jacobgil/pytorch-pruning
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
Python
Issues
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Running project in google colab
#42 opened by tdd2454 - 0
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where is prune_conv_layer?
#40 opened by ooodragon94 - 0
can u plz tell me how to resolve this issue of not getting training data path
#39 opened by Farheen-github - 7
torch.load(pruned_model)
#26 opened by wuzhiyang2016 - 0
how Pruning the last conv layer affects the first linear layer of the classifier
#38 opened by Saharkakavand - 0
layer_index
#37 opened by zhanghongruiupup - 0
I wonder if this pruning approach can be adapted to net like resnet
#36 opened by alanMachineLeraning - 0
Batch Nomalization
#35 opened by xuexingyu24 - 0
pruning conv layers with 'groups' > 1
#34 opened by iariav - 2
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Getting Error in pruning
#33 opened by ritesh2212 - 9
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in finetune.py 117 Why "-i"??
#32 opened by toutuo - 0
Time of 1 pruning iteration
#31 opened by heuvel1995 - 7
Runtime Error
#17 opened by jagadeesh09 - 18
RuntimeError: dimension out of range (expected to be in range of [-2, 1], but got 3)
#6 opened by pgadosey - 0
train_path
#30 opened by 1105060120 - 1
Accuracy drops from 96.46% to 58.67%
#29 opened by oscarriddle - 1
RuntimeError: CUDNN_STATUS_BAD_PARAM
#1 opened - 4
Python 3.6, pytorch 0.4.1, getting RuntimeError: Dimension out of range (expected to be in range of [-2, 1], but got 3)
#25 opened by howtocodewang - 17
prune error:dimension out of range (expected to be in range of [-2, 1], but got 3)
#12 opened by hewumars - 0
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Out of memory,when I pruned model test
#19 opened by Tianxiaomo - 0
Missing labels in test
#20 opened by twmht - 7
how to speed up to model pruned?
#11 opened by eeric - 1
accuracy is always 1.0
#18 opened by ssxlconch - 0
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SqueezeNet Pruning
#14 opened by Kuldeep-Attri - 0
修建YOLOv2的话,剪掉一个卷积核都会使得准确率减为0是为什么呢?
#13 opened by nizihan - 1
how to use FLOPS REGULARIZED PRUNING
#10 opened by eeric - 2
ResNet model pruning
#8 opened by eeric - 2
About gradient
#3 opened by liuhengli - 0
Is it possible to use your code directly on other network like Resnet, Inception V3
#5 opened by guoxiaolu - 0
Mediocre Performance for Testing Speed
#9 opened by Connor323 - 0
the poor effect of fineturn
#7 opened by eeric - 3