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| /home/dberard/local/pytorch/torch/backends/cudnn/__init__.py:106: UserWarning: PyTorch was compiled without cuDNN/MIOpen support. To use cuDNN/MIOpen, rebuild PyTorch making sure the library is visible to the build system. | |
| warnings.warn( | |
| /home/dberard/local/pytorch/torch/backends/cudnn/__init__.py:106: UserWarning: PyTorch was compiled without cuDNN/MIOpen support. To use cuDNN/MIOpen, rebuild PyTorch making sure the library is visible to the build system. | |
| warnings.warn( | |
| /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/z3/z3core.py:5: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html | |
| import pkg_resources | |
| /home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/site-packages/pkg_resources/__init__.py:2871: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('ruamel')`. | |
| Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages | |
| declare_namespace(pkg) | |
| E/home/dberard/local/pytorch/torch/backends/cudnn/__init__.py:106: UserWarning: PyTorch was compiled without cuDNN/MIOpen support. To use cuDNN/MIOpen, rebuild PyTorch making sure the library is visible to the build system. | |
| warnings.warn( | |
| E | |
| ====================================================================== | |
| ERROR: test_return_nt_constructed_in_graph_cpu (__main__.TestNestedTensorSubclassCPU) | |
| ---------------------------------------------------------------------- | |
| Traceback (most recent call last): | |
| File "/home/dberard/local/pytorch/torch/testing/_internal/common_utils.py", line 2744, in wrapper | |
| method(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/testing/_internal/common_device_type.py", line 432, in instantiated_test | |
| raise rte | |
| File "/home/dberard/local/pytorch/torch/testing/_internal/common_device_type.py", line 419, in instantiated_test | |
| result = test(self, **param_kwargs) | |
| File "/home/dberard/local/pytorch/test/test_nestedtensor.py", line 4012, in test_return_nt_constructed_in_graph | |
| res = fn_c(values, offsets) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/eval_frame.py", line 403, in _fn | |
| return fn(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 977, in catch_errors | |
| return callback(frame, cache_entry, hooks, frame_state, skip=1) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 411, in _convert_frame_assert | |
| return _compile( | |
| File "/home/dberard/local/pytorch/torch/_utils_internal.py", line 70, in wrapper_function | |
| return function(*args, **kwargs) | |
| File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py", line 79, in inner | |
| return func(*args, **kwds) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 700, in _compile | |
| guarded_code = compile_inner(code, one_graph, hooks, transform) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/utils.py", line 268, in time_wrapper | |
| r = func(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 568, in compile_inner | |
| out_code = transform_code_object(code, transform) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/bytecode_transformation.py", line 1116, in transform_code_object | |
| transformations(instructions, code_options) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 173, in _fn | |
| return fn(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 515, in transform | |
| tracer.run() | |
| File "/home/dberard/local/pytorch/torch/_dynamo/symbolic_convert.py", line 2237, in run | |
| super().run() | |
| File "/home/dberard/local/pytorch/torch/_dynamo/symbolic_convert.py", line 875, in run | |
| while self.step(): | |
| File "/home/dberard/local/pytorch/torch/_dynamo/symbolic_convert.py", line 790, in step | |
| self.dispatch_table[inst.opcode](self, inst) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/symbolic_convert.py", line 2394, in RETURN_VALUE | |
| self._return(inst) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/symbolic_convert.py", line 2379, in _return | |
| self.output.compile_subgraph( | |
| File "/home/dberard/local/pytorch/torch/_dynamo/output_graph.py", line 1057, in compile_subgraph | |
| self.compile_and_call_fx_graph(tx, list(reversed(stack_values)), root) | |
| File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py", line 79, in inner | |
| return func(*args, **kwds) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/output_graph.py", line 1274, in compile_and_call_fx_graph | |
| compiled_fn = self.call_user_compiler(gm) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/utils.py", line 268, in time_wrapper | |
