Will Constable wconstab
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| cuda train BERT_pytorch torchdynamo.symbolic_convert: [WARNING] Graph break: call_function in skip_files /scratch/whc/work/torchdynamo/torchdynamo/utils.py from user code at File "benchmarks/torchbench.py", line 341, in forward_and_backward_pass | |
| cloned_inputs = clone_inputs(inputs) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: call_method NNModuleVariable() zero_grad [ConstantVariable(bool)] {} from user code at File "benchmarks/torchbench.py", line 342, in <graph break in forward_and_backward_pass> | |
| mod.zero_grad(True) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: Dynamic slicing not supported from user code at File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 43, in forward | |
| x = self.embedding(x, segment_info) | |
| File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward | |
| x = self.token(sequence) + self.position(sequence) |
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| cuda train BERT_pytorch torchdynamo.symbolic_convert: [WARNING] Graph break: call_function in skip_files /scratch/whc/work/torchdynamo/torchdynamo/utils.py from user code at File "benchmarks/torchbench.py", line 341, in forward_and_backward_pass | |
| cloned_inputs = clone_inputs(inputs) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: call_method NNModuleVariable() zero_grad [ConstantVariable(bool)] {} from user code at File "benchmarks/torchbench.py", line 342, in <graph break in forward_and_backward_pass> | |
| mod.zero_grad(True) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: Dynamic slicing not supported from user code at File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 43, in forward | |
| x = self.embedding(x, segment_info) | |
| File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward | |
| x = self.token(sequence) + self.position(sequence) |
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| cuda train BERT_pytorch torchdynamo.symbolic_convert: [WARNING] Graph break: call_function in skip_files /scratch/whc/work/torchdynamo/torchdynamo/utils.py from user code at File "benchmarks/torchbench.py", line 341, in forward_and_backward_pass | |
| cloned_inputs = clone_inputs(inputs) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: call_method NNModuleVariable() zero_grad [ConstantVariable(bool)] {} from user code at File "benchmarks/torchbench.py", line 342, in <graph break in forward_and_backward_pass> | |
| mod.zero_grad(True) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: Dynamic slicing not supported from user code at File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 43, in forward | |
| x = self.embedding(x, segment_info) | |
| File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward | |
| x = self.token(sequence) + self.position(sequence) |
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| cuda train BERT_pytorch torchdynamo.symbolic_convert: [WARNING] Graph break: call_function in skip_files /scratch/whc/work/torchdynamo/torchdynamo/utils.py from user code at File "benchmarks/torchbench.py", line 341, in forward_and_backward_pass | |
| cloned_inputs = clone_inputs(inputs) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: call_method NNModuleVariable() zero_grad [ConstantVariable(bool)] {} from user code at File "benchmarks/torchbench.py", line 342, in <graph break in forward_and_backward_pass> | |
| mod.zero_grad(True) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: Dynamic slicing not supported from user code at File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 43, in forward | |
| x = self.embedding(x, segment_info) | |
| File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward | |
| x = self.token(sequence) + self.position(sequence) |
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| cuda train BERT_pytorch torchdynamo.symbolic_convert: [WARNING] Graph break: call_function in skip_files /scratch/whc/work/torchdynamo/torchdynamo/utils.py from user code at File "benchmarks/torchbench.py", line 341, in forward_and_backward_pass | |
| cloned_inputs = clone_inputs(inputs) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: call_method NNModuleVariable() zero_grad [ConstantVariable(bool)] {} from user code at File "benchmarks/torchbench.py", line 342, in <graph break in forward_and_backward_pass> | |
| mod.zero_grad(True) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: Dynamic slicing not supported from user code at File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 43, in forward | |
| x = self.embedding(x, segment_info) | |
| File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward | |
| x = self.token(sequence) + self.position(sequence) |
