Traceback (most recent call last):


 "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1327, in _do_call

return fn(*args)


 "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1306, in _run_fn

status, run_metadata)


 "/usr/local/Cellar/python3/3.6.2/Frameworks/Python.framework/Versions/3.6/lib/python3.6/contextlib.py", line 88, in __exit__

next(self.gen)


 "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status

pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'deepq/observation' with dtype float and shape [?,84,84,4]

Traceback (most recent call last):


 "keras_retinanet/bin/train.py", line 441, in <module>

main()


 "keras_retinanet/bin/train.py", line 437, in main

callbacks=callbacks,


 "/home/jin/pyenv/tf2/local/lib/python2.7/site-packages/keras/legacy/interfaces.py", line 91, in wrapper

return func(*args, **kwargs)


 "/home/jin/pyenv/tf2/local/lib/python2.7/site-packages/keras/engine/training.py", line 2280, in fit_generator

callbacks.on_epoch_end(epoch, epoch_logs)


 "/home/jin/pyenv/tf2/local/lib/python2.7/site-packages/keras/callbacks.py", line 77, in on_epoch_end

callback.on_epoch_end(epoch, logs)


 "keras_retinanet/bin/../../keras_retinanet/callbacks/common.py", line 30, in on_epoch_end

self.callback.on_epoch_end(epoch, logs=logs)


 "keras_retinanet/bin/../../keras_retinanet/callbacks/eval.py", line 54, in on_epoch_end

save_path=self.save_path


 "keras_retinanet/bin/../../keras_retinanet/utils/eval.py", line 163, in evaluate

all_detections
= _get_detections(generator, model, score_threshold=score_threshold, max_detections=max_detections, save_path=save_path)


 "keras_retinanet/bin/../../keras_retinanet/utils/eval.py", line 81, in _get_detections

boxes, scores, labels = model.predict_on_batch(np.expand_dims(image, axis=0))


 "/home/jin/pyenv/tf2/local/lib/python2.7/site-packages/keras/engine/training.py", line 1952, in predict_on_batch

outputs = self.predict_function(ins)


 "/home/jin/pyenv/tf2/local/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 2475, in __call__

**self.session_kwargs)


 "/home/jin/pyenv/tf2/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 889, in run

run_metadata_ptr)


 "/home/jin/pyenv/tf2/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1120, in _run

feed_dict_tensor, options, run_metadata)


 "/home/jin/pyenv/tf2/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1317, in _do_run

options, run_metadata)


 "/home/jin/pyenv/tf2/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1336, in _do_call

raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Incompatible shapes: [1,156231] vs. [1,260385]
