561 lines
20 KiB
C++
561 lines
20 KiB
C++
// Copyright (c) 2018 Google LLC.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifndef SOURCE_OPT_LOOP_DEPENDENCE_H_
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#define SOURCE_OPT_LOOP_DEPENDENCE_H_
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#include <algorithm>
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#include <cstdint>
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#include <list>
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#include <map>
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#include <memory>
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#include <ostream>
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#include <set>
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#include <string>
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#include <utility>
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#include <vector>
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#include "source/opt/instruction.h"
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#include "source/opt/ir_context.h"
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#include "source/opt/loop_descriptor.h"
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#include "source/opt/scalar_analysis.h"
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namespace spvtools {
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namespace opt {
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// Stores information about dependence between a load and a store wrt a single
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// loop in a loop nest.
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// DependenceInformation
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// * UNKNOWN if no dependence information can be gathered or is gathered
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// for it.
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// * DIRECTION if a dependence direction could be found, but not a
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// distance.
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// * DISTANCE if a dependence distance could be found.
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// * PEEL if peeling either the first or last iteration will break
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// dependence between the given load and store.
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// * IRRELEVANT if it has no effect on the dependence between the given
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// load and store.
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//
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// If peel_first == true, the analysis has found that peeling the first
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// iteration of this loop will break dependence.
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//
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// If peel_last == true, the analysis has found that peeling the last iteration
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// of this loop will break dependence.
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class DistanceEntry {
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public:
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enum DependenceInformation {
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UNKNOWN = 0,
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DIRECTION = 1,
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DISTANCE = 2,
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PEEL = 3,
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IRRELEVANT = 4,
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POINT = 5
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};
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enum Directions {
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NONE = 0,
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LT = 1,
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EQ = 2,
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LE = 3,
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GT = 4,
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NE = 5,
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GE = 6,
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ALL = 7
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};
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DependenceInformation dependence_information;
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Directions direction;
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int64_t distance;
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bool peel_first;
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bool peel_last;
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int64_t point_x;
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int64_t point_y;
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DistanceEntry()
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: dependence_information(DependenceInformation::UNKNOWN),
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direction(Directions::ALL),
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distance(0),
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peel_first(false),
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peel_last(false),
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point_x(0),
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point_y(0) {}
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explicit DistanceEntry(Directions direction_)
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: dependence_information(DependenceInformation::DIRECTION),
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direction(direction_),
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distance(0),
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peel_first(false),
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peel_last(false),
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point_x(0),
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point_y(0) {}
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DistanceEntry(Directions direction_, int64_t distance_)
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: dependence_information(DependenceInformation::DISTANCE),
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direction(direction_),
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distance(distance_),
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peel_first(false),
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peel_last(false),
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point_x(0),
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point_y(0) {}
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DistanceEntry(int64_t x, int64_t y)
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: dependence_information(DependenceInformation::POINT),
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direction(Directions::ALL),
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distance(0),
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peel_first(false),
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peel_last(false),
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point_x(x),
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point_y(y) {}
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bool operator==(const DistanceEntry& rhs) const {
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return direction == rhs.direction && peel_first == rhs.peel_first &&
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peel_last == rhs.peel_last && distance == rhs.distance &&
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point_x == rhs.point_x && point_y == rhs.point_y;
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}
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bool operator!=(const DistanceEntry& rhs) const { return !(*this == rhs); }
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};
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// Stores a vector of DistanceEntrys, one per loop in the analysis.
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// A DistanceVector holds all of the information gathered in a dependence
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// analysis wrt the loops stored in the LoopDependenceAnalysis performing the
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// analysis.
