1 /* Copyright 2020 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_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_TRANSFORMS_MAP_CHLO_TO_MHLO_OP_H_
17 #define TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_TRANSFORMS_MAP_CHLO_TO_MHLO_OP_H_
18
19 #include <type_traits>
20
21 #include "mlir-hlo/Dialect/mhlo/IR/chlo_ops.h"
22 #include "mlir-hlo/Dialect/mhlo/IR/hlo_ops.h"
23 #include "mlir/IR/PatternMatch.h"
24
25 namespace mlir {
26 namespace chlo {
27
28 template <typename FromOpTy, typename ToOpTy>
29 struct HloNaryElementwiseAdaptor {
CreateOpHloNaryElementwiseAdaptor30 static ToOpTy CreateOp(FromOpTy from_op, Type result_type,
31 ValueRange broadcasted_operands, OpBuilder &builder) {
32 return builder.create<ToOpTy>(from_op.getLoc(), result_type,
33 broadcasted_operands);
34 }
35 };
36 struct HloCompareAdaptor {
CreateOpHloCompareAdaptor37 static mhlo::CompareOp CreateOp(BroadcastCompareOp from_op, Type result_type,
38 ValueRange broadcasted_operands,
39 OpBuilder &builder) {
40 return builder.create<mhlo::CompareOp>(
41 from_op.getLoc(), result_type, broadcasted_operands[0],
42 broadcasted_operands[1], from_op.comparison_direction(),
43 from_op.compare_typeAttr());
44 }
45 };
46
47 // Populate a pattern for each Broadcasting CHlo op. This requires the pattern
48 // to take a ChloOpTy, NonBroadcastingOpTy, and an Adaptor as templated values.
49 template <template <typename, typename, typename> class Pattern,
50 typename... ConstructorArgs>
PopulateForBroadcastingBinaryOp(MLIRContext * context,OwningRewritePatternList * patterns,ConstructorArgs &&...args)51 void PopulateForBroadcastingBinaryOp(MLIRContext *context,
52 OwningRewritePatternList *patterns,
53 ConstructorArgs &&...args) {
54 #define POPULATE_BCAST(ChloOp, HloOp) \
55 patterns->insert< \
56 Pattern<ChloOp, HloOp, HloNaryElementwiseAdaptor<ChloOp, HloOp>>>( \
57 context, args...);
58
59 POPULATE_BCAST(BroadcastAddOp, mhlo::AddOp);
60 POPULATE_BCAST(BroadcastAndOp, mhlo::AndOp);
61 POPULATE_BCAST(BroadcastAtan2Op, mhlo::Atan2Op);
62 POPULATE_BCAST(BroadcastComplexOp, mhlo::ComplexOp);
63 POPULATE_BCAST(BroadcastDivOp, mhlo::DivOp);
64 POPULATE_BCAST(BroadcastMaxOp, mhlo::MaxOp);
65 POPULATE_BCAST(BroadcastMinOp, mhlo::MinOp);
66 POPULATE_BCAST(BroadcastMulOp, mhlo::MulOp);
67 POPULATE_BCAST(BroadcastNextAfterOp, NextAfterOp);
68 POPULATE_BCAST(BroadcastOrOp, mhlo::OrOp);
69 POPULATE_BCAST(BroadcastPolygammaOp, PolygammaOp);
70 POPULATE_BCAST(BroadcastPowOp, mhlo::PowOp);
71 POPULATE_BCAST(BroadcastRemOp, mhlo::RemOp);
72 POPULATE_BCAST(BroadcastShiftLeftOp, mhlo::ShiftLeftOp);
73 POPULATE_BCAST(BroadcastShiftRightArithmeticOp, mhlo::ShiftRightArithmeticOp);
74 POPULATE_BCAST(BroadcastShiftRightLogicalOp, mhlo::ShiftRightLogicalOp);
75 POPULATE_BCAST(BroadcastSubOp, mhlo::SubOp);
76 POPULATE_BCAST(BroadcastXorOp, mhlo::XorOp);
77 POPULATE_BCAST(BroadcastZetaOp, ZetaOp);
78
79 // Broadcasting ops requiring special construction.
80 patterns
81 ->insert<Pattern<BroadcastCompareOp, mhlo::CompareOp, HloCompareAdaptor>>(
82 context, args...);
83
84 #undef POPULATE_BCAST
85 }
86
87 } // namespace chlo
88 } // namespace mlir
89
90 #endif // TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_TRANSFORMS_MAP_CHLO_TO_HLO_OP_H_
91