安裝部署（九） TensorFlow和SkFlow安裝

1. tensorflow installation


environment:
anaconda2
git


references:
https://www.tensorflow.org/versions/r0.10/get_started/os_setup.html#download-and-setup
http://www.tensorfly.cn/tfdoc/get_started/os_setup.html


Pip Installation


Pip is a package management system used to install and manage software packages written in Python.


The packages that will be installed or upgraded during the pip install are listed in the REQUIRED_PACKAGES section of setup.py.


Install pip (or pip3 for python3) if it is not already installed:


# Ubuntu/Linux 64-bit
$ sudo apt-get install python-pip python-dev


# Mac OS X
$ sudo easy_install pip
$ sudo easy_install --upgrade six
Then, select the correct binary to install:


# Ubuntu/Linux 64-bit, CPU only, Python 2.7
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0rc0-cp27-none-linux_x86_64.whl


# 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.
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0rc0-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-0.10.0rc0-py2-none-any.whl


# Mac OS X, GPU enabled, Python 2.7:
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.10.0rc0-py2-none-any.whl


# Ubuntu/Linux 64-bit, CPU only, Python 3.4
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0rc0-cp34-cp34m-linux_x86_64.whl


# 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.
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0rc0-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-0.10.0rc0-cp35-cp35m-linux_x86_64.whl


# Ubuntu/Linux 64-bit, GPU enabled, Python 3.5
# Requires CUDA toolkit 7.5 and CuDNN v4. For other versions, see "Install from sources" below.
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0rc0-cp35-cp35m-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-0.10.0rc0-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-0.10.0rc0-py3-none-any.whl
Install TensorFlow:


# Python 2
$ sudo pip install --upgrade $TF_BINARY_URL


# Python 3
$ sudo pip3 install --upgrade $TF_BINARY_URL
NOTE: If you are upgrading from a previous installation of TensorFlow < 0.7.1, you should uninstall the previous TensorFlow and protobuf using pip uninstall first to make sure you get a clean installation of the updated protobuf dependency.


You can now test your installation.




2. skflow installation
git clone https://github.com/tensorflow/skflow.git
https://github.com/tensorflow/skflow


cd skflow
python setup.py install