compiler/optimizing/induction_var_analysis.cc

/*
 * Copyright (C) 2015 The Android Open Source Project
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include "induction_var_analysis.h"

namespace art {

/**
 * Returns true if instruction is invariant within the given loop.
 */
static bool IsLoopInvariant(HLoopInformation* loop, HInstruction* instruction) {
  HLoopInformation* other_loop = instruction->GetBlock()->GetLoopInformation();
  if (other_loop != loop) {
    // If instruction does not occur in same loop, it is invariant
    // if it appears in an outer loop (including no loop at all).
    return other_loop == nullptr || loop->IsIn(*other_loop);
  }
  return false;
}

/**
 * Returns true if instruction is proper entry-phi-operation for given loop
 * (referred to as mu-operation in Gerlek's paper).
 */
static bool IsEntryPhi(HLoopInformation* loop, HInstruction* instruction) {
  return
      instruction->IsPhi() &&
      instruction->InputCount() == 2 &&
      instruction->GetBlock() == loop->GetHeader();
}

/**
 * Returns true for 32/64-bit integral constant, passing its value as output parameter.
 */
static bool IsIntAndGet(HInstruction* instruction, int64_t* value) {
  if (instruction->IsIntConstant()) {
    *value = instruction->AsIntConstant()->GetValue();
    return true;
  } else if (instruction->IsLongConstant()) {
    *value = instruction->AsLongConstant()->GetValue();
    return true;
  }
  return false;
}

/**
 * Returns a string representation of an instruction
 * (for testing and debugging only).
 */
static std::string InstructionToString(HInstruction* instruction) {
  if (instruction->IsIntConstant()) {
    return std::to_string(instruction->AsIntConstant()->GetValue());
  } else if (instruction->IsLongConstant()) {
    return std::to_string(instruction->AsLongConstant()->GetValue()) + "L";
  }
  return std::to_string(instruction->GetId()) + ":" + instruction->DebugName();
}

//
// Class methods.
//

HInductionVarAnalysis::HInductionVarAnalysis(HGraph* graph)
    : HOptimization(graph, kInductionPassName),
      global_depth_(0),
      stack_(graph->GetArena()->Adapter()),
      scc_(graph->GetArena()->Adapter()),
      map_(std::less<HInstruction*>(), graph->GetArena()->Adapter()),
      cycle_(std::less<HInstruction*>(), graph->GetArena()->Adapter()),
      induction_(std::less<HLoopInformation*>(), graph->GetArena()->Adapter()) {
}

void HInductionVarAnalysis::Run() {
  // Detects sequence variables (generalized induction variables) during an inner-loop-first
  // traversal of all loops using Gerlek's algorithm. The order is only relevant if outer
  // loops would use induction information of inner loops (not currently done).
  for (HPostOrderIterator it_graph(*graph_); !it_graph.Done(); it_graph.Advance()) {
    HBasicBlock* graph_block = it_graph.Current();
    if (graph_block->IsLoopHeader()) {
      VisitLoop(graph_block->GetLoopInformation());
    }
  }
}

void HInductionVarAnalysis::VisitLoop(HLoopInformation* loop) {
  // Find strongly connected components (SSCs) in the SSA graph of this loop using Tarjan's
  // algorithm. Due to the descendant-first nature, classification happens "on-demand".
  global_depth_ = 0;
  DCHECK(stack_.empty());
  map_.clear();

  for (HBlocksInLoopIterator it_loop(*loop); !it_loop.Done(); it_loop.Advance()) {
    HBasicBlock* loop_block = it_loop.Current();
    DCHECK(loop_block->IsInLoop());
    if (loop_block->GetLoopInformation() != loop) {
      continue;  // Inner loops already visited.
    }
    // Visit phi-operations and instructions.
    for (HInstructionIterator it(loop_block->GetPhis()); !it.Done(); it.Advance()) {
      HInstruction* instruction = it.Current();
      if (!IsVisitedNode(instruction)) {
        VisitNode(loop, instruction);
      }
    }
    for (HInstructionIterator it(loop_block->GetInstructions()); !it.Done(); it.Advance()) {
      HInstruction* instruction = it.Current();
      if (!IsVisitedNode(instruction)) {
        VisitNode(loop, instruction);
      }
    }
  }

  DCHECK(stack_.empty());
  map_.clear();
}

void HInductionVarAnalysis::VisitNode(HLoopInformation* loop, HInstruction* instruction) {
  const uint32_t d1 = ++global_depth_;
  map_.Put(instruction, NodeInfo(d1));
  stack_.push_back(instruction);

  // Visit all descendants.
  uint32_t low = d1;
  for (size_t i = 0, count = instruction->InputCount(); i < count; ++i) {
    low = std::min(low, VisitDescendant(loop, instruction->InputAt(i)));
  }

  // Lower or found SCC?
  if (low < d1) {
    map_.find(instruction)->second.depth = low;
  } else {
    scc_.clear();
    cycle_.clear();

    // Pop the stack to build the SCC for classification.
    while (!stack_.empty()) {
      HInstruction* x = stack_.back();
      scc_.push_back(x);
      stack_.pop_back();
      map_.find(x)->second.done = true;
      if (x == instruction) {
        break;
      }
    }

    // Classify the SCC.
    if (scc_.size() == 1 && !IsEntryPhi(loop, scc_[0])) {
      ClassifyTrivial(loop, scc_[0]);
    } else {
      ClassifyNonTrivial(loop);
    }

    scc_.clear();
    cycle_.clear();
  }
}

uint32_t HInductionVarAnalysis::VisitDescendant(HLoopInformation* loop, HInstruction* instruction) {
  // If the definition is either outside the loop (loop invariant entry value)
  // or assigned in inner loop (inner exit value), the traversal stops.
  HLoopInformation* otherLoop = instruction->GetBlock()->GetLoopInformation();
  if (otherLoop != loop) {
    return global_depth_;
  }

  // Inspect descendant node.
  if (!IsVisitedNode(instruction)) {
    VisitNode(loop, instruction);
    return map_.find(instruction)->second.depth;
  } else {
    auto it = map_.find(instruction);
    return it->second.done ? global_depth_ : it->second.depth;
  }
}

void HInductionVarAnalysis::ClassifyTrivial(HLoopInformation* loop, HInstruction* instruction) {
  InductionInfo* info = nullptr;
  if (instruction->IsPhi()) {
    for (size_t i = 1, count = instruction->InputCount(); i < count; i++) {
      info = TransferPhi(LookupInfo(loop, instruction->InputAt(0)),
                         LookupInfo(loop, instruction->InputAt(i)));
    }
  } else if (instruction->IsAdd()) {
    info = TransferAddSub(LookupInfo(loop, instruction->InputAt(0)),
                          LookupInfo(loop, instruction->InputAt(1)), kAdd);
  } else if (instruction->IsSub()) {
    info = TransferAddSub(LookupInfo(loop, instruction->InputAt(0)),
                          LookupInfo(loop, instruction->InputAt(1)), kSub);
  } else if (instruction->IsMul()) {
    info = TransferMul(LookupInfo(loop, instruction->InputAt(0)),
                       LookupInfo(loop, instruction->InputAt(1)));
  } else if (instruction->IsShl()) {
    info = TransferShl(LookupInfo(loop, instruction->InputAt(0)),
                       LookupInfo(loop, instruction->InputAt(1)),
                       instruction->InputAt(0)->GetType());
  } else if (instruction->IsNeg()) {
    info = TransferNeg(LookupInfo(loop, instruction->InputAt(0)));
  } else if (instruction->IsBoundsCheck()) {
    info = LookupInfo(loop, instruction->InputAt(0));  // Pass-through.
  } else if (instruction->IsTypeConversion()) {
    HTypeConversion* conversion = instruction->AsTypeConversion();
    // TODO: accept different conversion scenarios.
    if (conversion->GetResultType() == conversion->GetInputType()) {
      info = LookupInfo(loop, conversion->GetInput());
    }
  }

  // Successfully classified?
  if (info != nullptr) {
    AssignInfo(loop, instruction, info);
  }
}

void HInductionVarAnalysis::ClassifyNonTrivial(HLoopInformation* loop) {
  const size_t size = scc_.size();
  DCHECK_GE(size, 1u);
  HInstruction* phi = scc_[size - 1];
  if (!IsEntryPhi(loop, phi)) {
    return;
  }
  HInstruction* external = phi->InputAt(0);
  HInstruction* internal = phi->InputAt(1);
  InductionInfo* initial = LookupInfo(loop, external);
  if (initial == nullptr || initial->induction_class != kInvariant) {
    return;
  }

  // Singleton entry-phi-operation may be a wrap-around induction.
  if (size == 1) {
    InductionInfo* update = LookupInfo(loop, internal);
    if (update != nullptr) {
      AssignInfo(loop, phi, NewInduction(kWrapAround, initial, update));
    }
    return;
  }

  // Inspect remainder of the cycle that resides in scc_. The cycle_ mapping assigns
  // temporary meaning to its nodes, seeded from the phi instruction and back.
  for (size_t i = 0; i < size - 1; i++) {
    HInstruction* instruction = scc_[i];
    InductionInfo* update = nullptr;
    if (instruction->IsPhi()) {
      update = SolvePhi(loop, phi, instruction);
    } else if (instruction->IsAdd()) {
      update = SolveAddSub(
          loop, phi, instruction, instruction->InputAt(0), instruction->InputAt(1), kAdd, true);
    } else if (instruction->IsSub()) {
      update = SolveAddSub(
          loop, phi, instruction, instruction->InputAt(0), instruction->InputAt(1), kSub, true);
    }
    if (update == nullptr) {
      return;
    }
    cycle_.Put(instruction, update);
  }

  // Success if the internal link received a meaning.
  auto it = cycle_.find(internal);
  if (it != cycle_.end()) {
    InductionInfo* induction = it->second;
    switch (induction->induction_class) {
      case kInvariant:
        // Classify phi (last element in scc_) and then the rest of the cycle "on-demand".
        // Statements are scanned in the Tarjan SCC order, with phi first.
        AssignInfo(loop, phi, NewInduction(kLinear, induction, initial));
        for (size_t i = 0; i < size - 1; i++) {
          ClassifyTrivial(loop, scc_[i]);
        }
        break;
      case kPeriodic:
        // Classify all elements in the cycle with the found periodic induction while rotating
        // each first element to the end. Lastly, phi (last element in scc_) is classified.
        // Statements are scanned in the reverse Tarjan SCC order, with phi last.
        for (size_t i = 2; i <= size; i++) {
          AssignInfo(loop, scc_[size - i], induction);
          induction = RotatePeriodicInduction(induction->op_b, induction->op_a);
        }
        AssignInfo(loop, phi, induction);
        break;
      default:
        break;
    }
  }
}

HInductionVarAnalysis::InductionInfo* HInductionVarAnalysis::RotatePeriodicInduction(
    InductionInfo* induction,
    InductionInfo* last) {
  // Rotates a periodic induction of the form
  //   (a, b, c, d, e)
  // into
  //   (b, c, d, e, a)
  // in preparation of assigning this to the previous variable in the sequence.
  if (induction->induction_class == kInvariant) {
    return NewInduction(kPeriodic, induction, last);
  }
  return NewInduction(kPeriodic, induction->op_a, RotatePeriodicInduction(induction->op_b, last));
}

HInductionVarAnalysis::InductionInfo* HInductionVarAnalysis::TransferPhi(InductionInfo* a,
                                                                         InductionInfo* b) {
  // Transfer over a phi: if both inputs are identical, result is input.
  if (InductionEqual(a, b)) {
    return a;
  }
  return nullptr;
}

