diff options
Diffstat (limited to 'tensorflow/g3doc/get_started/os_setup.md')
| -rw-r--r-- | tensorflow/g3doc/get_started/os_setup.md | 157 |
1 files changed, 100 insertions, 57 deletions
diff --git a/tensorflow/g3doc/get_started/os_setup.md b/tensorflow/g3doc/get_started/os_setup.md index f526c17600..7c968a5468 100644 --- a/tensorflow/g3doc/get_started/os_setup.md +++ b/tensorflow/g3doc/get_started/os_setup.md @@ -78,37 +78,51 @@ If the above commands do not work on your system, you can follow these instructi ```bash # Ubuntu/Linux 64-bit, CPU only, Python 2.7 -$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp27-none-linux_x86_64.whl +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp27-none-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 2.7 -# 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 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp27-none-linux_x86_64.whl # Mac OS X, CPU only, Python 2.7: -$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.1-py2-none-any.whl +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.0rc1-py2-none-any.whl # Mac OS X, GPU enabled, Python 2.7: -$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-0.12.1-py2-none-any.whl +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-1.0.0rc1-py2-none-any.whl + +# Ubuntu/Linux 64-bit, CPU only, Python 3.3 +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp33-cp33m-linux_x86_64.whl + +# Ubuntu/Linux 64-bit, GPU enabled, Python 3.3 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp33-cp33m-linux_x86_64.whl # Ubuntu/Linux 64-bit, CPU only, Python 3.4 -$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp34-cp34m-linux_x86_64.whl +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp34-cp34m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.4 -# 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 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-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 +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp35-cp35m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.5 -# 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 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp35-cp35m-linux_x86_64.whl + +# Ubuntu/Linux 64-bit, CPU only, Python 3.6 +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp36-cp36m-linux_x86_64.whl + +# Ubuntu/Linux 64-bit, GPU enabled, Python 3.6 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp36-cp36m-linux_x86_64.whl # Mac OS X, CPU only, Python 3.4 or 3.5: -$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.1-py3-none-any.whl +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.0rc1-py3-none-any.whl # Mac OS X, GPU enabled, Python 3.4 or 3.5: -$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-0.12.1-py3-none-any.whl +$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-1.0.0rc1-py3-none-any.whl ``` Install TensorFlow: @@ -150,14 +164,14 @@ Both distributions include pip. To install the CPU-only version of TensorFlow, enter the following command at a command prompt: ```bat -C:\> pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-0.12.1-cp35-cp35m-win_amd64.whl +C:\> pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0rc1-cp35-cp35m-win_amd64.whl ``` To install the GPU version of TensorFlow, enter the following command at a command prompt: ```bat -C:\> pip install --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-0.12.1-cp35-cp35m-win_amd64.whl +C:\> pip install --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.0.0rc1-cp35-cp35m-win_amd64.whl ``` You can now [test your installation](#test-the-tensorflow-installation). @@ -212,37 +226,51 @@ Now, install TensorFlow just as you would for a regular Pip installation. First ```bash # Ubuntu/Linux 64-bit, CPU only, Python 2.7 -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp27-none-linux_x86_64.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp27-none-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 2.7 -# 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 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp27-none-linux_x86_64.whl # Mac OS X, CPU only, Python 2.7: -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.1-py2-none-any.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.0rc1-py2-none-any.whl # Mac OS X, GPU enabled, Python 2.7: -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-0.12.1-py2-none-any.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-1.0.0rc1-py2-none-any.whl + +# Ubuntu/Linux 64-bit, CPU only, Python 3.3 +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp33-cp33m-linux_x86_64.whl + +# Ubuntu/Linux 64-bit, GPU enabled, Python 3.3 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp33-cp33m-linux_x86_64.whl # Ubuntu/Linux 64-bit, CPU only, Python 3.4 -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp34-cp34m-linux_x86_64.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp34-cp34m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.4 -# 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 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-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 +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp35-cp35m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.5 -# 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 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp35-cp35m-linux_x86_64.whl + +# Ubuntu/Linux 64-bit, CPU only, Python 3.6 +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp36-cp36m-linux_x86_64.whl + +# Ubuntu/Linux 64-bit, GPU enabled, Python 3.6 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp36-cp36m-linux_x86_64.whl # Mac OS X, CPU only, Python 3.4 or 3.5: -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.1-py3-none-any.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.0rc1-py3-none-any.whl # Mac OS X, GPU enabled, Python 3.4 or 3.5: -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-0.12.1-py3-none-any.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-1.0.0rc1-py3-none-any.whl ``` Finally install TensorFlow: @@ -364,37 +392,51 @@ select the correct binary to install: ```bash # Ubuntu/Linux 64-bit, CPU only, Python 2.7 -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp27-none-linux_x86_64.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp27-none-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 2.7 -# 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 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp27-none-linux_x86_64.whl # Mac OS X, CPU only, Python 2.7: -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.1-py2-none-any.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.0rc1-py2-none-any.whl # Mac OS X, GPU enabled, Python 2.7: -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-0.12.1-py2-none-any.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-1.0.0rc1-py2-none-any.whl + +# Ubuntu/Linux 64-bit, CPU only, Python 3.3 +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp33-cp33m-linux_x86_64.whl + +# Ubuntu/Linux 64-bit, GPU enabled, Python 3.3 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp33-cp33m-linux_x86_64.whl # Ubuntu/Linux 64-bit, CPU only, Python 3.4 -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp34-cp34m-linux_x86_64.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp34-cp34m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.4 -# 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 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-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 +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp35-cp35m-linux_x86_64.whl # Ubuntu/Linux 64-bit, GPU enabled, Python 3.5 -# 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 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp35-cp35m-linux_x86_64.whl + +# Ubuntu/Linux 64-bit, CPU only, Python 3.6 +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp36-cp36m-linux_x86_64.whl + +# Ubuntu/Linux 64-bit, GPU enabled, Python 3.6 +# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below. +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc1-cp36-cp36m-linux_x86_64.whl # Mac OS X, CPU only, Python 3.4 or 3.5: -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.1-py3-none-any.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.0rc1-py3-none-any.whl # Mac OS X, GPU enabled, Python 3.4 or 3.5: -(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-0.12.1-py3-none-any.whl +(tensorflow)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-1.0.0rc1-py3-none-any.whl ``` Finally install TensorFlow: @@ -462,7 +504,7 @@ code. code. We also have tags with `latest` replaced by a released version (e.g., -`0.12.1-gpu`). +`1.0.0-rc1-gpu`). With Docker the installation is as follows: @@ -557,7 +599,7 @@ To build TensorFlow from source on Windows, you can use experimental support for [Bazel on Windows](https://bazel.build/versions/master/docs/windows.html) or the [TensorFlow CMake -build](https://github.com/tensorflow/tensorflow/tree/r0.12/tensorflow/contrib/cmake). +build](https://github.com/tensorflow/tensorflow/tree/r1.0/tensorflow/contrib/cmake). ### Clone the TensorFlow repository @@ -856,37 +898,38 @@ default and if you want to limit RAM usage you can add `--local_resources 2048,.5,1.0` while invoking bazel. ```bash -$ bazel build -c opt //tensorflow/tools/pip_package:build_pip_package +$ bazel build --config opt //tensorflow/tools/pip_package:build_pip_package # To build with support for CUDA: -$ bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_package +$ bazel build --config opt --config=cuda //tensorflow/tools/pip_package:build_pip_package -# Alternatively, to build with support for OpenCL: -$ bazel build -c opt --config=sycl //tensorflow/tools/pip_package:build_pip_package +# Alternatively, to build with support for OpenCL (Experimental): +$ bazel build --config opt --config=sycl //tensorflow/tools/pip_package:build_pip_package $ bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg # The name of the .whl file will depend on your platform. -$ sudo pip install /tmp/tensorflow_pkg/tensorflow-0.12.1-py2-none-any.whl +$ sudo pip install /tmp/tensorflow_pkg/tensorflow-1.0.0rc1-py2-none-any.whl ``` ## Optimizing CPU performance To be compatible with as wide a range of machines as possible, TensorFlow -defaults to only using SSE4.1 SIMD instructions on x86 machines. Most modern PCs -and Macs support more advanced instructions, so if you're building a binary -that you'll only be running on your own machine, you can enable these by using -`--copt=-march=native` in your bazel build command. For example: +defaults to only using SSE4 SIMD instructions. Most modern computers support +more advanced instructions. So if you're building a binary that you'll only +be running on your own machine, you can enable these by using `-march=native` +for optimization options when running `configure`. Then you can build your +optimized binaries with the following command: ``` bash -$ bazel build --copt=-march=native -c opt //tensorflow/tools/pip_package:build_pip_package +$ bazel build --config opt //tensorflow/tools/pip_package:build_pip_package ``` If you are distributing a binary but know the capabilities of the machines you'll be running on, you can manually choose the right instructions with -something like `--copt=-march=avx`. You may also want to enable multiple +something like `-march=avx`. You may also want to enable multiple features using several arguments, for example -`--copt=-mavx2 --copt=-mfma`. +`-mavx2,-mfma`. If you run a binary built using SIMD instructions on a machine that doesn't support them, you'll see an illegal instruction error when that code is @@ -902,10 +945,10 @@ system directories, run the following commands inside the TensorFlow root directory: ```bash -bazel build -c opt //tensorflow/tools/pip_package:build_pip_package +bazel build --config opt //tensorflow/tools/pip_package:build_pip_package # To build with GPU support: -bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_package +bazel build --config opt --config=cuda //tensorflow/tools/pip_package:build_pip_package mkdir _python_build cd _python_build |