pythondeep-learningpytorchcudnn

RuntimeError: cuDNN version mismatch: PyTorch was compiled against 7102 but linked against 7604


I got this error when running training a deep learning model and although looking at many solutions over the Internet, they did not help me. The log is as follows:

Traceback (most recent call last):
  File "main.py", line 208, in <module>
    main()
  File "main.py", line 100, in main
    model = nn.DataParallel(model).cuda()
  File "/home/dexter/miniconda3/envs/VideoSum/lib/python3.5/site-packages/torch/nn/parallel/data_parallel.py", line 105, in __init__
    self.module.cuda(device_ids[0])
  File "/home/dexter/miniconda3/envs/VideoSum/lib/python3.5/site-packages/torch/nn/modules/module.py", line 249, in cuda
    return self._apply(lambda t: t.cuda(device))
  File "/home/dexter/miniconda3/envs/VideoSum/lib/python3.5/site-packages/torch/nn/modules/module.py", line 176, in _apply
    module._apply(fn)
  File "/home/dexter/miniconda3/envs/VideoSum/lib/python3.5/site-packages/torch/nn/modules/rnn.py", line 112, in _apply
    self.flatten_parameters()
  File "/home/dexter/miniconda3/envs/VideoSum/lib/python3.5/site-packages/torch/nn/modules/rnn.py", line 78, in flatten_parameters
    if not any_param.is_cuda or not torch.backends.cudnn.is_acceptable(any_param):
  File "/home/dexter/miniconda3/envs/VideoSum/lib/python3.5/site-packages/torch/backends/cudnn/__init__.py", line 87, in is_acceptable
    if _libcudnn() is None:
  File "/home/dexter/miniconda3/envs/VideoSum/lib/python3.5/site-packages/torch/backends/cudnn/__init__.py", line 58, in _libcudnn
    'but linked against {}'.format(compile_version, __cudnn_version))
RuntimeError: cuDNN version mismatch: PyTorch was compiled against 7102 but linked against 7604


Solution

  • The question is, no matter the versions showed in the log are, 7.6.4 is my cudnn version and 7.1.2 is the cudnn version that the code is originally compiled. What I need is just downgrade (or upgrade my current cudnn version) by:

    conda install cudnn=7.1.2
    

    It works, if any, please correct me.