| r = func(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/output_graph.py", line 1365, in call_user_compiler | |
| raise BackendCompilerFailed(self.compiler_fn, e).with_traceback( | |
| File "/home/dberard/local/pytorch/torch/_dynamo/output_graph.py", line 1346, in call_user_compiler | |
| compiled_fn = compiler_fn(gm, self.example_inputs()) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/repro/after_dynamo.py", line 127, in debug_wrapper | |
| compiled_gm = compiler_fn(gm, example_inputs) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/repro/after_dynamo.py", line 127, in debug_wrapper | |
| compiled_gm = compiler_fn(gm, example_inputs) | |
| File "/home/dberard/local/pytorch/torch/__init__.py", line 1742, in __call__ | |
| return compile_fx(model_, inputs_, config_patches=self.config) | |
| File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py", line 79, in inner | |
| return func(*args, **kwds) | |
| File "/home/dberard/local/pytorch/torch/_inductor/compile_fx.py", line 1416, in compile_fx | |
| return aot_autograd( | |
| File "/home/dberard/local/pytorch/torch/_dynamo/backends/common.py", line 65, in compiler_fn | |
| cg = aot_module_simplified(gm, example_inputs, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_functorch/aot_autograd.py", line 958, in aot_module_simplified | |
| compiled_fn = create_aot_dispatcher_function( | |
| File "/home/dberard/local/pytorch/torch/_dynamo/utils.py", line 268, in time_wrapper | |
| r = func(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_functorch/aot_autograd.py", line 558, in create_aot_dispatcher_function | |
| fw_metadata = run_functionalized_fw_and_collect_metadata( | |
| File "/home/dberard/local/pytorch/torch/_functorch/_aot_autograd/collect_metadata_analysis.py", line 547, in inner | |
| dynamic_dims = { | |
| File "/home/dberard/local/pytorch/torch/_functorch/_aot_autograd/collect_metadata_analysis.py", line 548, in <setcomp> | |
| i for i, s in enumerate(o.shape) if not is_concrete_int(s) | |
| File "/home/dberard/local/pytorch/torch/fx/experimental/symbolic_shapes.py", line 217, in is_concrete_int | |
| if isinstance(a.node.expr, sympy.core.numbers.Integer): | |
| torch._dynamo.exc.BackendCompilerFailed: backend='inductor' raised: | |
| AttributeError: 'torch._C._SymNode' object has no attribute 'expr' | |
| Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information | |
| You can suppress this exception and fall back to eager by setting: | |
| import torch._dynamo | |
| torch._dynamo.config.suppress_errors = True | |
| To execute this test, run the following from the base repo dir: | |
| python test/test_nestedtensor.py -k test_return_nt_constructed_in_graph_cpu | |
| This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 | |
| ====================================================================== | |
| ERROR: test_return_nt_constructed_in_graph_cuda (__main__.TestNestedTensorSubclassCUDA) | |
| ---------------------------------------------------------------------- | |
| Traceback (most recent call last): | |
| File "/home/dberard/local/pytorch/torch/testing/_internal/common_utils.py", line 2744, in wrapper | |
| method(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/testing/_internal/common_utils.py", line 2744, in wrapper | |
| method(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/testing/_internal/common_device_type.py", line 432, in instantiated_test | |
| raise rte | |
| File "/home/dberard/local/pytorch/torch/testing/_internal/common_device_type.py", line 419, in instantiated_test | |
| result = test(self, **param_kwargs) | |
| File "/home/dberard/local/pytorch/test/test_nestedtensor.py", line 4012, in test_return_nt_constructed_in_graph | |
| res = fn_c(values, offsets) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/eval_frame.py", line 403, in _fn | |
| return fn(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 977, in catch_errors | |
| return callback(frame, cache_entry, hooks, frame_state, skip=1) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 411, in _convert_frame_assert | |
| return _compile( | |
| File "/home/dberard/local/pytorch/torch/_utils_internal.py", line 70, in wrapper_function | |
| return function(*args, **kwargs) | |
| File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py", line 79, in inner | |
| return func(*args, **kwds) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 700, in _compile | |
| guarded_code = compile_inner(code, one_graph, hooks, transform) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/utils.py", line 268, in time_wrapper | |
| r = func(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 568, in compile_inner | |
| out_code = transform_code_object(code, transform) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/bytecode_transformation.py", line 1116, in transform_code_object | |
| transformations(instructions, code_options) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 173, in _fn | |
| return fn(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/convert_frame.py", line 515, in transform | |
| tracer.run() | |
| File "/home/dberard/local/pytorch/torch/_dynamo/symbolic_convert.py", line 2237, in run | |
| super().run() | |
| File "/home/dberard/local/pytorch/torch/_dynamo/symbolic_convert.py", line 875, in run | |
| while self.step(): | |
| File "/home/dberard/local/pytorch/torch/_dynamo/symbolic_convert.py", line 790, in step | |
| self.dispatch_table[inst.opcode](self, inst) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/symbolic_convert.py", line 2394, in RETURN_VALUE | |
| self._return(inst) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/symbolic_convert.py", line 2379, in _return | |
| self.output.compile_subgraph( | |
| File "/home/dberard/local/pytorch/torch/_dynamo/output_graph.py", line 1057, in compile_subgraph | |
| self.compile_and_call_fx_graph(tx, list(reversed(stack_values)), root) | |
| File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py", line 79, in inner | |
| return func(*args, **kwds) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/output_graph.py", line 1274, in compile_and_call_fx_graph | |
| compiled_fn = self.call_user_compiler(gm) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/utils.py", line 268, in time_wrapper | |
| r = func(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/output_graph.py", line 1365, in call_user_compiler | |
| raise BackendCompilerFailed(self.compiler_fn, e).with_traceback( | |
| File "/home/dberard/local/pytorch/torch/_dynamo/output_graph.py", line 1346, in call_user_compiler | |
| compiled_fn = compiler_fn(gm, self.example_inputs()) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/repro/after_dynamo.py", line 127, in debug_wrapper | |
| compiled_gm = compiler_fn(gm, example_inputs) | |
| File "/home/dberard/local/pytorch/torch/_dynamo/repro/after_dynamo.py", line 127, in debug_wrapper | |
| compiled_gm = compiler_fn(gm, example_inputs) | |
| File "/home/dberard/local/pytorch/torch/__init__.py", line 1742, in __call__ | |
| return compile_fx(model_, inputs_, config_patches=self.config) | |
| File "/home/dberard/local/miniconda3/envs/pytorch/lib/python3.10/contextlib.py", line 79, in inner | |
| return func(*args, **kwds) | |
| File "/home/dberard/local/pytorch/torch/_inductor/compile_fx.py", line 1416, in compile_fx | |
| return aot_autograd( | |
| File "/home/dberard/local/pytorch/torch/_dynamo/backends/common.py", line 65, in compiler_fn | |
| cg = aot_module_simplified(gm, example_inputs, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_functorch/aot_autograd.py", line 958, in aot_module_simplified | |
| compiled_fn = create_aot_dispatcher_function( | |
| File "/home/dberard/local/pytorch/torch/_dynamo/utils.py", line 268, in time_wrapper | |
| r = func(*args, **kwargs) | |
| File "/home/dberard/local/pytorch/torch/_functorch/aot_autograd.py", line 558, in create_aot_dispatcher_function | |
| fw_metadata = run_functionalized_fw_and_collect_metadata( | |
| File "/home/dberard/local/pytorch/torch/_functorch/_aot_autograd/collect_metadata_analysis.py", line 547, in inner | |
| dynamic_dims = { | |
| File "/home/dberard/local/pytorch/torch/_functorch/_aot_autograd/collect_metadata_analysis.py", line 548, in <setcomp> | |
| i for i, s in enumerate(o.shape) if not is_concrete_int(s) | |
| File "/home/dberard/local/pytorch/torch/fx/experimental/symbolic_shapes.py", line 217, in is_concrete_int | |
| if isinstance(a.node.expr, sympy.core.numbers.Integer): | |
| torch._dynamo.exc.BackendCompilerFailed: backend='inductor' raised: | |
| AttributeError: 'torch._C._SymNode' object has no attribute 'expr' | |
| Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information | |
| You can suppress this exception and fall back to eager by setting: | |
| import torch._dynamo | |
| torch._dynamo.config.suppress_errors = True | |
| To execute this test, run the following from the base repo dir: | |
| python test/test_nestedtensor.py -k test_return_nt_constructed_in_graph_cuda | |
| This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 | |
| ---------------------------------------------------------------------- | |
| Ran 2 tests in 3.490s | |
| FAILED (errors=2) |
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