Convert a PyTorch-based LLM to ONNX and optimize for deployment

Question

With the help of code can you tell me Convert a PyTorch-based LLM to ONNX and optimize for deployment.

Answer 1

You can convert a PyTorch-based LLM to ONNX and optimize it for deployment using torch.onnx.export followed by onnxruntime optimization tools.

Here is the code snippet below:

In the above code, we are using the following key points:

• torch.onnx.export for exporting a PyTorch model to ONNX format.

• Dynamic axes for flexible batch size support in deployment.

• ONNX Runtime quantization to optimize performance and reduce model size.

Hence, this conversion pipeline prepares a PyTorch model for fast and scalable production inference using ONNX.