Hi All,
I am getting an error -
File “c:\Users\Paritosh\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py”, line 232, in
return [default_collate(samples) for samples in transposed]
File “c:\Users\Paritosh\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py”, line 218, in default_collate
return torch.stack([torch.from_numpy(b) for b in batch], 0)
RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 5 and 8 in dimension 1 at c:\a\w\1\s\tmp_conda_3.6_122405\conda\conda-bld\pytorch_1549283197917\work\aten\src\th\generic/THTensorMoreMath.cpp:1307
While I am using batchsize=1 then I am not getting any error.
Could I ask the stupid question, what’s the meaning of “different shapes (5 or 8).” ? For e.g., My input shape is (3,512,512)(chw) and the outpust shape is (80, 128,128), if some data get shape 5 or 8, which dimension of the data is 5 or 8
I am having the same error which also doesn’t occur when I use a batch size of 1.
Looped through the dataset and can confirm all images are 3x224x224 and all annotations are 1x224x224.
RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 224 and 244 in dimension 2 at /tmp/pip-req-build-9oilk29k/aten/src/TH/generic/THTensor.cpp:689
How is that happening? It even says 224 and 224 in dimension 2 which doesn’t make sense. Shouldn’t this exception occur when they aren’t matching?
I asked this as a separate question here and on SO. Then I noticed that it is not 224x224 but 224x244 and got mad. I am so blind. Anyways changing that one image manually in my case (or using a resize transformation) did the job.
PS: I have noticed how much you help on this forum even before signing up. You are the real MVP.