解决tensorflow读取本地MNITS_data失败的原因

时间:2022-07-27
本文章向大家介绍解决tensorflow读取本地MNITS_data失败的原因,主要内容包括其使用实例、应用技巧、基本知识点总结和需要注意事项,具有一定的参考价值,需要的朋友可以参考一下。

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…datasetsmnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.lea

解决问题

tensorflowcontriblearnpythonlearndatasetsmnist.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:tensorflowcontriblearnpythonlearndatasetsmnist.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。

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