[llvm] ConstraintSystem: replace data structure with Matrix (PR #98895)
Ramkumar Ramachandra via llvm-commits
llvm-commits at lists.llvm.org
Tue Jul 16 07:33:05 PDT 2024
https://github.com/artagnon updated https://github.com/llvm/llvm-project/pull/98895
>From ef1851a4daa5a9b48cdff9bac12a116c6518d39b Mon Sep 17 00:00:00 2001
From: Ramkumar Ramachandra <ramkumar.ramachandra at codasip.com>
Date: Wed, 10 Jul 2024 18:23:08 +0100
Subject: [PATCH 1/3] ADT/Matrix: two-dimensional Container with View
Leverage the excellent SmallVector infrastructure to write a
two-dimensional container, along with a View that abstracts out
indexing-arithmetic, eliminating memory operations on the underlying
storage. The immediate applicability of Matrix is to replace uses of the
vector-of-vectors idiom, with one caveat: an upper bound on the number
of columns should be known ahead of time.
---
llvm/include/llvm/ADT/ArrayRef.h | 3 +
llvm/include/llvm/ADT/Matrix.h | 339 ++++++++++++++++++++++++++++++
llvm/unittests/ADT/CMakeLists.txt | 1 +
llvm/unittests/ADT/MatrixTest.cpp | 325 ++++++++++++++++++++++++++++
4 files changed, 668 insertions(+)
create mode 100644 llvm/include/llvm/ADT/Matrix.h
create mode 100644 llvm/unittests/ADT/MatrixTest.cpp
diff --git a/llvm/include/llvm/ADT/ArrayRef.h b/llvm/include/llvm/ADT/ArrayRef.h
index 1c6799f1c56ed..cc7f89ceec462 100644
--- a/llvm/include/llvm/ADT/ArrayRef.h
+++ b/llvm/include/llvm/ADT/ArrayRef.h
@@ -25,6 +25,7 @@
namespace llvm {
template<typename T> class [[nodiscard]] MutableArrayRef;
+ template <typename T> struct [[nodiscard]] MutableRowView;
/// ArrayRef - Represent a constant reference to an array (0 or more elements
/// consecutively in memory), i.e. a start pointer and a length. It allows
@@ -59,6 +60,8 @@ namespace llvm {
/// The number of elements.
size_type Length = 0;
+ friend MutableRowView<T>;
+
public:
/// @name Constructors
/// @{
diff --git a/llvm/include/llvm/ADT/Matrix.h b/llvm/include/llvm/ADT/Matrix.h
new file mode 100644
index 0000000000000..52587352862f9
--- /dev/null
+++ b/llvm/include/llvm/ADT/Matrix.h
@@ -0,0 +1,339 @@
+//===- Matrix.h - Two-dimensional Container with View -----------*- C++ -*-===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#ifndef LLVM_ADT_MATRIX_H
+#define LLVM_ADT_MATRIX_H
+
+#include "llvm/ADT/ArrayRef.h"
+#include "llvm/ADT/SmallVector.h"
+
+namespace llvm {
+template <typename T, size_t M, size_t NStorageInline> class JaggedArrayView;
+
+/// Due to the SmallVector infrastructure using SmallVectorAlignmentAndOffset
+/// that depends on the exact data layout, no derived classes can have extra
+/// members.
+template <typename T, size_t N>
+struct MatrixStorageBase : public SmallVectorImpl<T>, SmallVectorStorage<T, N> {
+ MatrixStorageBase() : SmallVectorImpl<T>(N) {}
+ MatrixStorageBase(size_t Size) : SmallVectorImpl<T>(N) { resize(Size); }
+ ~MatrixStorageBase() { destroy_range(this->begin(), this->end()); }
+ MatrixStorageBase(const MatrixStorageBase &RHS) : SmallVectorImpl<T>(N) {
+ if (!RHS.empty())
+ SmallVectorImpl<T>::operator=(RHS);
+ }
+ MatrixStorageBase(MatrixStorageBase &&RHS) : SmallVectorImpl<T>(N) {
+ if (!RHS.empty())
+ SmallVectorImpl<T>::operator=(::std::move(RHS));
+ }
+ using SmallVectorImpl<T>::size;
+ using SmallVectorImpl<T>::resize;
+ using SmallVectorImpl<T>::append;
+ using SmallVectorImpl<T>::erase;
+ using SmallVectorImpl<T>::destroy_range;
+
+ T *begin() const { return const_cast<T *>(SmallVectorImpl<T>::begin()); }
+ T *end() const { return const_cast<T *>(SmallVectorImpl<T>::end()); }
+};
+
+/// A two-dimensional container storage, whose upper bound on the number of
+/// columns should be known ahead of time. Not menat to be used directly: the
+/// primary usage API is MatrixView.
+template <typename T,
+ size_t N = CalculateSmallVectorDefaultInlinedElements<T>::value>
+class MatrixStorage {
+public:
+ MatrixStorage() = delete;
+ MatrixStorage(size_t NRows, size_t NCols)
+ : Base(NRows * NCols), NCols(NCols) {}
+ MatrixStorage(size_t NCols) : Base(), NCols(NCols) {}
+
+ size_t size() const { return Base.size(); }
+ bool empty() const { return !size(); }
+ size_t getNumRows() const { return size() / NCols; }
+ size_t getNumCols() const { return NCols; }
+ void setNumCols(size_t NCols) {
+ assert(empty() && "Column-resizing a non-empty MatrixStorage");
+ this->NCols = NCols;
+ }
+ void resize(size_t NRows) { Base.resize(NCols * NRows); }
+
+protected:
+ template <typename U, size_t M, size_t NStorageInline>
+ friend class JaggedArrayView;
+
+ T *begin() const { return Base.begin(); }
+ T *rowFromIdx(size_t RowIdx, size_t Offset = 0) const {
+ return begin() + RowIdx * NCols + Offset;
+ }
+ std::pair<size_t, size_t> idxFromRow(T *Ptr) const {
+ assert(Ptr >= begin() && "Internal error");
+ size_t Offset = (Ptr - begin()) % NCols;
+ return {(Ptr - begin()) / NCols, Offset};
+ }
+
+ // If Arg.size() < NCols, the number of columns won't be changed, and the
+ // difference is default-constructed.
+ void addRow(const SmallVectorImpl<T> &Arg) {
+ assert(Arg.size() <= NCols &&
+ "MatrixStorage has insufficient number of columns");
+ size_t Diff = NCols - Arg.size();
+ Base.append(Arg.begin(), Arg.end());
+ Base.append(Diff, T());
+ }
+
+private:
+ MatrixStorageBase<T, N> Base;
+ size_t NCols;
+};
+
+/// MutableArrayRef with a copy-assign, and extra APIs.
