报错UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.

tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
[[node cnn_aggregation/Conv3D (defined at /DAM/utils/layers.py:257) = Conv3D[T=DT_FLOAT, data_format="NDHWC", dilations=[1, 1, 1, 1, 1], padding="SAME", strides=[1, 1, 1, 1, 1], _device="/job:localhost/replica:0/task:0/device:GPU:0"](stack_18, cnn_aggregation/filter_0/read)]]
[[{{node loss/Mean/_273}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_46002_loss/Mean", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

请问有人遇到过类似的问题嘛？在没有sudo权限的情况下怎样才能提高cudnn的版本呢

Start at /DAM/utils/layers.py:257 and inspect the Conv3D operation referenced in the traceback. Reproduce the failure while checking the warning messages printed before the cuDNN initialization error, then determine whether the issue can be resolved within the repository without sudo access. Done is a documented, reproducible resolution or a confirmed environment limitation.

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