afe.apis.release_v1

Source: afe/apis/release_v1.py

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

Imports

• afe.apis.defines.gen1_target
• afe.apis.transform.Transform
• afe.core.utils.convert_data_generator_to_iterable
• afe.core.utils.length_hinted
• afe.ir.defines.InputName
• afe.ir.defines.NodeName
• afe.ir.defines.Status
• afe.ir.defines.TupleValue
• afe.ir.defines.data_value_elements
• afe.ir.defines.get_expected_tensor_value
• afe.ir.net.AwesomeNet
• afe.ir.net.Renaming
• afe.ir.net.inline_awesomenet_subgraphs
• afe.ir.net.rename_awesomenet_nodes
• afe.ir.node.AwesomeNode
• afe.ir.node.node_is_tuple
• afe.ir.tensor_type.TensorType
• copy
• ev_transforms.transforms.resize
• sima_utils.common.Platform
• sima_utils.data.data_generator.DataGenerator
• sima_utils.data.data_generator.get_dummy_data_generator
• typing.Dict
• typing.List
• typing.Optional
• typing.Tuple

Functions

• create_auxiliary_processing_network(transforms: List[Transform], input_types: Dict[InputName, TensorType], *, input_node_names: Optional[List[NodeName]] = None, net_name: str = 'aux_net', status: Status = Status.RELAY, target: Platform = gen1_target) -> AwesomeNet (line 94): Creates an AwesomeNet from the list of Transforms.

  Parameters:

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

  Returns: AwesomeNet containing nodes corresponding to the transforms list.

• compose_awesomenets(nets: List[AwesomeNet], status: Status = Status.RELAY, combined_model_name: str = 'main') -> AwesomeNet (line 142): Creates an AwesomeNet form the list of AwesomeNets. Each AwesomeNet in the list of input AwesomeNets becomes the subnet of the resulting AwesomeNet.

  Parameters:

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

  Returns: The AwesomeNet consisting of the input AwesomeNets.

• get_model_sdk_version() -> str (line 211)

  Returns: str