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Running on the cats and dogs dataset, your repo does not work given the following error
my@my:~/Dropbox/x/CV/pytorch-pruning$ CUDA_VISIBLE_DEVICES=0 python finetune.py --train
PrunningFineTuner
('Train folder size', 25000)
('Test folder size', 25000)
fine_tuner.train()
Epoch: 0
Traceback (most recent call last):
File "finetune.py", line 273, in
fine_tuner.train(epoches = 3)
File "finetune.py", line 164, in train
self.train_epoch(optimizer)
File "finetune.py", line 181, in train_epoch
for batch, label in self.train_data_loader:
File "/home/my/anaconda2/lib/python2.7/site-packages/torch/utils/data/dataloader.py", line 212, in next
return self._process_next_batch(batch)
File "/home/my/anaconda2/lib/python2.7/site-packages/torch/utils/data/dataloader.py", line 239, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
RuntimeError: Traceback (most recent call last):
File "/home/my/anaconda2/lib/python2.7/site-packages/torch/utils/data/dataloader.py", line 41, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/my/anaconda2/lib/python2.7/site-packages/torch/utils/data/dataloader.py", line 110, in default_collate
return [default_collate(samples) for samples in transposed]
File "/home/my/anaconda2/lib/python2.7/site-packages/torch/utils/data/dataloader.py", line 92, in default_collate
return torch.stack(batch, 0, out=out)
File "/home/my/anaconda2/lib/python2.7/site-packages/torch/functional.py", line 60, in stack
return torch.cat(inputs, dim, out=out)
RuntimeError: inconsistent tensor sizes at /py/conda-bld/pytorch_1493676237139/work/torch/lib/TH/generic/THTensorMath.c:2559
The text was updated successfully, but these errors were encountered:
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.
Running on the cats and dogs dataset, your repo does not work given the following error
The text was updated successfully, but these errors were encountered: