Deep-Compression-PyTorch
Deep-Compression-PyTorch copied to clipboard
some problem in quantization
@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 <= 2 array or matrix" in using csc_matrix . How to fix the problem? can you give me some advice ? Thank you!
I have the same problem when i apply quantization to the conv layers' weight.
@chen-ming2019 明哥,实在没办法了,我没您的联系方式,我想问您一下ECO代码的训练集的准确度,希望您能回复我一下,我得到的是top1=78%,top5=91.5%,我看您top1都达到91%,我想询问您一下具体细节!万分感谢!!!
@chen-ming2019 明哥,实在没办法了,我没您的联系方式,我想问您一下ECO代码的训练集的准确度,希望您能回复我一下,我得到的是top1=78%,top5=91.5%,我看您top1都达到91%,我想询问您一下具体细节!万分感谢!!!
实在不好意思,我回答不了你的问题,但是希望你可以帮我看看我的问题,我目前代码没有调通。我的错误是:
PS C:\PycharmProjects\HS_Compression\Deep-Compression-PyTorch-master> python weight_share.py saves/model_after_retraining.ptmodel
Traceback (most recent call last):
File "C:\PycharmProjects\HS_Compression\Deep-Compression-PyTorch-master\weight_share.py", line 8, in
File "C:\PycharmProjects\HS_Compression\Deep-Compression-PyTorch-master\util.py", line 8, in
from torchvision import datasets, transforms
ModuleNotFoundError: No module named 'torchvision'
但是我确实已经有了“torchvision”这个模块了