]
[2023-11-01 20:50:45,774] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_NAME torch._dynamo [ConstantVariable(int), TupleVariable()]
[2023-11-01 20:50:45,774] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_FROM is_compiling [PythonModuleVariable()]
[2023-11-01 20:50:45,775] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_compiling [PythonModuleVariable(), TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:45,775] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [PythonModuleVariable()]
[2023-11-01 20:50:45,775] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:45 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,775] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return is_compiling()
[2023-11-01 20:50:45,775] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_compiling []
[2023-11-01 20:50:45,775] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:45,776] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(bool)]
[2023-11-01 20:50:45,776] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>
[2023-11-01 20:50:45,776] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_dynamo_compiling [ConstantVariable(bool)]
[2023-11-01 20:50:45,776] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:119 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,776] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if not is_dynamo_compiling:
[2023-11-01 20:50:45,776] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_dynamo_compiling []
[2023-11-01 20:50:45,776] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,776] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,776] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:45,776] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:45,777] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2d [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:45,777] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,777] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:45,777] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:45,777] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:45,777] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,778] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv3.weight (256, 64, 1, 1) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:45,780] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,780] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,780] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,780] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stride [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), NNModuleVariable()]
[2023-11-01 20:50:45,781] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable()]
[2023-11-01 20:50:45,781] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR padding [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,782] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,782] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dilation [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,783] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,783] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR groups [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,783] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,783] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:45,783] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:45,786] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:45,786] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:130 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,786] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.norm is not None:
[2023-11-01 20:50:45,787] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,787] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:45,787] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [NNModuleVariable()]
[2023-11-01 20:50:45,787] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [NNModuleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,788] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 160 [ConstantVariable(bool)]
[2023-11-01 20:50:45,788] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:131 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,788] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x = self.norm(x)
[2023-11-01 20:50:45,788] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,788] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:45,788] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:45,788] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:45,789] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:45,792] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,792] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:45,793] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,793] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:45,793] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,793] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,794] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:45,794] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:45,794] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,795] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,795] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:45,795] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:45,795] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,795] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,795] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,795] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,796] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,796] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,796] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,797] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,797] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,797] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,797] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,798] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,798] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,798] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,798] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,798] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,798] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,799] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,800] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,800] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:45,800] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:45,800] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:45,800] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:45,800] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,800] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,800] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,801] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>, inlined by default
[2023-11-01 20:50:45,802] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:45 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,802] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:45,802] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:46 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,802] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if x.requires_grad:
[2023-11-01 20:50:45,802] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:45,802] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR requires_grad [TensorVariable()]
[2023-11-01 20:50:45,802] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,802] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,802] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:45,803] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:45,803] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR batch_norm [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:45,804] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:59 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,804] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     x,
[2023-11-01 20:50:45,804] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>)]
[2023-11-01 20:50:45,804] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,804] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_mean,
[2023-11-01 20:50:45,804] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable()]
[2023-11-01 20:50:45,804] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_mean [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,805] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv3.norm.running_mean (256,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,806] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,806] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_var,
[2023-11-01 20:50:45,806] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,807] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_var [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,807] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv3.norm.running_var (256,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,808] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,808] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.weight,
[2023-11-01 20:50:45,808] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,808] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,809] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv3.norm.weight (256,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,810] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,810] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.bias,
[2023-11-01 20:50:45,810] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,811] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,811] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].conv3.norm.bias (256,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,812] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:64 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,812] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     training=False,
[2023-11-01 20:50:45,812] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,812] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:65 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,812] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     eps=self.eps,
[2023-11-01 20:50:45,812] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:45,812] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eps [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), NNModuleVariable()]
[2023-11-01 20:50:45,813] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,813] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:45,813] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('training', 'eps') [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float)]
[2023-11-01 20:50:45,813] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 7 [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float), TupleVariable()]
[2023-11-01 20:50:45,831] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,831] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>
[2023-11-01 20:50:45,832] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,832] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:45,832] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:45,832] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:132 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,832] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.activation is not None:
[2023-11-01 20:50:45,832] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,833] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR activation [NNModuleVariable()]
[2023-11-01 20:50:45,833] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,833] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [ConstantVariable(NoneType), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,833] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 180 [ConstantVariable(bool)]
[2023-11-01 20:50:45,834] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:134 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,834] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return x
[2023-11-01 20:50:45,834] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:45,834] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,834] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>
[2023-11-01 20:50:45,834] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,834] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:45,835] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out [TensorVariable()]
[2023-11-01 20:50:45,835] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:203 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:45,835] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.shortcut is not None:
[2023-11-01 20:50:45,835] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,835] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shortcut [NNModuleVariable()]
[2023-11-01 20:50:45,836] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [NNModuleVariable()]
[2023-11-01 20:50:45,836] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [NNModuleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,836] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 72 [ConstantVariable(bool)]
[2023-11-01 20:50:45,836] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:204 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:45,836] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 shortcut = self.shortcut(x)
[2023-11-01 20:50:45,836] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,836] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shortcut [NNModuleVariable()]
[2023-11-01 20:50:45,837] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:45,837] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:45,838] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:45,841] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,841] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:45,842] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,842] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:45,842] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,842] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,843] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:45,843] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:45,843] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,844] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,844] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:45,844] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:45,844] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,844] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,844] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,844] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,845] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,845] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,845] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,846] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,846] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,846] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,846] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,847] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,847] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,847] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,847] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,847] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,847] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,848] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:45,849] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,849] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,849] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,849] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:45,849] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:45,849] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:45,849] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:45,849] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:45,849] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,849] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,849] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,850] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>, inlined by default
[2023-11-01 20:50:45,851] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:109 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,851] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:45,851] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:116 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,851] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not torch.jit.is_scripting():
[2023-11-01 20:50:45,851] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,852] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR jit [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,852] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR is_scripting [TorchVariable(<module 'torch.jit' from '/home/dberard/local/pytorch/torch/jit/__init__.py'>)]
[2023-11-01 20:50:45,852] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_scripting at 0x7fe241b135b0>)]
[2023-11-01 20:50:45,852] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,853] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:118 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,853] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 is_dynamo_compiling = check_if_dynamo_compiling()
[2023-11-01 20:50:45,853] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL check_if_dynamo_compiling []
[2023-11-01 20:50:45,853] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [UserFunctionVariable()]
[2023-11-01 20:50:45,854] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>, inlined by default
[2023-11-01 20:50:45,854] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:41 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,854] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]     def check_if_dynamo_compiling():
[2023-11-01 20:50:45,854] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:42 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,854] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         if TORCH_VERSION >= (1, 14):
[2023-11-01 20:50:45,854] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL TORCH_VERSION []
[2023-11-01 20:50:45,855] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 14) [TupleVariable()]
[2023-11-01 20:50:45,855] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP >= [TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,855] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 26 [ConstantVariable(bool)]
[2023-11-01 20:50:45,855] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:43 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,855] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             from torch._dynamo import is_compiling
[2023-11-01 20:50:45,855] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 []
[2023-11-01 20:50:45,855] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('is_compiling',) [ConstantVariable(int)]
[2023-11-01 20:50:45,855] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_NAME torch._dynamo [ConstantVariable(int), TupleVariable()]
[2023-11-01 20:50:45,855] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IMPORT_FROM is_compiling [PythonModuleVariable()]
[2023-11-01 20:50:45,856] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_compiling [PythonModuleVariable(), TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:45,856] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [PythonModuleVariable()]
[2023-11-01 20:50:45,856] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:45 in check_if_dynamo_compiling (check_if_dynamo_compiling) (inline depth: 3)
[2023-11-01 20:50:45,856] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return is_compiling()
[2023-11-01 20:50:45,856] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_compiling []
[2023-11-01 20:50:45,856] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<function is_compiling at 0x7fe21d58cd30>)]
[2023-11-01 20:50:45,857] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(bool)]
[2023-11-01 20:50:45,857] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object check_if_dynamo_compiling at 0x7fe1f0d77aa0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 41>
[2023-11-01 20:50:45,857] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST is_dynamo_compiling [ConstantVariable(bool)]
[2023-11-01 20:50:45,857] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:119 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,857] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 if not is_dynamo_compiling:
[2023-11-01 20:50:45,857] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST is_dynamo_compiling []
[2023-11-01 20:50:45,857] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,857] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,857] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:45,857] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:45,858] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv2d [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:45,858] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,858] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:45,858] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:45,858] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:45,858] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,859] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].shortcut.weight (256, 64, 1, 1) [<DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, None, None, None]
[2023-11-01 20:50:45,861] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,861] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,861] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,861] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stride [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), NNModuleVariable()]
[2023-11-01 20:50:45,862] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable()]
[2023-11-01 20:50:45,862] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR padding [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,863] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,863] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dilation [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,864] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable()]
[2023-11-01 20:50:45,864] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR groups [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,864] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,864] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             x = F.conv2d(
[2023-11-01 20:50:45,864] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(<built-in method conv2d of type object at 0x7fe2ae3e5f40>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), TupleVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
[2023-11-01 20:50:45,867] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:45,867] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:130 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,867] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.norm is not None:
[2023-11-01 20:50:45,867] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,868] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:45,868] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [NNModuleVariable()]
[2023-11-01 20:50:45,868] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [NNModuleVariable(), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,868] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 160 [ConstantVariable(bool)]
[2023-11-01 20:50:45,869] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:131 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,869] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 x = self.norm(x)
[2023-11-01 20:50:45,869] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,869] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR norm [NNModuleVariable()]
[2023-11-01 20:50:45,869] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:45,869] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:45,870] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:45,873] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,873] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:45,873] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,873] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:45,873] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:45,874] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:45,875] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:45,875] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:45,875] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,875] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,875] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:45,876] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:45,876] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,876] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,876] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,876] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,877] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,877] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,877] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,877] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,878] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,878] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,878] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,878] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,878] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,879] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_pre_hooks []
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1528 in _call_impl (Module._call_impl) (inline depth: 3)
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return forward_call(*args, **kwargs)
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST forward_call []
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable())]
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_MAP 0 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable()]
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,880] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE DICT_MERGE 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,881] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserMethodVariable(<function FrozenBatchNorm2d.forward at 0x7fe1f0d80dc0>, NNModuleVariable()), TupleVariable(), ConstDictVariable()]
[2023-11-01 20:50:45,882] [10/0] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>, inlined by default
[2023-11-01 20:50:45,882] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:45 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,882] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:45,882] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:46 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,882] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if x.requires_grad:
[2023-11-01 20:50:45,882] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:45,882] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR requires_grad [TensorVariable()]
[2023-11-01 20:50:45,883] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 106 [ConstantVariable(bool)]
[2023-11-01 20:50:45,883] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,883] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:45,883] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:45,884] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR batch_norm [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:45,884] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:59 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,884] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     x,
[2023-11-01 20:50:45,884] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>)]
[2023-11-01 20:50:45,884] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,884] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_mean,
[2023-11-01 20:50:45,884] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable()]
[2023-11-01 20:50:45,884] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_mean [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,885] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].shortcut.norm.running_mean (256,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,886] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,886] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.running_var,
[2023-11-01 20:50:45,887] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,887] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR running_var [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,887] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].shortcut.norm.running_var (256,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,888] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,888] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.weight,
[2023-11-01 20:50:45,888] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,888] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR weight [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,889] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].shortcut.norm.weight (256,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,890] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,890] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     self.bias,
[2023-11-01 20:50:45,890] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,890] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bias [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), NNModuleVariable()]
[2023-11-01 20:50:45,891] [10/0] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['self'].shortcut.norm.bias (256,) [<DimDynamic.STATIC: 2>] [None]
[2023-11-01 20:50:45,892] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:64 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,892] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     training=False,
[2023-11-01 20:50:45,892] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,892] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:65 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,892] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     eps=self.eps,
[2023-11-01 20:50:45,892] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
[2023-11-01 20:50:45,892] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eps [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), NNModuleVariable()]
[2023-11-01 20:50:45,893] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58 in forward (FrozenBatchNorm2d.forward) (inline depth: 4)
[2023-11-01 20:50:45,893] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                 return F.batch_norm(
[2023-11-01 20:50:45,893] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('training', 'eps') [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float)]
[2023-11-01 20:50:45,893] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 7 [TorchVariable(<function batch_norm at 0x7fe241b1f1c0>), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(float), TupleVariable()]
[2023-11-01 20:50:45,910] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,911] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f65b4660, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py", line 45>
[2023-11-01 20:50:45,911] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,911] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:45,912] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
[2023-11-01 20:50:45,912] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:132 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,912] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if self.activation is not None:
[2023-11-01 20:50:45,912] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:45,912] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR activation [NNModuleVariable()]
[2023-11-01 20:50:45,912] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(NoneType)]
[2023-11-01 20:50:45,913] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE IS_OP 1 [ConstantVariable(NoneType), ConstantVariable(NoneType)]
[2023-11-01 20:50:45,913] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 180 [ConstantVariable(bool)]
[2023-11-01 20:50:45,913] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:134 in forward (Conv2d.forward) (inline depth: 2)
[2023-11-01 20:50:45,913] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return x
[2023-11-01 20:50:45,913] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
[2023-11-01 20:50:45,913] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,913] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7fe1f0d840e0, file "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py", line 109>
[2023-11-01 20:50:45,913] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,913] [10/0] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>
[2023-11-01 20:50:45,914] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST shortcut [TensorVariable()]
[2023-11-01 20:50:45,914] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_FORWARD 76 []
[2023-11-01 20:50:45,914] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:208 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:45,914] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             out += shortcut
[2023-11-01 20:50:45,914] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out []
[2023-11-01 20:50:45,914] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST shortcut [TensorVariable()]
[2023-11-01 20:50:45,914] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), TensorVariable()]
[2023-11-01 20:50:45,916] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out [TensorVariable()]
[2023-11-01 20:50:45,916] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:209 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:45,916] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             out = F.relu_(out)
[2023-11-01 20:50:45,917] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
[2023-11-01 20:50:45,917] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch.nn.functional' from '/home/dberard/local/pytorch/torch/nn/functional.py'>)]
[2023-11-01 20:50:45,918] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>)]
[2023-11-01 20:50:45,918] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu_ of type object at 0x7fe2ae3e5f40>), TensorVariable()]
[2023-11-01 20:50:45,919] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out [TensorVariable()]
[2023-11-01 20:50:45,920] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:210 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:45,920] [10/0] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             return out
[2023-11-01 20:50:45,920] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out []
[2023-11-01 20:50:45,920] [10/0] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
[2023-11-01 20:50:45,920] [10/0] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo done tracing forward (RETURN_VALUE)
[2023-11-01 20:50:45,920] [10/0] torch._dynamo.symbolic_convert: [DEBUG] RETURN_VALUE triggered compile
[2023-11-01 20:50:45,920] [10/0] torch._dynamo.output_graph: [DEBUG] COMPILING GRAPH due to GraphCompileReason(reason='return_value', user_stack=[<FrameSummary file /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py, line 210 in forward>], graph_break=False)
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  ===== __compiled_fn_13 =====
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]  <eval_with_key>.109 class GraphModule(torch.nn.Module):
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]     def forward(self, L_x_ : torch.Tensor):
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l_x_ = L_x_
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128, code: x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv1_weight = self.L__self___conv1_weight
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         x = torch.conv2d(l_x_, l__self___conv1_weight, None, (1, 1), (0, 0), (1, 1), 1);  l__self___conv1_weight = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60, code: self.running_mean,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv1_norm_running_mean = self.L__self___conv1_norm_running_mean
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61, code: self.running_var,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv1_norm_running_var = self.L__self___conv1_norm_running_var
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62, code: self.weight,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv1_norm_weight = self.L__self___conv1_norm_weight
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63, code: self.bias,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv1_norm_bias = self.L__self___conv1_norm_bias
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58, code: return F.batch_norm(
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         out = torch.nn.functional.batch_norm(x, l__self___conv1_norm_running_mean, l__self___conv1_norm_running_var, l__self___conv1_norm_weight, l__self___conv1_norm_bias, training = False, eps = 1e-05);  x = l__self___conv1_norm_running_mean = l__self___conv1_norm_running_var = l__self___conv1_norm_weight = l__self___conv1_norm_bias = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:196, code: out = F.relu_(out)
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         out_1 = torch.relu_(out);  out = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128, code: x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv2_weight = self.L__self___conv2_weight
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         x_2 = torch.conv2d(out_1, l__self___conv2_weight, None, (1, 1), (1, 1), (1, 1), 1);  out_1 = l__self___conv2_weight = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60, code: self.running_mean,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv2_norm_running_mean = self.L__self___conv2_norm_running_mean
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61, code: self.running_var,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv2_norm_running_var = self.L__self___conv2_norm_running_var
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62, code: self.weight,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv2_norm_weight = self.L__self___conv2_norm_weight
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63, code: self.bias,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv2_norm_bias = self.L__self___conv2_norm_bias
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58, code: return F.batch_norm(
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         out_2 = torch.nn.functional.batch_norm(x_2, l__self___conv2_norm_running_mean, l__self___conv2_norm_running_var, l__self___conv2_norm_weight, l__self___conv2_norm_bias, training = False, eps = 1e-05);  x_2 = l__self___conv2_norm_running_mean = l__self___conv2_norm_running_var = l__self___conv2_norm_weight = l__self___conv2_norm_bias = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:199, code: out = F.relu_(out)
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         out_3 = torch.relu_(out_2);  out_2 = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128, code: x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv3_weight = self.L__self___conv3_weight
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         x_4 = torch.conv2d(out_3, l__self___conv3_weight, None, (1, 1), (0, 0), (1, 1), 1);  out_3 = l__self___conv3_weight = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60, code: self.running_mean,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv3_norm_running_mean = self.L__self___conv3_norm_running_mean
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61, code: self.running_var,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv3_norm_running_var = self.L__self___conv3_norm_running_var
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62, code: self.weight,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv3_norm_weight = self.L__self___conv3_norm_weight
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63, code: self.bias,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___conv3_norm_bias = self.L__self___conv3_norm_bias
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58, code: return F.batch_norm(
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         out_4 = torch.nn.functional.batch_norm(x_4, l__self___conv3_norm_running_mean, l__self___conv3_norm_running_var, l__self___conv3_norm_weight, l__self___conv3_norm_bias, training = False, eps = 1e-05);  x_4 = l__self___conv3_norm_running_mean = l__self___conv3_norm_running_var = l__self___conv3_norm_weight = l__self___conv3_norm_bias = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:128, code: x, self.weight, self.bias, self.stride, self.padding, self.dilation, self.groups
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___shortcut_weight = self.L__self___shortcut_weight
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         x_6 = torch.conv2d(l_x_, l__self___shortcut_weight, None, (1, 1), (0, 0), (1, 1), 1);  l_x_ = l__self___shortcut_weight = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:60, code: self.running_mean,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___shortcut_norm_running_mean = self.L__self___shortcut_norm_running_mean