+template <typename T>
+struct [[nodiscard]] MutableRowView : public MutableArrayRef<T> {
+ using pointer = typename MutableArrayRef<T>::pointer;
+ using iterator = typename MutableArrayRef<T>::iterator;
+ using const_iterator = typename MutableArrayRef<T>::const_iterator;
+
+ MutableRowView() = delete;
+ MutableRowView(pointer Data, size_t Length)
+ : MutableArrayRef<T>(Data, Length) {}
+ MutableRowView(iterator Begin, iterator End)
+ : MutableArrayRef<T>(Begin, End) {}
+ MutableRowView(const_iterator Begin, const_iterator End)
+ : MutableArrayRef<T>(Begin, End) {}
+ MutableRowView(MutableArrayRef<T> Other)
+ : MutableArrayRef<T>(Other.data(), Other.size()) {}
+ MutableRowView(const SmallVectorImpl<T> &Vec) : MutableArrayRef<T>(Vec) {}
+
+ using MutableArrayRef<T>::size;
+ using MutableArrayRef<T>::data;
+
+ T &back() const { return MutableArrayRef<T>::back(); }
+ T &front() const { return MutableArrayRef<T>::front(); }
+ MutableRowView<T> drop_back(size_t N = 1) const { // NOLINT
+ return MutableArrayRef<T>::drop_back(N);
+ }
+ MutableRowView<T> drop_front(size_t N = 1) const { // NOLINT
+ return MutableArrayRef<T>::drop_front(N);
+ }
+ // This slice is different from the MutableArrayRef slice, and specifies a
+ // Begin and End index, instead of a Begin and Length.
+ MutableRowView<T> slice(size_t Begin, size_t End) {
+ return MutableArrayRef<T>::slice(Begin, End - Begin);
+ }
+ void pop_back(size_t N = 1) { // NOLINT
+ this->Length -= N;
+ }
+ void pop_front(size_t N = 1) { // NOLINT
+ this->Data += N;
+ this->Length -= N;
+ }
+
+ MutableRowView &operator=(const SmallVectorImpl<T> &Vec) {
+ copy_assign(Vec.begin(), Vec.end());
+ return *this;
+ }
+ MutableRowView &operator=(std::initializer_list<T> IL) {
+ copy_assign(IL.begin(), IL.end());
+ return *this;
+ }
+
+ void swap(MutableRowView<T> &Other) {
+ std::swap(this->Data, Other.Data);
+ std::swap(this->Length, Other.Length);
+ }
+
+protected:
+ void copy_assign(iterator Begin, iterator End) { // NOLINT
+ std::uninitialized_copy(Begin, End, data());
+ this->Length = End - Begin;
+ }
+ void copy_assign(const_iterator Begin, const_iterator End) { // NOLINT
+ std::uninitialized_copy(Begin, End, data());
+ this->Length = End - Begin;
+ }
+};
+
+/// The primary usage API of MatrixStorage. Abstracts out indexing-arithmetic,
+/// eliminating memory operations on the underlying data. Supports
+/// variable-length columns.
+template <typename T,
+ size_t N = CalculateSmallVectorDefaultInlinedElements<T>::value,
+ size_t NStorageInline =
+ CalculateSmallVectorDefaultInlinedElements<T>::value>
+class [[nodiscard]] JaggedArrayView {
+public:
+ using row_type = MutableRowView<T>;
+ using container_type = SmallVector<row_type, N>;
+ using iterator = typename container_type::iterator;
+ using const_iterator = typename container_type::const_iterator;
+
+ constexpr JaggedArrayView(MatrixStorage<T, NStorageInline> &Mat,
+ size_t RowSpan, size_t ColSpan)
+ : Mat(Mat) {
+ RowView.reserve(RowSpan);
+ for (size_t RowIdx = 0; RowIdx < RowSpan; ++RowIdx) {
+ auto RangeBegin = Mat.begin() + RowIdx * ColSpan;
+ RowView.emplace_back(RangeBegin, RangeBegin + ColSpan);
+ }
+ }
+
+ // Constructor with a full View of the underlying MatrixStorage, if
+ // MatrixStorage has a non-zero number of Columns. Otherwise, creates an empty
+ // view.
+ constexpr JaggedArrayView(MatrixStorage<T, NStorageInline> &Mat)
+ : JaggedArrayView(Mat, Mat.getNumRows(), Mat.getNumCols()) {}
+
+ // Obvious copy-construator is deleted, since the underlying storage could
+ // have changed.
+ constexpr JaggedArrayView(const JaggedArrayView &) = delete;
+
+ // Copy-assignment operator should not be used when the underlying storage
+ // changes.
+ constexpr JaggedArrayView &operator=(const JaggedArrayView &Other) {
+ assert(Mat.begin() == Other.Mat.begin() &&
+ "Underlying storage has changed: use custom copy-constructor");
+ RowView = Other.RowView;
+ return *this;
+ }
+
+ // The actual copy-constructor: to be used when the underlying storage is
+ // copy-constructed.
+ JaggedArrayView(const JaggedArrayView &OldView,
+ MatrixStorage<T, NStorageInline> &NewMat)
+ : Mat(NewMat) {
+ assert(OldView.Mat.size() == Mat.size() &&
+ "Custom copy-constructor called on non-copied storage");
+
+ // The underlying storage will change. Construct a new RowView by performing
+ // pointer-arithmetic on the underlying storage of OldView, using pointers
+ // from OldVie.
+ for (const auto &R : OldView.RowView) {
+ auto [StorageIdx, StartOffset] = OldView.Mat.idxFromRow(R.data());
+ RowView.emplace_back(Mat.rowFromIdx(StorageIdx, StartOffset), R.size());
+ }
+ }
+
+ void addRow(const SmallVectorImpl<T> &Row) {
+ // The underlying storage may be resized, performing reallocations. The
+ // pointers in RowView will no longer be valid, so save and restore the
+ // data. Construct RestoreData by performing pointer-arithmetic on the
+ // underlying storgge.
+ SmallVector<std::tuple<size_t, size_t, size_t>> RestoreData;
+ RestoreData.reserve(RowView.size());
+ for (const auto &R : RowView) {
+ auto [StorageIdx, StartOffset] = Mat.idxFromRow(R.data());
+ RestoreData.emplace_back(StorageIdx, StartOffset, R.size());
+ }
+
+ Mat.addRow(Row);
+
+ // Restore the RowView by performing pointer-arithmetic on the
+ // possibly-reallocated storage, using information from RestoreData.
