Deep-Compression-PyTorch
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Using LeNet5
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 because the shape of the first layer for example is considered with the kernel size, so I'm facing the following error: TypeError: expected dimension <= 2 array or matrix Is there a way to fix this problem?
@MiriamArbaji Hi, I also meet the same problem with you ,and can you solve the problem ?