diff options
| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2016-11-08 12:39:21 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2016-11-08 16:28:59 -0800 |
| commit | e76210f995e09f4fd812ad3335840d097033bbe7 (patch) | |
| tree | bad669a027186f274d1a613261a8a9b9d502e330 | |
| parent | c34e3c87ac0ec709fa19605a9d711462d6a9e9d6 (diff) | |
Minor docs improvement.
Change: 138550740
| -rw-r--r-- | tensorflow/g3doc/get_started/os_setup.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/g3doc/get_started/os_setup.md b/tensorflow/g3doc/get_started/os_setup.md index 1535f094c5..5ef608c7b8 100644 --- a/tensorflow/g3doc/get_started/os_setup.md +++ b/tensorflow/g3doc/get_started/os_setup.md @@ -579,7 +579,7 @@ In order to build or run TensorFlow with GPU support, both NVIDIA's Cuda Toolkit (>= 7.0) and cuDNN (>= v3) need to be installed. TensorFlow GPU support requires having a GPU card with NVidia Compute Capability -(>= 3.0). Supported cards include but are not limited to: +(\>= 3.0). Supported cards include but are not limited to: * NVidia Titan * NVidia Titan X @@ -588,19 +588,19 @@ TensorFlow GPU support requires having a GPU card with NVidia Compute Capability ##### Check NVIDIA Compute Capability of your GPU card -https://developer.nvidia.com/cuda-gpus +[https://developer.nvidia.com/cuda-gpus](https://developer.nvidia.com/cuda-gpus) ##### Download and install Cuda Toolkit -https://developer.nvidia.com/cuda-downloads +[https://developer.nvidia.com/cuda-downloads](https://developer.nvidia.com/cuda-downloads) Install version 8.0 if using our binary releases. -Install the toolkit into e.g. `/usr/local/cuda` +Install the toolkit into e.g. `/usr/local/cuda`. ##### Download and install cuDNN -https://developer.nvidia.com/cudnn +[https://developer.nvidia.com/cudnn](https://developer.nvidia.com/cudnn) Download cuDNN v5. |