+ RowView.clear();
+ for (const auto &[StorageIdx, StartOffset, Len] : RestoreData)
+ RowView.emplace_back(Mat.rowFromIdx(StorageIdx, StartOffset), Len);
+
+ // Finally, add the new row to the VRowView.
+ RowView.emplace_back(Mat.rowFromIdx(Mat.getNumRows() - 1), Row.size());
+ }
+
+ // To support addRow(View[Idx]).
+ void addRow(const row_type &Row) { addRow(SmallVector<T>{Row}); }
+
+ void addRow(std::initializer_list<T> Row) { addRow(SmallVector<T>{Row}); }
+
+ constexpr row_type &operator[](size_t RowIdx) {
+ assert(RowIdx < RowView.size() && "Indexing out of bounds");
+ return RowView[RowIdx];
+ }
+
+ constexpr T *data() const {
+ assert(!empty() && "Non-empty view expected");
+ return RowView.front().data();
+ }
+ size_t size() const { return getRowSpan() * getMaxColSpan(); }
+ bool empty() const { return RowView.empty(); }
+ size_t getRowSpan() const { return RowView.size(); }
+ size_t getColSpan(size_t RowIdx) const {
+ assert(RowIdx < RowView.size() && "Indexing out of bounds");
+ return RowView[RowIdx].size();
+ }
+ constexpr size_t getMaxColSpan() const {
+ return std::max_element(RowView.begin(), RowView.end(),
+ [](const row_type &RowA, const row_type &RowB) {
+ return RowA.size() < RowB.size();
+ })
+ ->size();
+ }
+
+ iterator begin() { return RowView.begin(); }
+ iterator end() { return RowView.end(); }
+ const_iterator begin() const { return RowView.begin(); }
+ const_iterator end() const { return RowView.end(); }
+
+ constexpr JaggedArrayView<T, N, NStorageInline> rowSlice(size_t Begin,
+ size_t End) {
+ assert(Begin < getRowSpan() && End <= getRowSpan() &&
+ "Indexing out of bounds");
+ assert(Begin < End && "Invalid slice");
+ container_type NewRowView;
+ for (size_t RowIdx = Begin; RowIdx < End; ++RowIdx)
+ NewRowView.emplace_back(RowView[RowIdx]);
+ return {Mat, std::move(NewRowView)};
+ }
+
+ constexpr JaggedArrayView<T, N, NStorageInline> colSlice(size_t Begin,
+ size_t End) {
+ assert(Begin < End && "Invalid slice");
+ size_t MinColSpan =
+ std::min_element(RowView.begin(), RowView.end(),
+ [](const row_type &RowA, const row_type &RowB) {
+ return RowA.size() < RowB.size();
+ })
+ ->size();
+ assert(Begin < MinColSpan && End <= MinColSpan && "Indexing out of bounds");
+ container_type NewRowView;
+ for (row_type Row : RowView)
+ NewRowView.emplace_back(Row.slice(Begin, End));
+ return {Mat, std::move(NewRowView)};
+ }
+
+ row_type &lastRow() {
+ assert(!empty() && "Non-empty view expected");
+ return RowView.back();
+ }
+ const row_type &lastRow() const {
+ assert(!empty() && "Non-empty view expected");
+ return RowView.back();
+ }
+ void dropLastRow() {
+ assert(!empty() && "Non-empty view expected");
+ RowView.pop_back();
+ }
+
+protected:
+ // Helper constructor.
+ constexpr JaggedArrayView(MatrixStorage<T, NStorageInline> &Mat,
+ SmallVectorImpl<row_type> &&RowView)
+ : Mat(Mat), RowView(std::move(RowView)) {}
+
+private:
+ MatrixStorage<T, NStorageInline> &Mat;
+ container_type RowView;
+};
+} // namespace llvm
+
+namespace std {
+template <typename T>
+inline void swap(llvm::MutableRowView<T> &LHS, llvm::MutableRowView<T> &RHS) {
+ LHS.swap(RHS);
+}
+} // end namespace std
+
+#endif
diff --git a/llvm/unittests/ADT/CMakeLists.txt b/llvm/unittests/ADT/CMakeLists.txt
index f48d840a10595..cd04778e86e2d 100644
--- a/llvm/unittests/ADT/CMakeLists.txt
+++ b/llvm/unittests/ADT/CMakeLists.txt
@@ -54,6 +54,7 @@ add_llvm_unittest(ADTTests
LazyAtomicPointerTest.cpp
MappedIteratorTest.cpp
MapVectorTest.cpp
+ MatrixTest.cpp
PackedVectorTest.cpp
PagedVectorTest.cpp
PointerEmbeddedIntTest.cpp
diff --git a/llvm/unittests/ADT/MatrixTest.cpp b/llvm/unittests/ADT/MatrixTest.cpp
new file mode 100644
index 0000000000000..2f6843c0615a1
--- /dev/null
+++ b/llvm/unittests/ADT/MatrixTest.cpp
@@ -0,0 +1,325 @@
+#include "llvm/ADT/Matrix.h"
+#include "llvm/ADT/DynamicAPInt.h"
+#include "gtest/gtest.h"
+
+using namespace llvm;
+
+template <typename T> static SmallVector<T> getDummyValues(size_t NValues) {
+ SmallVector<T> Ret(NValues);
+ for (size_t Idx = 0; Idx < NValues; ++Idx)
+ Ret[Idx] = T(Idx + 1);
+ return Ret;
+}
+
+template <typename T> class MatrixTest : public testing::Test {
