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}