为什么我的代码无法从Google加载MNIST数据集？

Question

i need some your help

i can't load MNIST dataset from this.

My system enviroment is as follows
OS : Ubuntu 16.04
Python version : 3.5
Tensorflow version : 1.12

Following is my code:

import tensorflow as tf
import numpy as np

train, test = tf.keras.datasets.mnist.load_data()
train_x, train_y = train

dataset = tf.data.Dataset.from_tensor_slices(({"image":train_x}, train_y))
dataset = dataset.shuffle(100000).repeat().batch(10)

iterator = dataset.make_one_shot_iterator()
next_element = iterator.get_next()

sess = tf.Session()

print(sess.run(next_element))

when i run this code on my computer it stucks at ETA0 and doesn't finishing downloading from google like this.

Downloading data from here.
11476992/11490434 [============================>.] - ETA: 0s

What should i do on this problem, please help me... :(

Answer 1

Running fine on my Linux machine with Python3, must be a network issue. Try changing the internet connection or check for proxies if any and try again.

Answer 2

You may be behind a proxy... for example if you are on a corporate network.

On Windows the Python interpreter will get a proxy from your system environmental variables:

set the system variable HTTP_PROXY to the value http://yourproxy

and the system variable HTTPS_PROXY to the value http://yourproxy

Alternately, you can set the environment in a specific Python terminal session according to the answer to this post set proxy in python session