Source code for netspresso.enums.model

from enum import Enum
from typing import Literal


[docs]class Framework(str, Enum): TENSORFLOW_KERAS = "tensorflow_keras" TENSORFLOW = "saved_model" PYTORCH = "pytorch" ONNX = "onnx" TENSORRT = "tensorrt" OPENVINO = "openvino" TENSORFLOW_LITE = "tensorflow_lite" DRPAI = "drpai"
[docs] @classmethod def create_compressor_literal(cls): return Literal["tensorflow_keras", "pytorch", "onnx"]
[docs] @classmethod def create_launcher_literal(cls): return Literal[ "onnx", "tensorrt", "openvino", "tensorflow_lite", "drpai", "keras", "saved_model", ]
[docs]class Extension(str, Enum): H5 = "h5" ZIP = "zip" PT = "pt" ONNX = "onnx" @classmethod def create_literal(cls): return Literal["h5", "zip", "pt", "onnx"]
[docs]class OriginFrom(str, Enum): CUSTOM = "custom" NPMS = "npms" @classmethod def create_literal(cls): return Literal["custom", "npms"]
[docs]class DataType(str, Enum): FP32 = "FP32" FP16 = "FP16" INT8 = "INT8" NONE = "" @classmethod def create_literal(cls): return Literal["FP32", "FP16", "INT8", ""]
compressor_framework_literal = Framework.create_compressor_literal() launcher_framework_literal = Framework.create_launcher_literal() extension_literal = Extension.create_literal() originfrom_literal = OriginFrom.create_literal() datatype_literal = DataType.create_literal()