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PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference

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Hi I am working on Tesla K40, 12 GB GPU machine. I am facing this error constantly. If I calculate the required memory for VGG model with respect to the...

when running the project, errors occurs and don't know why ![image](https://user-images.githubusercontent.com/97485757/158068491-fa606dd8-2804-40e8-89a9-751fa75649e1.png) maybe someone can help me with this?

Hello, I am new to github and pytorch. I do not know if my question is appropriate. I have cloned the project to google colab and run the command line...

@jacobgil I find there is no limits when using `optimizer.step()`. So the pruned weight will get a gradient and after stepping, it will be no longer **0** which means it...

I don't see it stated anywhere it is in prune.py

when i use torch.load() to load pruned model , error happened: AttributeError: 'module' object has no attribute 'ModifiedVGG16Model', anyone meet this problem?

I trained the vgg and saved the model as pth file. then I load it for pruning some filters of it. the last conv after pruning is not 512 anymore,...

why set layer_index=28, filter_index=10? thanks?

I wonder if this pruning approach can be adapted to net like resnet