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1 //===- LinalgOps.h - Linalg Operations --------------------------*- C++ -*-===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //
7 //===----------------------------------------------------------------------===//
8 
9 #ifndef MLIR_DIALECT_LINALG_LINALGOPS_H_
10 #define MLIR_DIALECT_LINALG_LINALGOPS_H_
11 
12 #include "mlir/Dialect/Linalg/IR/LinalgTraits.h"
13 #include "mlir/Dialect/Linalg/IR/LinalgTypes.h"
14 #include "mlir/Dialect/StandardOps/IR/Ops.h"
15 #include "mlir/Dialect/Utils/StructuredOpsUtils.h"
16 #include "mlir/IR/AffineExpr.h"
17 #include "mlir/IR/AffineMap.h"
18 #include "mlir/IR/BlockAndValueMapping.h"
19 #include "mlir/IR/Builders.h"
20 #include "mlir/IR/BuiltinDialect.h"
21 #include "mlir/IR/BuiltinTypes.h"
22 #include "mlir/IR/OpDefinition.h"
23 #include "mlir/IR/TypeUtilities.h"
24 #include "mlir/IR/Types.h"
25 #include "mlir/Interfaces/CopyOpInterface.h"
26 #include "mlir/Interfaces/SideEffectInterfaces.h"
27 #include "mlir/Interfaces/ViewLikeInterface.h"
28 #include "mlir/Support/LLVM.h"
29 
30 #include "llvm/ADT/STLExtras.h"
31 
32 namespace mlir {
33 namespace linalg {
34 
35 class ConvOp;
36 class LinalgOp;
37 class PoolingMaxOp;
38 class PoolingMinOp;
39 class PoolingSumOp;
40 
41 // TOFO: allow an extra ValueRange to specify an indexing and allow
42 // non-hyperrectangular shapes.
43 using LoopRangeBuilder =
44     std::function<SmallVector<Range, 4>(OpBuilder &, Location)>;
45 
46 /// Returns the values obtained by applying `map` to the list of values.
47 SmallVector<Value, 4> applyMapToValues(OpBuilder &b, Location loc,
48                                        AffineMap map, ValueRange values);
49 
50 /// Provide a very simple inference procedure to build the loop ranges from the
51 /// op and its operands. This only works with permutation affine maps and
52 /// patterns of the form `(m, n)[s] -> (m + n - s floordiv 2)`.
53 /// A more advanced Tensor-Comprehension like inference is possible but has
54 /// proven to be ambiguous in unfavorable case.
55 /// As a consequence, we relax the default behavior very conservatively and
56 /// provide an op-specified hook so that Linalg ops may override the behavior.
57 LoopRangeBuilder defaultLoopRangesBuilder(LinalgOp op);
58 
59 using ReassociationIndices = SmallVector<int64_t, 2>;
60 using ReassociationExprs = SmallVector<AffineExpr, 2>;
61 
62 /// Returns the name mangled library call name to disambiguate between different
63 /// overloads at the C level. The name mangling scheme is basic and uses MLIR
64 /// type names:
65 ///   1. form a string which is the concatenation of the linalg op name with all
66 ///      the operand type names, separate by underscores;
67 ///   2. drop the `linalg.` prefix, and the `<`, `>`, `?` symbols from the type.
68 /// Assumes `op` is a LinalgOp.
69 ///
70 /// Examples:
71 ///
72 /// 1. linalg.fill(%A, %f) : memref<f32>, f32
73 ///   name mangles into `linalg_fill_viewf32_f32_impl`
74 ///
75 /// 2. linalg.dot %A, %B, %C :
76 ///      (memref<?xf32, stride_specification>,
77 ///       memref<?xf32, stride_specification>, memref<f32>)
78 ///   name mangles into `linalg_dot_viewxf32_viewxf32_viewf32_impl`
79 ///
80 /// 3. linalg.matmul(...) :
81 ///      memref<?x?xf32, stride_specification>,
82 ///      memref<?x?xf32, stride_specification>,
83 ///      memref<?x?xf32, stride_specification>
84 ///   name mangles into `linalg_matmul_viewxxf32_viewxxf32_viewxxf32_impl`
85 std::string generateLibraryCallName(Operation *op);
86 
87 /// Returns `num` AffineDimExpr dimensions at positions
88 ///   [startIdx, startIdx + num) and increments `startIdx` to `startIdx + num`.
89 SmallVector<AffineExpr, 4> makeAffineDimExprs(unsigned num, unsigned &startIdx,
90                                               MLIRContext *context);
91 
92 /// Builds the indexing expressions for a ConvOp/PoolingOp `op`. Returns the
93 /// vector of AffineMaps representing:
94 ///   `stride[i] * outputDims[i] + dilation[i] * windowDims[i] - pad_low[i]`
95 template <typename PoolingOp>
96 extern SmallVector<AffineExpr, 4>
97 weightedPoolingInputIndex(PoolingOp op, ArrayRef<AffineExpr> outputDims,
98                           ArrayRef<AffineExpr> windowDims);
99 
100 /// Returns `maybeMap.get()` if `maybeMap` is set, otherwise returns the
101 /// symbol-less identity map of `rank`.
102 AffineMap extractOrIdentityMap(Optional<AffineMap> maybeMap, unsigned rank,
103                                MLIRContext *context);
104 
105 /// Return the vector that is the concatenation of `a` and `b`.
106 SmallVector<AffineExpr, 4> concat(ArrayRef<AffineExpr> a,
107                                   ArrayRef<AffineExpr> b);
108 
109 /// Return the dims that are `iteratorTypeName` loops in the LinalgOp `op`.
110 /// Assumes `op` is a LinalgOp.
111 void getDimsOfType(Operation *op, StringRef iteratorTypeName,
112                    SmallVectorImpl<AffineExpr> &res);
113 
114 } // namespace linalg
115 } // namespace mlir
116 
117 #include "mlir/Dialect/Linalg/IR/LinalgStructuredOpsInterfaces.h.inc"
118 
119 #define GET_OP_CLASSES
120 #include "mlir/Dialect/Linalg/IR/LinalgOps.h.inc"
121 
122 #define GET_OP_CLASSES
123 #include "mlir/Dialect/Linalg/IR/LinalgStructuredOps.h.inc"
124 
125 #endif // MLIR_DIALECT_LINALG_LINALGOPS_H_
126