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Traininng Yolov5 by NHWC format to accelerate speed

Open Haoyanlong opened this issue 2 years ago • 2 comments

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Question

I want to accelerate the training speed by NHWC of yolov5s, but I find the speed descend as follows. Could you give me some advice?Thank you very much! image

codes as follows:

momory_format = torch.channels_last
model = model.to(device).to(memory_format=memory_format)
imgs = imgs.to(device, memory_format=torch.channels_last)

outs = model(imgs)

Additional

No response

Haoyanlong avatar Aug 09 '22 12:08 Haoyanlong

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github-actions[bot] avatar Aug 09 '22 12:08 github-actions[bot]

@Haoyanlong very interesting! Do you have the full benchmarking script? I wonder if you need to make the images and model parameters contiguous after the change? https://pytorch.org/docs/stable/generated/torch.Tensor.contiguous.html

glenn-jocher avatar Aug 09 '22 20:08 glenn-jocher

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

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github-actions[bot] avatar Sep 09 '22 00:09 github-actions[bot]