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| cuda train BERT_pytorch torchdynamo.symbolic_convert: [WARNING] Graph break: call_function in skip_files /scratch/whc/work/torchdynamo/torchdynamo/utils.py from user code at File "benchmarks/torchbench.py", line 341, in forward_and_backward_pass | |
| cloned_inputs = clone_inputs(inputs) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: call_method NNModuleVariable() zero_grad [ConstantVariable(bool)] {} from user code at File "benchmarks/torchbench.py", line 342, in <graph break in forward_and_backward_pass> | |
| mod.zero_grad(True) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: Dynamic slicing not supported from user code at File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 43, in forward | |
| x = self.embedding(x, segment_info) | |
| File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward | |
| x = self.token(sequence) + self.position(sequence) |
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| cuda train BERT_pytorch torchdynamo.symbolic_convert: [WARNING] Graph break: call_function in skip_files /scratch/whc/work/torchdynamo/torchdynamo/utils.py from user code at File "benchmarks/torchbench.py", line 341, in forward_and_backward_pass | |
| cloned_inputs = clone_inputs(inputs) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: call_method NNModuleVariable() zero_grad [ConstantVariable(bool)] {} from user code at File "benchmarks/torchbench.py", line 342, in <graph break in forward_and_backward_pass> | |
| mod.zero_grad(True) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: Dynamic slicing not supported from user code at File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 43, in forward | |
| x = self.embedding(x, segment_info) | |
| File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward | |
| x = self.token(sequence) + self.position(sequence) |
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| cuda train BERT_pytorch torchdynamo.symbolic_convert: [WARNING] Graph break: call_function in skip_files /scratch/whc/work/torchdynamo/torchdynamo/utils.py from user code at File "benchmarks/torchbench.py", line 341, in forward_and_backward_pass | |
| cloned_inputs = clone_inputs(inputs) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: call_method NNModuleVariable() zero_grad [ConstantVariable(bool)] {} from user code at File "benchmarks/torchbench.py", line 342, in <graph break in forward_and_backward_pass> | |
| mod.zero_grad(True) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: Dynamic slicing not supported from user code at File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 43, in forward | |
| x = self.embedding(x, segment_info) | |
| File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward | |
| x = self.token(sequence) + self.position(sequence) |
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| cuda train BERT_pytorch torchdynamo.symbolic_convert: [WARNING] Graph break: call_function in skip_files /scratch/whc/work/torchdynamo/torchdynamo/utils.py from user code at File "benchmarks/torchbench.py", line 341, in forward_and_backward_pass | |
| cloned_inputs = clone_inputs(inputs) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: call_method NNModuleVariable() zero_grad [ConstantVariable(bool)] {} from user code at File "benchmarks/torchbench.py", line 342, in <graph break in forward_and_backward_pass> | |
| mod.zero_grad(True) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: Dynamic slicing not supported from user code at File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 43, in forward | |
| x = self.embedding(x, segment_info) | |
| File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward | |
| x = self.token(sequence) + self.position(sequence) |
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| cuda train BERT_pytorch torchdynamo.symbolic_convert: [WARNING] Graph break: call_function in skip_files /scratch/whc/work/torchdynamo/torchdynamo/utils.py from user code at File "benchmarks/torchbench.py", line 341, in forward_and_backward_pass | |
| cloned_inputs = clone_inputs(inputs) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: call_method NNModuleVariable() zero_grad [ConstantVariable(bool)] {} from user code at File "benchmarks/torchbench.py", line 342, in <graph break in forward_and_backward_pass> | |
| mod.zero_grad(True) | |
| torchdynamo.symbolic_convert: [WARNING] Graph break: Dynamic slicing not supported from user code at File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/bert.py", line 43, in forward | |
| x = self.embedding(x, segment_info) | |
| File "/scratch/whc/work/torchbenchmark/torchbenchmark/models/BERT_pytorch/bert_pytorch/model/embedding/bert.py", line 32, in forward | |
| x = self.token(sequence) + self.position(sequence) |