ubuntu Anaconda安装 tensorflow

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本文提供了一个详细的步骤来安装TensorFlow，包括如何创建Python环境、安装TensorFlow的不同版本以及验证安装是否成功。适用于不同操作系统的安装命令都有提供。

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一、建立一个tensorflow环境

Python 2.7
conda create -n tensorflow1 python=2.7

Python 3.4
conda create -n tensorflow1 python=3.4

Python 3.7
conda create -n tensorflow1 python=3.7

使用conda env list 可以检测

二、在新建环境中安装tensorflow

先激活新建的环境，然后，选择pip或者conda安装tensorflow

$ source activate tensorflow1

依据操作系统，Python版本，CPU版本还是CPU+GPU版本，选择合适的语句

Ubuntu/Linux 64-bit, CPU only, Python 2.7
(tensorflow1)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl

Ubuntu/Linux 64-bit, GPU enabled, Python 2.7
Requires CUDA toolkit 7.5 and CuDNN v5. For other versions, see "Install from sources" below.
(tensorflow1)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl

Mac OS X, CPU only, Python 2.7:
(tensorflow1)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.10.0-py2-none-any.whl

Mac OS X, GPU enabled, Python 2.7:
(tensorflow1)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.10.0-py2-none-any.whl

Ubuntu/Linux 64-bit, CPU only, Python 3.4
(tensorflow1)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0-cp34-cp34m-linux_x86_64.whl

Ubuntu/Linux 64-bit, GPU enabled, Python 3.4
Requires CUDA toolkit 7.5 and CuDNN v5. For other versions, see "Install from sources" below.
(tensorflow1)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0-cp34-cp34m-linux_x86_64.whl

Ubuntu/Linux 64-bit, CPU only, Python 3.5
(tensorflow1)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0-cp35-cp35m-linux_x86_64.whl

Ubuntu/Linux 64-bit, GPU enabled, Python 3.5
Requires CUDA toolkit 7.5 and CuDNN v5. For other versions, see "Install from sources" below.
(tensorflow1)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0-cp35-cp35m-linux_x86_64.whl

Mac OS X, CPU only, Python 3.4 or 3.5:
(tensorflow1)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.10.0-py3-none-any.whl

Mac OS X, GPU enabled, Python 3.4 or 3.5:
(tensorflow1)$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.10.0-py3-none-any.whl

我安装的命令：export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl

Python 2
(tensorflow1)$ pip install --ignore-installed --upgrade $TF_BINARY_URL

Python 3
(tensorflow1)$ pip3 install --ignore-installed --upgrade $TF_BINARY_URL

用pip install --ignore-installed --upgrade $TF_BINARY_URL