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解決tensorflow讀取本地MNITS_data失敗的原因

更新時間：2020年06月22日 14:29:20 作者：wangdan113269

這篇文章主要介紹了解決tensorflow讀取本地MNITS_data失敗的原因，具有很好的參考價值，希望對大家有所幫助。一起跟隨小編過來看看吧

MNITS_data 下載保存在本地，一定不要解壓！不要解壓！不要解壓！因為input_data讀取的是壓縮包

>>>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)

補(bǔ)充知識：成功解決 \tensorflow\…\datasets\mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.lea

解決問題

\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.

解決思路

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

DataSet.__init__ 來自tensorflow.contrib.learn.python.learn.datasets.mnist）已棄用，將在將來的版本中刪除。

解決方法

更新說明：

請使用tensorflow/models 中的 official/mnist/dataset.py 等備選方案。

以上這篇解決tensorflow讀取本地MNITS_data失敗的原因就是小編分享給大家的全部內(nèi)容了，希望能給大家一個參考，也希望大家多多支持腳本之家。

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