Aliases:
tf.contrib.lite.toco_convert
tf.lite.toco_convert
tf.lite.toco_convert(
input_data,
input_tensors,
output_tensors,
*args,
**kwargs
)
Defined in tensorflow/lite/python/convert.py
.
Convert a model using TOCO. (deprecated)
Typically this function is used to convert from TensorFlow GraphDef to TFLite.
Conversion can be customized by providing arguments that are forwarded to
build_toco_convert_protos
(see documentation for details). This function has
been deprecated. Please use lite.TFLiteConverter
instead.
Args:
input_data
: Input data (i.e. oftensess.graph_def
),input_tensors
: List of input tensors. Type and shape are computed usingfoo.get_shape()
andfoo.dtype
.output_tensors
: List of output tensors (only .name is used from this).*args
: Seebuild_toco_convert_protos
,**kwargs
: Seebuild_toco_convert_protos
.
Returns:
The converted data. For example if TFLite was the destination, then this will be a tflite flatbuffer in a bytes array.
Raises:
Defined in build_toco_convert_protos
.