ubuntu16.04 安装 tensorflow (cpu 版本)详细可行步骤
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参考技术A2、 Tensorflow cpu 版本的安装
1、 是pip3(Python3.5版本),不是pip(python2.7版本);
2、输入命令行时,空格会导致输入不正确,得注意;
3、 测试安装成功
1、命令行输入: python
2、继续输入:
重装Anaconda 时,关于卸载Anaconda3的方法:
ubuntu 安装TensorFlow
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 >>>
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ubuntu16.04 安装 tensorflow (cpu 版本)详细可行步骤