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:61, code: self.running_var,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___shortcut_norm_running_var = self.L__self___shortcut_norm_running_var
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:62, code: self.weight,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___shortcut_norm_weight = self.L__self___shortcut_norm_weight
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:63, code: self.bias,
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         l__self___shortcut_norm_bias = self.L__self___shortcut_norm_bias
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/batch_norm.py:58, code: return F.batch_norm(
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         shortcut = torch.nn.functional.batch_norm(x_6, l__self___shortcut_norm_running_mean, l__self___shortcut_norm_running_var, l__self___shortcut_norm_weight, l__self___shortcut_norm_bias, training = False, eps = 1e-05);  x_6 = l__self___shortcut_norm_running_mean = l__self___shortcut_norm_running_var = l__self___shortcut_norm_weight = l__self___shortcut_norm_bias = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:208, code: out += shortcut
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         out_4 += shortcut;  out_5 = out_4;  out_4 = shortcut = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:209, code: out = F.relu_(out)
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         out_6 = torch.relu_(out_5);  out_5 = None
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         return (out_6,)
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG]         
[2023-11-01 20:50:45,925] [10/0] torch._dynamo.output_graph.__graph_code: [DEBUG] 
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG]  __compiled_fn_13 <eval_with_key>.109 opcode         name                                  target                                                     args                                                                                                                                            kwargs
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] -------------  ------------------------------------  ---------------------------------------------------------  ----------------------------------------------------------------------------------------------------------------------------------------------  ---------------------------------
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] placeholder    l_x_                                  L_x_                                                       ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv1_weight                L__self___conv1_weight                                     ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  x                                     <built-in method conv2d of type object at 0x7fe2ae3e5f40>  (l_x_, l__self___conv1_weight, None, (1, 1), (0, 0), (1, 1), 1)                                                                                 {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv1_norm_running_mean     L__self___conv1_norm_running_mean                          ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv1_norm_running_var      L__self___conv1_norm_running_var                           ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv1_norm_weight           L__self___conv1_norm_weight                                ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv1_norm_bias             L__self___conv1_norm_bias                                  ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  out                                   <function batch_norm at 0x7fe241b1f1c0>                    (x, l__self___conv1_norm_running_mean, l__self___conv1_norm_running_var, l__self___conv1_norm_weight, l__self___conv1_norm_bias)                {'training': False, 'eps': 1e-05}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  out_1                                 <built-in method relu_ of type object at 0x7fe2ae3e5f40>   (out,)                                                                                                                                          {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv2_weight                L__self___conv2_weight                                     ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  x_2                                   <built-in method conv2d of type object at 0x7fe2ae3e5f40>  (out_1, l__self___conv2_weight, None, (1, 1), (1, 1), (1, 1), 1)                                                                                {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv2_norm_running_mean     L__self___conv2_norm_running_mean                          ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv2_norm_running_var      L__self___conv2_norm_running_var                           ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv2_norm_weight           L__self___conv2_norm_weight                                ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv2_norm_bias             L__self___conv2_norm_bias                                  ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  out_2                                 <function batch_norm at 0x7fe241b1f1c0>                    (x_2, l__self___conv2_norm_running_mean, l__self___conv2_norm_running_var, l__self___conv2_norm_weight, l__self___conv2_norm_bias)              {'training': False, 'eps': 1e-05}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  out_3                                 <built-in method relu_ of type object at 0x7fe2ae3e5f40>   (out_2,)                                                                                                                                        {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv3_weight                L__self___conv3_weight                                     ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  x_4                                   <built-in method conv2d of type object at 0x7fe2ae3e5f40>  (out_3, l__self___conv3_weight, None, (1, 1), (0, 0), (1, 1), 1)                                                                                {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv3_norm_running_mean     L__self___conv3_norm_running_mean                          ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv3_norm_running_var      L__self___conv3_norm_running_var                           ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv3_norm_weight           L__self___conv3_norm_weight                                ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___conv3_norm_bias             L__self___conv3_norm_bias                                  ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  out_4                                 <function batch_norm at 0x7fe241b1f1c0>                    (x_4, l__self___conv3_norm_running_mean, l__self___conv3_norm_running_var, l__self___conv3_norm_weight, l__self___conv3_norm_bias)              {'training': False, 'eps': 1e-05}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___shortcut_weight             L__self___shortcut_weight                                  ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  x_6                                   <built-in method conv2d of type object at 0x7fe2ae3e5f40>  (l_x_, l__self___shortcut_weight, None, (1, 1), (0, 0), (1, 1), 1)                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___shortcut_norm_running_mean  L__self___shortcut_norm_running_mean                       ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___shortcut_norm_running_var   L__self___shortcut_norm_running_var                        ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___shortcut_norm_weight        L__self___shortcut_norm_weight                             ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] get_attr       l__self___shortcut_norm_bias          L__self___shortcut_norm_bias                               ()                                                                                                                                              {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  shortcut                              <function batch_norm at 0x7fe241b1f1c0>                    (x_6, l__self___shortcut_norm_running_mean, l__self___shortcut_norm_running_var, l__self___shortcut_norm_weight, l__self___shortcut_norm_bias)  {'training': False, 'eps': 1e-05}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  out_5                                 <built-in function iadd>                                   (out_4, shortcut)                                                                                                                               {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] call_function  out_6                                 <built-in method relu_ of type object at 0x7fe2ae3e5f40>   (out_5,)                                                                                                                                        {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] output         output                                output                                                     ((out_6,),)                                                                                                                                     {}
[2023-11-01 20:50:45,930] [10/0] torch._dynamo.output_graph.__graph: [DEBUG] 
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] TRACED GRAPH TENSOR SIZES
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] ===== __compiled_fn_13 =====
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l_x_: (1, 64, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv1_weight: (64, 64, 1, 1)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] x: (1, 64, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv1_norm_running_mean: (64,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv1_norm_running_var: (64,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv1_norm_weight: (64,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv1_norm_bias: (64,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] out: (1, 64, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] out_1: (1, 64, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv2_weight: (64, 64, 3, 3)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] x_2: (1, 64, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv2_norm_running_mean: (64,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv2_norm_running_var: (64,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv2_norm_weight: (64,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv2_norm_bias: (64,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] out_2: (1, 64, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] out_3: (1, 64, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv3_weight: (256, 64, 1, 1)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] x_4: (1, 256, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv3_norm_running_mean: (256,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv3_norm_running_var: (256,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv3_norm_weight: (256,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___conv3_norm_bias: (256,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] out_4: (1, 256, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___shortcut_weight: (256, 64, 1, 1)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] x_6: (1, 256, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___shortcut_norm_running_mean: (256,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___shortcut_norm_running_var: (256,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___shortcut_norm_weight: (256,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] l__self___shortcut_norm_bias: (256,)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] shortcut: (1, 256, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] out_5: (1, 256, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] out_6: (1, 256, 200, 304)
[2023-11-01 20:50:45,931] [10/0] torch._dynamo.output_graph.__graph_sizes: [DEBUG] 
[2023-11-01 20:50:45,932] [10/0] torch._dynamo.output_graph: [INFO] Step 2: calling compiler function inductor
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG] TRACED GRAPH
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]  ===== FROZEN GRAPH =====
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]  <eval_with_key>.125 class <lambda>(torch.nn.Module):
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]     def forward(self, arg20_1: f16[1, 64, 200, 304]):
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # No stacktrace found for following nodes
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         _frozen_param57: f16[64, 64, 1, 1] = self._frozen_param57
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         _frozen_param58: f16[64] = self._frozen_param58
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         convolution_default_15: f16[1, 64, 200, 304] = torch.ops.aten.convolution.default(arg20_1, _frozen_param57, _frozen_param58, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  _frozen_param57 = _frozen_param58 = None
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:196, code: out = F.relu_(out)
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         relu: f16[1, 64, 200, 304] = torch.ops.aten.relu.default(convolution_default_15);  convolution_default_15 = None
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # No stacktrace found for following nodes
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         _frozen_param59: f16[64, 64, 3, 3] = self._frozen_param59
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         _frozen_param60: f16[64] = self._frozen_param60
