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ranet's Issues

RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED

I try to solve the issue by setting cudnn.enabled=false, change the version of cuda, and I try to reduce the num of workers and batch_size. But the error still occurs. Have you encountered same problems?

`Traceback (most recent call `last):
  File "moment_localization/train.py", line 313, in <module>
    scheduler=scheduler)
  File "/home/gigigi/LJQ/RaNet/moment_localization/../lib/core/engine.py", line 53, in train
    state['optimizer'].step(closure)
  File "/home/gigigi/anaconda3/envs/torch1/lib/python3.7/site-packages/torch/optim/adam.py", line 58, in step
    loss = closure()
  File "/home/gigigi/LJQ/RaNet/moment_localization/../lib/core/engine.py", line 42, in closure
    loss, output = state['network'](state['sample'])
  File "moment_localization/train.py", line 169, in network
    prediction, map_mask = model(textual_input, textual_mask, visual_input)
  File "/home/gigigi/anaconda3/envs/torch1/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/gigigi/LJQ/RaNet/moment_localization/../lib/models/ranet.py", line 25, in forward
    vis_h, txt_h = self.encoder_layer(visual_input, textual_input, textual_mask) 
  File "/home/gigigi/anaconda3/envs/torch1/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/gigigi/LJQ/RaNet/moment_localization/../lib/models/feature_encoder/encoder.py", line 139, in forward
    vis_frame = self.frame_encoder(visual_input)  # B, C, T
  File "/home/gigigi/anaconda3/envs/torch1/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/gigigi/LJQ/RaNet/moment_localization/../lib/models/feature_encoder/encoder.py", line 44, in forward
    vis_h = torch.relu(self.vis_conv(visual_input))
  File "/home/gigigi/anaconda3/envs/torch1/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/gigigi/anaconda3/envs/torch1/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 196, in forward
    self.padding, self.dilation, self.groups)
RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED
  0%|   `

Some issues about RaNet: GPU, seed and yaml file.

Hello, your project is very innovative. But I did not achieve the effect you provided during the reproduction process.
Are you using the file onlydynamic+8conv+captions.yaml?
And what model of GPU are you using?
Perhaps random seeds can also affect the effect. Is it convenient to know which random seed you are using?
It would be great if you could answer my questions. Thank you very much！

Some issues about RaNet: GPU, seed and yaml file.

Hello, your project is very innovative. But I did not achieve the effect you provided during the reproduction process.
Are you using the file onlydynamic+8conv+captions.yaml?
And what model of GPU are you using?
Perhaps random seeds can also affect the effect. Is it convenient to know which random seed you are using?
It would be great if you could answer my questions. Thank you very much！

an error???

RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED. This error may appear if you passed in a non-contiguous input.
when I run the code, an error happened, how to fix it?

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