diff options
Diffstat (limited to 'tensorflow/g3doc/get_started/os_setup.md')
| -rw-r--r-- | tensorflow/g3doc/get_started/os_setup.md | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/tensorflow/g3doc/get_started/os_setup.md b/tensorflow/g3doc/get_started/os_setup.md index f7776ca4de..cf970cacc4 100644 --- a/tensorflow/g3doc/get_started/os_setup.md +++ b/tensorflow/g3doc/get_started/os_setup.md @@ -252,7 +252,7 @@ This creates a canonical set of symbolic links to the Cuda libraries on your sys Every time you change the Cuda library paths you need to run this step again before you invoke the bazel build command. -##### Build your target with GPU support. +##### Build your target with GPU support From the root of your source tree, run: ```bash @@ -268,7 +268,7 @@ $ bazel-bin/tensorflow/cc/tutorials_example_trainer --use_gpu Note that "--config=cuda" is needed to enable the GPU support. -##### Enabling Cuda 3.0. +##### Enabling Cuda 3.0 TensorFlow officially supports Cuda devices with 3.5 and 5.2 compute capabilities. In order to enable earlier Cuda devices such as Grid K520, you need to target Cuda 3.0. This can be done through TensorFlow unofficial @@ -283,10 +283,10 @@ WARNING: You are configuring unofficial settings in TensorFlow. Because some external libraries are not backward compatible, these settings are largely untested and unsupported. -Please specify a list of comma-separated Cuda compute capabilities you want to -build with. You can find the compute capability of your device at: -https://developer.nvidia.com/cuda-gpus. -Please note that each additional compute capability significantly increases +Please specify a list of comma-separated Cuda compute capabilities you want to +build with. You can find the compute capability of your device at: +https://developer.nvidia.com/cuda-gpus. +Please note that each additional compute capability significantly increases your build time and binary size. [Default is: "3.5,5.2"]: 3.0 Setting up Cuda include |