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[using stable PyTorch 1.9] RuntimeError: The expanded size of the tensor (64) must match the existing size (66) at non-singleton dimension 2. Target sizes: [256, 66, 64]. Tensor sizes: [256, 66]
#24
Closed
monajalal opened this issue
Aug 20, 2021
· 2 comments
If you run the code in the current stable version of PyTorch 1.9, we will have:
(fashcomp) [jalal@goku fashion-compatibility]$ python main.py --test --l2_embed --resume runs/nondisjoint_l2norm/model_best.pth.tar --datadir ../../../data/fashion/
/scratch3/venv/fashcomp/lib/python3.8/site-packages/torchvision/transforms/transforms.py:310: UserWarning: The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead.
warnings.warn("The use of the transforms.Scale transform is deprecated, " +
=> loading checkpoint 'runs/nondisjoint_l2norm/model_best.pth.tar'
=> loaded checkpoint 'runs/nondisjoint_l2norm/model_best.pth.tar' (epoch 5)
/scratch3/venv/fashcomp/lib/python3.8/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.)
return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode)
Traceback (most recent call last):
File "main.py", line 312, in <module>
main()
File "main.py", line 149, in main
test_acc = test(test_loader, tnet)
File "main.py", line 244, in test
embeddings.append(tnet.embeddingnet(images).data)
File "/scratch3/venv/fashcomp/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "/scratch3/research/code/fashion/fashion-compatibility/type_specific_network.py", line 119, in forward
masked_embedding = masked_embedding / norm.expand_as(masked_embedding)
RuntimeError: The expanded size of the tensor (64) must match the existing size (66) at non-singleton dimension 2. Target sizes: [256, 66, 64]. Tensor sizes: [256, 66]
The text was updated successfully, but these errors were encountered:
[jalal@goku fashion-compatibility]$ source /scratch3/venv/fashcomp/bin/activate
(fashcomp) [jalal@goku fashion-compatibility]$ python main.py --test --l2_embed --resume runs/nondisjoint_l2norm/model_best.pth.tar --datadir ../../../data/fashion/
/scratch3/venv/fashcomp/lib/python3.8/site-packages/torchvision/transforms/transforms.py:310: UserWarning: The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead.
warnings.warn("The use of the transforms.Scale transform is deprecated, " +
=> loading checkpoint 'runs/nondisjoint_l2norm/model_best.pth.tar'
=> loaded checkpoint 'runs/nondisjoint_l2norm/model_best.pth.tar' (epoch 5)
/scratch3/venv/fashcomp/lib/python3.8/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.)
return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode)
test set: Compat AUC: 0.88 FITB: 57.6
Regarding #13
If you run the code in the current stable version of PyTorch 1.9, we will have:
The text was updated successfully, but these errors were encountered: