首页 > python教程

解决tensorflow读取本地MNITS_data失败的原因

时间:2020-09-09 python教程 查看: 1109

MNITS_data 下载保存在本地,一定不要解压!不要解压!不要解压!因为input_data读取的是压缩包

>>>import tensorflow as tf
>>>from tensorflow.examples.tutorials.mnist import input_data
>>>input_data.read_data_stes("/home/wd/MNIST_data",one_hot=True)
WARNING:tensorflow:From <stdin>:1: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
WARNING:tensorflow:From /home/wd/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Please write your own downloading logic.
WARNING:tensorflow:From /home/wd/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use tf.data to implement this functionality.
Extracting /home/wd/MNIST_data/train-images-idx3-ubyte.gz
WARNING:tensorflow:From /home/wd/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use tf.data to implement this functionality.
Extracting /home/wd/MNIST_data/train-labels-idx1-ubyte.gz
WARNING:tensorflow:From /home/wd/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:110: dense_to_one_hot (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use tf.one_hot on tensors.
Extracting /home/wd/MNIST_data/t10k-images-idx3-ubyte.gz
Extracting /home/wd/MNIST_data/t10k-labels-idx1-ubyte.gz
WARNING:tensorflow:From /home/wd/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use alternatives such as official/mnist/dataset.py from tensorflow/models.
>>> print(mnist.train.images.shape, mnist.train.labels.shape)
(55000, 784) (55000, 10)
>>> print(mnist.test.images.shape, mnist.test.labels.shape)
(10000, 784) (10000, 10)

补充知识:成功解决 \tensorflow\…\datasets\mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.lea

解决问题

\tensorflow\contrib\learn\python\learn\datasets\mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.
Instructions for updating:
Please use alternatives such as official/mnist/dataset.py from tensorflow/models.

解决思路

警告位置:\tensorflow\contrib\learn\python\learn\datasets\mnist.py:290:

DataSet.__init__ 来自tensorflow.contrib.learn.python.learn.datasets.mnist)已弃用,将在将来的版本中删除。

解决方法

更新说明:

请使用tensorflow/models 中的 official/mnist/dataset.py 等备选方案。

以上这篇解决tensorflow读取本地MNITS_data失败的原因就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持python博客。

展开全文
上一篇:python实现猜数游戏(保存游戏记录)
下一篇:python os模块在系统管理中的应用
输入字:
相关知识
Python 实现图片色彩转换案例

我们在看动漫、影视作品中,当人物在回忆过程中,体现出来的画面一般都是黑白或者褐色的。本文将提供将图片色彩转为黑白或者褐色风格的案例详解,感兴趣的小伙伴可以了解一下。

python初学定义函数

这篇文章主要为大家介绍了python的定义函数,具有一定的参考价值,感兴趣的小伙伴们可以参考一下,希望能够给你带来帮助,希望能够给你带来帮助

图文详解Python如何导入自己编写的py文件

有时候自己写了一个py文件,想要把它导入到另一个py文件里面,所以下面这篇文章主要给大家介绍了关于Python如何导入自己编写的py文件的相关资料,需要的朋友可以参考下

python二分法查找实例代码

二分算法是一种效率比较高的查找算法,其输入的是一个有序的元素列表,如果查找元素包含在列表中,二分查找返回其位置,否则返回NONE,下面这篇文章主要给大家介绍了关于python二分法查找的相关资料,需要的朋友可以参考下