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This repository has been archived by the owner on Nov 11, 2023. It is now read-only.
I follow the procedure,but fail at the last step. I get the ValueError: 'F.sigmoid(d0)' is not a valid scope name.
Here is part of my pip list:
onnx 1.8.0
onnx-simplifier 0.2.19
onnxoptimizer 0.1.1
onnxruntime 1.5.2
openvino-python 2021.1
openvino2tensorflow 0.4.7
tensorflow 2.3.1
torch 1.7.0+cu101
torchaudio 0.7.0
torchvision 0.8.1+cu101
I git clone openvino and open_model_zoo from the openvino github and use open_model_zoo/tools/downloader/pytorch_to_onnx.py, openvino/model-optimizer/mo.py in master branch. I get a different output u2netp_320x320_opt.xml but not u2netp_320x320.xml in step 6.8. How to solve the ValueError? Also, I will try to convert more openvino model.
The text was updated successfully, but these errors were encountered:
I follow the procedure,but fail at the last step. I get the ValueError: 'F.sigmoid(d0)' is not a valid scope name.
Here is part of my pip list:
onnx 1.8.0
onnx-simplifier 0.2.19
onnxoptimizer 0.1.1
onnxruntime 1.5.2
openvino-python 2021.1
openvino2tensorflow 0.4.7
tensorflow 2.3.1
torch 1.7.0+cu101
torchaudio 0.7.0
torchvision 0.8.1+cu101
I git clone openvino and open_model_zoo from the openvino github and use open_model_zoo/tools/downloader/pytorch_to_onnx.py, openvino/model-optimizer/mo.py in master branch. I get a different output u2netp_320x320_opt.xml but not u2netp_320x320.xml in step 6.8. How to solve the ValueError? Also, I will try to convert more openvino model.
The text was updated successfully, but these errors were encountered: