---------------------------------------------------------------------------
UnknownError                              Traceback (most recent call last)
<ipython-input-10-f100b465891f> in <module>
     14 # 이미지에 대해 Object Detection 수행.
     15 start = time.time()
---> 16 boxes, scores, labels = retina_model.predict_on_batch(np.expand_dims(image, axis=0))
     17 print(boxes.shape, scores.shape, labels.shape)
     18 print("processing time: ", time.time() - start)

~/.conda/envs/tf115/lib/python3.6/site-packages/keras/engine/training.py in predict_on_batch(self, x)
   1578             ins = x
   1579         self._make_predict_function()
-> 1580         outputs = self.predict_function(ins)
   1581         return unpack_singleton(outputs)
   1582 

~/.conda/envs/tf115/lib/python3.6/site-packages/tensorflow_core/python/keras/backend.py in __call__(self, inputs)
   3474 
   3475     fetched = self._callable_fn(*array_vals,
-> 3476                                 run_metadata=self.run_metadata)
   3477     self._call_fetch_callbacks(fetched[-len(self._fetches):])
   3478     output_structure = nest.pack_sequence_as(

~/.conda/envs/tf115/lib/python3.6/site-packages/tensorflow_core/python/client/session.py in __call__(self, *args, **kwargs)
   1470         ret = tf_session.TF_SessionRunCallable(self._session._session,
   1471                                                self._handle, args,
-> 1472                                                run_metadata_ptr)
   1473         if run_metadata:
   1474           proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

UnknownError: 2 root error(s) found.
  (0) Unknown: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
	 [[{{node conv1/convolution}}]]
	 [[filtered_detections/map/while/Switch_1/_1877]]
  (1) Unknown: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
	 [[{{node conv1/convolution}}]]
0 successful operations.
0 derived errors ignored.