diff options
Diffstat (limited to 'tensorflow/contrib/lite/python/lite_test.py')
| -rw-r--r-- | tensorflow/contrib/lite/python/lite_test.py | 19 |
1 files changed, 15 insertions, 4 deletions
diff --git a/tensorflow/contrib/lite/python/lite_test.py b/tensorflow/contrib/lite/python/lite_test.py index 1c94ba605a..3f8ea433ff 100644 --- a/tensorflow/contrib/lite/python/lite_test.py +++ b/tensorflow/contrib/lite/python/lite_test.py @@ -521,14 +521,21 @@ class FromFrozenGraphFile(test_util.TensorFlowTestCase): self.assertTrue(([1, 16, 16, 3] == output_details[0]['shape']).all()) self.assertEqual((0., 0.), output_details[0]['quantization']) - def testInvalidFile(self): + def testInvalidFileNotFound(self): + with self.assertRaises(IOError) as error: + lite.TocoConverter.from_frozen_graph('invalid_file', ['Placeholder'], + ['add']) + self.assertEqual('File \'invalid_file\' does not exist.', + str(error.exception)) + + def testInvalidFileBadData(self): graph_def_file = os.path.join(self.get_temp_dir(), 'invalid_file') with gfile.Open(graph_def_file, 'wb') as temp_file: temp_file.write('bad data') temp_file.flush() # Attempts to convert the invalid model. - with self.assertRaises(ValueError) as error: + with self.assertRaises(IOError) as error: lite.TocoConverter.from_frozen_graph(graph_def_file, ['Placeholder'], ['add']) self.assertEqual( @@ -539,7 +546,7 @@ class FromFrozenGraphFile(test_util.TensorFlowTestCase): 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.pbtxt') + 'testdata/tflite_graph.pb') self._input_arrays = ['normalized_input_image_tensor'] self._output_arrays = [ 'TFLite_Detection_PostProcess', 'TFLite_Detection_PostProcess:1', @@ -586,7 +593,7 @@ class FromFrozenGraphFile(test_util.TensorFlowTestCase): output_details[3]['name']) self.assertTrue(([1] == output_details[3]['shape']).all()) - def testTFLiteGraphDefInvalid(self): + def testTFLiteGraphDefMissingShape(self): # Tests invalid cases for the model that cannot be loaded in TensorFlow. self._initObjectDetectionArgs() @@ -597,6 +604,10 @@ class FromFrozenGraphFile(test_util.TensorFlowTestCase): self.assertEqual('input_shapes must be defined for this model.', str(error.exception)) + def testTFLiteGraphDefInvalidShape(self): + # Tests invalid cases for the model that cannot be loaded in TensorFlow. + self._initObjectDetectionArgs() + # `input_shapes` does not contain the names in `input_arrays`. with self.assertRaises(ValueError) as error: lite.TocoConverter.from_frozen_graph( |