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Description
Hi,
we find qvhighlight_internvideo2_videoclip_6b_w2s.tar.gz. It contains original videos' feature,but we have no text query feature,eg qid0.npz.
Of course,we can donwload them from https://github.com/wjun0830/CGDETR/,but there token dimension is 512, flashvtg's token's dimension is 4096.
So, can you offer text features?
Thanks a lot.
error:
File "/home/notebook/code/personal/80398999/HD/FlashVTG/FlashVTG/model.py", line 792, in forward
x = self.LayerNorm(x)
File "/home/oppoer/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/oppoer/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
return forward_call(args, **kwargs)
File "/home/oppoer/.local/lib/python3.10/site-packages/torch/nn/modules/normalization.py", line 201, in forward
return F.layer_norm(
File "/home/oppoer/.local/lib/python3.10/site-packages/torch/nn/functional.py", line 2546, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: Given normalized_shape=[4096], expected input with shape [, 4096], but got input of size[1, 16, 512]