Cudnn 7 For Mac Install

Installing CuDNN just involves placing the files in the CUDA directory. If you have specified the routes and the CuDNN option correctly while installing caffe it will be compiled with CuDNN. You can check that using cmake. Create a directory caffe/build and run cmake.

Install CUDA Toolkit. Download the package of CUDA Toolkit 7.5 from the official link. Install cuDNN. Next, we have to register on NVIDIA to be able to download cuDNN, which is a GPU-accelerated library of primitives for deep neural networks. Pip install -U tf-nightly-gpu now gives a win10 build dated 20171221, which is based on TF 1.5 beta with CUDA 9.0 and CuDNN 7.0.5. I ran it last night, it is ok. Now we should move onto CUDA 9.1 for the 12x CUDA kernel launch speed.

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If the configuration is correct you will see these lines: -- Found cuDNN (include: /usr/local/cuda-7.0/include, library: /usr/local/cuda-7.0/lib64/libcudnn.so) -- NVIDIA CUDA: -- Target GPU(s): Auto -- GPU arch(s): sm_30 -- cuDNN: Yes If everything is correct just run the make orders to install caffe from there. 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 (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 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. Debian and Ubuntu From CuDNN v5 onwards (at least when you install via sudo dpkg -i.deb packages), it looks like you might need to use the following: cat /usr/include/x86_64-linux-gnu/cudnn_v*.h grep CUDNN_MAJOR -A 2 For example: $ cat /usr/include/x86_64-linux-gnu/cudnn_v*.h grep CUDNN_MAJOR -A 2 #define CUDNN_MAJOR 6 #define CUDNN_MINOR 0 #define CUDNN_PATCHLEVEL 21 -- #define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL) #include 'driver_types.h' indicates that CuDNN version 6.0.21 is installed. Redhat distributions On CentOS, I found the location of CUDA with: $ whereis cuda cuda: /usr/local/cuda I then used the procedure about on the cudnn.h file that I found from this location: $ cat /usr/local/cuda/include/cudnn.h grep CUDNN_MAJOR -A 2.

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