Comments (1)
Please, read the README file carefuly to check whether the problem can be solved with the advice I put there. Namely:
Update: several commits have been pushed after training the models in Mega, so it is recommended to revert to e10c37d
So, pretraining was perfomed with an older version of this code. You can also run the trin script with the new code to get updated pretrained files. I'll do it when I have some time.
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Related Issues (18)
- Questions about the performances. HOT 23
- GPU memory usage during training HOT 1
- Pretrained model link broken HOT 4
- question about the input img size HOT 8
- Sublinear speed-up with dataparallel HOT 1
- Is the D right ? HOT 6
- About initial learning rate HOT 2
- The structure problem
- cannot run inference mismatch sizes HOT 2
- Could you provide the ResNeXt of Caffe version ?
- RuntimeError: Error(s) in loading state_dict for CifarResNeXt: HOT 1
- Can I directly convert TensorFlow's ResNext weight to pytorch's weight and use it directly? HOT 2
- question about the dimension of the net HOT 4
- GPU memory usage HOT 1
- Question about the number of channels HOT 4
- OSError: [Errno 12] Cannot allocate memory HOT 13
- TypeError: tensor(0, device='cuda:0') is not JSON serializable HOT 3
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from resnext.pytorch.