suggest replacing .view with .reshape in accuracy() function

[un-knight]

Got an error:

Traceback (most recent call last):
  File "main_imagenet.py", line 198, in <module>
    print('Quantized accuracy before brecq: {}'.format(validate_model(test_loader, qnn)))
  File "/home/xxxx/anaconda3/envs/torch/lib/python3.7/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "main_imagenet.py", line 108, in validate_model
    acc1, acc5 = accuracy(output, target, topk=(1, 5))
  File "main_imagenet.py", line 77, in accuracy
    correct_k = correct[:k].view(-1).float().sum(0, keepdim=True)
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.

So suggest replacing .view with .reshape in accuracy() function.

[yhhhli]

Thanks for the report, it seems that you are using torch1.8. Lower version won't get that error.