convert keras to TF issues

[onexuan]

convert keras to TF issues
https://github.com/idealo/image-quality-assessment/tree/master/models/MobileNet

Using TensorFlow backend.
E1024 13:13:24.766817 4580332992 keras_to_tensorflow.py:79] Couldn't load model from json.
Traceback (most recent call last):
File "keras_to_tensorflow.py", line 63, in load_model
model = keras.models.load_model(input_model_path)
File "/usr/local/lib/python3.7/site-packages/keras/engine/saving.py", line 492, in load_wrapper
return load_function(*args, **kwargs)
File "/usr/local/lib/python3.7/site-packages/keras/engine/saving.py", line 584, in load_model
model = _deserialize_model(h5dict, custom_objects, compile)
File "/usr/local/lib/python3.7/site-packages/keras/engine/saving.py", line 270, in _deserialize_model
model_config = h5dict['model_config']
File "/usr/local/lib/python3.7/site-packages/keras/utils/io_utils.py", line 318, in getitem
raise ValueError('Cannot create group in read-only mode.')
ValueError: Cannot create group in read-only mode.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "keras_to_tensorflow.py", line 182, in
app.run(main)
File "/usr/local/lib/python3.7/site-packages/absl/app.py", line 300, in run
_run_main(main, args)
File "/usr/local/lib/python3.7/site-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "keras_to_tensorflow.py", line 128, in main
model = load_model(FLAGS.input_model, FLAGS.input_model_json, FLAGS.input_model_yaml)
File "keras_to_tensorflow.py", line 80, in load_model
raise err
File "keras_to_tensorflow.py", line 75, in load_model
model = model_from_json(open(str(input_json_path)).read())
File "/usr/local/lib/python3.7/site-packages/keras/engine/saving.py", line 664, in model_from_json
return deserialize(config, custom_objects=custom_objects)
File "/usr/local/lib/python3.7/site-packages/keras/layers/init.py", line 168, in deserialize
printable_module_name='layer')
File "/usr/local/lib/python3.7/site-packages/keras/utils/generic_utils.py", line 129, in deserialize_keras_object
raise ValueError('Improper config format: ' + str(config))
ValueError: Improper config format: {'train_env': 'remote', 's3_bucket': 'ds-hotel-image-assessment', 'docker_image': 'idealo/nima-gpu', 'base_model_name': 'MobileNet', 'existing_weights': None, 'n_classes': 10, 'batch_size': 96, 'epochs_train_dense': 5, 'learning_rate_dense': 0.001, 'decay_dense': 0, 'epochs_train_all': 9, 'learning_rate_all': 3e-05, 'decay_all': 2.3e-05, 'l2_reg': None, 'dropout_rate': 0.75, 'multiprocessing_data_load': True, 'num_workers_data_load': 8}