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         convolution_default_14: f16[1, 64, 200, 304] = torch.ops.aten.convolution.default(relu, _frozen_param59, _frozen_param60, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  relu = _frozen_param59 = _frozen_param60 = None
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:199, code: out = F.relu_(out)
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         relu_1: f16[1, 64, 200, 304] = torch.ops.aten.relu.default(convolution_default_14);  convolution_default_14 = None
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # No stacktrace found for following nodes
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         _frozen_param61: f16[256, 64, 1, 1] = self._frozen_param61
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         _frozen_param62: f16[256] = self._frozen_param62
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         convolution_default_13: f16[1, 256, 200, 304] = torch.ops.aten.convolution.default(relu_1, _frozen_param61, _frozen_param62, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  relu_1 = _frozen_param61 = _frozen_param62 = None
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # No stacktrace found for following nodes
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         _frozen_param63: f16[256, 64, 1, 1] = self._frozen_param63
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         _frozen_param64: f16[256] = self._frozen_param64
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         convolution_default_12: f16[1, 256, 200, 304] = torch.ops.aten.convolution.default(arg20_1, _frozen_param63, _frozen_param64, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  arg20_1 = _frozen_param63 = _frozen_param64 = None
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:208, code: out += shortcut
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         add_8: f16[1, 256, 200, 304] = torch.ops.aten.add.Tensor(convolution_default_13, convolution_default_12);  convolution_default_13 = convolution_default_12 = None
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:209, code: out = F.relu_(out)
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         relu_2: f16[1, 256, 200, 304] = torch.ops.aten.relu.default(add_8);  add_8 = None
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         # No stacktrace found for following nodes
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         inductor_force_stride_order_default: f16[1, 256, 200, 304] = torch.ops.prims.inductor_force_stride_order.default(relu_2, (15564800, 60800, 304, 1));  relu_2 = None
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         return (inductor_force_stride_order_default,)
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG]         
[2023-11-01 20:50:47,076] [10/0] torch._inductor.freezing: [DEBUG] 
[2023-11-01 20:50:47,080] [10/0] torch._inductor.compile_fx: [INFO] Step 3: torchinductor compiling FORWARDS graph 5
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO] TRACED GRAPH
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]  ===== AFTER POST GRAD =====
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]  <eval_with_key>.126 class <lambda>(torch.nn.Module):
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]     def forward(self, arg20_1: f16[1, 64, 200, 304]):
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # No stacktrace found for following nodes
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param57: f16[64, 64, 1, 1] = self._frozen_param57
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param58: f16[64] = self._frozen_param58
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param59: f16[64, 64, 3, 3] = self._frozen_param59
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param60: f16[64] = self._frozen_param60
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param61: f16[256, 64, 1, 1] = self._frozen_param61
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param62: f16[256] = self._frozen_param62
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param63: f16[256, 64, 1, 1] = self._frozen_param63
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         _frozen_param64: f16[256] = self._frozen_param64
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         convolution_default_15: f16[1, 64, 200, 304] = torch.ops.aten.convolution.default(arg20_1, _frozen_param57, _frozen_param58, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  _frozen_param57 = _frozen_param58 = None
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:196, code: out = F.relu_(out)
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         relu: f16[1, 64, 200, 304] = torch.ops.aten.relu.default(convolution_default_15);  convolution_default_15 = None
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         convolution_default_14: f16[1, 64, 200, 304] = torch.ops.aten.convolution.default(relu, _frozen_param59, _frozen_param60, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  relu = _frozen_param59 = _frozen_param60 = None
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:199, code: out = F.relu_(out)
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         relu_1: f16[1, 64, 200, 304] = torch.ops.aten.relu.default(convolution_default_14);  convolution_default_14 = None
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         convolution_default_13: f16[1, 256, 200, 304] = torch.ops.aten.convolution.default(relu_1, _frozen_param61, _frozen_param62, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  relu_1 = _frozen_param61 = _frozen_param62 = None
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/layers/wrappers.py:127, code: x = F.conv2d(
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         convolution_default_12: f16[1, 256, 200, 304] = torch.ops.aten.convolution.default(arg20_1, _frozen_param63, _frozen_param64, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  arg20_1 = _frozen_param63 = _frozen_param64 = None
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:208, code: out += shortcut
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         add_8: f16[1, 256, 200, 304] = torch.ops.aten.add.Tensor(convolution_default_13, convolution_default_12);  convolution_default_13 = convolution_default_12 = None
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # File: /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:209, code: out = F.relu_(out)
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         relu_2: f16[1, 256, 200, 304] = torch.ops.aten.relu.default(add_8);  add_8 = None
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         # No stacktrace found for following nodes
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         inductor_force_stride_order_default: f16[1, 256, 200, 304] = torch.ops.prims.inductor_force_stride_order.default(relu_2, (15564800, 60800, 304, 1));  relu_2 = None
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         return (inductor_force_stride_order_default,)
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO]         
[2023-11-01 20:50:47,118] [10/0] torch._inductor.compile_fx.__post_grad_graphs: [INFO] 
[2023-11-01 20:50:47,122] [10/0] torch._inductor.graph: [DEBUG] lowering %arg20_1 : [num_users=2] = placeholder[target=arg20_1]
[2023-11-01 20:50:47,123] [10/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param57 : [num_users=1] = get_attr[target=_frozen_param57]
[2023-11-01 20:50:47,137] [10/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param58 : [num_users=1] = get_attr[target=_frozen_param58]
[2023-11-01 20:50:47,139] [10/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param59 : [num_users=1] = get_attr[target=_frozen_param59]
[2023-11-01 20:50:47,184] [10/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param60 : [num_users=1] = get_attr[target=_frozen_param60]
[2023-11-01 20:50:47,185] [10/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param61 : [num_users=1] = get_attr[target=_frozen_param61]
[2023-11-01 20:50:47,199] [10/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param62 : [num_users=1] = get_attr[target=_frozen_param62]
[2023-11-01 20:50:47,200] [10/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param63 : [num_users=1] = get_attr[target=_frozen_param63]
[2023-11-01 20:50:47,214] [10/0] torch._inductor.graph: [DEBUG] lowering %_frozen_param64 : [num_users=1] = get_attr[target=_frozen_param64]
[2023-11-01 20:50:47,215] [10/0] torch._inductor.graph: [DEBUG] lowering %convolution_default_15 : [num_users=1] = call_function[target=torch.ops.aten.convolution.default](args = (%arg20_1, %_frozen_param57, %_frozen_param58, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
[2023-11-01 20:50:47,220] [10/0] torch._inductor.select_algorithm: [INFO] Max autotune selects from 1 choices.
[2023-11-01 20:50:47,223] [10/0] torch._inductor.graph: [DEBUG] lowering %relu : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%convolution_default_15,), kwargs = {})
[2023-11-01 20:50:47,225] [10/0] torch._inductor.graph: [DEBUG] lowering %convolution_default_14 : [num_users=1] = call_function[target=torch.ops.aten.convolution.default](args = (%relu, %_frozen_param59, %_frozen_param60, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), kwargs = {})
[2023-11-01 20:50:47,229] [10/0] torch._inductor.select_algorithm: [INFO] Max autotune selects from 1 choices.
[2023-11-01 20:50:47,231] [10/0] torch._inductor.graph: [DEBUG] lowering %relu_1 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%convolution_default_14,), kwargs = {})
[2023-11-01 20:50:47,233] [10/0] torch._inductor.graph: [DEBUG] lowering %convolution_default_13 : [num_users=1] = call_function[target=torch.ops.aten.convolution.default](args = (%relu_1, %_frozen_param61, %_frozen_param62, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
[2023-11-01 20:50:47,237] [10/0] torch._inductor.select_algorithm: [INFO] Max autotune selects from 1 choices.
[2023-11-01 20:50:47,239] [10/0] torch._inductor.graph: [DEBUG] lowering %convolution_default_12 : [num_users=1] = call_function[target=torch.ops.aten.convolution.default](args = (%arg20_1, %_frozen_param63, %_frozen_param64, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {})
[2023-11-01 20:50:47,242] [10/0] torch._inductor.select_algorithm: [INFO] Max autotune selects from 1 choices.
[2023-11-01 20:50:47,245] [10/0] torch._inductor.graph: [DEBUG] lowering %add_8 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%convolution_default_13, %convolution_default_12), kwargs = {})
[2023-11-01 20:50:47,247] [10/0] torch._inductor.graph: [DEBUG] lowering %relu_2 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%add_8,), kwargs = {})
[2023-11-01 20:50:47,249] [10/0] torch._inductor.graph: [DEBUG] lowering %inductor_force_stride_order_default : [num_users=1] = call_function[target=torch.ops.prims.inductor_force_stride_order.default](args = (%relu_2, (15564800, 60800, 304, 1)), kwargs = {})
[2023-11-01 20:50:47,251] [10/0] torch._inductor.graph: [DEBUG] lowering return (inductor_force_stride_order_default,)
[2023-11-01 20:50:47,251] [10/0] torch._inductor.graph: [DEBUG] Force channels last inputs for 4 conv for the current graph with id 5
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG] scheduling ComputedBuffer(name='buf0', layout=FixedLayout('cuda', torch.float16, size=[1, 64, 200, 304], stride=[3891200, 1, 19456, 64]), data=Pointwise(
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG]   'cuda',
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG]   torch.float16,
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG]   def inner_fn(index):
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG]       _, i1, i2, i3 = index
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG]       tmp0 = ops.load(arg20_1, i3 + 304 * i2 + 60800 * i1)
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG]       return tmp0
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG]   ,
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG]   ranges=[1, 64, 200, 304],
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG]   origin_node=arg20_1,
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG]   origins={convolution_default_15}
[2023-11-01 20:50:47,279] [10/0] torch._inductor.scheduler: [DEBUG] ))
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG] scheduling ExternKernelAlloc(
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]   kernel='extern_kernels.convolution',
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]   name=buf1,
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]   layout=FixedLayout('cuda', torch.float16, size=[1, 64, 200, 304], stride=[3891200, 60800, 304, 1]),
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]   inputs=[ComputedBuffer(name='buf0', layout=FixedLayout('cuda', torch.float16, size=[1, 64, 200, 304], stride=[3891200, 1, 19456, 64]), data=Pointwise(
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]     'cuda',
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]     torch.float16,
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]     def inner_fn(index):
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]         _, i1, i2, i3 = index
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]         tmp0 = ops.load(arg20_1, i3 + 304 * i2 + 60800 * i1)
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]         return tmp0
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]     ,
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]     ranges=[1, 64, 200, 304],
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]     origin_node=arg20_1,
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]     origins={convolution_default_15}
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]   )), ConstantBuffer(name='_frozen_param57', layout=FixedLayout('cuda', torch.float16, size=[64, 64, 1, 1], stride=[64, 1, 1, 1]))],
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]   constant_args=(),
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]   kwargs={'stride': (1, 1), 'padding': (0, 0), 'dilation': (1, 1), 'transposed': False, 'output_padding': (0, 0), 'groups': 1, 'bias': None},
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]   output_view=None,
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]   ordered_kwargs_for_cpp_kernel=['bias', 'stride', 'padding', 'dilation', 'transposed', 'output_padding', 'groups'],
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]   origin_node=None,
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG]   origins={convolution_default_15}
[2023-11-01 20:50:47,280] [10/0] torch._inductor.scheduler: [DEBUG] )
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG] scheduling ComputedBuffer(name='buf2', layout=FixedLayout('cuda', torch.float16, size=[1, 64, 200, 304], stride=[3891200, 1, 19456, 64]), data=Pointwise(
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   'cuda',
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   torch.float16,
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   def inner_fn(index):
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]       _, i1, i2, i3 = index
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]       tmp0 = ops.load(buf1, i3 + 304 * i2 + 60800 * i1)
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]       tmp1 = ops.load(_frozen_param58, i1)
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]       tmp2 = tmp0 + tmp1
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]       tmp3 = ops.relu(tmp2)
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]       return tmp3
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   ,
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   ranges=[1, 64, 200, 304],
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   origin_node=relu,
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   origins={relu, convolution_default_15}
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG] ))
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG] scheduling ExternKernelAlloc(
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   kernel='extern_kernels.convolution',
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   name=buf3,
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   layout=FixedLayout('cuda', torch.float16, size=[1, 64, 200, 304], stride=[3891200, 60800, 304, 1]),
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   inputs=[ComputedBuffer(name='buf2', layout=FixedLayout('cuda', torch.float16, size=[1, 64, 200, 304], stride=[3891200, 1, 19456, 64]), data=Pointwise(
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]     'cuda',
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]     torch.float16,
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]     def inner_fn(index):
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]         _, i1, i2, i3 = index
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]         tmp0 = ops.load(buf1, i3 + 304 * i2 + 60800 * i1)
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]         tmp1 = ops.load(_frozen_param58, i1)
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]         tmp2 = tmp0 + tmp1
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]         tmp3 = ops.relu(tmp2)
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]         return tmp3
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]     ,
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]     ranges=[1, 64, 200, 304],
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]     origin_node=relu,
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]     origins={relu, convolution_default_15}
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   )), ConstantBuffer(name='_frozen_param59', layout=FixedLayout('cuda', torch.float16, size=[64, 64, 3, 3], stride=[576, 1, 192, 64]))],
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   constant_args=(),
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   kwargs={'stride': (1, 1), 'padding': (1, 1), 'dilation': (1, 1), 'transposed': False, 'output_padding': (0, 0), 'groups': 1, 'bias': None},
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   output_view=None,
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   ordered_kwargs_for_cpp_kernel=['bias', 'stride', 'padding', 'dilation', 'transposed', 'output_padding', 'groups'],
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   origin_node=None,
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG]   origins={relu, convolution_default_15, convolution_default_14}
[2023-11-01 20:50:47,281] [10/0] torch._inductor.scheduler: [DEBUG] )
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG] scheduling ComputedBuffer(name='buf4', layout=FixedLayout('cuda', torch.float16, size=[1, 64, 200, 304], stride=[3891200, 1, 19456, 64]), data=Pointwise(
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]   'cuda',
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]   torch.float16,
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]   def inner_fn(index):
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]       _, i1, i2, i3 = index
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]       tmp0 = ops.load(buf3, i3 + 304 * i2 + 60800 * i1)
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]       tmp1 = ops.load(_frozen_param58, i1)
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]       tmp2 = tmp0 + tmp1
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]       tmp3 = ops.relu(tmp2)
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]       return tmp3
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]   ,
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]   ranges=[1, 64, 200, 304],
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]   origin_node=relu_1,
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG]   origins={relu, relu_1, convolution_default_15, convolution_de...
[2023-11-01 20:50:47,282] [10/0] torch._inductor.scheduler: [DEBUG] ))
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG] scheduling ExternKernelAlloc(
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]   kernel='extern_kernels.convolution',
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]   name=buf5,
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]   layout=FixedLayout('cuda', torch.float16, size=[1, 256, 200, 304], stride=[15564800, 60800, 304, 1]),
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]   inputs=[ComputedBuffer(name='buf4', layout=FixedLayout('cuda', torch.float16, size=[1, 64, 200, 304], stride=[3891200, 1, 19456, 64]), data=Pointwise(
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]     'cuda',
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]     torch.float16,
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]     def inner_fn(index):
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]         _, i1, i2, i3 = index
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]         tmp0 = ops.load(buf3, i3 + 304 * i2 + 60800 * i1)
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]         tmp1 = ops.load(_frozen_param58, i1)
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]         tmp2 = tmp0 + tmp1
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]         tmp3 = ops.relu(tmp2)
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]         return tmp3
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]     ,
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]     ranges=[1, 64, 200, 304],
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]     origin_node=relu_1,
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]     origins={relu, relu_1, convolution_default_15, convolution_de...
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]   )), ConstantBuffer(name='_frozen_param61', layout=FixedLayout('cuda', torch.float16, size=[256, 64, 1, 1], stride=[64, 1, 1, 1]))],
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]   constant_args=(),
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]   kwargs={'stride': (1, 1), 'padding': (0, 0), 'dilation': (1, 1), 'transposed': False, 'output_padding': (0, 0), 'groups': 1, 'bias': None},
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]   output_view=None,
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]   ordered_kwargs_for_cpp_kernel=['bias', 'stride', 'padding', 'dilation', 'transposed', 'output_padding', 'groups'],
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]   origin_node=None,
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG]   origins={relu_1, convolution_default_14, relu, convolution_de...
[2023-11-01 20:50:47,283] [10/0] torch._inductor.scheduler: [DEBUG] )
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG] scheduling ComputedBuffer(name='buf6', layout=FixedLayout('cuda', torch.float16, size=[1, 64, 200, 304], stride=[3891200, 1, 19456, 64]), data=Pointwise(
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   'cuda',
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   torch.float16,
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   def inner_fn(index):
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]       _, i1, i2, i3 = index
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]       tmp0 = ops.load(arg20_1, i3 + 304 * i2 + 60800 * i1)
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]       return tmp0
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   ,
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   ranges=[1, 64, 200, 304],
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   origin_node=arg20_1,
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   origins={convolution_default_12}
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG] ))
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG] scheduling ExternKernelAlloc(
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   kernel='extern_kernels.convolution',
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   name=buf7,
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   layout=FixedLayout('cuda', torch.float16, size=[1, 256, 200, 304], stride=[15564800, 60800, 304, 1]),
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   inputs=[ComputedBuffer(name='buf6', layout=FixedLayout('cuda', torch.float16, size=[1, 64, 200, 304], stride=[3891200, 1, 19456, 64]), data=Pointwise(
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]     'cuda',
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]     torch.float16,
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]     def inner_fn(index):
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]         _, i1, i2, i3 = index
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]         tmp0 = ops.load(arg20_1, i3 + 304 * i2 + 60800 * i1)
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]         return tmp0
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]     ,
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]     ranges=[1, 64, 200, 304],
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]     origin_node=arg20_1,
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]     origins={convolution_default_12}
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   )), ConstantBuffer(name='_frozen_param63', layout=FixedLayout('cuda', torch.float16, size=[256, 64, 1, 1], stride=[64, 1, 1, 1]))],
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   constant_args=(),
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   kwargs={'stride': (1, 1), 'padding': (0, 0), 'dilation': (1, 1), 'transposed': False, 'output_padding': (0, 0), 'groups': 1, 'bias': None},
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   output_view=None,
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   ordered_kwargs_for_cpp_kernel=['bias', 'stride', 'padding', 'dilation', 'transposed', 'output_padding', 'groups'],
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   origin_node=None,
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG]   origins={convolution_default_12}
[2023-11-01 20:50:47,284] [10/0] torch._inductor.scheduler: [DEBUG] )
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG] scheduling ComputedBuffer(name='buf8', layout=FixedLayout('cuda', torch.float16, size=[1, 256, 200, 304], stride=[15564800, 60800, 304, 1]), data=Pointwise(
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]   'cuda',
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]   torch.float16,
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]   def inner_fn(index):
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]       _, i1, i2, i3 = index
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]       tmp0 = ops.load(buf5, i3 + 304 * i2 + 60800 * i1)
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]       tmp1 = ops.load(_frozen_param62, i1)
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]       tmp2 = tmp0 + tmp1
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]       tmp3 = ops.load(buf7, i3 + 304 * i2 + 60800 * i1)
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]       tmp4 = ops.load(_frozen_param62, i1)
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]       tmp5 = tmp3 + tmp4
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]       tmp6 = tmp2 + tmp5
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]       tmp7 = ops.relu(tmp6)
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]       return tmp7
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]   ,
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]   ranges=[1, 256, 200, 304],
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]   origin_node=inductor_force_stride_order_default,
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG]   origins={relu, convolution_default_15, inductor_force_stride_...
[2023-11-01 20:50:47,285] [10/0] torch._inductor.scheduler: [DEBUG] ))
[2023-11-01 20:50:47,286] [10/0] torch._inductor.scheduler: [DEBUG] scheduling output buf8
[2023-11-01 20:50:47,288] [10/0] torch._inductor.scheduler: [DEBUG] cannot fuse (vert:2): intermediate nodes between node1 & node2
[2023-11-01 20:50:47,290] [10/0] torch._inductor.scheduler: [DEBUG] cannot fuse (vert:2): intermediate nodes between node1 & node2
[2023-11-01 20:50:47,291] [10/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf0_buf6 with estimated runtime 12063.492063
[2023-11-01 20:50:47,301] [10/0] torch._inductor.codegen.triton: [DEBUG] Generating kernel code with kernel_name: triton_poi_fused_convolution_0
[2023-11-01 20:50:47,306] [10/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf1 with estimated runtime 8042.328042
[2023-11-01 20:50:47,308] [10/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf2 with estimated runtime 8042.328042
[2023-11-01 20:50:47,315] [10/0] torch._inductor.codegen.triton: [DEBUG] Generating kernel code with kernel_name: triton_poi_fused_convolution_relu_1
[2023-11-01 20:50:47,319] [10/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf3 with estimated runtime 14373.522459
[2023-11-01 20:50:47,321] [10/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf4 with estimated runtime 8042.328042
[2023-11-01 20:50:47,328] [10/0] torch._inductor.codegen.triton: [DEBUG] Generating kernel code with kernel_name: triton_poi_fused_convolution_relu_1
[2023-11-01 20:50:47,332] [10/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf5 with estimated runtime 20105.820106
[2023-11-01 20:50:47,338] [10/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf7 with estimated runtime 20105.820106
[2023-11-01 20:50:47,340] [10/0] torch._inductor.scheduler: [DEBUG] Generating code for node buf8 with estimated runtime 48253.968254
[2023-11-01 20:50:47,349] [10/0] torch._inductor.codegen.triton: [DEBUG] Generating kernel code with kernel_name: triton_poi_fused_add_convolution_relu_2
[2023-11-01 20:50:47,471] [0/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 2 configs
[2023-11-01 20:50:47,472] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:47,472] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:47,472] [0/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 5 configs
[2023-11-01 20:50:47,473] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 32, YBLOCK: 32, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:47,473] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 64, YBLOCK: 64, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:47,473] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 256, YBLOCK: 16, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:47,472] [0/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 5 configs
[2023-11-01 20:50:47,473] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, YBLOCK: 1, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:47,473] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 16, YBLOCK: 64, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:47,473] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 32, YBLOCK: 32, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:47,473] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 64, YBLOCK: 64, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:47,473] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 256, YBLOCK: 16, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:47,473] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, YBLOCK: 1, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:47,473] [0/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 16, YBLOCK: 64, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,040] [10/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 5 configs
[2023-11-01 20:50:49,040] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 32, YBLOCK: 32, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,040] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 64, YBLOCK: 64, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,040] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 256, YBLOCK: 16, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,041] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, YBLOCK: 1, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,041] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 16, YBLOCK: 64, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,157] [10/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 5 configs
[2023-11-01 20:50:49,157] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 32, YBLOCK: 32, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,157] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 64, YBLOCK: 64, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,157] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 256, YBLOCK: 16, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,157] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, YBLOCK: 1, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,157] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 16, YBLOCK: 64, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,194] [10/0] torch._inductor.triton_heuristics: [DEBUG] CachingAutotuner gets 2 configs
[2023-11-01 20:50:49,194] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,194] [10/0] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False
[2023-11-01 20:50:49,206] [10/0] torch._inductor.graph: [DEBUG] Output code written to: /tmp/tmp40bwf4th/ax/cax6fcom67e2m7xlivrnbeb2zsbdk7zrtm75juxrucg2ntgftf6d.py
[2023-11-01 20:50:49,206] [10/0] torch._inductor.compile_fx: [DEBUG] FX codegen and compilation took 2.127s
[2023-11-01 20:50:49,207] [10/0] torch._inductor.compile_fx: [INFO] Step 3: torchinductor done compiling FORWARDS graph 5
[2023-11-01 20:50:49,212] [10/0] torch._dynamo.output_graph: [INFO] Step 2: done compiler function inductor
[2023-11-01 20:50:49,218] [10/0] torch._dynamo.guards.__guards: [DEBUG] GUARDS:
[2023-11-01 20:50:49,219] [10/0] torch._dynamo.guards.__guards: [DEBUG] hasattr(L['x'], '_dynamo_dynamic_indices') == False           # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:49,219] [10/0] torch._dynamo.guards.__guards: [DEBUG] ___check_obj_id(L['self'], 140608108240256)                 
[2023-11-01 20:50:49,220] [10/0] torch._dynamo.guards.__guards: [DEBUG] L['self'].training == False                                 
[2023-11-01 20:50:49,220] [10/0] torch._dynamo.guards.__guards: [DEBUG] utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:370 in init_ambient_guards
[2023-11-01 20:50:49,221] [10/0] torch._dynamo.guards.__guards: [DEBUG] ___skip_backend_check() or ___current_backend() == ___lookup_backend(140608569684848)  # _dynamo/output_graph.py:376 in init_ambient_guards
[2023-11-01 20:50:49,221] [10/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION, 7605472)
[2023-11-01 20:50:49,221] [10/0] torch._dynamo.guards.__guards: [DEBUG] len(G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION) == 2
[2023-11-01 20:50:49,222] [10/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION[0], 7628128)
[2023-11-01 20:50:49,222] [10/0] torch._dynamo.guards.__guards: [DEBUG] G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION[0] == 2
[2023-11-01 20:50:49,223] [10/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION[1], 7628128)
[2023-11-01 20:50:49,223] [10/0] torch._dynamo.guards.__guards: [DEBUG] G['__import_detectron2_dot_layers_dot_wrappers'].TORCH_VERSION[1] == 2
[2023-11-01 20:50:49,224] [10/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks, 7477216)
[2023-11-01 20:50:49,224] [10/0] torch._dynamo.guards.__guards: [DEBUG] set(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks.keys()) == set()
[2023-11-01 20:50:49,225] [10/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks, 7477216)
[2023-11-01 20:50:49,225] [10/0] torch._dynamo.guards.__guards: [DEBUG] set(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks.keys()) == set()
[2023-11-01 20:50:49,225] [10/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks, 7477216)
[2023-11-01 20:50:49,226] [10/0] torch._dynamo.guards.__guards: [DEBUG] set(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks.keys()) == set()
[2023-11-01 20:50:49,226] [10/0] torch._dynamo.guards.__guards: [DEBUG] ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks, 7477216)
[2023-11-01 20:50:49,226] [10/0] torch._dynamo.guards.__guards: [DEBUG] set(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks.keys()) == set()
[2023-11-01 20:50:49,227] [10/0] torch._dynamo.guards.__guards: [DEBUG] check_tensor(L['x'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA, AutocastCUDA), torch.float16, device=0, requires_grad=False, size=[1, 64, 200, 304], stride=[3891200, 60800, 304, 1])  # _dynamo/variables/builder.py:1412 in wrap_fx_proxy_cls
[2023-11-01 20:50:49,235] torch._inductor.cudagraph_trees: [INFO] recording cudagraph tree for None
[2023-11-01 20:50:49,235] torch._inductor.cudagraph_trees: [DEBUG] Running warmup of function 2
