小编Int*_*ion的帖子

Google Colab（python 2.7）或我的本地系统（python 3.6）上的 Tensorflow 1.10 使用来自https://www.tensorflow.org/guide/keras 的示例代码 代码是

import numpy as np
import tensorflow as tf
from tensorflow import keras

data = np.random.random((1000, 32))
labels = np.random.random((1000, 10))
dataset1 = tf.data.Dataset.from_tensor_slices((data, labels))
dataset1 = dataset1.batch(32)
dataset1 = dataset1.repeat()

model = keras.Sequential()
model.add(keras.layers.Dense(64, activation='relu'))
model.add(keras.layers.Dense(64, activation='relu'))
model.add(keras.layers.Dense(10, activation='softmax'))

model.compile(optimizer=tf.train.AdamOptimizer(0.001),
              loss='categorical_crossentropy',
              metrics=['accuracy'])

model.fit(dataset1, epochs=10, steps_per_epoch=30)

抛出以下错误：

    Error TypeError: Input 'y' of 'Mul' Op has type float32 that does not match type float64 of argument 'x'.

packages/tensorflow/python/framework/op_def_library.pyc in _apply_op_helper(self, op_type_name, …