# 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.

# ==============================================================================

from typing import overload

def ExperimentalConvertSavedModelToMlir(arg0: str, arg1: str, arg2: bool) -> str: ...

def ExperimentalConvertSavedModelV1ToMlir(arg0: str, arg1: str, arg2: str, arg3: bool, arg4: bool, arg5: bool, arg6: bool) -> str: ...

def ExperimentalConvertSavedModelV1ToMlirLite(arg0: str, arg1: str, arg2: str, arg3: bool, arg4: bool) -> str: ...

def ExperimentalRunPassPipeline(arg0: str, arg1: str, arg2: bool) -> str: ...

def ExperimentalWriteBytecode(arg0: str, arg1: str) -> None: ...

def ImportFunction(arg0: object, arg1: str, arg2: str, arg3: bool) -> str: ...

@overload

def ImportGraphDef(arg0: str, arg1: str, arg2: bool) -> str: ...

@overload

def ImportGraphDef(arg0: str, arg1: str, arg2: bool, arg3: str, arg4: str, arg5: str, arg6: str) -> str: ...