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You can use QAT in PyTorch and TensorRT today with Torch-TensorRT https://nvidia.github.io/Torch-TensorRT/_notebooks/vgg-qat.html |
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TensorRT8.0 brings better quantized aware training targeted to Nvidia GPU in PyTorch. However, the toolkits are currently put in the repo: https://github.com/NVIDIA/TensorRT/tree/master/tools/pytorch-quantization.
I think it would be wonderful if Torch-TensorRT would support QAT since the optimization is less robust via onnx.
Is there any progress in PyTorch QAT supported in Torch-TensorRT
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