Скачать или смотреть convert pytorch pth to onnx

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Sure, here's an informative tutorial on converting a PyTorch model saved in a .pth file to ONNX format. ONNX (Open Neural Network Exchange) is an open format for representing deep learning models, allowing interoperability between different frameworks.
Make sure you have PyTorch and ONNX installed in your Python environment. You can install them using the following commands:
First, you need to load your PyTorch model from the .pth file. For this example, let's assume you have a model named my_model.pth. Replace it with your model file.
Create a sample input tensor that matches the input shape expected by your model.
Now, convert the PyTorch model to the ONNX format.
You can use the ONNX tools to check the validity of the exported model:
That's it! You have successfully converted a PyTorch model to the ONNX format. You can now use this ONNX model with other frameworks that support the ONNX format, such as TensorFlow.
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