tf.lite.toco_convert

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. often sess.graph_def),
• input_tensors: List of input tensors. Type and shape are computed using foo.get_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.