谷歌构建tensorflow教程时出错

Question

我是tensorflow的新手。我无法构建tensorflow 2.0的google tensorflow教程。这是页面https://www.tensorflow.org/alpha/tutorials/keras/basic_classification 我无法从Google下载数据。因此，我将数据下载到本地，并使用mnist_reader读取数据。然后我检查了mnist_reader的输出，图像大小正确（28 * 28）。

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关于model.fit有一个例外。

def load_mnist(path, kind='train'):
import os
import gzip
import numpy as np

"""Load MNIST data from `path`"""
labels_path = os.path.join(path,
                           '%s-labels-idx1-ubyte.gz'
                           % kind)
images_path = os.path.join(path,
                           '%s-images-idx3-ubyte.gz'
                           % kind)

with gzip.open(labels_path, 'rb') as lbpath:
    labels = np.frombuffer(lbpath.read(), dtype=np.uint8,
                           offset=8)

with gzip.open(images_path, 'rb') as imgpath:
    images = np.frombuffer(imgpath.read(), dtype=np.uint8,
                           offset=16).reshape(len(labels), 28, 28)

return images, labels