I installed PyTorch along with CUDA toolkit and (presumably) CuDNN. The install appears to work well: torch.backends.cudnn.version() returns something reasonable, and CUDA tensors are well-behaved.
Now I’m trying to install some other DL packages, and I’d like to set my LD_LIBRARY_PATH so that those packages can use the same CuDNN as PyTorch. I’m trying to avoid installing conflicting copies of CuDNN and breaking things. However, I’ve found that PyTorch’s CUDA install (at /usr/local/cuda-10.0) doesn’t actually include CuDNN in its lib64 directory – or anywhere else, it appears. Calling find /usr/local/cuda-10.0 -name "*cudnn*" returns nothing at all.
So I’m wondering, where does PyTorch install CuDNN?