+protected:
+ MatrixTest()
+ : ColumnInitMatrix(8), SmallMatrix(2, 2), OtherSmall(3, 3),
+ LargeMatrix(16, 16) {}
+ MatrixStorage<T, 16> ColumnInitMatrix;
+ MatrixStorage<T> SmallMatrix;
+ MatrixStorage<T> OtherSmall;
+ MatrixStorage<T> LargeMatrix;
+ SmallVector<T> getDummyRow(size_t NValues) {
+ return getDummyValues<T>(NValues);
+ }
+};
+
+using MatrixTestTypes = ::testing::Types<int64_t, DynamicAPInt>;
+TYPED_TEST_SUITE(MatrixTest, MatrixTestTypes, );
+
+TYPED_TEST(MatrixTest, Construction) {
+ auto &E = this->ColumnInitMatrix;
+ ASSERT_TRUE(E.empty());
+ EXPECT_EQ(E.getNumCols(), 8u);
+ E.setNumCols(3);
+ EXPECT_EQ(E.getNumCols(), 3u);
+ EXPECT_TRUE(E.empty());
+ EXPECT_EQ(E.getNumRows(), 0u);
+ auto &M = this->SmallMatrix;
+ EXPECT_FALSE(M.empty());
+ EXPECT_EQ(M.size(), 4u);
+ EXPECT_EQ(M.getNumRows(), 2u);
+ EXPECT_EQ(M.getNumCols(), 2u);
+}
+
+TYPED_TEST(MatrixTest, CopyConstruction) {
+ auto &OldMat = this->SmallMatrix;
+ auto V = JaggedArrayView<TypeParam>{OldMat};
+ V[0] = this->getDummyRow(2);
+ V[0].pop_back();
+ V[1] = this->getDummyRow(2);
+ V[1].pop_front();
+ ASSERT_EQ(V.getRowSpan(), 2u);
+ ASSERT_EQ(V.getColSpan(0), 1u);
+ ASSERT_EQ(V.getColSpan(1), 1u);
+ EXPECT_EQ(V[0][0], 1);
+ EXPECT_EQ(V[1][0], 2);
+ EXPECT_EQ(JaggedArrayView<TypeParam>{OldMat}[0][0], 1);
+ EXPECT_EQ(JaggedArrayView<TypeParam>{OldMat}[0][1], 2);
+ EXPECT_EQ(JaggedArrayView<TypeParam>{OldMat}[1][0], 1);
+ EXPECT_EQ(JaggedArrayView<TypeParam>{OldMat}[1][1], 2);
+ MatrixStorage<TypeParam> NewMat{OldMat};
+ JaggedArrayView<TypeParam> C{V, NewMat};
+ ASSERT_EQ(C.getRowSpan(), 2u);
+ ASSERT_EQ(C.getColSpan(0), 1u);
+ ASSERT_EQ(C.getColSpan(1), 1u);
+ EXPECT_EQ(C[0][0], 1);
+ EXPECT_EQ(C[1][0], 2);
+ C.addRow(this->getDummyRow(2));
+ EXPECT_EQ(C[2][0], 1);
+ EXPECT_EQ(C[2][1], 2);
+}
+
+TYPED_TEST(MatrixTest, RowOps) {
+ auto &M = this->SmallMatrix;
+ auto &O = this->OtherSmall;
+ JaggedArrayView<TypeParam> V{M};
+ ASSERT_EQ(M.getNumRows(), 2u);
+ ASSERT_EQ(V.getRowSpan(), 2u);
+ V[0] = this->getDummyRow(2);
+ V = JaggedArrayView<TypeParam>{M};
+ EXPECT_EQ(V[0][0], 1);
+ EXPECT_EQ(V[0][1], 2);
+ ASSERT_EQ(M.getNumRows(), 2u);
+ V.addRow({TypeParam(4), TypeParam(5)});
+ ASSERT_EQ(M.getNumRows(), 3u);
+ EXPECT_EQ(V[2][0], 4);
+ EXPECT_EQ(V[2][1], 5);
+ ASSERT_EQ(O.getNumRows(), 3u);
+ JaggedArrayView<TypeParam> W{O};
+ W.addRow(V[0]);
+ ASSERT_EQ(O.getNumCols(), 3u);
+ ASSERT_EQ(O.getNumRows(), 4u);
+ W[3] = {TypeParam(7), TypeParam(8)};
+ auto &WRow3 = W[3];
+ WRow3 = WRow3.drop_back();
+ ASSERT_EQ(WRow3[0], 7);
+ WRow3 = WRow3.drop_back();
+ EXPECT_TRUE(WRow3.empty());
+ ASSERT_EQ(W.getColSpan(3), 0u);
+ EXPECT_EQ(W[0][2], 0);
+ EXPECT_EQ(W[1][2], 0);
+ EXPECT_EQ(W[2][2], 0);
+ W = JaggedArrayView<TypeParam>{O};
+ EXPECT_EQ(W[0][2], 0);
+ EXPECT_EQ(W[1][2], 0);
+ EXPECT_EQ(W[2][2], 0);
+ EXPECT_EQ(W[3][2], 0);
+}
+
+TYPED_TEST(MatrixTest, ResizeAssign) {
+ auto &M = this->SmallMatrix;
+ M.resize(3);
+ ASSERT_EQ(M.getNumRows(), 3u);
+ JaggedArrayView<TypeParam> V{M};
+ V[0] = this->getDummyRow(2);
+ V[1] = this->getDummyRow(2);
+ V[2] = this->getDummyRow(2);
+ ASSERT_EQ(M.getNumRows(), 3u);
+ EXPECT_EQ(V[0][0], V[1][0]);
+ EXPECT_EQ(V[2][1], V[1][1]);
+}
+
+TYPED_TEST(MatrixTest, ColSlice) {
+ auto &M = this->OtherSmall;
+ JaggedArrayView<TypeParam> V{M};
+ V[0] = {TypeParam(3), TypeParam(7)};
+ V[1] = {TypeParam(4), TypeParam(5)};
+ V[2] = {TypeParam(8), TypeParam(9)};
+ auto W = V.colSlice(1, 2);
+ ASSERT_EQ(W.getRowSpan(), 3u);
+ ASSERT_EQ(W.getColSpan(0), 1u);
+ EXPECT_EQ(V[0][0], 3);
+ EXPECT_EQ(V[0][1], 7);
+ EXPECT_EQ(V[1][0], 4);
+ EXPECT_EQ(V[1][1], 5);
+ EXPECT_EQ(V[2][0], 8);
+ EXPECT_EQ(V[2][1], 9);
+ EXPECT_EQ(W[0][0], 7);
+ EXPECT_EQ(W[1][0], 5);
+ EXPECT_EQ(W[2][0], 9);
+}
+
+TYPED_TEST(MatrixTest, RowColSlice) {
+ auto &M = this->OtherSmall;
+ JaggedArrayView<TypeParam> V{M};
+ V[0] = {TypeParam(3), TypeParam(7)};
+ V[2] = {TypeParam(4), TypeParam(5)};
+ auto W = V.rowSlice(0, 2).colSlice(0, 2);
+ ASSERT_EQ(W.getRowSpan(), 2u);
+ ASSERT_EQ(W.getColSpan(0), 2u);
+ EXPECT_EQ(V[0][0], 3);
+ EXPECT_EQ(V[0][1], 7);
+ EXPECT_EQ(V[1][0], 0);
+ EXPECT_EQ(V[1][1], 0);
+ EXPECT_EQ(V[2][0], 4);
+ EXPECT_EQ(V[2][1], 5);
