TensorFlow MNIST 问题解决

2023年8月1日 92次阅读

TensorFlow MNIST 问题解决

一、数据集下载错误

错误：IOError: [Errno socket error] [Errno 101] Network is unreachable

A: 手动下载：
http://yann.lecun.com/exdb/mnist/
下面的四个包

train-images-idx3-ubyte.gz: training set images (9912422 bytes)
train-labels-idx1-ubyte.gz: training set labels (28881 bytes)
t10k-images-idx3-ubyte.gz: test set images (1648877 bytes)
t10k-labels-idx1-ubyte.gz: test set labels (4542 bytes)

B: 将下载到的包拷贝到如下目录（注意新版本已经不是之前的MNIST_data 目录了）

cp *.gz /tmp/tensorflow/mnist/input_data/

二、不能运行

错误: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX0.9166

A: 零时解决办法

mnist_softmax.py 中加入如下代码：

在 import sys 后加入如下代码

import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf

如果出现如下警告： ‘TF_CPP_MIN_LOG_LEVEL’ represents the Tensorflow environment variable responsible for logging.
则 在ubuntu 上执行如下：

export TF_CPP_MIN_LOG_LEVEL=2

B: 彻底解决此问题

（1）卸载已安装的tensorflow

sudo pip uninstall tensorflow

(2) 用下面的命令重新编译 tensorflow

GPU & CPU

bazel build -c opt –copt=-march=native –copt=-mfpmath=both –config=cuda -k //tensorflow/tools/pip_package:build_pip_package

仅CPU

bazel build -c opt –copt=-march=native –copt=-mfpmath=both -k //tensorflow/tools/pip_package:build_pip_package

（3）生成安装包

bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg

(4) 安装

sudo -H pip install /tmp/tensorflow_pkg/tensorflow-1.4.0-cp27-cp27mu-linux_x86_64.whl

参考：
https://stackoverflow.com/questions/42463594/cpu-instructions-not-compiled-with-tensorflow

三、 安装TensorFlow时出现警告

安装命令：

sudo pip install /tmp/tensorflow_pkg/tensorflow-1.4.0-cp27-cp27mu-linux_x86_64.whl

警告：

The directory ‘/home/dyufei/.cache/pip/http’ or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo’s -H flag.

解决办法：

用sudo -H 命令安装：

sudo -H pip install /tmp/tensorflow_pkg/tensorflow-1.4.0-cp27-cp27mu-linux_x86_64.whl

参考：https://stackoverflow.com/questions/33437798/osx-10-11-1-cant-install-gevent

点赞