jack-willturner/batchnorm-pruning
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
Python
Issues
- 0
Does the code implement the process “absorb constant channels into next layer”?
#14 opened by KarsonL - 0
- 2
- 2
TypeError: ResNet18Compressed() missing 1 required positional argument: 'channels'
#12 opened by LanWong1 - 0
out of memory
#11 opened by JHsunshine - 0
A doubt about sgd.py
#10 opened by talebolano - 0
Channel number mismatch
#9 opened by luluvi - 0
finetune problem
#8 opened by luluvi - 1
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- 0
Output reduced model
#1 opened by jack-willturner - 0
Tensorboard support
#3 opened by jack-willturner - 0
Parser support for hyperparams
#5 opened by jack-willturner - 0
Make hyperband-friendly
#2 opened by jack-willturner