Comments (2)
eeric
commented on June 27, 2024
2
ResNet18 model pruned successfully,code in
https://github.com/eeric/channel_prune
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jiayouba120035
commented on June 27, 2024
hello, I have some problem with jacob's code, and want to ask you did you implement the code, when I run "python finetune --train",the test accuracy is always about 50%, but the train accuracy is more than 95%, did you have the problem like this, I see you want to prune ResNet, so asking you whether you implement the code. thank you in advance!
from pytorch-pruning.
Related Issues (20)
- Python 3.6, pytorch 0.4.1, getting RuntimeError: Dimension out of range (expected to be in range of [-2, 1], but got 3) HOT 4
- torch.load(pruned_model) HOT 7
- vgg16 has 13 conv layers, how can you prune neurons on layer 28? HOT 2
- [CUDA Runtime Error] Assertion `t >= 0 && t < n_classes` failed. HOT 5
- Accuracy drops from 96.46% to 58.67% HOT 1
- train_path
- Time of 1 pruning iteration
- in finetune.py 117 Why "-i"?? HOT 2
- Getting Error in pruning HOT 1
- pruning conv layers with 'groups' > 1
- Batch Nomalization
- I wonder if this pruning approach can be adapted to net like resnet
- layer_index
- how Pruning the last conv layer affects the first linear layer of the classifier
- can u plz tell me how to resolve this issue of not getting training data path
- where is prune_conv_layer?
- Will the pruned weight reactivated after finetuning?
- Running project in google colab
- running project on Anaconda Jupyter Notebook
- Pruning model YOLOX using 'import torch.nn.utils.prune as prune'
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