diff options
Diffstat (limited to 'tensorflow/g3doc/get_started/os_setup.md')
| -rw-r--r-- | tensorflow/g3doc/get_started/os_setup.md | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/tensorflow/g3doc/get_started/os_setup.md b/tensorflow/g3doc/get_started/os_setup.md index 1eceeaeee5..74cdc4b518 100644 --- a/tensorflow/g3doc/get_started/os_setup.md +++ b/tensorflow/g3doc/get_started/os_setup.md @@ -62,7 +62,7 @@ Install TensorFlow: # Ubuntu/Linux 64-bit, CPU only, Python 2.7: $ sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl -# Ubuntu/Linux 64-bit, GPU enabled, Python 2.7. Requires CUDA toolkit 7.5 and CuDNN v4. +# Ubuntu/Linux 64-bit, GPU enabled, Python 2.7. Requires CUDA toolkit 7.5 and cuDNN v4. # For other versions, see "Install from sources" below. $ sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl @@ -77,7 +77,7 @@ For python3: # Ubuntu/Linux 64-bit, CPU only, Python 3.4: $ sudo pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp34-cp34m-linux_x86_64.whl -# Ubuntu/Linux 64-bit, GPU enabled, Python 3.4. Requires CUDA toolkit 7.5 and CuDNN v4. +# Ubuntu/Linux 64-bit, GPU enabled, Python 3.4. Requires CUDA toolkit 7.5 and cuDNN v4. # For other versions, see "Install from sources" below. $ sudo pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0-cp34-cp34m-linux_x86_64.whl @@ -137,7 +137,7 @@ $ source ~/tensorflow/bin/activate.csh # If using csh # Ubuntu/Linux 64-bit, CPU only, Python 2.7: (tensorflow)$ pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl -# Ubuntu/Linux 64-bit, GPU enabled, Python 2.7. Requires CUDA toolkit 7.5 and CuDNN v4. +# Ubuntu/Linux 64-bit, GPU enabled, Python 2.7. Requires CUDA toolkit 7.5 and cuDNN v4. # For other versions, see "Install from sources" below. (tensorflow)$ pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl @@ -155,7 +155,7 @@ $ source ~/tensorflow/bin/activate.csh # If using csh # Ubuntu/Linux 64-bit, CPU only, Python 3.4: (tensorflow)$ pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp34-cp34m-linux_x86_64.whl -# Ubuntu/Linux 64-bit, GPU enabled, Python 3.4. Requires CUDA toolkit 7.5 and CuDNN v4. +# Ubuntu/Linux 64-bit, GPU enabled, Python 3.4. Requires CUDA toolkit 7.5 and cuDNN v4. # For other versions, see "Install from sources" below. (tensorflow)$ pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0-cp34-cp34m-linux_x86_64.whl @@ -228,7 +228,7 @@ $ source activate tensorflow # Ubuntu/Linux 64-bit, CPU only, Python 2.7: (tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl -# Ubuntu/Linux 64-bit, GPU enabled, Python 2.7. Requires CUDA toolkit 7.5 and CuDNN v4. +# Ubuntu/Linux 64-bit, GPU enabled, Python 2.7. Requires CUDA toolkit 7.5 and cuDNN v4. # For other versions, see "Install from sources" below. (tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl @@ -245,7 +245,7 @@ $ source activate tensorflow # Ubuntu/Linux 64-bit, CPU only, Python 3.4: (tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp34-cp34m-linux_x86_64.whl -# Ubuntu/Linux 64-bit, GPU enabled, Python 3.4. Requires CUDA toolkit 7.5 and CuDNN v4. +# Ubuntu/Linux 64-bit, GPU enabled, Python 3.4. Requires CUDA toolkit 7.5 and cuDNN v4. # For other versions, see "Install from sources" below. (tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0-cp34-cp34m-linux_x86_64.whl @@ -314,7 +314,7 @@ $ docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow The option `-p 8888:8888` is used to publish the Docker container᾿s internal port to the host machine, in this case to ensure Jupyter notebook connection. -The format of the port mapping `hostPort:containerPort`. You can speficy any valid port number for the host port but has to be `8888` for the container port portion. +The format of the port mapping is `hostPort:containerPort`. You can specify any valid port number for the host port but have to use `8888` for the container port portion. If you're using a container with GPU support, some additional flags must be passed to expose the GPU device to the container. For the default config, we @@ -526,7 +526,7 @@ empty to use system default]: 7.5 Please specify the location where CUDA 7.5 toolkit is installed. Refer to README.md for more details. [default is: /usr/local/cuda]: /usr/local/cuda -Please specify the Cudnn version you want to use. [Leave empty to use system +Please specify the cuDNN version you want to use. [Leave empty to use system default]: 4.0.4 Please specify the location where the cuDNN 4.0.4 library is installed. Refer to @@ -549,7 +549,7 @@ Configuration finished This creates a canonical set of symbolic links to the Cuda libraries on your system. Every time you change the Cuda library paths you need to run this step again before -you invoke the bazel build command. For the Cudnn libraries, use '6.5' for R2, '7.0' +you invoke the bazel build command. For the cuDNN libraries, use '6.5' for R2, '7.0' for R3, and '4.0.4' for R4-RC. @@ -672,7 +672,7 @@ GPU support will be enabled for TensorFlow Please specify which gcc nvcc should use as the host compiler. [Default is /usr/bin/gcc]: Please specify the Cuda SDK version you want to use, e.g. 7.0. [Leave empty to use system default]: 7.5 Please specify the location where CUDA 7.5 toolkit is installed. Refer to README.md for more details. [Default is /usr/local/cuda]: -Please specify the Cudnn version you want to use. [Leave empty to use system default]: 5 +Please specify the cuDNN version you want to use. [Leave empty to use system default]: 5 Please specify the location where cuDNN 5 library is installed. Refer to README.md for more details. [Default is /usr/local/cuda]: 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. |