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October 24, 2025 12:29
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| Model | Status | Error Type | Error Message | Full Traceback | |
|---|---|---|---|---|---|
| ConvNeXt | Success | ||||
| EfficientNet | Failed | ConversionError | Failed to convert the exported program to an ONNX model. [96mThis is step 3/3[0m of exporting the model to ONNX. Next steps: - If there is a missing ONNX function, implement it and register it to the registry. - If there is an internal error during ONNX conversion, debug the error and submit a PR to PyTorch. - Create an error report with `torch.onnx.export(..., report=True)`, and save the ExportedProgram as a pt2 file. Create an issue in the PyTorch GitHub repository against the [96m*onnx*[0m component. Attach the error report and the pt2 model. Error report has been saved to 'onnx_export_2025-10-24_08-22-58-034161_conversion.md'. ## Exception summary <class 'ValueError'>: Key 'b_features_0_1_running_mean' does not match the name of the value 'getitem_3'. Please use the value.name as the key. (Refer to the full stack trace above for more information.) | Traceback (most recent call last): File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_core.py", line 1475, in export onnx_program = _exported_program_to_onnx_program( decomposed_program, registry=registry ) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_core.py", line 1165, in _exported_program_to_onnx_program model.graph.initializers[value_name] = value ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/onnx_ir/_graph_containers.py", line 264, in __setitem__ raise ValueError( f"Key '{key}' does not match the name of the value '{value.name}'. Please use the value.name as the key." ) ValueError: Key 'b_features_0_1_running_mean' does not match the name of the value 'getitem_3'. Please use the value.name as the key. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/var/folders/d8/265wdp1n0bn_r85dh3pp95fh0000gq/T/ipykernel_75925/728818843.py", line 21, in <module> onnx_program = torch.onnx.export( m, ...<3 lines>... dynamo=True, ) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/__init__.py", line 296, in export return _compat.export_compat( ~~~~~~~~~~~~~~~~~~~~~^ model, ^^^^^^ ...<20 lines>... legacy_export_kwargs=legacy_export_kwargs, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_compat.py", line 143, in export_compat onnx_program = _core.export( model, ...<11 lines>... verbose=verbose, ) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_flags.py", line 27, in wrapper return func(*args, **kwargs) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_core.py", line 1521, in export raise _errors.ConversionError( ...<3 lines>... ) from e torch.onnx._internal.exporter._errors.ConversionError: Failed to convert the exported program to an ONNX model. [96mThis is step 3/3[0m of exporting the model to ONNX. Next steps: - If there is a missing ONNX function, implement it and register it to the registry. - If there is an internal error during ONNX conversion, debug the error and submit a PR to PyTorch. - Create an error report with `torch.onnx.export(..., report=True)`, and save the ExportedProgram as a pt2 file. Create an issue in the PyTorch GitHub repository against the [96m*onnx*[0m component. Attach the error report and the pt2 model. Error report has been saved to 'onnx_export_2025-10-24_08-22-58-034161_conversion.md'. ## Exception summary <class 'ValueError'>: Key 'b_features_0_1_running_mean' does not match the name of the value 'getitem_3'. Please use the value.name as the key. (Refer to the full stack trace above for more information.) | |
| MobileNetV2 | Failed | ConversionError | Failed to convert the exported program to an ONNX model. [96mThis is step 3/3[0m of exporting the model to ONNX. Next steps: - If there is a missing ONNX function, implement it and register it to the registry. - If there is an internal error during ONNX conversion, debug the error and submit a PR to PyTorch. - Create an error report with `torch.onnx.export(..., report=True)`, and save the ExportedProgram as a pt2 file. Create an issue in the PyTorch GitHub repository against the [96m*onnx*[0m component. Attach the error report and the pt2 model. Error report has been saved to 'onnx_export_2025-10-24_08-23-01-437732_conversion.md'. ## Exception summary <class 'ValueError'>: Key 'b_features_0_1_running_mean' does not match the name of the value 'getitem_3'. Please use the value.name as the key. (Refer to the full stack trace above for more information.) | Traceback (most recent call last): File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_core.py", line 1475, in export onnx_program = _exported_program_to_onnx_program( decomposed_program, registry=registry ) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_core.py", line 1165, in _exported_program_to_onnx_program model.graph.initializers[value_name] = value ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/onnx_ir/_graph_containers.py", line 264, in __setitem__ raise ValueError( f"Key '{key}' does not match the name of the value '{value.name}'. Please use the value.name as the key." ) ValueError: Key 'b_features_0_1_running_mean' does not match the name of the value 'getitem_3'. Please use the value.name as the key. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/var/folders/d8/265wdp1n0bn_r85dh3pp95fh0000gq/T/ipykernel_75925/728818843.py", line 21, in <module> onnx_program = torch.onnx.export( m, ...<3 lines>... dynamo=True, ) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/__init__.py", line 296, in export return _compat.export_compat( ~~~~~~~~~~~~~~~~~~~~~^ model, ^^^^^^ ...<20 lines>... legacy_export_kwargs=legacy_export_kwargs, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_compat.py", line 143, in export_compat onnx_program = _core.export( model, ...<11 lines>... verbose=verbose, ) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_flags.py", line 27, in wrapper return func(*args, **kwargs) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_core.py", line 1521, in export raise _errors.ConversionError( ...<3 lines>... ) from e torch.onnx._internal.exporter._errors.ConversionError: Failed to convert the exported program to an ONNX model. [96mThis is step 3/3[0m of exporting the model to ONNX. Next steps: - If there is a missing ONNX function, implement it and register it to the registry. - If there is an internal error during ONNX conversion, debug the error and submit a PR to PyTorch. - Create an error report with `torch.onnx.export(..., report=True)`, and save the ExportedProgram as a pt2 file. Create an issue in the PyTorch GitHub repository against the [96m*onnx*[0m component. Attach the error report and the pt2 model. Error report has been saved to 'onnx_export_2025-10-24_08-23-01-437732_conversion.md'. ## Exception summary <class 'ValueError'>: Key 'b_features_0_1_running_mean' does not match the name of the value 'getitem_3'. Please use the value.name as the key. (Refer to the full stack trace above for more information.) | |
| ResNet | Failed | ConversionError | Failed to convert the exported program to an ONNX model. [96mThis is step 3/3[0m of exporting the model to ONNX. Next steps: - If there is a missing ONNX function, implement it and register it to the registry. - If there is an internal error during ONNX conversion, debug the error and submit a PR to PyTorch. - Create an error report with `torch.onnx.export(..., report=True)`, and save the ExportedProgram as a pt2 file. Create an issue in the PyTorch GitHub repository against the [96m*onnx*[0m component. Attach the error report and the pt2 model. Error report has been saved to 'onnx_export_2025-10-24_08-23-04-738877_conversion.md'. ## Exception summary <class 'ValueError'>: Key 'b_bn1_running_mean' does not match the name of the value 'getitem_3'. Please use the value.name as the key. (Refer to the full stack trace above for more information.) | Traceback (most recent call last): File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_core.py", line 1475, in export onnx_program = _exported_program_to_onnx_program( decomposed_program, registry=registry ) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_core.py", line 1165, in _exported_program_to_onnx_program model.graph.initializers[value_name] = value ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^ File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/onnx_ir/_graph_containers.py", line 264, in __setitem__ raise ValueError( f"Key '{key}' does not match the name of the value '{value.name}'. Please use the value.name as the key." ) ValueError: Key 'b_bn1_running_mean' does not match the name of the value 'getitem_3'. Please use the value.name as the key. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/var/folders/d8/265wdp1n0bn_r85dh3pp95fh0000gq/T/ipykernel_75925/728818843.py", line 21, in <module> onnx_program = torch.onnx.export( m, ...<3 lines>... dynamo=True, ) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/__init__.py", line 296, in export return _compat.export_compat( ~~~~~~~~~~~~~~~~~~~~~^ model, ^^^^^^ ...<20 lines>... legacy_export_kwargs=legacy_export_kwargs, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_compat.py", line 143, in export_compat onnx_program = _core.export( model, ...<11 lines>... verbose=verbose, ) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_flags.py", line 27, in wrapper return func(*args, **kwargs) File "/Users/SML161/miniconda3/envs/opso_dev/lib/python3.13/site-packages/torch/onnx/_internal/exporter/_core.py", line 1521, in export raise _errors.ConversionError( ...<3 lines>... ) from e torch.onnx._internal.exporter._errors.ConversionError: Failed to convert the exported program to an ONNX model. [96mThis is step 3/3[0m of exporting the model to ONNX. Next steps: - If there is a missing ONNX function, implement it and register it to the registry. - If there is an internal error during ONNX conversion, debug the error and submit a PR to PyTorch. - Create an error report with `torch.onnx.export(..., report=True)`, and save the ExportedProgram as a pt2 file. Create an issue in the PyTorch GitHub repository against the [96m*onnx*[0m component. Attach the error report and the pt2 model. Error report has been saved to 'onnx_export_2025-10-24_08-23-04-738877_conversion.md'. ## Exception summary <class 'ValueError'>: Key 'b_bn1_running_mean' does not match the name of the value 'getitem_3'. Please use the value.name as the key. (Refer to the full stack trace above for more information.) | |
| SqueezeNet | Success | ||||
| VGG | Success |
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