Comments (2)
liuzhuang13
commented on June 19, 2024
1
Sorry we don't have any memory-efficient tensorflow implementation, as far as I know.
But I think for practical usage, you don't always need a memory-efficient implementation. Note that memory-efficient version still costs you at least the same amout of time. In most of time, if you have a 4-GPU machine, naive implementation is enough. Thanks!
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joeyearsley
commented on June 19, 2024
https://github.com/joeyearsley/efficient_densenet_tensorflow
Made using gradient checkpointing like the gpleiss repo does.
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Related Issues (20)
- Covolution before entering the first dense block for imagenet dataset HOT 1
- DenseNet on Pascal VOC HOT 2
- results on cifar100 HOT 1
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- Why is composite function BN-ReLU-Conv3x3 ? HOT 1
- Pretrained weights for the 0.8M parameters config HOT 1
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