+ EXPECT_EQ(W[0][0], 3);
+ EXPECT_EQ(W[0][1], 7);
+ EXPECT_EQ(W[1][0], 0);
+ EXPECT_EQ(W[1][1], 0);
+}
+
+TYPED_TEST(MatrixTest, LastRowOps) {
+ auto &M = this->SmallMatrix;
+ JaggedArrayView<TypeParam> V{M};
+ V[0] = {TypeParam(3), TypeParam(7)};
+ V[1] = {TypeParam(4), TypeParam(5)};
+ V.dropLastRow();
+ ASSERT_EQ(M.size(), 4u);
+ ASSERT_EQ(V.size(), 2u);
+ auto W = V.lastRow();
+ ASSERT_EQ(W.size(), 2u);
+ EXPECT_EQ(W[0], 3);
+ EXPECT_EQ(W[1], 7);
+ V.lastRow() = {TypeParam(1), TypeParam(2)};
+ EXPECT_EQ(V.lastRow()[0], 1);
+ EXPECT_EQ(V.lastRow()[1], 2);
+ V.dropLastRow();
+ EXPECT_TRUE(V.empty());
+}
+
+TYPED_TEST(MatrixTest, Swap) {
+ auto &M = this->SmallMatrix;
+ JaggedArrayView<TypeParam> V{M};
+ V[0] = {TypeParam(3), TypeParam(7)};
+ V[1] = {TypeParam(4), TypeParam(5)};
+ std::swap(V[0], V[1]);
+ EXPECT_EQ(V.lastRow()[0], 3);
+ EXPECT_EQ(V.lastRow()[1], 7);
+ EXPECT_EQ(V[0][0], 4);
+ EXPECT_EQ(V[0][1], 5);
+ EXPECT_EQ(V[1][0], 3);
+ EXPECT_EQ(V[1][1], 7);
+ auto W = JaggedArrayView<TypeParam>{M};
+ EXPECT_EQ(W[0][0], 3);
+ EXPECT_EQ(W[0][1], 7);
+ EXPECT_EQ(W[1][0], 4);
+ EXPECT_EQ(W[1][1], 5);
+}
+
+TYPED_TEST(MatrixTest, DropLastRow) {
+ auto &M = this->OtherSmall;
+ auto V = JaggedArrayView<TypeParam>{M};
+ ASSERT_EQ(V.getRowSpan(), 3u);
+ V.dropLastRow();
+ ASSERT_EQ(V.getRowSpan(), 2u);
+ V[0] = {TypeParam(19), TypeParam(7), TypeParam(3)};
+ V[1] = {TypeParam(19), TypeParam(7), TypeParam(3)};
+ ASSERT_EQ(V.getColSpan(1), 3u);
+ V.addRow(V.lastRow());
+ ASSERT_EQ(V.getRowSpan(), 3u);
+ ASSERT_EQ(V.getColSpan(2), 3u);
+ EXPECT_EQ(V[1], V.lastRow());
+ V.dropLastRow();
+ ASSERT_EQ(V.getRowSpan(), 2u);
+ EXPECT_EQ(V[0], V.lastRow());
+ V.addRow(this->getDummyRow(3));
+ V.dropLastRow();
+ V.addRow(this->getDummyRow(3));
+ V.dropLastRow();
+ ASSERT_EQ(V.getRowSpan(), 2u);
+ EXPECT_EQ(V[0], V.lastRow());
+ V.dropLastRow();
+ V.dropLastRow();
+ ASSERT_TRUE(V.empty());
+ V.addRow({TypeParam(9), TypeParam(7), TypeParam(3)});
+ V.addRow(this->getDummyRow(3));
+ ASSERT_EQ(V.getRowSpan(), 2u);
+ EXPECT_EQ(V.lastRow()[0], 1);
+ EXPECT_EQ(V.lastRow()[1], 2);
+ EXPECT_EQ(V.lastRow()[2], 3);
+ EXPECT_EQ(V[0][0], 9);
+ EXPECT_EQ(V[0][1], 7);
+ EXPECT_EQ(V[0][2], 3);
+ V.dropLastRow();
+ V.addRow({TypeParam(21), TypeParam(22), TypeParam(23)});
+ ASSERT_EQ(V.getRowSpan(), 2u);
+ EXPECT_EQ(V.lastRow()[0], 21);
+ EXPECT_EQ(V.lastRow()[1], 22);
+ EXPECT_EQ(V.lastRow()[2], 23);
+}
+
+TYPED_TEST(MatrixTest, Iteration) {
+ auto &M = this->SmallMatrix;
+ M.resize(2);
+ JaggedArrayView<TypeParam> V{M};
+ for (const auto &[RowIdx, Row] : enumerate(V)) {
+ V[RowIdx] = this->getDummyRow(2);
+ for (const auto &[ColIdx, Col] : enumerate(Row)) {
+ EXPECT_GT(V[RowIdx][ColIdx], 0);
+ }
+ }
+}
+
+TYPED_TEST(MatrixTest, VariableLengthColumns) {
+ auto &M = this->ColumnInitMatrix;
+ JaggedArrayView<TypeParam, 8, 16> V{M};
+ ASSERT_EQ(V.empty(), true);
+ size_t NumCols = 6;
+ size_t NumRows = 3;
+ SmallVector<TypeParam> ColumnVec;
+ for (size_t Var = 0; Var < NumCols; ++Var)
+ ColumnVec.emplace_back(Var + 1);
+ ASSERT_EQ(ColumnVec.size(), NumCols);
+ for (size_t RowIdx = 0; RowIdx < NumRows; ++RowIdx)
+ V.addRow(ColumnVec);
+ ASSERT_EQ(V.getMaxColSpan(), NumCols);
+ V.addRow({TypeParam(19)});
+ ASSERT_EQ(V.getColSpan(NumRows), 1u);
+ V.dropLastRow();
+ V.addRow(V.lastRow());
+ ASSERT_EQ(V.getColSpan(NumRows), NumCols);
+ EXPECT_EQ(V[NumRows - 1], V[NumRows]);
+ V.dropLastRow();
+ ASSERT_EQ(V.getRowSpan(), NumRows);
+ ASSERT_EQ(M.getNumCols(), 8u);
+ ASSERT_EQ(M.getNumRows(), NumRows + 2);
+ V.dropLastRow();
+ ASSERT_EQ(V.getRowSpan(), NumRows - 1);
+ ASSERT_EQ(M.getNumRows(), NumRows + 2);
+ ASSERT_EQ(V.getColSpan(1), NumCols);
+ V[1][0] = 19;
+ std::swap(V[0], V[1]);
+ V[0].pop_back();
+ V[1] = V[1].drop_back().drop_back();
+ ASSERT_EQ(V.getColSpan(0), NumCols - 1);
+ ASSERT_EQ(V.getColSpan(1), NumCols - 2);
+ EXPECT_EQ(V[0][0], 19);
+ EXPECT_EQ(V[1][0], 1);
+ ASSERT_EQ(V.getMaxColSpan(), NumCols - 1);
+ V = V.colSlice(0, 1).rowSlice(0, 2);
+ ASSERT_EQ(V.getColSpan(0), 1u);
+ ASSERT_EQ(V.getColSpan(1), 1u);
+ EXPECT_EQ(V.getMaxColSpan(), 1u);
+ ASSERT_EQ(V.getRowSpan(), 2u);
+ EXPECT_EQ(V[0][0], 19);
