diff options
Diffstat (limited to 'tensorflow/contrib/lite/python/lite_test.py')
| -rw-r--r-- | tensorflow/contrib/lite/python/lite_test.py | 14 |
1 files changed, 11 insertions, 3 deletions
diff --git a/tensorflow/contrib/lite/python/lite_test.py b/tensorflow/contrib/lite/python/lite_test.py index d243a494f6..ef9bbded2a 100644 --- a/tensorflow/contrib/lite/python/lite_test.py +++ b/tensorflow/contrib/lite/python/lite_test.py @@ -591,11 +591,19 @@ class FromFrozenGraphFile(test_util.TensorFlowTestCase): 'Unable to parse input file \'{}\'.'.format(graph_def_file), str(error.exception)) - # TODO(nupurgarg): Test model loading in open source. def _initObjectDetectionArgs(self): # Initializes the arguments required for the object detection model. - self._graph_def_file = resource_loader.get_path_to_datafile( - 'testdata/tflite_graph.pb') + # Looks for the model file which is saved in a different location interally + # and externally. + filename = resource_loader.get_path_to_datafile('testdata/tflite_graph.pb') + if not os.path.exists(filename): + filename = os.path.join( + resource_loader.get_root_dir_with_all_resources(), + '../tflite_mobilenet_ssd_quant_protobuf/tflite_graph.pb') + if not os.path.exists(filename): + raise IOError("File '{0}' does not exist.".format(filename)) + + self._graph_def_file = filename self._input_arrays = ['normalized_input_image_tensor'] self._output_arrays = [ 'TFLite_Detection_PostProcess', 'TFLite_Detection_PostProcess:1', |