TensorFlow中无法导入MNIST数据集

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当我运行下面代码时，提示我无法下载mnist数据集。

mnist = input_data.read_data_sets("data", one_hot=True)
# 设置变量
x = tf.placeholder("float", [None, 784])
W = tf.Variable(tf.zeros([784, 10]))
b = tf.Variable(tf.zeros([10]))
y = tf.nn.softmax(tf.matmul(x, W) + b)
y_ = tf.placeholder("float", [None, 10])
cross_entropy = -tf.reduce_sum(y_*tf.log(y))
train_step = tf.train.GradientDescentOptimizer(0.01).minimize(cross_entropy)
# 初始化变量
init = tf.initialize_all_variables()
# 启动
sess = tf.Session()
sess.run(init)
# 训练模型
for i in range(1000):
    batch_xs, batch_ys = mnist.train.next_batch(100)
    sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys})
# 预测
correct_prediction = tf.equal(tf.argmax(y, 1), tf.argmax(y_, 1))
accuracy = tf.reduce_mean(tf.cast(correct_prediction, "float"))
# 预测
print(sess.run(accuracy, feed_dict={x: mnist.test.images, y_: mnist.test.labels}))

于是我重新创建了data文件夹，并下载数据集放进data，再次重新运行代码，结果如下：

Extracting data\train-images-idx3-ubyte.gz
Extracting data\train-labels-idx1-ubyte.gz
Extracting data\t10k-images-idx3-ubyte.gz
Extracting data\t10k-labels-idx1-ubyte.gz
0.9177
Process finished with exit code 0

问题解决！