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로봇 ML 모델의 경량화 1부: 훈련 후 양자화

Woowa Brothers Tech · published 22 August 2024

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https://blogs.nvidia.co.kr/blog/nvidia-tensor-rt/

blogs.nvidia.co.kr

https://developer.nvidia.com/blog/tensorrt-integration-speeds-tensorflow-inference/

developer.nvidia.com

https://developer.nvidia.com/blog/achieving-fp32-accuracy-for-int8-inference-using-quantization-aware-training-with-tensorrt/

developer.nvidia.com

https://pytorch.org/

pytorch.org

https://arxiv.org/abs/1512.03385

arxiv.org

https://huggingface.co/datasets/ILSVRC/imagenet-1k

huggingface.co

https://onnx.ai/

onnx.ai

https://pytorch.org/docs/stable/jit.html

pytorch.org

https://pytorch.org/TensorRT/

pytorch.org

https://developer.nvidia.com/ko-kr/blog/torch-tensorrt%EB%A5%BC-%ED%86%B5%ED%95%B4-pytorch%EC%97%90%EC%84%9C-%EC%B6%94%EB%A1%A0-%EC%86%8D%EB%8F%84-%EC%B5%9C%EB%8C%80-6%EB%B0%B0-%ED%96%A5%EC%83%81%ED%95%98%EA%B8%B0/

developer.nvidia.com

https://onnx.ai/onnx/

onnx.ai

https://github.com/NVIDIA/TensorRT/tree/main/tools/Polygraphy

github.com

로봇 ML 모델의 경량화 2부: 양자화 인식 훈련 Read at the source ↗

techblog.woowahan.com