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.gzWARNING: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.gzWARNING: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.gzExtracting /home/wd/MNIST_data/t10k-labels-idx1-ubyte.gzWARNING: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。