Tensorflow报错:ModuleNotFoundError: No module named 'tensorflow.python.keras.datasets'

import tensorflow as tf
import os
import numpy as np
import resnet_model
path = "F:\cifar-10-batches-py"
from tensorflow.python.keras.datasets.cifar import load_batch
fpath = os.path.join(path, 'train')
x_train, y_train = load_batch(fpath, label_key='fine' + '_labels')
fpath = os.path.join(path, 'test')
x_test, y_test = load_batch(fpath, label_key='fine' + '_labels')
x_train = tf.transpose(x_train,[0,2,3,1])
y_train = np.float32(tf.keras.utils.to_categorical(y_train,num_classes=100))
x_test = tf.transpose(x_test,[0,2,3,1])
y_test = np.float32(tf.keras.utils.to_categorical(y_test,num_classes=100))
batch_size  = 48
train_data = tf.data.Dataset.from_tensor_slices((x_train,y_train)).shuffle(batch_size*10).batch(batch_size).repeat(3)

model = resnet_model.resnet_Model()
model.compile(optimizer=tf.optimizers.Adam(1e-2), loss=tf.losses.categorical_crossentropy,metrics = ['accuracy'])
model.fit(train_data, epochs=10)
score = model.evaluate(x_test, y_test)
print("last score:",score)

出现如下报错:
File "F:\pythonProject19\main.py", line 6, in
from tensorflow.python.keras.datasets.cifar import load_batch
ModuleNotFoundError: No module named 'tensorflow.python.keras.datasets'
本人的tensorflow版本为2.2.0,有人知道为什么会出现这种情况吗?

你用的python什么版本的

• 这篇博客也许可以解决你的问题👉 ：解决tensorflow ModuleNotFoundError: No module named 'tensorflow.python'
• 除此之外, 这篇博客: 解决import Tensorflow.models错误，解决No module named 'cifar10'错误中的 安装tensorflow_datasets 部分也许能够解决你的问题, 你可以仔细阅读以下内容或跳转源博客中阅读:
  

• 在命令窗口激活对应虚拟环境：activate tensorflow_env
  安装包：pip install tensorflow_datasets

  安装完成后提示错误：ImportError: This version of TensorFlow Datasets requires TensorFlow version >=1.13.0; Detected an installation of version 1.5.0. Please upgrade TensorFlow toproceed.

  这是提示我们升级Tensorflow,升级命令:pip install -upgrade tensorflow
  一般情况下这时导入会出现numpy与tensorflow不兼容的情况，只需要将numpy 卸载再安装一个低于1.17的版本即可。

  此时再运行代码，出现下图，这不是错误，详细请查看官方文档：https://tensorflow.google.cn/datasets/overview
  
  亲测，问题解决。