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tfjs is dead, looking at the commit history. The standard now is to convert PyTorch to onnx, then use onnxruntime (https://github.com/microsoft/onnxruntime/tree
by ipsum2 3y ago
tfjs is dead, looking at the commit history. The standard now is to convert PyTorch to onnx, then use onnxruntime (https://github.com/microsoft/onnxruntime/tree/main/js/web https://github.com/microsoft/onnxruntime/tree/main/js/web) to run the model on the browser using webassembly/webGL (and nodejs if you wanted to, but why?).
- fire_lake 3y ago> nodejs if you wanted to, but why? Node.js is better backend than something like Flask.
- ipsum2 3y agoPerformance is a lot worse on NodeJS with a WebAssembly/WebGL backend versus Flask with a PyTorch/CUDA backend.
- throwaway4aday 3y agoIf you're using Node you can write whatever you want in C++ and then add a binding to call it from within your Node app. Don't need WebGL.
- ipsum2 3y agoYeah, but why...?
- goatlover 3y agoBut you're having to write whatever in C++ versus just using Flask/Pytorch.
- throwaway4aday 3y agoA lot of what you need is already written, you just need to find the right libraries and write the bindings. From my encounters with Python ML it seems like "just use Pytorch" is a bit like "simply walk into Mordor".