RuntimeError: view size is not compatible with input tensor's size and stride

[krumnack]

Trying to run the trainer on a recent installation (CUDA toolkit 11.0, cudnn 8.0, pytorch 1.7.0) I get the following error:

Start training epoch 1
  0%|                                                                                                                                                             | 0/391 [00:01<?, ?it/s]
Traceback (most recent call last):
  File "phd_lab/extract_latent_representations.py", line 26, in <module>
    main()
  File "/space/conda/user/ulf/envs/phd-lab/lib/python3.8/site-packages/click/core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "/space/conda/user/ulf/envs/phd-lab/lib/python3.8/site-packages/click/core.py", line 782, in main
    rv = self.invoke(ctx)
  File "/space/conda/user/ulf/envs/phd-lab/lib/python3.8/site-packages/click/core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/space/conda/user/ulf/envs/phd-lab/lib/python3.8/site-packages/click/core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "phd_lab/extract_latent_representations.py", line 22, in main
    main(config_path=Path(config), run_id=run_id, device=device)
  File "/home/ulf/projects/github/phd-lab/phd_lab/experiments/main.py", line 81, in __call__
    executor(
  File "/home/ulf/projects/github/phd-lab/phd_lab/experiments/train_test_executor.py", line 130, in __call__
    trainer.train()
  File "/home/ulf/projects/github/phd-lab/phd_lab/experiments/trainer.py", line 229, in train
    train_metric = self.train_epoch()
  File "/home/ulf/projects/github/phd-lab/phd_lab/experiments/trainer.py", line 265, in train_epoch
    self._eval_metrics(labels, outputs)
  File "/home/ulf/projects/github/phd-lab/phd_lab/experiments/trainer.py", line 170, in _eval_metrics
    metric.update(y_true, y_pred)
  File "/home/ulf/projects/github/phd-lab/phd_lab/metrics/classification.py", line 35, in update
    self.accuracy_accumulator += self._accuracy(y_pred, y_true, (5,))[0]
  File "/home/ulf/projects/github/phd-lab/phd_lab/metrics/classification.py", line 25, in _accuracy
    correct_k = correct[:k].view(-1).float().sum(0)
RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.

Downgrading to CUDA Toolkit 10.2, cudnn 7.6.5, pytorch 1.5.1 solves that problem.

[MLRichter]

allright, pytorch 1.6.0 solves it as well.
I will try to upgrade the repository to 1.7.0 asap