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 bc07c44218..c4c9bdfcaf 100644 --- a/tensorflow/g3doc/get_started/os_setup.md +++ b/tensorflow/g3doc/get_started/os_setup.md @@ -81,7 +81,7 @@ If the above commands do not work on your system, you can follow these instructi $ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp27-none-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 2.7 -# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +# Requires CUDA toolkit 8.0 and CuDNN v5.1. For other versions, see "Installing from sources" below. $ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp27-none-linux_x86_64.whl # Mac OS X, CPU only, Python 2.7: @@ -94,14 +94,14 @@ $ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorf $ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp34-cp34m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.4 -# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +# Requires CUDA toolkit 8.0 and CuDNN v5.1. For other versions, see "Installing from sources" below. $ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp34-cp34m-linux_x86_64.whl # Ubuntu/Linux 64-bit, CPU only, Python 3.5 $ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.5 -# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +# Requires CUDA toolkit 8.0 and CuDNN v5.1. For other versions, see "Installing from sources" below. $ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp35-cp35m-linux_x86_64.whl # Mac OS X, CPU only, Python 3.4 or 3.5: @@ -215,7 +215,7 @@ Now, install TensorFlow just as you would for a regular Pip installation. First (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp27-none-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 2.7 -# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +# Requires CUDA toolkit 8.0 and CuDNN v5.1. For other versions, see "Installing from sources" below. (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp27-none-linux_x86_64.whl # Mac OS X, CPU only, Python 2.7: @@ -228,14 +228,14 @@ Now, install TensorFlow just as you would for a regular Pip installation. First (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp34-cp34m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.4 -# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +# Requires CUDA toolkit 8.0 and CuDNN v5.1. For other versions, see "Installing from sources" below. (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp34-cp34m-linux_x86_64.whl # Ubuntu/Linux 64-bit, CPU only, Python 3.5 (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.5 -# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +# Requires CUDA toolkit 8.0 and CuDNN v5.1. For other versions, see "Installing from sources" below. (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp35-cp35m-linux_x86_64.whl # Mac OS X, CPU only, Python 3.4 or 3.5: @@ -367,7 +367,7 @@ select the correct binary to install: (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp27-none-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 2.7 -# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +# Requires CUDA toolkit 8.0 and CuDNN v5.1. For other versions, see "Installing from sources" below. (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp27-none-linux_x86_64.whl # Mac OS X, CPU only, Python 2.7: @@ -380,14 +380,14 @@ select the correct binary to install: (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp34-cp34m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.4 -# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +# Requires CUDA toolkit 8.0 and CuDNN v5.1. For other versions, see "Installing from sources" below. (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp34-cp34m-linux_x86_64.whl # Ubuntu/Linux 64-bit, CPU only, Python 3.5 (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.5 -# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +# Requires CUDA toolkit 8.0 and CuDNN v5.1. For other versions, see "Installing from sources" below. (tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp35-cp35m-linux_x86_64.whl # Mac OS X, CPU only, Python 3.4 or 3.5: @@ -635,7 +635,7 @@ toolkit is installed in `/usr/local/cuda`, run the following commands (edited to reflect the cuDNN version you downloaded): ``` bash -tar xvzf cudnn-8.0-linux-x64-v5.1-ga.tgz +tar xvzf cudnn-8.0-linux-x64-v5.1.tgz sudo cp -P cuda/include/cudnn.h /usr/local/cuda/include/ sudo cp -P cuda/lib64/libcudnn* /usr/local/cuda/lib64/ sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn* |