Accelerate PyTorch transformer model training with ONNX Runtime – a deep dive - Microsoft Community Hub
![Convert a PyTorch Model to ONNX and OpenVINO™ IR — OpenVINO™ documentationCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy Convert a PyTorch Model to ONNX and OpenVINO™ IR — OpenVINO™ documentationCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy](https://user-images.githubusercontent.com/29454499/207099169-48dca3dc-a8eb-4e11-be92-40cebeec7a88.png)
Convert a PyTorch Model to ONNX and OpenVINO™ IR — OpenVINO™ documentationCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy
![torch export to ONNX with unwanted layers in AdaptiveAvgPool! · Issue #3831 · pytorch/vision · GitHub torch export to ONNX with unwanted layers in AdaptiveAvgPool! · Issue #3831 · pytorch/vision · GitHub](https://user-images.githubusercontent.com/20262193/118214299-10884600-b4a2-11eb-82a5-888ddc21fa98.png)