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-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. |