Скачать или смотреть pytorch model to onnx

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Sure, I'd be happy to provide you with a tutorial on converting a PyTorch model to ONNX format. ONNX (Open Neural Network Exchange) is an open standard for representing machine learning models, and it allows models to be transferred between different frameworks.
Let's go through the steps with a simple example. First, make sure you have PyTorch and ONNX installed in your Python environment:
Now, let's create a simple PyTorch model:
In this example, we created a simple linear regression model (SimpleModel) with one input and one output. The model is then exported to the ONNX format using torch.onnx.export.
Now, let's break down the important parameters in torch.onnx.export:
After running the above code, you should find a file named simple_model.onnx in your current working directory. This ONNX file can now be used with frameworks that support the ONNX format.
Remember that this is a simple example, and in real-world scenarios, you might need to handle more complex models and data preprocessing. Additionally, you might need to specify dynamic batch sizes and other details depending on your use case.
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