how to convert pytorch model to onnx
Автор: CodeMade
Загружено: 2024-01-05
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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.
Make sure to replace "simple_model.onnx" with your desired file path.
You can use the ONNX tools to verify the exported model. You can use the onnx.checker module:
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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