Question

我在我的Ubuntu14.04上安装了tensorflow，我用Anaconda安装了它。我按照官方安装指南。安装后，我一步一步地运行这个代码。出错了。

[2, 2, 150, 150, 150, 70, 70, 70, 150]

当我跑步时

import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))

它说：

sess = tf.Session()

Answer 1

这不是真正的＆＃34;错误＆＃34;。 informing you如果您从源代码安装了支持所提到的指令，例如SSE4.1，SSE4.2等，那么计算可能会更快。

你可以继续使用Tensorflow，虽然它不会像从源代码编译那么快。

如果要在启用这些说明的情况下安装Tensorflow，则必须：

安装Bazel

从其中一个可用的releases下载，例如0.5.2。解压缩，进入目录并进行配置：bash ./compile.sh。将可执行文件复制到/usr/local/bin：sudo cp ./output/bazel /usr/local/bin

安装Tensorflow

克隆张量流：git clone https://github.com/tensorflow/tensorflow.git 转到克隆目录进行配置：./configure

它会提示您几个问题，下面我建议您回答每个问题，当然，您可以根据自己的喜好选择自己的答案：

Using python library path: /usr/local/lib/python2.7/dist-packages
Do you wish to build TensorFlow with MKL support? [y/N] y
MKL support will be enabled for TensorFlow
Do you wish to download MKL LIB from the web? [Y/n] Y
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]: 
Do you wish to use jemalloc as the malloc implementation? [Y/n] n
jemalloc disabled
Do you wish to build TensorFlow with Google Cloud Platform support? [y/N] N
No Google Cloud Platform support will be enabled for TensorFlow
Do you wish to build TensorFlow with Hadoop File System support? [y/N] N
No Hadoop File System support will be enabled for TensorFlow
Do you wish to build TensorFlow with the XLA just-in-time compiler (experimental)? [y/N] N
No XLA JIT support will be enabled for TensorFlow
Do you wish to build TensorFlow with VERBS support? [y/N] N
No VERBS support will be enabled for TensorFlow
Do you wish to build TensorFlow with OpenCL support? [y/N] N
No OpenCL support will be enabled for TensorFlow
Do you wish to build TensorFlow with CUDA support? [y/N] N
No CUDA support will be enabled for TensorFlow

最终构建将是一个pip包，为了构建它，你必须描述你想要的指令（你知道，那些Tensorflow告诉你缺少）。

构建pip脚本：bazel build -c opt --copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-mfpmath=both --copt=-msse4.1 --copt=-msse4.2 -k //tensorflow/tools/pip_package:build_pip_package

构建pip包：bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg

安装刚刚构建的Tensorflow pip包：sudo pip install /tmp/tensorflow_pkg/tensorflow-1.2.1-cp27-cp27mu-linux_x86_64.whl

现在下次启动Tensorflow时，它不会再抱怨丢失说明了。

Ubuntu14.04中的Tensorflow安装

1 个答案: