Python 警告：请使用 tensorflow/models 中的替代方法，例如 official/mnist/dataset.py
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Warning: Please use alternatives such as official/mnist/dataset.py from tensorflow/models
提问by Jorge Rodriguez Molinuevo
I'm doing a simple tutorial using Tensorflow, I have just installed so it should be updated, first I load the mnist data using the following code:
我正在使用 Tensorflow 做一个简单的教程，我刚刚安装，所以应该更新它，首先我使用以下代码加载 mnist 数据：
import numpy as np
import os
from tensorflow.examples.tutorials.mnist import input_data
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
train_data = mnist.train.images # Returns np.array
train_labels = np.asarray(mnist.train.labels, dtype=np.int32)
eval_data = mnist.test.images # Returns np.array
eval_labels = np.asarray(mnist.test.labels, dtype=np.int32)
But when I run it I get the following warning:
但是当我运行它时，我收到以下警告：
WARNING:tensorflow:From C:\Users\user\PycharmProjects\TensorFlowRNN\venv\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.
WARNING:tensorflow:From C:/Users/user/PycharmProjects/TensorFlowRNN/sample.py:5: 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 C:\Users\user\PycharmProjects\TensorFlowRNN\venv\lib\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 C:\Users\user\PycharmProjects\TensorFlowRNN\venv\lib\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 MNIST_data/train-images-idx3-ubyte.gz
WARNING:tensorflow:From C:\Users\user\PycharmProjects\TensorFlowRNN\venv\lib\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 MNIST_data/train-labels-idx1-ubyte.gz
WARNING:tensorflow:From C:\Users\user\PycharmProjects\TensorFlowRNN\venv\lib\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 MNIST_data/t10k-images-idx3-ubyte.gz
Extracting MNIST_data/t10k-labels-idx1-ubyte.gz
WARNING:tensorflow:From C:\Users\user\PycharmProjects\TensorFlowRNN\venv\lib\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.
I have used the line os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'which should avoid getting warnings and tried other alternatives to obtain mnist, however always appear the same warnings, can someone help me figure out is this happening?
我已经使用了os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'应该避免收到警告的行并尝试了其他替代方法来获得 mnist，但是总是出现相同的警告，有人可以帮我弄清楚是否发生了这种情况？
PD: I am using Python 3.6 in windows 10, in case it helps.
PD：我在 Windows 10 中使用 Python 3.6，以防万一。
采纳答案by Y. Luo
You can use tf.loggingmodulelike this:
您可以像这样使用tf.logging模块：
import numpy as np
import tensorflow as tf
old_v = tf.logging.get_verbosity()
tf.logging.set_verbosity(tf.logging.ERROR)
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
train_data = mnist.train.images # Returns np.array
train_labels = np.asarray(mnist.train.labels, dtype=np.int32)
eval_data = mnist.test.images # Returns np.array
eval_labels = np.asarray(mnist.test.labels, dtype=np.int32)
tf.logging.set_verbosity(old_v)
回答by Enrique Pérez Herrero
tensorflow.examples.tutorialsis now deprecated and it is recommended to use tensorflow.keras.datasetsas follows:
tensorflow.examples.tutorials现在已弃用，建议使用tensorflow.keras.datasets如下：
import tensorflow as tf
mnist = tf.keras.datasets.mnist
(X_train, y_train), (X_test, y_test) = mnist.load_data()
https://www.tensorflow.org/api_docs/python/tf/keras/datasets/mnist/load_data
https://www.tensorflow.org/api_docs/python/tf/keras/datasets/mnist/load_data