[2023-11-01 20:50:49,488] torch._inductor.triton_heuristics: [DEBUG] Benchmark all input configs get:
[2023-11-01 20:50:49,489] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 32, YBLOCK: 32, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.028736, nreg 21, nspill 0, #shared-mem 2560
[2023-11-01 20:50:49,489] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 64, YBLOCK: 64, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.023776, nreg 29, nspill 0, #shared-mem 9216
[2023-11-01 20:50:49,489] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 256, YBLOCK: 16, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.049568, nreg 27, nspill 0, #shared-mem 12288
[2023-11-01 20:50:49,489] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, YBLOCK: 1, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.289648, nreg 32, nspill 0, #shared-mem 0
[2023-11-01 20:50:49,489] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 16, YBLOCK: 64, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.023232, nreg 21, nspill 0, #shared-mem 2304
[2023-11-01 20:50:49,489] torch._inductor.triton_heuristics: [DEBUG] Save heuristic tuning result to /tmp/tmp40bwf4th/hd/chdp2ibjts4pqqdyzhptairoawh73vqsvcaabh4am7zcpbkxmerm.best_config
[2023-11-01 20:50:49,738] torch._inductor.triton_heuristics: [DEBUG] Benchmark all input configs get:
[2023-11-01 20:50:49,738] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 32, YBLOCK: 32, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.022784, nreg 22, nspill 0, #shared-mem 2560
[2023-11-01 20:50:49,738] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 64, YBLOCK: 64, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.018896, nreg 32, nspill 0, #shared-mem 9216
[2023-11-01 20:50:49,738] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 256, YBLOCK: 16, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.039904, nreg 32, nspill 0, #shared-mem 12288
[2023-11-01 20:50:49,738] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, YBLOCK: 1, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.128448, nreg 24, nspill 0, #shared-mem 0
[2023-11-01 20:50:49,738] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 16, YBLOCK: 64, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.018208, nreg 22, nspill 0, #shared-mem 2304
[2023-11-01 20:50:49,739] torch._inductor.triton_heuristics: [DEBUG] Save heuristic tuning result to /tmp/tmp40bwf4th/2w/c2w3ltzoodwgqnprgje6wdkzfkni24vcr5nnnv5v5bgmxy3sekjy.best_config
[2023-11-01 20:50:49,851] torch._inductor.triton_heuristics: [DEBUG] Benchmark all input configs get:
[2023-11-01 20:50:49,851] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 1024, num_warps: 4, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.110752, nreg 30, nspill 0, #shared-mem 0
[2023-11-01 20:50:49,851] torch._inductor.triton_heuristics: [DEBUG] XBLOCK: 512, num_warps: 8, num_ctas: 1, num_stages: 1, enable_warp_specialization: False, enable_persistent: False: 0.114272, nreg 17, nspill 0, #shared-mem 0
[2023-11-01 20:50:49,851] torch._inductor.triton_heuristics: [DEBUG] Save heuristic tuning result to /tmp/tmp40bwf4th/ao/caoizurrou2ubxv7evw6xw2novo4uxhfsonpqhwp3ynzhwig6tys.best_config
[2023-11-01 20:50:49,853] [10/1] torch._dynamo.symbolic_convert: [INFO] Step 1: torchdynamo start tracing forward /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:194
[2023-11-01 20:50:49,855] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:194 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:49,855] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def forward(self, x):
[2023-11-01 20:50:49,856] [10/1] torch._dynamo.output_graph: [DEBUG] create_graph_input L_x_ L['x']
[2023-11-01 20:50:49,856] [10/1] torch._dynamo.variables.builder: [DEBUG] automatic dynamic L['x'] size(1) 256 != 64
[2023-11-01 20:50:49,856] [10/1] torch._dynamo.variables.builder: [DEBUG] wrap_to_fake L['x'] (1, 256, 200, 304) [<DimDynamic.STATIC: 2>, <DimDynamic.DYNAMIC: 0>, <DimDynamic.STATIC: 2>, <DimDynamic.STATIC: 2>] [None, RelaxedUnspecConstraint(warn_only=True), None, None]
[2023-11-01 20:50:49,872] [10/1] torch._dynamo.output_graph: [DEBUG] create_graph_input s0 L['x'].size()[1]
[2023-11-01 20:50:49,872] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/detectron2/modeling/backbone/resnet.py:195 in forward (BottleneckBlock.forward)
[2023-11-01 20:50:49,872] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             out = self.conv1(x)
[2023-11-01 20:50:49,872] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:49,873] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR conv1 [NNModuleVariable()]
[2023-11-01 20:50:49,873] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
[2023-11-01 20:50:49,874] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
[2023-11-01 20:50:49,874] [10/1] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object _call_impl at 0x7fe2439e0870, file "/home/dberard/local/pytorch/torch/nn/modules/module.py", line 1521>, inlined according skipfiles.MOD_INLINELIST
[2023-11-01 20:50:49,880] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1521 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:49,880] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]         def _call_impl(self, *args, **kwargs):
[2023-11-01 20:50:49,880] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1522 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:49,880] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
[2023-11-01 20:50:49,880] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
[2023-11-01 20:50:49,881] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _C [TorchVariable(<module 'torch' from '/home/dberard/local/pytorch/torch/__init__.py'>)]
[2023-11-01 20:50:49,881] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _get_tracing_state [TorchVariable(<module 'torch._C' from '/home/dberard/local/pytorch/torch/_C.cpython-310-x86_64-linux-gnu.so'>)]
[2023-11-01 20:50:49,881] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TorchVariable(<built-in method _get_tracing_state of PyCapsule object at 0x7fe26f88e1c0>)]
[2023-11-01 20:50:49,882] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_FALSE 16 [ConstantVariable(NoneType)]
[2023-11-01 20:50:49,882] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:49,882] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR forward [NNModuleVariable()]
[2023-11-01 20:50:49,882] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST forward_call [UserMethodVariable(<function Conv2d.forward at 0x7fe1f0d80b80>, NNModuleVariable())]
[2023-11-01 20:50:49,882] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:49,882] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:49,883] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:49,883] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_hooks [NNModuleVariable()]
[2023-11-01 20:50:49,883] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:49,883] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:49,883] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _backward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:49,884] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:49,884] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:49,884] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_hooks [NNModuleVariable()]
[2023-11-01 20:50:49,884] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:49,885] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
[2023-11-01 20:50:49,885] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _forward_pre_hooks [NNModuleVariable()]
[2023-11-01 20:50:49,885] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:49,885] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:49,885] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:49,885] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_pre_hooks []
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1526 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_backward_pre_hooks or _global_backward_hooks
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_backward_hooks []
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:49,886] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL _global_forward_hooks []
[2023-11-01 20:50:49,887] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1525 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:49,887] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]             if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
[2023-11-01 20:50:49,887] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_JUMP_IF_TRUE 76 [ConstDictVariable()]
[2023-11-01 20:50:49,887] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG] TRACE starts_line /home/dberard/local/pytorch/torch/nn/modules/module.py:1527 in _call_impl (Module._call_impl) (inline depth: 1)
[2023-11-01 20:50:49,887] [10/1] torch._dynamo.symbolic_convert.__trace_source: [DEBUG]                     or _global_forward_hooks or _global_forward_pre_hooks):
[2023-11-01 20:50:49,887] [10/1] torch._dynamo.symbolic_convert: [DEBUG] TRACE L