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The code seems that the image loading method is slow. For example, I think the code should load learning images in parallel. Current:
denoising-diffusion-pytorch/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
Line 601 in f900f40
After: self.dl = cycle(data.DataLoader(self.ds, batch_size = train_batch_size, num_workers=os.cpu_count(), shuffle=True, pin_memory=True))
self.dl = cycle(data.DataLoader(self.ds, batch_size = train_batch_size, num_workers=os.cpu_count(), shuffle=True, pin_memory=True))
May I make an pull request?
The text was updated successfully, but these errors were encountered:
for #36
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The code seems that the image loading method is slow.
For example, I think the code should load learning images in parallel.
Current:
denoising-diffusion-pytorch/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
Line 601 in f900f40
After:
self.dl = cycle(data.DataLoader(self.ds, batch_size = train_batch_size, num_workers=os.cpu_count(), shuffle=True, pin_memory=True))
May I make an pull request?
The text was updated successfully, but these errors were encountered: