afe.load.importers.tflite
=========================

.. py:module:: afe.load.importers.tflite


Functions
---------

.. autoapisummary::

   afe.load.importers.tflite.import_tflite_model
   afe.load.importers.tflite.validate_input_parameters
   afe.load.importers.tflite.import_tflite_to_tvm


Module Contents
---------------

.. py:function:: import_tflite_model(file_path: str)

   Load a TFLite model from a tflite file
   :param file_path: str. File path to the tensorflow .pb file
   :return: A TFLite model


.. py:function:: validate_input_parameters(tflite_file_path: str, shape_dict: Dict[str, Tuple[int, Ellipsis]], dtype_dict: Dict[str, afe.ir.tensor_type.ScalarType]) -> None

   Validates the user supplied input.
   :param tflite_file_path: filepath to the tensorflow .pb file
   :param shape_dict: dictionary of input names to input shapes (eg. (1,224,224,3))
   :param dtype_dict: dictionary of input names to input types (eg. float32 or int64)


.. py:function:: import_tflite_to_tvm(tflite_file_path: str, shape_dict: Dict[str, Tuple[int, Ellipsis]], dtype_dict: Dict[str, afe.ir.tensor_type.ScalarType]) -> afe._tvm._defines.TVMIRModule

   Use TVM frontend to import a tflite pb model into TVM Relay IR
   :param tflite_file_path: filepath to the tensorflow .pb file
   :param shape_dict: dictionary of input names to input shapes (eg. (1,224,224,3))
   :param dtype_dict: dictionary of input names to input types (eg. float32 or int64)
   :return: Imported TVM IR module.