gaussian37

DenseNet (Densely connected convolution networks)

deep learning 관련 글 목차 논문 : https://arxiv.org/pdf/1608.06993.pdf 참조 : https://pytorch.org/hub/pytorch_vision_densenet/ 참조 : https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py 참조...

2020, Jun 06 — 9 minute read

딥러닝의 Quantization (양자화)와 Quantization Aware Training

deep learning 관련 글 목차 참조 : https://arxiv.org/pdf/1806.08342.pdf (Quantizing deep convolutional networks for efficient inference:...

2020, May 30 — 11 minute read

Pytorch Quantization 정리

참조 : https://pytorch.org/docs/stable/quantization.html#torch.nn.intrinsic.ConvBnReLU2d 참조 : https://pytorch.org/blog/introduction-to-quantization-on-pytorch/ 참조 : https://pytorch.org/docs/stable/quantization.html 참조 : https://youtu.be/c3MT2qV5f9w 참조 : https://leimao.github.io/blog/PyTorch-Static-Quantization/...

2020, May 10 — 16 minute read

Pytorch DDP(Distributed Data Parallel) 정리

참조 : https://pytorch.org/docs/master/notes/ddp.html 참조 : https://pytorch.org/tutorials/intermediate/dist_tuto.html 참조 : https://tutorials.pytorch.kr/intermediate/dist_tuto.html 참조 : https://arxiv.org/pdf/2006.15704.pdf 참조 : https://stackoverflow.com/questions/58671916/in-torch-distributed-how-to-average-gradients-on-different-gpus-correctly...

2020, May 10 — 1 minute read