xref: /aosp_15_r20/external/tensorflow/tensorflow/core/transforms/region_to_functional/pass.h (revision b6fb3261f9314811a0f4371741dbb8839866f948)
1 /* Copyright 2022 The TensorFlow Authors. All Rights Reserved.
2 
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6 
7     http://www.apache.org/licenses/LICENSE-2.0
8 
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15 
16 #ifndef TENSORFLOW_CORE_TRANSFORMS_REGION_TO_FUNCTIONAL_PASS_H_
17 #define TENSORFLOW_CORE_TRANSFORMS_REGION_TO_FUNCTIONAL_PASS_H_
18 
19 #include <memory>
20 
21 #include "mlir/Pass/Pass.h"  // from @llvm-project
22 
23 namespace mlir {
24 namespace tfg {
25 // Creates a conversion pass from region control-flow to functional
26 // control-flow. If `force_control_capture` is set, then all region control-flow
27 // ops are guaranteed to be converted to functional form by capturing implicit
28 // control tokens using a `Const` node.
29 std::unique_ptr<Pass> CreateRegionToFunctionalPass(
30     bool force_control_capture = false);
31 }  // namespace tfg
32 }  // namespace mlir
33 
34 #endif  // TENSORFLOW_CORE_TRANSFORMS_REGION_TO_FUNCTIONAL_PASS_H_
35