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class DistanceVector {
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public:
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explicit DistanceVector(size_t size) : entries(size, DistanceEntry{}) {}
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explicit DistanceVector(std::vector<DistanceEntry> entries_)
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: entries(entries_) {}
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DistanceEntry& GetEntry(size_t index) { return entries[index]; }
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const DistanceEntry& GetEntry(size_t index) const { return entries[index]; }
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std::vector<DistanceEntry>& GetEntries() { return entries; }
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const std::vector<DistanceEntry>& GetEntries() const { return entries; }
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bool operator==(const DistanceVector& rhs) const {
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if (entries.size() != rhs.entries.size()) {
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return false;
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}
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for (size_t i = 0; i < entries.size(); ++i) {
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if (entries[i] != rhs.entries[i]) {
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return false;
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}
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}
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return true;
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}
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bool operator!=(const DistanceVector& rhs) const { return !(*this == rhs); }
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private:
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std::vector<DistanceEntry> entries;
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};
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class DependenceLine;
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class DependenceDistance;
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class DependencePoint;
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class DependenceNone;
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class DependenceEmpty;
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class Constraint {
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public:
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explicit Constraint(const Loop* loop) : loop_(loop) {}
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enum ConstraintType { Line, Distance, Point, None, Empty };
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virtual ConstraintType GetType() const = 0;
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virtual ~Constraint() {}
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// Get the loop this constraint belongs to.
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const Loop* GetLoop() const { return loop_; }
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bool operator==(const Constraint& other) const;
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bool operator!=(const Constraint& other) const;
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// clang-format off
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#define DeclareCastMethod(target) \
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virtual target* As##target() { return nullptr; } \
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virtual const target* As##target() const { return nullptr; }
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DeclareCastMethod(DependenceLine)
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DeclareCastMethod(DependenceDistance)
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DeclareCastMethod(DependencePoint)
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DeclareCastMethod(DependenceNone)
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DeclareCastMethod(DependenceEmpty)
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#undef DeclareCastMethod
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protected:
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const Loop* loop_;
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};
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// clang-format on
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class DependenceLine : public Constraint {
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public:
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DependenceLine(SENode* a, SENode* b, SENode* c, const Loop* loop)
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: Constraint(loop), a_(a), b_(b), c_(c) {}
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ConstraintType GetType() const final { return Line; }
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DependenceLine* AsDependenceLine() final { return this; }
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const DependenceLine* AsDependenceLine() const final { return this; }
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SENode* GetA() const { return a_; }
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SENode* GetB() const { return b_; }
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SENode* GetC() const { return c_; }
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private:
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SENode* a_;
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SENode* b_;
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SENode* c_;
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};
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class DependenceDistance : public Constraint {
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public:
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DependenceDistance(SENode* distance, const Loop* loop)
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: Constraint(loop), distance_(distance) {}
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ConstraintType GetType() const final { return Distance; }
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DependenceDistance* AsDependenceDistance() final { return this; }
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const DependenceDistance* AsDependenceDistance() const final { return this; }
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SENode* GetDistance() const { return distance_; }
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private:
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SENode* distance_;
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};
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class DependencePoint : public Constraint {
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public:
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DependencePoint(SENode* source, SENode* destination, const Loop* loop)
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: Constraint(loop), source_(source), destination_(destination) {}
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ConstraintType GetType() const final { return Point; }
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DependencePoint* AsDependencePoint() final { return this; }
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const DependencePoint* AsDependencePoint() const final { return this; }
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SENode* GetSource() const { return source_; }
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SENode* GetDestination() const { return destination_; }
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private:
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SENode* source_;
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SENode* destination_;
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};
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class DependenceNone : public Constraint {
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public:
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DependenceNone() : Constraint(nullptr) {}
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ConstraintType GetType() const final { return None; }
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DependenceNone* AsDependenceNone() final { return this; }
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const DependenceNone* AsDependenceNone() const final { return this; }
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};
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class DependenceEmpty : public Constraint {
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public:
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DependenceEmpty() : Constraint(nullptr) {}
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ConstraintType GetType() const final { return Empty; }
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DependenceEmpty* AsDependenceEmpty() final { return this; }
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const DependenceEmpty* AsDependenceEmpty() const final { return this; }
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};
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// Provides dependence information between a store instruction and a load
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// instruction inside the same loop in a loop nest.
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//
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// The analysis can only check dependence between stores and loads with regard
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// to the loop nest it is created with.
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//
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// The analysis can output debugging information to a stream. The output
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// describes the control flow of the analysis and what information it can deduce
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// at each step.
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// SetDebugStream and ClearDebugStream are provided for this functionality.
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//
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// The dependency algorithm is based on the 1990 Paper
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// Practical Dependence Testing
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// Gina Goff, Ken Kennedy, Chau-Wen Tseng
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//
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// The algorithm first identifies subscript pairs between the load and store.
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// Each pair is tested until all have been tested or independence is found.
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// The number of induction variables in a pair determines which test to perform
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// on it;
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// Zero Index Variable (ZIV) is used when no induction variables are present
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// in the pair.
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// Single Index Variable (SIV) is used when only one induction variable is
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// present, but may occur multiple times in the pair.
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// Multiple Index Variable (MIV) is used when more than one induction variable
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// is present in the pair.
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class LoopDependenceAnalysis {
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public:
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LoopDependenceAnalysis(IRContext* context, std::vector<const Loop*> loops)
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: context_(context),
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loops_(loops),
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scalar_evolution_(context),
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debug_stream_(nullptr),
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constraints_{} {}
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// Finds the dependence between |source| and |destination|.
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// |source| should be an OpLoad.
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// |destination| should be an OpStore.
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// Any direction and distance information found will be stored in
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// |distance_vector|.
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// Returns true if independence is found, false otherwise.
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bool GetDependence(const Instruction* source, const Instruction* destination,
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DistanceVector* distance_vector);
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// Returns true if |subscript_pair| represents a Zero Index Variable pair
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// (ZIV)
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bool IsZIV(const std::pair<SENode*, SENode*>& subscript_pair);
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// Returns true if |subscript_pair| represents a Single Index Variable
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// (SIV) pair
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bool IsSIV(const std::pair<SENode*, SENode*>& subscript_pair);
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// Returns true if |subscript_pair| represents a Multiple Index Variable
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// (MIV) pair
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bool IsMIV(const std::pair<SENode*, SENode*>& subscript_pair);
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// Finds the lower bound of |loop| as an SENode* and returns the result.
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// The lower bound is the starting value of the loops induction variable
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SENode* GetLowerBound(const Loop* loop);
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// Finds the upper bound of |loop| as an SENode* and returns the result.
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// The upper bound is the last value before the loop exit condition is met.
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SENode* GetUpperBound(const Loop* loop);
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// Returns true if |value| is between |bound_one| and |bound_two| (inclusive).
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bool IsWithinBounds(int64_t value, int64_t bound_one, int64_t bound_two);
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// Finds the bounds of |loop| as upper_bound - lower_bound and returns the
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// resulting SENode.
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// If the operations can not be completed a nullptr is returned.
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SENode* GetTripCount(const Loop* loop);
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// Returns the SENode* produced by building an SENode from the result of
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// calling GetInductionInitValue on |loop|.
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// If the operation can not be completed a nullptr is returned.
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SENode* GetFirstTripInductionNode(const Loop* loop);
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// Returns the SENode* produced by building an SENode from the result of
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// GetFirstTripInductionNode + (GetTripCount - 1) * induction_coefficient.
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// If the operation can not be completed a nullptr is returned.
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SENode* GetFinalTripInductionNode(const Loop* loop,
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SENode* induction_coefficient);
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// Returns all the distinct loops that appear in |nodes|.
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std::set<const Loop*> CollectLoops(
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const std::vector<SERecurrentNode*>& nodes);
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// Returns all the distinct loops that appear in |source| and |destination|.
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std::set<const Loop*> CollectLoops(SENode* source, SENode* destination);
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// Returns true if |distance| is provably outside the loop bounds.
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// |coefficient| must be an SENode representing the coefficient of the
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// induction variable of |loop|.
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// This method is able to handle some symbolic cases which IsWithinBounds
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// can't handle.
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bool IsProvablyOutsideOfLoopBounds(const Loop* loop, SENode* distance,
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SENode* coefficient);
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// Sets the ostream for debug information for the analysis.
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void SetDebugStream(std::ostream& debug_stream) {
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debug_stream_ = &debug_stream;
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}
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// Clears the stored ostream to stop debug information printing.
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void ClearDebugStream() { debug_stream_ = nullptr; }
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// Returns the ScalarEvolutionAnalysis used by this analysis.
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ScalarEvolutionAnalysis* GetScalarEvolution() { return &scalar_evolution_; }
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// Creates a new constraint of type |T| and returns the pointer to it.
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template <typename T, typename... Args>
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Constraint* make_constraint(Args&&... args) {
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constraints_.push_back(
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std::unique_ptr<Constraint>(new T(std::forward<Args>(args)...)));
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return constraints_.back().get();
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}
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// Subscript partitioning as described in Figure 1 of 'Practical Dependence
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// Testing' by Gina Goff, Ken Kennedy, and Chau-Wen Tseng from PLDI '91.
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// Partitions the subscripts into independent subscripts and minimally coupled
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// sets of subscripts.
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// Returns the partitioning of subscript pairs. Sets of size 1 indicates an
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// independent subscript-pair and others indicate coupled sets.
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using PartitionedSubscripts =
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std::vector<std::set<std::pair<Instruction*, Instruction*>>>;
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PartitionedSubscripts PartitionSubscripts(
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const std::vector<Instruction*>& source_subscripts,
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const std::vector<Instruction*>& destination_subscripts);
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// Returns the Loop* matching the loop for |subscript_pair|.
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// |subscript_pair| must be an SIV pair.
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const Loop* GetLoopForSubscriptPair(
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const std::pair<SENode*, SENode*>& subscript_pair);
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// Returns the DistanceEntry matching the loop for |subscript_pair|.
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// |subscript_pair| must be an SIV pair.
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DistanceEntry* GetDistanceEntryForSubscriptPair(
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const std::pair<SENode*, SENode*>& subscript_pair,
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DistanceVector* distance_vector);
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// Returns the DistanceEntry matching |loop|.
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DistanceEntry* GetDistanceEntryForLoop(const Loop* loop,
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DistanceVector* distance_vector);
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// Returns a vector of Instruction* which form the subscripts of the array
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// access defined by the access chain |instruction|.
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std::vector<Instruction*> GetSubscripts(const Instruction* instruction);
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// Delta test as described in Figure 3 of 'Practical Dependence
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// Testing' by Gina Goff, Ken Kennedy, and Chau-Wen Tseng from PLDI '91.
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bool DeltaTest(
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const std::vector<std::pair<SENode*, SENode*>>& coupled_subscripts,
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DistanceVector* dv_entry);
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// Constraint propagation as described in Figure 5 of 'Practical Dependence
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// Testing' by Gina Goff, Ken Kennedy, and Chau-Wen Tseng from PLDI '91.
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std::pair<SENode*, SENode*> PropagateConstraints(
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const std::pair<SENode*, SENode*>& subscript_pair,
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const std::vector<Constraint*>& constraints);
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// Constraint intersection as described in Figure 4 of 'Practical Dependence
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// Testing' by Gina Goff, Ken Kennedy, and Chau-Wen Tseng from PLDI '91.
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Constraint* IntersectConstraints(Constraint* constraint_0,
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Constraint* constraint_1,
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const SENode* lower_bound,
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const SENode* upper_bound);
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// Returns true if each loop in |loops| is in a form supported by this
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// analysis.
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// A loop is supported if it has a single induction variable and that
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// induction variable has a step of +1 or -1 per loop iteration.
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bool CheckSupportedLoops(std::vector<const Loop*> loops);
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// Returns true if |loop| is in a form supported by this analysis.
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// A loop is supported if it has a single induction variable and that
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// induction variable has a step of +1 or -1 per loop iteration.
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bool IsSupportedLoop(const Loop* loop);
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private:
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IRContext* context_;
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// The loop nest we are analysing the dependence of.
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std::vector<const Loop*> loops_;
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// The ScalarEvolutionAnalysis used by this analysis to store and perform much
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// of its logic.
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ScalarEvolutionAnalysis scalar_evolution_;
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// The ostream debug information for the analysis to print to.
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std::ostream* debug_stream_;
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// Stores all the constraints created by the analysis.
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std::list<std::unique_ptr<Constraint>> constraints_;
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// Returns true if independence can be proven and false if it can't be proven.
