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。
RTX 5090要首发 性能要翻倍!三星展示GDDR7显存
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