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authorFelix Abecassis <fabecassis@nvidia.com>2016-05-16 14:35:40 -0700
committerFelix Abecassis <fabecassis@nvidia.com>2016-05-16 14:35:40 -0700
commit1c3af7078b64ef71a5bb0c2cef6fee528917adac (patch)
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Update supported cuDNN version in the documentation
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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.