how to convert pytorch model to onnx

Sure thing! Converting a PyTorch model to ONNX (Open Neural Network Exchange) format is a common step when you want to deploy your model across different frameworks or inference engines. Here's a step-by-step tutorial with a code example:
Make sure you have PyTorch and ONNX installed. You can install them using:
For demonstration purposes, let's create a simple PyTorch model and train it. Here's a basic example:
Now, let's export the PyTorch model to ONNX format. You need to provide the input tensor shape, which is important for ONNX to correctly export the model.
If there are no errors, the ONNX model is successfully exported and ready for deployment.
That's it! You've successfully converted a PyTorch model to ONNX format. You can now use the ONNX model with frameworks like TensorFlow, deploy it to ONNX Runtime, or integrate it into other platforms that support ONNX.
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