Convert a model using TOCO. (deprecated)
View aliases
Compat aliases for migration
See Migration guide for more details.
tf.lite.toco_convert(
input_data, input_tensors, output_tensors, *args, **kwargs
)
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. often sess.graph_def ),
|
input_tensors
|
List of input tensors. Type and shape are computed using
foo.shape and foo.dtype .
|
output_tensors
|
List of output tensors (only .name is used from this). |
*args
|
See build_toco_convert_protos ,
|
**kwargs
|
See build_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 .
|