Deep-Compression-PyTorch

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running bug：

1

When i run the pruning.py, the following bug was raised, what's the possible problem? RuntimeError: An attempt has been made to start a new process before the current process has...

MrGreensjtu

some problem in quantization

3

@mightydeveloper Hi, I used the quantization script in my model .Because of the existing of convolution layer,I encountered an error named as "TypeError: expected dimension

chen-ming2019

problem in dataloader

2

when the num_worker of Dataloader is not zero, there would be an error. some people say it is because the multi-threads of windows is accomplished with spawn instead of fork....

xupengzheng

Custom architecture

1

@mightydeveloper hi thanks for the wonderful code base , i have following few queries 1.Can we reduce the weight size of the model with the following code base 2. can...

abhigoku10

y3sar

Hello, mightydeveloper. When I use 'weight_share.py' to compress the trained model, the error occured: AttributeError: 'ReLU' object has no attribute 'weight' . File "weight_share.py", line 32, in apply_weight_sharing(model) File "/net/quantization.py",...

SherlockHua1995

Hey! Thanks for this implementation! :) Do you have any idea as to how we can apply Huffman encoding on darknet .weights??

sicarioakki

Using LeNet5

1

I'm Trying to apply the whole compression process on LeNet5 instead of LeNet300-100 I Fixed some problems I Encountered but now in the quantization step, I can't use sparse matrices...

MiriamArbaji

When I use your`s Deep compression functin in MobileNet-V2 Model，I find some problem, 1. I need use kmeans in every weight among Layer, but the weight is different dimensions 2....

xieydd

Please tell me what should I do if I get the error KMeans.__init__() got an unexpected keyword argument 'precompute_distances' when I run weight_shared.py?

MrQinlala