stabilityai

/

japanese-stable-clip-vit-l-16

like 26

Follow

Stability AI 9.35k

Without this fix, we encounter the following errors on GPU environments:

❯ python3 example.py 
Downloading (…)rocessor_config.json: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████| 477/477 [00:00<00:00, 73.9kB/s]
Traceback (most recent call last):
  File "example.py", line 67, in <module>
    image_features = model.get_image_features(**image)
  File ".../.cache/huggingface/modules/transformers_modules/stabilityai/japanese-stable-clip-vit-l-16/815a716c60dd0cf36a5256e6546f35e33077545b/modeling_japanese_stable_clip.py", line 154, in get_image_features
    vision_outputs = self.vision_model(
  File "/.../.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/.../.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/.../.local/lib/python3.8/site-packages/transformers/models/vit/modeling_vit.py", line 573, in forward
    embedding_output = self.embeddings(
  File "/.../.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/.../.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/.../.local/lib/python3.8/site-packages/transformers/models/vit/modeling_vit.py", line 122, in forward
    embeddings = self.patch_embeddings(pixel_values, interpolate_pos_encoding=interpolate_pos_encoding)
  File "/.../.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/.../.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/.../.local/lib/python3.8/site-packages/transformers/models/vit/modeling_vit.py", line 181, in forward
    embeddings = self.projection(pixel_values).flatten(2).transpose(1, 2)
  File "/.../.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/.../.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/.../.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 460, in forward
    return self._conv_forward(input, self.weight, self.bias)
  File "/.../.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 456, in _conv_forward
    return F.conv2d(input, weight, bias, self.stride,
RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same

Super helpful! Thank you!