我在Google Colab上训练了Cats vs Dogs分类模型，然后下载了该模型，其权重以及.json文件以获取其结构，但是每当我尝试运行以下代码时：
#read model structure from .json file
with open('./models/cats_vs_dogs_1-15.json', 'r') as json_file:
json_savedModel = json_file.read()
#load model architecture
model_x = tf.keras.models.model_from_json(json_savedModel)
我收到以下错误：
Traceback (most recent call last):
File "ddw.py", line 8, in <module>
model_x = tf.keras.models.model_from_json(json_savedModel)
File "/home/hmrbcnt/Documents/thesis/try_2.1.5/trial/lib/python3.6/site-packages/tensorflow/python/keras/_impl/keras/models.py", line 361, in model_from_json
return layer_module.deserialize(config, custom_objects=custom_objects)
File "/home/hmrbcnt/Documents/thesis/try_2.1.5/trial/lib/python3.6/site-packages/tensorflow/python/keras/_impl/keras/layers/serialization.py", line 63, in deserialize
printable_module_name='layer')
File "/home/hmrbcnt/Documents/thesis/try_2.1.5/trial/lib/python3.6/site-packages/tensorflow/python/keras/_impl/keras/utils/generic_utils.py", line 164, in deserialize_keras_object
list(custom_objects.items())))
File "/home/hmrbcnt/Documents/thesis/try_2.1.5/trial/lib/python3.6/site-packages/tensorflow/python/keras/_impl/keras/models.py", line 1333, in from_config
layer = layer_module.deserialize(conf, custom_objects=custom_objects)
File "/home/hmrbcnt/Documents/thesis/try_2.1.5/trial/lib/python3.6/site-packages/tensorflow/python/keras/_impl/keras/layers/serialization.py", line 63, in deserialize
printable_module_name='layer')
File "/home/hmrbcnt/Documents/thesis/try_2.1.5/trial/lib/python3.6/site-packages/tensorflow/python/keras/_impl/keras/utils/generic_utils.py", line 184, in deserialize_keras_object
function_name)
ValueError: Unknown layer:name
我目前正在运行tensorflow v1.5，因为我的CPU不支持avx，而我正在运行Keras 2.1.5，因为使用Keras 2.3会导致tf_utils错误。我也不在模型中使用任何自定义图层。当我尝试加载模型或模型的权重时，也会发生同样的事情。
我也尝试过在Colab上使用1.x版本的tensorflow训练模型，但是在本地加载时仍然会遇到相同的错误。如果有人可以帮助我，我将非常感激。谢谢！