# Copyright 2023 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== def ExperimentalMlirQuantizeModel(input_contents_txt_raw: object, disable_per_channel: bool = ..., fully_quantize: bool = ..., inference_type: int = ..., input_data_type: int = ..., output_data_type: int = ..., enable_numeric_verify: bool = ..., enable_whole_model_verify: bool = ..., op_blocklist: object = ..., node_blocklist: object = ..., enable_variable_quantization: bool = ...) -> object: ... def ExperimentalMlirSparsifyModel(input_contents_txt_raw: object) -> object: ... def FlatBufferToMlir(arg0: str, arg1: bool) -> str: ... def RegisterCustomOpdefs(custom_opdefs_txt_raw: object) -> object: ... def RetrieveCollectedErrors() -> list: ... def TocoConvert(model_flags_proto_txt_raw: object, toco_flags_proto_txt_raw: object, input_contents_txt_raw: object, extended_return: bool = ..., debug_info_txt_raw: object = ..., enable_mlir_converter: bool = ..., quantization_py_function_library = ...) -> object: ...