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How we can set window image size on 112x112 image

See original GitHub issue

Thank you for your great work. My Image size is 112x112 and the head is 12 and my window size is 7. It does not work for me.

Traceback

  File "/raid/khawar/PycharmProjects/thesis/vit_pytorch/SwinT/swin.py", line 111, in forward
    q, k, v = map(
  File "/raid/khawar/PycharmProjects/thesis/vit_pytorch/SwinT/swin.py", line 112, in <lambda>
    lambda t: rearrange(t, 'b (nw_h w_h) (nw_w w_w) (h d) -> b h (nw_h nw_w) (w_h w_w) d',
  File "/raid/khawar/anaconda3/envs/vision-transformer-pytorch/lib/python3.8/site-packages/einops/einops.py", line 424, in rearrange
    return reduce(tensor, pattern, reduction='rearrange', **axes_lengths)
  File "/raid/khawar/anaconda3/envs/vision-transformer-pytorch/lib/python3.8/site-packages/einops/einops.py", line 376, in reduce
    raise EinopsError(message + '\n {}'.format(e))
einops.EinopsError:  Error while processing rearrange-reduction pattern "b (nw_h w_h) (nw_w w_w) (h d) -> b h (nw_h nw_w) (w_h w_w) d".
 Input tensor shape: torch.Size([1, 3, 3, 384]). Additional info: {'h': 24, 'w_h': 7, 'w_w': 7}.
 Shape mismatch, can't divide axis of length 3 in chunks of 7

Regards, Khawar

Issue Analytics

State:
Created 2 years ago
Comments:12 (3 by maintainers)

Top GitHub Comments

2reactions

ancientmoonercommented, Aug 12, 2021

Thank you for your great work. My Image size is 112x112 and the head is 12 and my window size is 7. It does not work for me.

Traceback

  File "/raid/khawar/PycharmProjects/thesis/vit_pytorch/SwinT/swin.py", line 111, in forward
    q, k, v = map(
  File "/raid/khawar/PycharmProjects/thesis/vit_pytorch/SwinT/swin.py", line 112, in <lambda>
    lambda t: rearrange(t, 'b (nw_h w_h) (nw_w w_w) (h d) -> b h (nw_h nw_w) (w_h w_w) d',
  File "/raid/khawar/anaconda3/envs/vision-transformer-pytorch/lib/python3.8/site-packages/einops/einops.py", line 424, in rearrange
    return reduce(tensor, pattern, reduction='rearrange', **axes_lengths)
  File "/raid/khawar/anaconda3/envs/vision-transformer-pytorch/lib/python3.8/site-packages/einops/einops.py", line 376, in reduce
    raise EinopsError(message + '\n {}'.format(e))
einops.EinopsError:  Error while processing rearrange-reduction pattern "b (nw_h w_h) (nw_w w_w) (h d) -> b h (nw_h nw_w) (w_h w_w) d".
 Input tensor shape: torch.Size([1, 3, 3, 384]). Additional info: {'h': 24, 'w_h': 7, 'w_w': 7}.
 Shape mismatch, can't divide axis of length 3 in chunks of 7

Regards, Khawar

You may change the window size of the last stage as 3x3 or 4x4 (the feature map size). Another solution is to use padding.

0reactions

ancientmoonercommented, Dec 20, 2021

@scott870430 You can try bicubic interpolation to leverage the pretrained model weights with different window size

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