Ubuntu14.04中的Tensorflow安裝

Question

我在Ubuntu14.04上安裝了tensorflow，並與Anaconda一起安裝了它。我遵循官方的安裝指南。安裝后，逐步執行此代碼時出錯。

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

當我跑步

sess = tf.Session()

它說：

2017-09-03 17:04:11.220320: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-09-03 17:04:11.220355: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-09-03 17:04:11.220363: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-09-03 17:04:11.220369: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-09-03 17:04:11.220374: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.

Answer 1

這不是實際的“錯誤”。 通知您 ，如果從源安裝並支持上述說明，例如SSE4.1，SSE4.2等，則計算可能會更快。

您可以繼續使用Tensorflow，盡管它的速度不如從源代碼編譯的速度快。

如果要在啟用這些說明的情況下安裝Tensorflow，則必須：

1. 安裝擋板

從其可用版本之一下載它，例如0.5.2 。 解壓縮它，進入目錄並配置它： bash ./compile.sh 。 將可執行文件復制到/usr/local/bin ： sudo cp ./output/bazel /usr/local/bin

2. 安裝Tensorflow

克隆tensorflow： git clone https://github.com/tensorflow/tensorflow.git轉到克隆目錄進行配置：./ ./configure

它會提示您幾個問題，下面我建議了每個問題的答案，您當然可以根據需要選擇自己的答案：

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

3. 最終版本將是一個pip軟件包，要構建它，您必須描述所需的指令（您知道，那些Tensorflow通知您丟失了）。

構建pip腳本： 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

構建pip軟件包： bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg

安裝剛剛構建的Tensorflow pip軟件包： sudo pip install /tmp/tensorflow_pkg/tensorflow-1.2.1-cp27-cp27mu-linux_x86_64.whl

現在，下次您啟動Tensorflow時，它將不再抱怨缺少指令。