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sergeytulyakov / mocogan

MoCoGAN: Decomposing Motion and Content for Video Generation
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Video generation error #27

Closed velascoluis closed 4 years ago

velascoluis commented 4 years ago

Hi, after getting this error when executing the generate_videos.py script:

root@508aee39a995:/mocogan/src# python generate_videos.py ../logs/dances/generator_100000.pytorch ../output 
Traceback (most recent call last):
  File "generate_videos.py", line 61, in <module>
    v, _ = generator.sample_videos(1, int(args['--number_of_frames']))
  File "/mocogan/src/models.py", line 268, in sample_videos
    z, z_category_labels = self.sample_z_video(num_samples, video_len)
  File "/mocogan/src/models.py", line 259, in sample_z_video
    z_motion = self.sample_z_m(num_samples, video_len)
  File "/mocogan/src/models.py", line 224, in sample_z_m
    h_t.append(self.recurrent(e_t, h_t[-1]))
  File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 224, in __call__
    result = self.forward(*input, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/rnn.py", line 682, in forward
    self.bias_ih, self.bias_hh,
  File "/usr/local/lib/python2.7/dist-packages/torch/nn/_functions/rnn.py", line 49, in GRUCell
    gi = F.linear(input, w_ih)
  File "/usr/local/lib/python2.7/dist-packages/torch/nn/functional.py", line 555, in linear
    output = input.matmul(weight.t())
  File "/usr/local/lib/python2.7/dist-packages/torch/autograd/variable.py", line 560, in matmul
    return torch.matmul(self, other)
  File "/usr/local/lib/python2.7/dist-packages/torch/functional.py", line 173, in matmul
    return torch.mm(tensor1, tensor2)
  File "/usr/local/lib/python2.7/dist-packages/torch/autograd/variable.py", line 579, in mm
    return Addmm.apply(output, self, matrix, 0, 1, True)
  File "/usr/local/lib/python2.7/dist-packages/torch/autograd/_functions/blas.py", line 26, in forward
    matrix1, matrix2, out=output)
TypeError: torch.addmm received an invalid combination of arguments - got (int, torch.cuda.FloatTensor, int, torch.cuda.FloatTensor, torch.FloatTensor, out=torch.cuda.FloatTensor), but expected one of:
 * (torch.cuda.FloatTensor source, torch.cuda.FloatTensor mat1, torch.cuda.FloatTensor mat2, *, torch.cuda.FloatTensor out)
 * (torch.cuda.FloatTensor source, torch.cuda.sparse.FloatTensor mat1, torch.cuda.FloatTensor mat2, *, torch.cuda.FloatTensor out)
 * (float beta, torch.cuda.FloatTensor source, torch.cuda.FloatTensor mat1, torch.cuda.FloatTensor mat2, *, torch.cuda.FloatTensor out)
 * (torch.cuda.FloatTensor source, float alpha, torch.cuda.FloatTensor mat1, torch.cuda.FloatTensor mat2, *, torch.cuda.FloatTensor out)
 * (float beta, torch.cuda.FloatTensor source, torch.cuda.sparse.FloatTensor mat1, torch.cuda.FloatTensor mat2, *, torch.cuda.FloatTensor out)
 * (torch.cuda.FloatTensor source, float alpha, torch.cuda.sparse.FloatTensor mat1, torch.cuda.FloatTensor mat2, *, torch.cuda.FloatTensor out)
 * (float beta, torch.cuda.FloatTensor source, float alpha, torch.cuda.FloatTensor mat1, torch.cuda.FloatTensor mat2, *, torch.cuda.FloatTensor out)
      didn't match because some of the arguments have invalid types: (int, torch.cuda.FloatTensor, int, torch.cuda.FloatTensor, torch.FloatTensor, out=torch.cuda.FloatTensor)
 * (float beta, torch.cuda.FloatTensor source, float alpha, torch.cuda.sparse.FloatTensor mat1, torch.cuda.FloatTensor mat2, *, torch.cuda.FloatTensor out)
      didn't match because some of the arguments have invalid types: (int, torch.cuda.FloatTensor, int, torch.cuda.FloatTensor, torch.FloatTensor, out=torch.cuda.FloatTensor)

Any ideas?

velascoluis commented 4 years ago

Duplicate of https://github.com/sergeytulyakov/mocogan/issues/3

Sorry, missed that! Great repo btw! Luis