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Title: Converting PyTorch Models to TorchScript: A Step-by-Step Tutorial
TorchScript is a powerful tool in PyTorch that allows you to export and deploy your PyTorch models in a production environment. It converts PyTorch models into a serialized format, which can be loaded and executed in various runtime environments, such as C++ or mobile devices. This tutorial will guide you through the process of converting a PyTorch model to TorchScript with a detailed code example.
Before you start, make sure you have the following prerequisites installed:
For the purpose of this tutorial, let's create a simple PyTorch model and train it on a sample dataset. Here's an example:
Once you have a trained PyTorch model, you can convert it to TorchScript using the torch.jit.trace function. Here's how you can do it:
Now, traced_model is your PyTorch model converted to TorchScript. You can save it to a file for later use.
Save the TorchScript model to a file using the torch.jit.save function:
Now, you have a serialized TorchScript model saved to the file named 'traced_model.pt'.
Congratulations! You've successfully converted a PyTorch model to TorchScript. This serialized model can be deployed in various environments for production use. Remember to adapt the code examples to your specific model architecture and requirements.
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