I got this ERROR: RuntimeError: stack expects each tensor to be equal size

[Leonacelli]

Anyone know what's wrong?

[Leonacelli]

Making model... Preparing loss function: 1.000 * L1 /usr/local/lib/python3.7/dist-packages/torch/optim/lr_scheduler.py:417: UserWarning: To get the last learning rate computed by the scheduler, please use get_last_lr(). "please use get_last_lr().", UserWarning) [Epoch 1] Learning rate: 1.00e-4 Traceback (most recent call last): File "/content/EDSR-PyTorch/src/main.py", line 33, in main() File "/content/EDSR-PyTorch/src/main.py", line 27, in main t.train() File "/content/EDSR-PyTorch/src/trainer.py", line 42, in train for batch, (lr, hr, _,) in enumerate(self.loader_train): File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 521, in next data = self._next_data() File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 1203, in _next_data return self._process_data(data) File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 1229, in _process_data data.reraise() File "/usr/local/lib/python3.7/dist-packages/torch/_utils.py", line 434, in reraise raise exception RuntimeError: Caught RuntimeError in DataLoader worker process 0. Original Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop data = fetcher.fetch(index) File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch return self.collate_fn(data) File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/collate.py", line 84, in default_collate return [default_collate(samples) for samples in transposed] File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/collate.py", line 84, in return [default_collate(samples) for samples in transposed] File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/collate.py", line 56, in default_collate return torch.stack(batch, 0, out=out) RuntimeError: stack expects each tensor to be equal size, but got [3, 0, 96] at entry 0 and [3, 96, 0] at entry 1

[Leonacelli]

Seems like a "batch-size" problem, but I don't know how to fix it. I try to fix it by using "transforms.Resize() ", but failed.

[Runner-2019]

HI, I met same question as you. Are you Chinese?

[hxhdnd]

Seems like a "batch-size" problem, but I don't know how to fix it. I try to fix it by using "transforms.Resize() ", but failed.

Hi !Have you solved the problem? I met the same problem.

[Zency-Sun]

Hello may I ask how did you solve it? @Leonacelli