+ EXPECT_EQ(V[1][0], 1);
+ V.dropLastRow();
+ V.dropLastRow();
+ EXPECT_TRUE(V.empty());
+ EXPECT_EQ(M.size(), 40u);
+}
+
+TYPED_TEST(MatrixTest, LargeMatrixOps) {
+ auto &M = this->LargeMatrix;
+ ASSERT_EQ(M.getNumRows(), 16u);
+ ASSERT_EQ(M.getNumCols(), 16u);
+ JaggedArrayView<TypeParam, 16> V{M};
+ V[0] = {TypeParam(1), TypeParam(2), TypeParam(1), TypeParam(4),
+ TypeParam(5), TypeParam(1), TypeParam(1), TypeParam(8),
+ TypeParam(9), TypeParam(1), TypeParam(1), TypeParam(12),
+ TypeParam(13), TypeParam(1), TypeParam(15), TypeParam(1)};
+ V[1] = this->getDummyRow(16);
+ EXPECT_EQ(V[0][14], 15);
+ EXPECT_EQ(V[0][3], 4);
+ EXPECT_EQ(std::count(V[0].begin(), V[0].end(), 1), 8);
+ EXPECT_TRUE(
+ std::all_of(V[0].begin(), V[0].end(), [](auto &El) { return El > 0; }));
+ auto W = V.rowSlice(0, 1).colSlice(2, 4);
+ ASSERT_EQ(W.getRowSpan(), 1u);
+ ASSERT_EQ(W.getColSpan(0), 2u);
+ EXPECT_EQ(W[0][0], 1);
+ EXPECT_EQ(W[0][1], 4);
+}
>From f78bc6008c7dea8acce3a4171dd3ece15103419f Mon Sep 17 00:00:00 2001
From: Ramkumar Ramachandra <ramkumar.ramachandra at codasip.com>
Date: Mon, 15 Jul 2024 12:34:01 +0100
Subject: [PATCH 2/3] ConstraintSystem: replace data structure with Matrix
ConstraintSystem currently stores constraints in a vector-of-vectors,
performing inefficient memory operations on it, as part of its
operation. Replace this data structure with the newly-minted Matrix,
using MatrixView to eliminate row-swaps and truncation of the underlying
storage.
Since Matrix requires knowing an upper bounds on the number of columns
ahead-of-time, add a cl::opt to ConstraintElimination upper-bounding
this, and change addVariableRowFill to not add constraints whose length
exceeds this upper bound.
---
llvm/include/llvm/Analysis/ConstraintSystem.h | 66 +++++++++++++------
llvm/lib/Analysis/ConstraintSystem.cpp | 42 ++++++------
.../Scalar/ConstraintElimination.cpp | 10 ++-
3 files changed, 76 insertions(+), 42 deletions(-)
diff --git a/llvm/include/llvm/Analysis/ConstraintSystem.h b/llvm/include/llvm/Analysis/ConstraintSystem.h
index 7b02b618f7cb4..6014b2cb64247 100644
--- a/llvm/include/llvm/Analysis/ConstraintSystem.h
+++ b/llvm/include/llvm/Analysis/ConstraintSystem.h
@@ -9,22 +9,19 @@
#ifndef LLVM_ANALYSIS_CONSTRAINTSYSTEM_H
#define LLVM_ANALYSIS_CONSTRAINTSYSTEM_H
-#include "llvm/ADT/APInt.h"
-#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/DenseMap.h"
-#include "llvm/ADT/SmallVector.h"
+#include "llvm/ADT/Matrix.h"
#include "llvm/Support/MathExtras.h"
-#include <string>
-
namespace llvm {
class Value;
class ConstraintSystem {
struct Entry {
- int64_t Coefficient;
- uint16_t Id;
+ int64_t Coefficient = 0;
+ uint16_t Id = 0;
+ Entry() = default;
Entry(int64_t Coefficient, uint16_t Id)
: Coefficient(Coefficient), Id(Id) {}
};
@@ -48,7 +45,10 @@ class ConstraintSystem {
/// Current linear constraints in the system.
/// An entry of the form c0, c1, ... cn represents the following constraint:
/// c0 >= v0 * c1 + .... + v{n-1} * cn
- SmallVector<SmallVector<Entry, 8>, 4> Constraints;
+ MatrixStorage<Entry, 64> Constraints;
+
+ /// Constraints is only ever manipulated via this View.
+ JaggedArrayView<Entry, 16, 64> View;
/// A map of variables (IR values) to their corresponding index in the
/// constraint system.
@@ -64,18 +64,40 @@ class ConstraintSystem {
SmallVector<std::string> getVarNamesList() const;
public:
- ConstraintSystem() {}
- ConstraintSystem(ArrayRef<Value *> FunctionArgs) {
+ // The Matrix Constraints should always be initialized with an upper-bound
+ // number of columns. The default constructor hard-codes an upper-bound of 6,
+ // as it is only used in unit tests, and not in the actual
+ // ConstraintElimination Analysis.
+ ConstraintSystem() : Constraints(6), View(Constraints) {}
+
+ // This constructor is used by ConstraintElimination, inside ConstraintInfo.
+ // Unfortunately, due to calls to addFact, that adds local variables, it is
+ // impossible to know how many local variables there are in advance.
+ // ConstraintElimination has a fixed upper-bound on the number of columns,
+ // configurable as a cl::opt, so use that number, and don't add the constraint
+ // if it exceeds that number.
+ ConstraintSystem(ArrayRef<Value *> FunctionArgs, size_t NCols)
+ : Constraints(NCols), View(Constraints) {
NumVariables += FunctionArgs.size();
for (auto *Arg : FunctionArgs) {
Value2Index.insert({Arg, Value2Index.size() + 1});
}
}
- ConstraintSystem(const DenseMap<Value *, unsigned> &Value2Index)
- : NumVariables(Value2Index.size()), Value2Index(Value2Index) {}
+
+ // This constructor is only used by the dump function in
+ // ConstraintElimination.
+ ConstraintSystem(const DenseMap<Value *, unsigned> &Value2Index,
+ unsigned NVars)
+ : NumVariables(Value2Index.size()),
+ Constraints(std::max(Value2Index.size(), NVars)), View(Constraints),
+ Value2Index(Value2Index) {}
+
+ ConstraintSystem(const ConstraintSystem &Other)
+ : NumVariables(Other.NumVariables), Constraints(Other.Constraints),
+ View(Other.View, Constraints), Value2Index(Other.Value2Index) {}
bool addVariableRow(ArrayRef<int64_t> R) {
- assert(Constraints.empty() || R.size() == NumVariables);
+ assert(View.empty() || R.size() == NumVariables);
// If all variable coefficients are 0, the constraint does not provide any
// usable information.
if (all_of(ArrayRef(R).drop_front(1), [](int64_t C) { return C == 0; }))
@@ -87,9 +109,10 @@ class ConstraintSystem {
continue;
NewRow.emplace_back(C, Idx);
}
- if (Constraints.empty())
+ if (View.empty())
NumVariables = R.size();
- Constraints.push_back(std::move(NewRow));
+
+ View.addRow(std::move(NewRow));
return true;
}
@@ -104,6 +127,11 @@ class ConstraintSystem {
if (all_of(ArrayRef(R).drop_front(1), [](int64_t C) { return C == 0; }))
return false;
+ // There is no correctness issue if we don't add a constraint, for whatever
+ // reason.
+ if (R.size() > Constraints.getNumCols())
+ return false;
+
NumVariables = std::max(R.size(), NumVariables);
return addVariableRow(R);
}
@@ -145,21 +173,21 @@ class ConstraintSystem {
bool isConditionImplied(SmallVector<int64_t, 8> R) const;
SmallVector<int64_t> getLastConstraint() const {
- assert(!Constraints.empty() && "Constraint system is empty");
+ assert(!View.empty() && "Constraint system is empty");
SmallVector<int64_t> Result(NumVariables, 0);
- for (auto &Entry : Constraints.back())
+ for (auto &Entry : View.lastRow())
Result[Entry.Id] = Entry.Coefficient;
return Result;
}
- void popLastConstraint() { Constraints.pop_back(); }
+ void popLastConstraint() { View.dropLastRow(); }
void popLastNVariables(unsigned N) {
assert(NumVariables > N);
NumVariables -= N;
}
/// Returns the number of rows in the constraint system.
- unsigned size() const { return Constraints.size(); }
+ unsigned size() const { return View.getRowSpan(); }
/// Print the constraints in the system.
void dump() const;
diff --git a/llvm/lib/Analysis/ConstraintSystem.cpp b/llvm/lib/Analysis/ConstraintSystem.cpp
index e4c9dcc7544e9..0b08a8ffeca2e 100644
--- a/llvm/lib/Analysis/ConstraintSystem.cpp
+++ b/llvm/lib/Analysis/ConstraintSystem.cpp
@@ -7,11 +7,12 @@
//===----------------------------------------------------------------------===//
#include "llvm/Analysis/ConstraintSystem.h"
+#include "llvm/ADT/Matrix.h"
#include "llvm/ADT/SmallVector.h"
-#include "llvm/Support/MathExtras.h"
#include "llvm/ADT/StringExtras.h"
#include "llvm/IR/Value.h"
#include "llvm/Support/Debug.h"
+#include "llvm/Support/MathExtras.h"
#include <string>
@@ -26,37 +27,38 @@ bool ConstraintSystem::eliminateUsingFM() {
// analysis."
// Supercomputing'91: Proceedings of the 1991 ACM/
// IEEE conference on Supercomputing. IEEE, 1991.
- assert(!Constraints.empty() &&
+ assert(!View.empty() &&
"should only be called for non-empty constraint systems");
unsigned LastIdx = NumVariables - 1;
// First, either remove the variable in place if it is 0 or add the row to
// RemainingRows and remove it from the system.
- SmallVector<SmallVector<Entry, 8>, 4> RemainingRows;
- for (unsigned R1 = 0; R1 < Constraints.size();) {
- SmallVector<Entry, 8> &Row1 = Constraints[R1];
+ MatrixStorage<Entry, 32> RemainingRows(View.getMaxColSpan());
+ JaggedArrayView<Entry, 8, 32> RemainingRowsView{RemainingRows};
+ for (unsigned R1 = 0; R1 < View.getRowSpan();) {
+ auto &Row1 = View[R1];
if (getLastCoefficient(Row1, LastIdx) == 0) {
if (Row1.size() > 0 && Row1.back().Id == LastIdx)
Row1.pop_back();
R1++;
} else {
- std::swap(Constraints[R1], Constraints.back());
- RemainingRows.push_back(std::move(Constraints.back()));
- Constraints.pop_back();
+ std::swap(View[R1], View.lastRow());
+ RemainingRowsView.addRow(View.lastRow());
+ View.dropLastRow();
}
}
// Process rows where the variable is != 0.
- unsigned NumRemainingConstraints = RemainingRows.size();
+ unsigned NumRemainingConstraints = RemainingRowsView.getRowSpan();
for (unsigned R1 = 0; R1 < NumRemainingConstraints; R1++) {
// FIXME do not use copy
for (unsigned R2 = R1 + 1; R2 < NumRemainingConstraints; R2++) {
if (R1 == R2)
continue;
- int64_t UpperLast = getLastCoefficient(RemainingRows[R2], LastIdx);
- int64_t LowerLast = getLastCoefficient(RemainingRows[R1], LastIdx);
+ int64_t UpperLast = getLastCoefficient(RemainingRowsView[R2], LastIdx);
+ int64_t LowerLast = getLastCoefficient(RemainingRowsView[R1], LastIdx);
assert(
UpperLast != 0 && LowerLast != 0 &&
"RemainingRows should only contain rows where the variable is != 0");
@@ -74,8 +76,8 @@ bool ConstraintSystem::eliminateUsingFM() {
SmallVector<Entry, 8> NR;
unsigned IdxUpper = 0;
unsigned IdxLower = 0;
- auto &LowerRow = RemainingRows[LowerR];
- auto &UpperRow = RemainingRows[UpperR];
+ auto &LowerRow = RemainingRowsView[LowerR];
+ auto &UpperRow = RemainingRowsView[UpperR];
while (true) {
if (IdxUpper >= UpperRow.size() || IdxLower >= LowerRow.size())
break;
@@ -112,9 +114,9 @@ bool ConstraintSystem::eliminateUsingFM() {
}
if (NR.empty())
continue;
- Constraints.push_back(std::move(NR));
+ View.addRow(std::move(NR));
// Give up if the new system gets too big.
