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onnxruntime-node-gpu

v1.14.0

Published

2 years ago

Drop-in replacement for onnxruntime-node with DirectML and Cuda support

Downloads

36

0High
0Medium
0Low

ONNX runtime for node with gpu support (DirectML/Cuda)

Info

This is an updated copy of official onnxruntime-node with DirectML and Cuda support.

Requirements

Windows

Works out of the box with DirectML. You can install CUDA and onnx runtime for windows with cuda provider for experiments, if you like.

Linux / WSL2

Install CUDA (tested only on 11-7 but 12 should be supported) https://docs.nvidia.com/cuda/cuda-installation-guide-linux/
Install onnxruntime-linux-x64-gpu-1.14.1 https://github.com/microsoft/onnxruntime/releases/tag/v1.14.1

Limitations

Currently, all results are returned as NAPI nodejs objects, so when you run inference multiple times (e.g. sampling on StableDiffusion Unet), there are a lot of unnecessary memory copy operations input from js to gpu and back. However, performance impact is not big. Maybe later I will make output in Tensorflow.js compatible tensors

Building manually

Just download the repo and run npx cmake-js compile

Why is onnxruntime statically linked on Windows?

For some reason, dynamically linked onnx runtime tries to load outdated DirectML.dll in system32, see https://github.com/royshil/obs-backgroundremoval/issues/272

Misc

Special thanks to authors of https://github.com/royshil/obs-backgroundremoval and https://github.com/umireon/onnxruntime-static-win for CMake scripts to download pre-built onnxruntime for static linking.

Also thanks to ChatGPT for helping me to remember how to code in c++.

You can ask me questions on Twitter