The most likely reason you are encountering CUDNN_STATUS_EXECUTION_FAILED is that you have run out of memory.  Unfortunately, when you run out of memory on the GPU, you can get one of a few different error messages, so it is not always obvious that this is what happened.
If you are completely sure you are not running out of memory then you should open a new issue and give specifics about your problem.
Note that the OP was (assuming ngimel was correct) encountering a different problem from you relating to using a P100 with the wrong version of PyTorch.  Probably no one else who posted in this thread has had the OP’s problem, and it may well be that everyone else who posted in this thread has just run out of memory.