diff options
author | Felix Abecassis <fabecassis@nvidia.com> | 2016-05-16 14:35:40 -0700 |
---|---|---|
committer | Felix Abecassis <fabecassis@nvidia.com> | 2016-05-16 14:35:40 -0700 |
commit | 1c3af7078b64ef71a5bb0c2cef6fee528917adac (patch) | |
tree | c1b878830dfcc5493f9b8fce708e14f587e257ab /docs | |
parent | 8730b146b7e19af189b9086e59fd1d5bc4214698 (diff) | |
download | caffeonacl-1c3af7078b64ef71a5bb0c2cef6fee528917adac.tar.gz caffeonacl-1c3af7078b64ef71a5bb0c2cef6fee528917adac.tar.bz2 caffeonacl-1c3af7078b64ef71a5bb0c2cef6fee528917adac.zip |
Update supported cuDNN version in the documentation
Diffstat (limited to 'docs')
-rw-r--r-- | docs/installation.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/installation.md b/docs/installation.md index 1e29a49d..4aac7c42 100644 --- a/docs/installation.md +++ b/docs/installation.md @@ -40,14 +40,14 @@ Optional dependencies: * [OpenCV](http://opencv.org/) >= 2.4 including 3.0 * IO libraries: `lmdb`, `leveldb` (note: leveldb requires `snappy`) -* cuDNN for GPU acceleration (v4) +* cuDNN for GPU acceleration (v5) Pycaffe and Matcaffe interfaces have their own natural needs. * For Python Caffe: `Python 2.7` or `Python 3.3+`, `numpy (>= 1.7)`, boost-provided `boost.python` * For MATLAB Caffe: MATLAB with the `mex` compiler. -**cuDNN Caffe**: for fastest operation Caffe is accelerated by drop-in integration of [NVIDIA cuDNN](https://developer.nvidia.com/cudnn). To speed up your Caffe models, install cuDNN then uncomment the `USE_CUDNN := 1` flag in `Makefile.config` when installing Caffe. Acceleration is automatic. The current version is cuDNN v4; older versions are supported in older Caffe. +**cuDNN Caffe**: for fastest operation Caffe is accelerated by drop-in integration of [NVIDIA cuDNN](https://developer.nvidia.com/cudnn). To speed up your Caffe models, install cuDNN then uncomment the `USE_CUDNN := 1` flag in `Makefile.config` when installing Caffe. Acceleration is automatic. The current version is cuDNN v5; older versions are supported in older Caffe. **CPU-only Caffe**: for cold-brewed CPU-only Caffe uncomment the `CPU_ONLY := 1` flag in `Makefile.config` to configure and build Caffe without CUDA. This is helpful for cloud or cluster deployment. |