diff options
Diffstat (limited to 'tensorflow/contrib/lite/python/lite.py')
| -rw-r--r-- | tensorflow/contrib/lite/python/lite.py | 11 |
1 files changed, 11 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/python/lite.py b/tensorflow/contrib/lite/python/lite.py index 44dfb97b84..2be24455d8 100644 --- a/tensorflow/contrib/lite/python/lite.py +++ b/tensorflow/contrib/lite/python/lite.py @@ -40,6 +40,7 @@ from google.protobuf import text_format as _text_format from google.protobuf.message import DecodeError from tensorflow.contrib.lite.python import lite_constants as constants from tensorflow.contrib.lite.python.convert import build_toco_convert_protos # pylint: disable=unused-import +from tensorflow.contrib.lite.python.convert import ConverterMode from tensorflow.contrib.lite.python.convert import tensor_name as _tensor_name from tensorflow.contrib.lite.python.convert import toco_convert # pylint: disable=unused-import from tensorflow.contrib.lite.python.convert import toco_convert_graph_def as _toco_convert_graph_def @@ -113,6 +114,8 @@ class TocoConverter(object): output file. (default None) dump_graphviz_video: Boolean indicating whether to dump the graph after every graph transformation. (default False) + converter_mode: Experimental flag, subject to change. ConverterMode + indicating which converter to use. (default ConverterMode.DEFAULT) Example usage: @@ -179,6 +182,7 @@ class TocoConverter(object): self.post_training_quantize = False self.dump_graphviz_dir = None self.dump_graphviz_video = False + self.converter_mode = ConverterMode.DEFAULT # Attributes are used by models that cannot be loaded into TensorFlow. if not self._has_valid_tensors(): @@ -389,6 +393,7 @@ class TocoConverter(object): ValueError: Input shape is not specified. None value for dimension in input_tensor. + ConverterMode option is unsupported for the model. """ # Checks dimensions in input tensor. if self._has_valid_tensors(): @@ -439,12 +444,18 @@ class TocoConverter(object): # Converts model. if self._has_valid_tensors(): + converter_kwargs["converter_mode"] = self.converter_mode result = _toco_convert_impl( input_data=self._graph_def, input_tensors=self._input_tensors, output_tensors=self._output_tensors, **converter_kwargs) else: + # Graphs without valid tensors cannot be loaded into tf.Session since they + # contain TFLite operation(s) that cannot be resolved in TensorFlow. + if self.converter_mode != ConverterMode.DEFAULT: + raise ValueError("This model can only be converted with the default " + "converter.") result = _toco_convert_graph_def( input_data=self._graph_def, input_arrays_with_shape=self._input_arrays_with_shape, |