Traceback (most recent call last):


 "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main

"__main__", mod_spec)


 "/usr/lib/python3.6/runpy.py", line 85, in _run_code

exec(code, run_globals)


 "/home/vasiliy/Projects/models/research/object_detection/model_main.py", line 111, in <module>

tf.app.run()


 "/home/vasiliy/Projects/venv/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run

_sys.exit(main(argv))


 "/home/vasiliy/Projects/models/research/object_detection/model_main.py", line 107, in main

tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])


 "/home/vasiliy/Projects/venv/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 471, in train_and_evaluate

return executor.run()


 "/home/vasiliy/Projects/venv/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 611, in run

return self.run_local()


 "/home/vasiliy/Projects/venv/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 712, in run_local

saving_listeners=saving_listeners)


 "/home/vasiliy/Projects/venv/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 358, in train

loss = self._train_model(input_fn, hooks, saving_listeners)


 "/home/vasiliy/Projects/venv/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1124, in _train_model

return self._train_model_default(input_fn, hooks, saving_listeners)


 "/home/vasiliy/Projects/venv/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1154, in _train_model_default

features, labels, model_fn_lib.ModeKeys.TRAIN, self.config)


 "/home/vasiliy/Projects/venv/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1112, in _call_model_fn

model_fn_results = self._model_fn(features=features, **kwargs)


 "/home/vasiliy/Projects/models/research/object_detection/model_lib.py", line 302, in model_fn

features[fields.InputDataFields.true_image_shape])


 "/home/vasiliy/Projects/models/research/object_detection/meta_architectures/ssd_meta_arch.py", line 581, in predict

predictor_results_dict = self._box_predictor(feature_maps)


 "/home/vasiliy/Projects/venv/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py", line 538, in __call__

self._maybe_build(inputs)


 "/home/vasiliy/Projects/venv/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py", line 1603, in _maybe_build

self.build(input_shapes)


 "/home/vasiliy/Projects/models/research/object_detection/predictors/convolutional_keras_box_predictor.py", line 136, in build

if len(input_shapes) != len(self._prediction_heads[BOX_ENCODINGS]):
TypeError: object of type 'NoneType' has no len()

Traceback (most recent call last):


 "/usr/lib/python2.7/site-packages/nose/case.py", line 197, in runTest

self.test(*self.arg)
TypeError: test_memmap_persistence_mixed_dtypes() takes exactly 1 argument (0 given)
