Traceback (most recent call last):


 "<console>", line 1, in <module>


 ".../joblib/hashing.py", line 263, in hash

return hasher.hash(obj)


 ".../joblib/hashing.py", line 69, in hash

self.dump(obj)


 "/usr/lib64/python3.7/pickle.py", line 437, in dump

self.save(obj)


 ".../joblib/hashing.py", line 243, in save

Hasher.save(self, obj)


 ".../joblib/hashing.py", line 95, in save

Pickler.save(self, obj)


 "/usr/lib64/python3.7/pickle.py", line 504, in save

f(self, obj) # Call unbound method with explicit self


 "/usr/lib64/python3.7/pickle.py", line 771, in save_tuple

save(element)


 ".../joblib/hashing.py", line 243, in save

Hasher.save(self, obj)


 ".../joblib/hashing.py", line 95, in save

Pickler.save(self, obj)


 "/usr/lib64/python3.7/pickle.py", line 504, in save

f(self, obj) # Call unbound method with explicit self


 "/usr/lib64/python3.7/pickle.py", line 786, in save_tuple

save(element)


 ".../joblib/hashing.py", line 242, in save

obj = (klass, ('HASHED', obj.descr))


 ".../numpy/core/_internal.py", line 115, in _array_descr

"dtype.descr is not defined for types with overlapping or "
ValueError: dtype.descr is not defined for types with overlapping or out-of-order fields

Traceback (most recent call last):


 "keras_to_tensorflow.py", line 182, in <module>

app.run(main)


 "/usr/local/lib/python3.7/site-packages/absl/app.py", line 300, in run

_run_main(main, args)


 "/usr/local/lib/python3.7/site-packages/absl/app.py", line 251, in _run_main

sys.exit(main(argv))


 "keras_to_tensorflow.py", line 128, in main

model = load_model(FLAGS.input_model, FLAGS.input_model_json, FLAGS.input_model_yaml)


 "keras_to_tensorflow.py", line 80, in load_model

raise err


 "keras_to_tensorflow.py", line 75, in load_model

model = model_from_json(open(str(input_json_path)).read())


 "/usr/local/lib/python3.7/site-packages/keras/engine/saving.py", line 664, in model_from_json

return deserialize(config, custom_objects=custom_objects)


 "/usr/local/lib/python3.7/site-packages/keras/layers/__init__.py", line 168, in deserialize

printable_module_name='layer')


 "/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}