afe.apis.release_v1
===================

.. py:module:: afe.apis.release_v1

.. autoapi-nested-parse::

   This is the development API for AFE.  It supports importing models,
   loading and storing AFE's internal format, quantizing, executing, and
   simulating.



Functions
---------

.. autoapisummary::

   afe.apis.release_v1.create_auxiliary_processing_network
   afe.apis.release_v1.compose_awesomenets
   afe.apis.release_v1.get_model_sdk_version


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

.. py:function:: create_auxiliary_processing_network(transforms: List[afe.apis.transform.Transform], input_types: Dict[afe.ir.defines.InputName, afe.ir.tensor_type.TensorType], *, input_node_names: Optional[List[afe.ir.defines.NodeName]] = None, net_name: str = 'aux_net', status: afe.ir.defines.Status = Status.RELAY, target: sima_utils.common.Platform = gen1_target) -> afe.ir.net.AwesomeNet

   Creates an AwesomeNet from the list of Transforms.

   :param transforms: The list of Transforms. Each transform in the list correspond to one input.
   :param input_types: The list of input types. Each input correspond to one Transform.
   :param input_node_names: If set, determines the input names of the resulting AwesomeNet.
   :param net_name: The name of the resulting AwesomeNet. Default it "aux_net".
   :param status: The status of the created AwesomeNet. Default is Status.RELAY.
   :param target: A target platform that a model is compiled for.
   :return: AwesomeNet containing nodes corresponding to the transforms list.


.. py:function:: compose_awesomenets(nets: List[afe.ir.net.AwesomeNet], status: afe.ir.defines.Status = Status.RELAY, combined_model_name: str = 'main') -> afe.ir.net.AwesomeNet

   Creates an AwesomeNet form the list of AwesomeNets. Each AwesomeNet in the list
   of input AwesomeNets becomes the subnet of the resulting AwesomeNet.

   :param nets: List[AwesomeNet]. The list of input AwesomeNet which are to be composed
       into a single AwesomeNet.
   :param status: Parameter setting the status of composed network. Default value is Status.RELAY
   :param combined_model_name: Combined model name.
   :return: The AwesomeNet consisting of the input AwesomeNets.


.. py:function:: get_model_sdk_version() -> str