diff options
| author |  Smit Hinsu <hinsu@google.com> | 2018-10-09 19:06:55 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-10-09 19:11:07 -0700 |
| commit | 9369994b4b2c4fe822d67a9f65384532cc09c99d (patch) | |
| tree | ba78754f5965c4a9ddedf4ec3542c61d70f44a36 | |
| parent | 48b24214dd5da842bd00414b46f3e46319c777ee (diff) | |
Automated rollback of commit d78c747e9177fc93d43a580acef2b62eb1420859
PiperOrigin-RevId: 216463443
| -rw-r--r-- | tensorflow/contrib/lite/python/BUILD | 2 | ||||
| -rw-r--r-- | tensorflow/contrib/lite/python/lite_test.py | 14 |
2 files changed, 5 insertions, 11 deletions
diff --git a/tensorflow/contrib/lite/python/BUILD b/tensorflow/contrib/lite/python/BUILD index be6c44d306..916788f215 100644 --- a/tensorflow/contrib/lite/python/BUILD +++ b/tensorflow/contrib/lite/python/BUILD @@ -73,6 +73,7 @@ py_test( data = ["@tflite_mobilenet_ssd_quant_protobuf//:tflite_graph.pb"], srcs_version = "PY2AND3", tags = [ + "no_oss", "no_windows", ], deps = [ @@ -171,6 +172,7 @@ py_test( srcs = ["convert_saved_model_test.py"], srcs_version = "PY2AND3", tags = [ + "no_oss", "no_windows", ], visibility = ["//visibility:public"], diff --git a/tensorflow/contrib/lite/python/lite_test.py b/tensorflow/contrib/lite/python/lite_test.py index ef9bbded2a..d243a494f6 100644 --- a/tensorflow/contrib/lite/python/lite_test.py +++ b/tensorflow/contrib/lite/python/lite_test.py @@ -591,19 +591,11 @@ 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. - # 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._graph_def_file = resource_loader.get_path_to_datafile( + 'testdata/tflite_graph.pb') self._input_arrays = ['normalized_input_image_tensor'] self._output_arrays = [ 'TFLite_Detection_PostProcess', 'TFLite_Detection_PostProcess:1', |