Comments (3)
jacobgil
commented on June 27, 2024
Hi,
Are train_path/test_path defined correctly?
Inside the train directory, there should be two directories: cat and dog. As defined in the Readme.
What is the structure of your training directory?
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commented on June 27, 2024
Yes the train and test directories have cat and dog folders in them. I've followed the README.
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jacobgil
commented on June 27, 2024
Can you please post the exact names of the train/test directories?
Are they with capital letters or without?
I'm seeing that you're using the default params for the train/test, perhaps there is a mismatch.
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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