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.

[yuenshangli]

Hi, my name is Yuen.

Thank you for sharing this wonderful work.

So far I followed steps and trained the vgg16 model.

However, when I tried "eval" command, it showed the following errors:

python eval.py --config_path=configs/vgg16_tap.yml --tag=vgg16_tap --checkpoint_dir=data
[2022-03-27 15:36:24,223 - data\eval_vgg16_tap] GPU is not available.
[2022-03-27 15:36:24,268 - data\eval_vgg16_tap] VGG network structure: [64, 64, 'M', 128, 128, 'M', 256, 256, 256, 'M', 512, 512, 512, 'M', 512, 512, 512, 1024]
[2022-03-27 15:36:24,452 - data\eval_vgg16_tap] Checkpointer is built.
[2022-03-27 15:36:24,453 - data\eval_vgg16_tap] Loading checkpoint from data\checkpoint_191_1150014.pth
Traceback (most recent call last):
  File "eval.py", line 31, in <module>
    engine.evaluate()
  File "D:\xxxx\rethinkingCAM\src\engine.py", line 175, in evaluate
    epoch, num_step, **self.eval_config)
  File "D:\xxxx\rethinkingCAM\src\engine.py", line 208, in _eval_one_epoch
    top1_cls, top5_cls = metrics.topk_accuracy(predictions, labels, topk=(1,5))
  File "D:\xxxx\rethinkingCAM\src\utils\metrics.py", line 22, in topk_accuracy
    correct_k = correct[:k].view(-1).float().sum(0, keepdim=False)
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.

Can I know how to resolve it ?

I am using the pytorch 1.11

Thank you

Best regads, Yuen