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This PR adds support for
tissue_fast
brainchop
inference through tinygrad's WebGPU.net.js
which contains the exported WebGPU kernelsnet.safetensors
which contains the weights in safetensor formatort
inference calls withtinygrad
callsI tested with the dist build, had some issues with running the dev build.
To make it a de-factor drop-in replacement, the argmax is not included in the model, but I can move it in very easily.
Also, for now I just commented out the onnx calls, but for the final version I'd like to add a switch to change between onnx vs. tinygrad, plus some perf comparison.
Segmentation looks fine: