1/* Copyright 2022 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations under the License.
14==============================================================================*/
15
16#ifndef TENSORFLOW_DTENSOR_MLIR_OP_UTILS_H_
17#define TENSORFLOW_DTENSOR_MLIR_OP_UTILS_H_
18
19#include <string>
20
21#include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project
22#include "mlir/IR/Operation.h" // from @llvm-project
23#include "mlir/IR/Value.h" // from @llvm-project
24#include "tensorflow/dtensor/mlir/ir/tf_dtensor.h"
25
26namespace tensorflow {
27namespace dtensor {
28
29// Computes a deterministic hash of the given operation.
30uint64_t OpHash(mlir::Operation* op);
31
32inline std::string OpName(mlir::Operation* op) {
33 auto ref = op->getName().getStringRef();
34 return ref.str();
35}
36
37// Returns FuncOp if `op` is a callable.
38absl::optional<mlir::func::FuncOp> MaybeFindFunction(mlir::Operation* op);
39
40// Removes tf.DTensorLayout op and forwards it's input to it's users.
41// For example:
42// %0 = tf.A()
43// %1 = tf.DTensorLayout(%0)
44// %2 = tf.B(%1)
45//
46// Will be converted to:
47// %0 = tf.A()
48// %2 = tf.B(%0)
49void RemoveDTensorLayoutOp(mlir::TF::DTensorLayout layout);
50
51} // namespace dtensor
52} // namespace tensorflow
53
54#endif // TENSORFLOW_DTENSOR_MLIR_OP_UTILS_H_
55