标签：nbsp http const log uda led style span color
1.安装pip
$ sudo apt-get install python-pip python-dev
2.安装 TensorFlow for Python 2.7
# 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. # 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 # Mac OS X, CPU only: $ sudo easy_install --upgrade six $ sudo pip install --upgrade https://storage.googleapis.com/tensorflow/mac/tensorflow-0.8.0-py2-none-any.whl
3. 安装 TensorFlow for Python 3.4
# 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. # 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 # Mac OS X, CPU only: $ sudo easy_install --upgrade six $ sudo pip3 install --upgrade https://storage.googleapis.com/tensorflow/mac/tensorflow-0.8.0-py3-none-any.whl
备注：如果之前安装过 TensorFlow < 0.7.1 的版本,应该先使用 pip uninstall 卸载 TensorFlow 和 protobuf ,保证获取的是一个最新 protobuf 依赖下的安装包.
4.测试是否安装成功
$ python ... >>> import tensorflow as tf >>> hello = tf.constant(‘Hello, TensorFlow!‘) >>> sess = tf.Session() >>> print(sess.run(hello)) Hello, TensorFlow! >>> a = tf.constant(10) >>> b = tf.constant(32) >>> print(sess.run(a + b)) 42 >>>
标签：nbsp http const log uda led style span color
原文地址：http://www.cnblogs.com/esin/p/6411620.html
