Traceback (most recent call last):


 "tools/run.py", line 94, in <module>

run()


 "tools/run.py", line 83, in run

trainer.train()


 "/home/dc2-user/content/pythia/pythia/trainers/base_trainer.py", line 239, in train

report = self._forward_pass(batch)


 "/home/dc2-user/content/pythia/pythia/trainers/base_trainer.py", line 259, in _forward_pass

model_output = self.model(prepared_batch)


 "/home/dc2-user/content/pythia/pythia/models/base_model.py", line 120, in __call__

model_output = super().__call__(sample_list, *args, **kwargs)


 "/usr/local/python3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "/home/dc2-user/content/pythia/pythia/models/butd.py", line 140, in forward

"image", sample_list, embedding[:, 0, :], batch_size_t=batch_size_t


 "/home/dc2-user/content/pythia/pythia/models/pythia.py", line 262, in process_feature_embedding

embedding, attention = feature_embedding_model(*inp)


 "/usr/local/python3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "/home/dc2-user/content/pythia/pythia/modules/embeddings.py", line 206, in forward

image_feat_variable, question_embedding, image_dims


 "/usr/local/python3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "/home/dc2-user/content/pythia/pythia/modules/attention.py", line 34, in forward

return self.module(*args, **kwargs)


 "/usr/local/python3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "/home/dc2-user/content/pythia/pythia/modules/attention.py", line 138, in forward

joint_feature = self.combination_layer(image_feat, question_embedding)


 "/usr/local/python3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "/home/dc2-user/content/pythia/pythia/modules/layers.py", line 182, in forward

return self.module(*args, **kwargs)


 "/usr/local/python3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "/home/dc2-user/content/pythia/pythia/modules/layers.py", line 349, in forward

torch.cat([h2, image_feat_mean, embedding], dim=1), (h1, c1)
RuntimeError: invalid argument 0: Tensors must have same number of dimensions: got 2 and 3 at /pytorch/aten/src/THC/generic/THCTensorMath.cu:62
Traceback (most recent call last):

 "/usr/local/lib/python2.7/site-packages/subliminal/cli.py", line 352, in download
video = scan_video(p)

 "/usr/local/lib/python2.7/site-packages/subliminal/core.py", line 374, in scan_video
raise ValueError('%r is not a valid video extension' % os.path.splitext(path)[1])ValueError: '.ogv' is not a valid video extension