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bool ZIVTest(const std::pair<SENode*, SENode*>& subscript_pair);
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// Analyzes the subscript pair to find an applicable SIV test.
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// Returns true if independence can be proven and false if it can't be proven.
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bool SIVTest(const std::pair<SENode*, SENode*>& subscript_pair,
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DistanceVector* distance_vector);
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// Takes the form a*i + c1, a*i + c2
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// When c1 and c2 are loop invariant and a is constant
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// distance = (c1 - c2)/a
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// < if distance > 0
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// direction = = if distance = 0
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// > if distance < 0
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// Returns true if independence is proven and false if it can't be proven.
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bool StrongSIVTest(SENode* source, SENode* destination, SENode* coeff,
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DistanceEntry* distance_entry);
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// Takes for form a*i + c1, a*i + c2
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// where c1 and c2 are loop invariant and a is constant.
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// c1 and/or c2 contain one or more SEValueUnknown nodes.
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bool SymbolicStrongSIVTest(SENode* source, SENode* destination,
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SENode* coefficient,
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DistanceEntry* distance_entry);
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// Takes the form a1*i + c1, a2*i + c2
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// where a1 = 0
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// distance = (c1 - c2) / a2
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// Returns true if independence is proven and false if it can't be proven.
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bool WeakZeroSourceSIVTest(SENode* source, SERecurrentNode* destination,
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SENode* coefficient,
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DistanceEntry* distance_entry);
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// Takes the form a1*i + c1, a2*i + c2
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// where a2 = 0
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// distance = (c2 - c1) / a1
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// Returns true if independence is proven and false if it can't be proven.
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bool WeakZeroDestinationSIVTest(SERecurrentNode* source, SENode* destination,
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SENode* coefficient,
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DistanceEntry* distance_entry);
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// Takes the form a1*i + c1, a2*i + c2
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// where a1 = -a2
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// distance = (c2 - c1) / 2*a1
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// Returns true if independence is proven and false if it can't be proven.
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bool WeakCrossingSIVTest(SENode* source, SENode* destination,
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SENode* coefficient, DistanceEntry* distance_entry);
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// Uses the def_use_mgr to get the instruction referenced by
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// SingleWordInOperand(|id|) when called on |instruction|.
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Instruction* GetOperandDefinition(const Instruction* instruction, int id);
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// Perform the GCD test if both, the source and the destination nodes, are in
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// the form a0*i0 + a1*i1 + ... an*in + c.
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bool GCDMIVTest(const std::pair<SENode*, SENode*>& subscript_pair);
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// Finds the number of induction variables in |node|.
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// Returns -1 on failure.
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int64_t CountInductionVariables(SENode* node);
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// Finds the number of induction variables shared between |source| and
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|
// |destination|.
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// Returns -1 on failure.
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|
int64_t CountInductionVariables(SENode* source, SENode* destination);
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|
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// Takes the offset from the induction variable and subtracts the lower bound
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// from it to get the constant term added to the induction.
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// Returns the resuting constant term, or nullptr if it could not be produced.
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SENode* GetConstantTerm(const Loop* loop, SERecurrentNode* induction);
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// Marks all the distance entries in |distance_vector| that were relate to
|
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// loops in |loops_| but were not used in any subscripts as irrelevant to the
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// to the dependence test.
|
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void MarkUnsusedDistanceEntriesAsIrrelevant(const Instruction* source,
|
|
const Instruction* destination,
|
|
DistanceVector* distance_vector);
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|
|
|
// Converts |value| to a std::string and returns the result.
|
|
// This is required because Android does not compile std::to_string.
|
|
template <typename valueT>
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|
std::string ToString(valueT value) {
|
|
std::ostringstream string_stream;
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|
string_stream << value;
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|
return string_stream.str();
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}
|
|
|
|
// Prints |debug_msg| and "\n" to the ostream pointed to by |debug_stream_|.
|
|
// Won't print anything if |debug_stream_| is nullptr.
|
|
void PrintDebug(std::string debug_msg);
|
|
};
|
|
|
|
} // namespace opt
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} // namespace spvtools
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|
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#endif // SOURCE_OPT_LOOP_DEPENDENCE_H_
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