Related Issues (20)
- Can we test using the trained model. HOT 1
- Inference time issue HOT 1
- New adaptive pooling layer. HOT 1
- Unable to run demo.
- How about the version of the torchvision, project killer and pyhon-fire? HOT 1
- Question: why use bn_function on 1x1 conv, not on 3x3 conv HOT 1
- What is bn_size? HOT 3
- 网络内存消耗?
- Is it possible to provide ImageNet pre-trained models? HOT 2
- Is this really memory efficient? HOT 1
- Is the normalizatin values for CIFAR-10 correct? HOT 1
- test error interpretation HOT 1
- How can I apply this to my own model? HOT 1
- AttributeError: module 'fire' has no attribute 'Fire' HOT 8
- The function received no value for the required argument: data HOT 2
- The BN running mean&var with torch.utils.checkpoint.checkpoint HOT 2
- will the inference memory reduced too? HOT 1
- Question about the place of checkpoint (shared memory allocation) HOT 1
- Excuse me, what is the cause of this problem? HOT 1
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from efficient_densenet_pytorch.