Comments (3)
It might because of the shuffling in training data loader.
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Hello author, I tried setting shuffle =False in the Dataloader, but this problem still occurred. May I ask why?
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Hi, you could refer to https://pytorch.org/docs/stable/notes/randomness.html.
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Related Issues (10)
- pip install "git+https://github.com/facebookresearch/pytorch3d.git" falied HOT 5
- The problem about dataset HOT 1
- Contact map in inference HOT 1
- Can the data format use mano parameters? HOT 2
- demo.py cannot reproduce the REAME's result
- Contact Ratio , Entropy , Cluster Size HOT 3
- HO3D dataset HOT 3
- How to obtain evaluation metric? HOT 8
- GRAB pre-process
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