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2024-07-04T23:20:39.8000729Z loading model: 0it [00:00, ?it/s]WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead | |
2024-07-04T23:20:39.9484088Z | |
2024-07-04T23:20:39.9485124Z loading model: 0it [00:01, ?it/s] | |
2024-07-04T23:20:39.9486440Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead | |
2024-07-04T23:20:39.9487446Z cuda eval pyhpc_turbulent_kinetic_energy | |
2024-07-04T23:20:39.9743673Z WARNING:common:Model pyhpc_turbulent_kinetic_energy does not support bfloat16, running with amp instead | |
2024-07-04T23:21:01.2023259Z ERROR:common: | |
2024-07-04T23:21:01.2024509Z Traceback (most recent call last): | |
2024-07-04T23:21:01.2025803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2642, in check_accuracy | |
2024-07-04T23:21:01.2027561Z new_result = optimized_model_iter_fn(model_copy, example_inputs) | |
2024-07-04T23:21:01.2032177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 435, in _fn | |
2024-07-04T23:21:01.2033420Z return fn(*args, **kwargs) | |
2024-07-04T23:21:01.2034658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 1121, in __call__ | |
2024-07-04T23:21:01.2035735Z return self._torchdynamo_orig_callable( | |
2024-07-04T23:21:01.2036965Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 948, in __call__ | |
2024-07-04T23:21:01.2038000Z result = self._inner_convert( | |
2024-07-04T23:21:01.2039151Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 472, in __call__ | |
2024-07-04T23:21:01.2040154Z return _compile( | |
2024-07-04T23:21:01.2041243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_utils_internal.py", line 85, in wrapper_function | |
2024-07-04T23:21:01.2042494Z return StrobelightCompileTimeProfiler.profile_compile_time( | |
2024-07-04T23:21:01.2044057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_strobelight/compile_time_profiler.py", line 129, in profile_compile_time | |
2024-07-04T23:21:01.2045293Z return func(*args, **kwargs) | |
2024-07-04T23:21:01.2046076Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner | |
2024-07-04T23:21:01.2046846Z return func(*args, **kwds) | |
2024-07-04T23:21:01.2047990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 817, in _compile | |
2024-07-04T23:21:01.2049211Z guarded_code = compile_inner(code, one_graph, hooks, transform) | |
2024-07-04T23:21:01.2050503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 233, in time_wrapper | |
2024-07-04T23:21:01.2051481Z r = func(*args, **kwargs) | |
2024-07-04T23:21:01.2052628Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 636, in compile_inner | |
2024-07-04T23:21:01.2053791Z out_code = transform_code_object(code, transform) | |
2024-07-04T23:21:01.2055523Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/bytecode_transformation.py", line 1270, in transform_code_object | |
2024-07-04T23:21:01.2056788Z transformations(instructions, code_options) | |
2024-07-04T23:21:01.2057956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 178, in _fn | |
2024-07-04T23:21:01.2058971Z return fn(*args, **kwargs) | |
2024-07-04T23:21:01.2060090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 582, in transform | |
2024-07-04T23:21:01.2061103Z tracer.run() | |
2024-07-04T23:21:01.2062108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2476, in run | |
2024-07-04T23:21:01.2063097Z super().run() | |
2024-07-04T23:21:01.2064168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in run | |
2024-07-04T23:21:01.2065168Z while self.step(): | |
2024-07-04T23:21:01.2066208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 816, in step | |
2024-07-04T23:21:01.2067311Z self.dispatch_table[inst.opcode](self, inst) | |
2024-07-04T23:21:01.2068622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2667, in RETURN_VALUE | |
2024-07-04T23:21:01.2069685Z self._return(inst) | |
2024-07-04T23:21:01.2071057Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2652, in _return | |
2024-07-04T23:21:01.2072141Z self.output.compile_subgraph( | |
2024-07-04T23:21:01.2073343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 1127, in compile_subgraph | |
2024-07-04T23:21:01.2074675Z self.compile_and_call_fx_graph(tx, pass2.graph_output_vars(), root) | |
2024-07-04T23:21:01.2075636Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner | |
2024-07-04T23:21:01.2076627Z return func(*args, **kwds) | |
2024-07-04T23:21:01.2077891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 1324, in compile_and_call_fx_graph | |
2024-07-04T23:21:01.2079077Z compiled_fn = self.call_user_compiler(gm) | |
2024-07-04T23:21:01.2080230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 233, in time_wrapper | |
2024-07-04T23:21:01.2081217Z r = func(*args, **kwargs) | |
2024-07-04T23:21:01.2082395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 1415, in call_user_compiler | |
2024-07-04T23:21:01.2083683Z raise BackendCompilerFailed(self.compiler_fn, e).with_traceback( | |
2024-07-04T23:21:01.2085155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 1396, in call_user_compiler | |
2024-07-04T23:21:01.2086337Z compiled_fn = compiler_fn(gm, self.example_inputs()) | |
2024-07-04T23:21:01.2087639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_dynamo.py", line 129, in __call__ | |
2024-07-04T23:21:01.2088791Z compiled_gm = compiler_fn(gm, example_inputs) | |
2024-07-04T23:21:01.2090067Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/inductor.py", line 16, in inductor | |
2024-07-04T23:21:01.2091115Z return compile_fx(*args, **kwargs) | |
2024-07-04T23:21:01.2091890Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner | |
2024-07-04T23:21:01.2092675Z return func(*args, **kwds) | |
2024-07-04T23:21:01.2093816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1550, in compile_fx | |
2024-07-04T23:21:01.2095010Z return aot_autograd( | |
2024-07-04T23:21:01.2096124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 69, in __call__ | |
2024-07-04T23:21:01.2097307Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) | |
2024-07-04T23:21:01.2098755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 990, in aot_module_simplified | |
2024-07-04T23:21:01.2099900Z compiled_fn = dispatch_and_compile() | |
2024-07-04T23:21:01.2101179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 979, in dispatch_and_compile | |
2024-07-04T23:21:01.2102383Z compiled_fn, _ = create_aot_dispatcher_function( | |
2024-07-04T23:21:01.2103599Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 233, in time_wrapper | |
2024-07-04T23:21:01.2104628Z r = func(*args, **kwargs) | |
2024-07-04T23:21:01.2105906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 708, in create_aot_dispatcher_function | |
2024-07-04T23:21:01.2107158Z compiled_fn, fw_metadata = compiler_fn( | |
2024-07-04T23:21:01.2108658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/jit_compile_runtime_wrappers.py", line 175, in aot_dispatch_base | |
2024-07-04T23:21:01.2110072Z compiled_fw = compiler(fw_module, updated_flat_args) | |
2024-07-04T23:21:01.2111413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1260, in fw_compiler_freezing | |
2024-07-04T23:21:01.2112537Z optimized_function = inner_compile( | |
2024-07-04T23:21:01.2113785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 84, in debug_wrapper | |
2024-07-04T23:21:01.2115154Z inner_compiled_fn = compiler_fn(gm, example_inputs) | |
2024-07-04T23:21:01.2116326Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/debug.py", line 304, in inner | |
2024-07-04T23:21:01.2117291Z return fn(*args, **kwargs) | |
2024-07-04T23:21:01.2118008Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner | |
2024-07-04T23:21:01.2118783Z return func(*args, **kwds) | |
2024-07-04T23:21:01.2119634Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner | |
2024-07-04T23:21:01.2120414Z return func(*args, **kwds) | |
2024-07-04T23:21:01.2121544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 433, in wrapper | |
2024-07-04T23:21:01.2122585Z return fn(*args, **kwargs) | |
2024-07-04T23:21:01.2123641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 233, in time_wrapper | |
2024-07-04T23:21:01.2124683Z r = func(*args, **kwargs) | |
2024-07-04T23:21:01.2125836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 536, in compile_fx_inner | |
2024-07-04T23:21:01.2126938Z compiled_graph = FxGraphCache.load( | |
2024-07-04T23:21:01.2128077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 1119, in load | |
2024-07-04T23:21:01.2129215Z compiled_graph = compile_fx_fn(gm, example_inputs, **fx_kwargs) | |
2024-07-04T23:21:01.2130197Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner | |
2024-07-04T23:21:01.2131000Z return func(*args, **kwds) | |
2024-07-04T23:21:01.2132204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 849, in fx_codegen_and_compile | |
2024-07-04T23:21:01.2133308Z graph.run(*example_inputs) | |
2024-07-04T23:21:01.2134610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 233, in time_wrapper | |
2024-07-04T23:21:01.2135643Z r = func(*args, **kwargs) | |
2024-07-04T23:21:01.2136660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/graph.py", line 720, in run | |
2024-07-04T23:21:01.2137597Z return super().run(*args) | |
2024-07-04T23:21:01.2138634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py", line 146, in run | |
2024-07-04T23:21:01.2139599Z self.env[node] = self.run_node(node) | |
2024-07-04T23:21:01.2140727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/graph.py", line 1200, in run_node | |
2024-07-04T23:21:01.2141702Z result = super().run_node(n) | |
2024-07-04T23:21:01.2142775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/interpreter.py", line 203, in run_node | |
2024-07-04T23:21:01.2143850Z return getattr(self, n.op)(n.target, args, kwargs) | |
2024-07-04T23:21:01.2145116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/graph.py", line 969, in call_function | |
2024-07-04T23:21:01.2146315Z raise LoweringException(e, target, args, kwargs).with_traceback( | |
2024-07-04T23:21:01.2147682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/graph.py", line 966, in call_function | |
2024-07-04T23:21:01.2148741Z out = lowerings[target](*args, **kwargs) | |
2024-07-04T23:21:01.2149906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/lowering.py", line 310, in wrapped | |
2024-07-04T23:21:01.2150901Z out = decomp_fn(*args, **kwargs) | |
2024-07-04T23:21:01.2152003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/lowering.py", line 2317, in copy | |
2024-07-04T23:21:01.2153003Z x = to_device(x, self.get_device()) | |
2024-07-04T23:21:01.2154187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/lowering.py", line 614, in to_device | |
2024-07-04T23:21:01.2155341Z return TensorBox.create(ir.DeviceCopy.create(x, device)) | |
2024-07-04T23:21:01.2156726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ir.py", line 5301, in create | |
2024-07-04T23:21:01.2157826Z and all(r in V.graph.constants for r in x.get_read_names()) | |
2024-07-04T23:21:01.2159107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ir.py", line 301, in get_read_names | |
2024-07-04T23:21:01.2160201Z raise NotImplementedError(f"NYI on {type(self)}") | |
2024-07-04T23:21:01.2161093Z torch._dynamo.exc.BackendCompilerFailed: backend='inductor' raised: | |
2024-07-04T23:21:01.2162428Z LoweringException: NotImplementedError: NYI on <class 'torch._inductor.ir.Constant'> | |
2024-07-04T23:21:01.2163272Z target: aten.copy.default | |
2024-07-04T23:21:01.2163723Z args[0]: TensorBox(StorageBox( | |
2024-07-04T23:21:01.2164224Z Pointwise( | |
2024-07-04T23:21:01.2164601Z 'cuda', | |
2024-07-04T23:21:01.2164941Z torch.float64, | |
2024-07-04T23:21:01.2165310Z def inner_fn(index): | |
2024-07-04T23:21:01.2165726Z i0, i1, i2 = index | |
2024-07-04T23:21:01.2166210Z tmp0 = ops.constant(0, torch.float64) | |
2024-07-04T23:21:01.2166740Z return tmp0 | |
2024-07-04T23:21:01.2167278Z , | |
2024-07-04T23:21:01.2167595Z ranges=[204, 204, 26], | |
2024-07-04T23:21:01.2168041Z origin_node=full_15, | |
2024-07-04T23:21:01.2168475Z origins={full_15} | |
2024-07-04T23:21:01.2168858Z ) | |
2024-07-04T23:21:01.2169166Z )) | |
2024-07-04T23:21:01.2169828Z args[1]: Constant(value=0.0, dtype=torch.float64, device=device(type='cpu')) | |
2024-07-04T23:21:01.2170416Z | |
2024-07-04T23:21:01.2170778Z Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information | |
2024-07-04T23:21:01.2171344Z | |
2024-07-04T23:21:01.2171350Z | |
2024-07-04T23:21:01.2171718Z You can suppress this exception and fall back to eager by setting: | |
2024-07-04T23:21:01.2172405Z import torch._dynamo | |
2024-07-04T23:21:01.2172892Z torch._dynamo.config.suppress_errors = True | |
2024-07-04T23:21:01.2173325Z | |
2024-07-04T23:21:01.2173695Z TorchDynamo optimized model failed to run because of following error | |
2024-07-04T23:21:01.2174602Z fail_to_run |
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