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Hi, thank you for your great work. I am curious if there are any possibility to export the PyTorch model to ONNX format? I quickly tried to export the encoder part with torch.onnx.export and torch.onnx.dynamo_export but with no luck. I change the inputs from dict to multiple tensors but still received this error:
RuntimeError: outerNode->outputs().size() == node->inputs().size() INTERNAL ASSERT FAILED at "../torch/csrc/jit/passes/dead_code_elimination.cpp":140, please report a bug to PyTorch.
I'd be interested if anyone has been able to convert the model to ONNX or knows that some parts of the model are definitely not supported. Thanks.
The text was updated successfully, but these errors were encountered:
Hello and thank you for your interest in our work. I don't have experience in exporting models in ONNX format, but it would be great if you could do it successfully and let us know to help other potential users.
Hi, thank you for your great work. I am curious if there are any possibility to export the PyTorch model to ONNX format? I quickly tried to export the encoder part with torch.onnx.export and torch.onnx.dynamo_export but with no luck. I change the inputs from dict to multiple tensors but still received this error:
RuntimeError: outerNode->outputs().size() == node->inputs().size() INTERNAL ASSERT FAILED at "../torch/csrc/jit/passes/dead_code_elimination.cpp":140, please report a bug to PyTorch.
I'd be interested if anyone has been able to convert the model to ONNX or knows that some parts of the model are definitely not supported. Thanks.
The text was updated successfully, but these errors were encountered: