xref: /llvm-project/mlir/unittests/Analysis/Presburger/Utils.h (revision d0fee98e0cd6afa116bed90c47cc33bbf8d7b867)
1 //===- Utils.h - Utils for Presburger Tests ---------------------*- 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 // This file defines helper functions for Presburger unittests.
10 //
11 //===----------------------------------------------------------------------===//
12 
13 #ifndef MLIR_UNITTESTS_ANALYSIS_PRESBURGER_UTILS_H
14 #define MLIR_UNITTESTS_ANALYSIS_PRESBURGER_UTILS_H
15 
16 #include "mlir/Analysis/Presburger/GeneratingFunction.h"
17 #include "mlir/Analysis/Presburger/IntegerRelation.h"
18 #include "mlir/Analysis/Presburger/Matrix.h"
19 #include "mlir/Analysis/Presburger/QuasiPolynomial.h"
20 
21 #include <gtest/gtest.h>
22 #include <optional>
23 
24 namespace mlir {
25 namespace presburger {
26 using llvm::dynamicAPIntFromInt64;
27 
makeIntMatrix(unsigned numRow,unsigned numColumns,ArrayRef<SmallVector<int,8>> matrix)28 inline IntMatrix makeIntMatrix(unsigned numRow, unsigned numColumns,
29                                ArrayRef<SmallVector<int, 8>> matrix) {
30   IntMatrix results(numRow, numColumns);
31   assert(matrix.size() == numRow);
32   for (unsigned i = 0; i < numRow; ++i) {
33     assert(matrix[i].size() == numColumns &&
34            "Output expression has incorrect dimensionality!");
35     for (unsigned j = 0; j < numColumns; ++j)
36       results(i, j) = DynamicAPInt(matrix[i][j]);
37   }
38   return results;
39 }
40 
makeFracMatrix(unsigned numRow,unsigned numColumns,ArrayRef<SmallVector<Fraction,8>> matrix)41 inline FracMatrix makeFracMatrix(unsigned numRow, unsigned numColumns,
42                                  ArrayRef<SmallVector<Fraction, 8>> matrix) {
43   FracMatrix results(numRow, numColumns);
44   assert(matrix.size() == numRow);
45   for (unsigned i = 0; i < numRow; ++i) {
46     assert(matrix[i].size() == numColumns &&
47            "Output expression has incorrect dimensionality!");
48     for (unsigned j = 0; j < numColumns; ++j)
49       results(i, j) = matrix[i][j];
50   }
51   return results;
52 }
53 
EXPECT_EQ_INT_MATRIX(IntMatrix a,IntMatrix b)54 inline void EXPECT_EQ_INT_MATRIX(IntMatrix a, IntMatrix b) {
55   EXPECT_EQ(a.getNumRows(), b.getNumRows());
56   EXPECT_EQ(a.getNumColumns(), b.getNumColumns());
57 
58   for (unsigned row = 0; row < a.getNumRows(); row++)
59     for (unsigned col = 0; col < a.getNumColumns(); col++)
60       EXPECT_EQ(a(row, col), b(row, col));
61 }
62 
EXPECT_EQ_FRAC_MATRIX(FracMatrix a,FracMatrix b)63 inline void EXPECT_EQ_FRAC_MATRIX(FracMatrix a, FracMatrix b) {
64   EXPECT_EQ(a.getNumRows(), b.getNumRows());
65   EXPECT_EQ(a.getNumColumns(), b.getNumColumns());
66 
67   for (unsigned row = 0; row < a.getNumRows(); row++)
68     for (unsigned col = 0; col < a.getNumColumns(); col++)
69       EXPECT_EQ(a(row, col), b(row, col));
70 }
71 
72 // Check the coefficients (in order) of two generating functions.
73 // Note that this is not a true equality check.
EXPECT_EQ_REPR_GENERATINGFUNCTION(detail::GeneratingFunction a,detail::GeneratingFunction b)74 inline void EXPECT_EQ_REPR_GENERATINGFUNCTION(detail::GeneratingFunction a,
75                                               detail::GeneratingFunction b) {
76   EXPECT_EQ(a.getNumParams(), b.getNumParams());
77 
78   SmallVector<int> aSigns = a.getSigns();
79   SmallVector<int> bSigns = b.getSigns();
80   EXPECT_EQ(aSigns.size(), bSigns.size());
81   for (unsigned i = 0, e = aSigns.size(); i < e; i++)
82     EXPECT_EQ(aSigns[i], bSigns[i]);
83 
84   std::vector<detail::ParamPoint> aNums = a.getNumerators();
85   std::vector<detail::ParamPoint> bNums = b.getNumerators();
86   EXPECT_EQ(aNums.size(), bNums.size());
87   for (unsigned i = 0, e = aNums.size(); i < e; i++)
88     EXPECT_EQ_FRAC_MATRIX(aNums[i], bNums[i]);
89 
90   std::vector<std::vector<detail::Point>> aDens = a.getDenominators();
91   std::vector<std::vector<detail::Point>> bDens = b.getDenominators();
92   EXPECT_EQ(aDens.size(), bDens.size());
93   for (unsigned i = 0, e = aDens.size(); i < e; i++) {
94     EXPECT_EQ(aDens[i].size(), bDens[i].size());
95     for (unsigned j = 0, f = aDens[i].size(); j < f; j++) {
96       EXPECT_EQ(aDens[i][j].size(), bDens[i][j].size());
97       for (unsigned k = 0, g = aDens[i][j].size(); k < g; k++) {
98         EXPECT_EQ(aDens[i][j][k], bDens[i][j][k]);
99       }
100     }
101   }
102 }
103 
104 // Check the coefficients (in order) of two quasipolynomials.
105 // Note that this is not a true equality check.
EXPECT_EQ_REPR_QUASIPOLYNOMIAL(QuasiPolynomial a,QuasiPolynomial b)106 inline void EXPECT_EQ_REPR_QUASIPOLYNOMIAL(QuasiPolynomial a,
107                                            QuasiPolynomial b) {
108   EXPECT_EQ(a.getNumInputs(), b.getNumInputs());
109 
110   SmallVector<Fraction> aCoeffs = a.getCoefficients(),
111                         bCoeffs = b.getCoefficients();
112   EXPECT_EQ(aCoeffs.size(), bCoeffs.size());
113   for (unsigned i = 0, e = aCoeffs.size(); i < e; i++)
114     EXPECT_EQ(aCoeffs[i], bCoeffs[i]);
115 
116   std::vector<std::vector<SmallVector<Fraction>>> aAff = a.getAffine(),
117                                                   bAff = b.getAffine();
118   EXPECT_EQ(aAff.size(), bAff.size());
119   for (unsigned i = 0, e = aAff.size(); i < e; i++) {
120     EXPECT_EQ(aAff[i].size(), bAff[i].size());
121     for (unsigned j = 0, f = aAff[i].size(); j < f; j++)
122       for (unsigned k = 0, g = a.getNumInputs(); k <= g; k++)
123         EXPECT_EQ(aAff[i][j][k], bAff[i][j][k]);
124   }
125 }
126 
127 /// lhs and rhs represent non-negative integers or positive infinity. The
128 /// infinity case corresponds to when the Optional is empty.
infinityOrUInt64LE(std::optional<DynamicAPInt> lhs,std::optional<DynamicAPInt> rhs)129 inline bool infinityOrUInt64LE(std::optional<DynamicAPInt> lhs,
130                                std::optional<DynamicAPInt> rhs) {
131   // No constraint.
132   if (!rhs)
133     return true;
134   // Finite rhs provided so lhs has to be finite too.
135   if (!lhs)
136     return false;
137   return *lhs <= *rhs;
138 }
139 
140 /// Expect that the computed volume is a valid overapproximation of
141 /// the true volume `trueVolume`, while also being at least as good an
142 /// approximation as `resultBound`.
expectComputedVolumeIsValidOverapprox(const std::optional<DynamicAPInt> & computedVolume,const std::optional<DynamicAPInt> & trueVolume,const std::optional<DynamicAPInt> & resultBound)143 inline void expectComputedVolumeIsValidOverapprox(
144     const std::optional<DynamicAPInt> &computedVolume,
145     const std::optional<DynamicAPInt> &trueVolume,
146     const std::optional<DynamicAPInt> &resultBound) {
147   assert(infinityOrUInt64LE(trueVolume, resultBound) &&
148          "can't expect result to be less than the true volume");
149   EXPECT_TRUE(infinityOrUInt64LE(trueVolume, computedVolume));
150   EXPECT_TRUE(infinityOrUInt64LE(computedVolume, resultBound));
151 }
152 
expectComputedVolumeIsValidOverapprox(const std::optional<DynamicAPInt> & computedVolume,std::optional<int64_t> trueVolume,std::optional<int64_t> resultBound)153 inline void expectComputedVolumeIsValidOverapprox(
154     const std::optional<DynamicAPInt> &computedVolume,
155     std::optional<int64_t> trueVolume, std::optional<int64_t> resultBound) {
156   expectComputedVolumeIsValidOverapprox(
157       computedVolume,
158       llvm::transformOptional(trueVolume, dynamicAPIntFromInt64),
159       llvm::transformOptional(resultBound, dynamicAPIntFromInt64));
160 }
161 
162 } // namespace presburger
163 } // namespace mlir
164 
165 #endif // MLIR_UNITTESTS_ANALYSIS_PRESBURGER_UTILS_H
166