How to verify CuDNN installation?

by

The installation of CuDNN is just copying some files. Hence to check if CuDNN is installed (and which version you have), you only need to check those files.

Install CuDNN

Step 1: Register an nvidia developer account and download cudnn here (about 80 MB). You might need nvcc --version to get your cuda version.

Step 2: Check where your cuda installation is. For most people, it will be /usr/local/cuda/. You can check it with which nvcc.

Step 3: Copy the files:

$ cd folder/extracted/contents
$ sudo cp include/cudnn.h /usr/local/cuda/include
$ sudo cp lib64/libcudnn* /usr/local/cuda/lib64
$ sudo chmod a+r /usr/local/cuda/lib64/libcudnn*

Check version

You might have to adjust the path. See step 2 of the installation.

$ cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2

edit: In later versions this might be the following (credits to Aris)

$ cat /usr/local/cuda/include/cudnn_version.h | grep CUDNN_MAJOR -A 2

Notes

When you get an error like

F tensorflow/stream_executor/cuda/cuda_dnn.cc:427] could not set cudnn filter descriptor: CUDNN_STATUS_BAD_PARAM

with TensorFlow, you might consider using CuDNN v4 instead of v5.

Ubuntu users who installed it via apt: https://askubuntu.com/a/767270/10425

More Related Contents:

  1. How can I make tensorflow run on a GPU with capability 2.x?
  2. Fine Tuning of GoogLeNet Model
  3. What is the canonical way to check for errors using the CUDA runtime API?
  4. A guide to convert_imageset.cpp
  5. CUDA compute capability requirements
  6. Cuda atomics change flag
  7. Is it still necessary to install CUDA before using the conda tensorflow-gpu package?
  8. GPU Emulator for CUDA programming without the hardware [closed]
  9. How is CUDA memory managed?
  10. How can I implement a custom atomic function involving several variables?
  11. Using GPU from a docker container?
  12. How to measure the inner kernel time in NVIDIA CUDA?
  13. How do CUDA blocks/warps/threads map onto CUDA cores?
  14. What is the purpose of using multiple “arch” flags in Nvidia’s NVCC compiler?
  15. How to get the CUDA version?
  16. nvidia-smi Volatile GPU-Utilization explanation?
  17. How do I use Nvidia Multi-process Service (MPS) to run multiple non-MPI CUDA applications?
  18. Copy an object to device?
  19. CUDA: How to use -arch and -code and SM vs COMPUTE
  20. In CUDA, what is memory coalescing, and how is it achieved?
  21. How can I check the progress of matrix multiplication?
  22. cudaMemset() – does it set bytes or integers?
  23. CUBLAS: Incorrect inversion for matrix with zero pivot
  24. Using maximum shared memory in Cuda
  25. Cuda Mutex, why deadlock?
  26. Inconsistency of IDs between ‘nvidia-smi -L’ and cuDeviceGetName()
  27. CUDA allocation alignment is 256 bytes – seriously?
  28. printf() in my CUDA kernel doesn’t result produce any output
  29. Multiply Rectangular Matrices in CUDA
  30. “invalid configuration argument ” error for the call of CUDA kernel?

Leave a Comment