- if (Constraints.size() > 500)
+ if (size() > 500)
return false;
}
}
@@ -124,15 +126,15 @@ bool ConstraintSystem::eliminateUsingFM() {
}
bool ConstraintSystem::mayHaveSolutionImpl() {
- while (!Constraints.empty() && NumVariables > 1) {
+ while (!View.empty() && NumVariables > 1) {
if (!eliminateUsingFM())
return true;
}
- if (Constraints.empty() || NumVariables > 1)
+ if (View.empty() || NumVariables > 1)
return true;
- return all_of(Constraints, [](auto &R) {
+ return all_of(View, [](auto &R) {
if (R.empty())
return true;
if (R[0].Id == 0)
@@ -158,10 +160,10 @@ SmallVector<std::string> ConstraintSystem::getVarNamesList() const {
void ConstraintSystem::dump() const {
#ifndef NDEBUG
- if (Constraints.empty())
+ if (View.empty())
return;
SmallVector<std::string> Names = getVarNamesList();
- for (const auto &Row : Constraints) {
+ for (const auto &Row : View) {
SmallVector<std::string, 16> Parts;
for (const Entry &E : Row) {
if (E.Id >= NumVariables)
diff --git a/llvm/lib/Transforms/Scalar/ConstraintElimination.cpp b/llvm/lib/Transforms/Scalar/ConstraintElimination.cpp
index c31173879af1e..ff13302abc553 100644
--- a/llvm/lib/Transforms/Scalar/ConstraintElimination.cpp
+++ b/llvm/lib/Transforms/Scalar/ConstraintElimination.cpp
@@ -40,7 +40,6 @@
#include "llvm/Transforms/Utils/Cloning.h"
#include "llvm/Transforms/Utils/ValueMapper.h"
-#include <cmath>
#include <optional>
#include <string>
@@ -57,6 +56,10 @@ static cl::opt<unsigned>
MaxRows("constraint-elimination-max-rows", cl::init(500), cl::Hidden,
cl::desc("Maximum number of rows to keep in constraint system"));
+static cl::opt<unsigned> MaxColumns(
+ "constraint-elimination-max-cols", cl::init(16), cl::Hidden,
+ cl::desc("Maximum number of columns to keep in constraint system"));
+
static cl::opt<bool> DumpReproducers(
"constraint-elimination-dump-reproducers", cl::init(false), cl::Hidden,
cl::desc("Dump IR to reproduce successful transformations."));
@@ -274,7 +277,8 @@ class ConstraintInfo {
public:
ConstraintInfo(const DataLayout &DL, ArrayRef<Value *> FunctionArgs)
- : UnsignedCS(FunctionArgs), SignedCS(FunctionArgs), DL(DL) {
+ : UnsignedCS(FunctionArgs, MaxColumns),
+ SignedCS(FunctionArgs, MaxColumns), DL(DL) {
auto &Value2Index = getValue2Index(false);
// Add Arg > -1 constraints to unsigned system for all function arguments.
for (Value *Arg : FunctionArgs) {
@@ -894,7 +898,7 @@ void ConstraintInfo::transferToOtherSystem(
static void dumpConstraint(ArrayRef<int64_t> C,
const DenseMap<Value *, unsigned> &Value2Index) {
- ConstraintSystem CS(Value2Index);
+ ConstraintSystem CS(Value2Index, C.size());
CS.addVariableRowFill(C);
CS.dump();
}
>From fd7bf235626fdf4917b9e2809d8a8163e2e9a4f5 Mon Sep 17 00:00:00 2001
From: Ramkumar Ramachandra <ramkumar.ramachandra at codasip.com>
Date: Tue, 16 Jul 2024 14:46:00 +0100
Subject: [PATCH 3/3] ConstraintElimination: attempt max-cols 64
---
llvm/include/llvm/Analysis/ConstraintSystem.h | 4 ++--
llvm/lib/Transforms/Scalar/ConstraintElimination.cpp | 2 +-
2 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/llvm/include/llvm/Analysis/ConstraintSystem.h b/llvm/include/llvm/Analysis/ConstraintSystem.h
index 6014b2cb64247..87bd80b143c88 100644
--- a/llvm/include/llvm/Analysis/ConstraintSystem.h
+++ b/llvm/include/llvm/Analysis/ConstraintSystem.h
@@ -45,10 +45,10 @@ class ConstraintSystem {
/// Current linear constraints in the system.
/// An entry of the form c0, c1, ... cn represents the following constraint:
/// c0 >= v0 * c1 + .... + v{n-1} * cn
- MatrixStorage<Entry, 64> Constraints;
+ MatrixStorage<Entry, 256> Constraints;
/// Constraints is only ever manipulated via this View.
- JaggedArrayView<Entry, 16, 64> View;
+ JaggedArrayView<Entry, 16, 256> View;
/// A map of variables (IR values) to their corresponding index in the
/// constraint system.
diff --git a/llvm/lib/Transforms/Scalar/ConstraintElimination.cpp b/llvm/lib/Transforms/Scalar/ConstraintElimination.cpp
index ff13302abc553..8626b643cbbca 100644
--- a/llvm/lib/Transforms/Scalar/ConstraintElimination.cpp
+++ b/llvm/lib/Transforms/Scalar/ConstraintElimination.cpp
@@ -57,7 +57,7 @@ static cl::opt<unsigned>
cl::desc("Maximum number of rows to keep in constraint system"));
static cl::opt<unsigned> MaxColumns(
- "constraint-elimination-max-cols", cl::init(16), cl::Hidden,
+ "constraint-elimination-max-cols", cl::init(64), cl::Hidden,
cl::desc("Maximum number of columns to keep in constraint system"));
static cl::opt<bool> DumpReproducers(
More information about the llvm-commits
mailing list