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tf.lite.toco_convert

View source on GitHub

Convert a model using TOCO. (deprecated)

Aliases:

  • tf.compat.v1.lite.toco_convert
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.