HInductionVarAnalysis::InductionInfo* HInductionVarAnalysis::TransferAddSub(InductionInfo* a,
                                                                            InductionInfo* b,
                                                                            InductionOp op) {
  // Transfer over an addition or subtraction: any invariant, linear, wrap-around, or periodic
  // can be combined with an invariant to yield a similar result. Even two linear inputs can
  // be combined. All other combinations fail, however.
  if (a != nullptr && b != nullptr) {
    if (a->induction_class == kInvariant && b->induction_class == kInvariant) {
      return NewInvariantOp(op, a, b);
    } else if (a->induction_class == kLinear && b->induction_class == kLinear) {
      return NewInduction(
          kLinear, TransferAddSub(a->op_a, b->op_a, op), TransferAddSub(a->op_b, b->op_b, op));
    } else if (a->induction_class == kInvariant) {
      InductionInfo* new_a = b->op_a;
      InductionInfo* new_b = TransferAddSub(a, b->op_b, op);
      if (b->induction_class != kLinear) {
        DCHECK(b->induction_class == kWrapAround || b->induction_class == kPeriodic);
        new_a = TransferAddSub(a, new_a, op);
      } else if (op == kSub) {  // Negation required.
        new_a = TransferNeg(new_a);
      }
      return NewInduction(b->induction_class, new_a, new_b);
    } else if (b->induction_class == kInvariant) {
      InductionInfo* new_a = a->op_a;
      InductionInfo* new_b = TransferAddSub(a->op_b, b, op);
      if (a->induction_class != kLinear) {
        DCHECK(a->induction_class == kWrapAround || a->induction_class == kPeriodic);
        new_a = TransferAddSub(new_a, b, op);
      }
      return NewInduction(a->induction_class, new_a, new_b);
    }
  }
  return nullptr;
}

HInductionVarAnalysis::InductionInfo* HInductionVarAnalysis::TransferMul(InductionInfo* a,
                                                                         InductionInfo* b) {
  // Transfer over a multiplication: any invariant, linear, wrap-around, or periodic
  // can be multiplied with an invariant to yield a similar but multiplied result.
  // Two non-invariant inputs cannot be multiplied, however.
  if (a != nullptr && b != nullptr) {
    if (a->induction_class == kInvariant && b->induction_class == kInvariant) {
      return NewInvariantOp(kMul, a, b);
    } else if (a->induction_class == kInvariant) {
      return NewInduction(b->induction_class, TransferMul(a, b->op_a), TransferMul(a, b->op_b));
    } else if (b->induction_class == kInvariant) {
      return NewInduction(a->induction_class, TransferMul(a->op_a, b), TransferMul(a->op_b, b));
    }
  }
  return nullptr;
}

HInductionVarAnalysis::InductionInfo* HInductionVarAnalysis::TransferShl(InductionInfo* a,
                                                                         InductionInfo* b,
                                                                         Primitive::Type t) {
  // Transfer over a shift left: treat shift by restricted constant as equivalent multiplication.
  if (a != nullptr && b != nullptr && b->induction_class == kInvariant && b->operation == kFetch) {
    int64_t value = -1;
    // Obtain the constant needed for the multiplication. This yields an existing instruction
    // if the constants is already there. Otherwise, this has a side effect on the HIR.
    // The restriction on the shift factor avoids generating a negative constant
    // (viz. 1 << 31 and 1L << 63 set the sign bit). The code assumes that generalization
    // for shift factors outside [0,32) and [0,64) ranges is done by earlier simplification.
    if (IsIntAndGet(b->fetch, &value)) {
      if (t == Primitive::kPrimInt && 0 <= value && value < 31) {
        return TransferMul(a, NewInvariantFetch(graph_->GetIntConstant(1 << value)));
      } else if (t == Primitive::kPrimLong && 0 <= value && value < 63) {
        return TransferMul(a, NewInvariantFetch(graph_->GetLongConstant(1L << value)));
      }
    }
  }
  return nullptr;
}

HInductionVarAnalysis::InductionInfo* HInductionVarAnalysis::TransferNeg(InductionInfo* a) {
  // Transfer over a unary negation: an invariant, linear, wrap-around, or periodic input
  // yields a similar but negated induction as result.
  if (a != nullptr) {
    if (a->induction_class == kInvariant) {
      return NewInvariantOp(kNeg, nullptr, a);
    }
    return NewInduction(a->induction_class, TransferNeg(a->op_a), TransferNeg(a->op_b));
  }
  return nullptr;
}

HInductionVarAnalysis::InductionInfo* HInductionVarAnalysis::SolvePhi(HLoopInformation* loop,
                                                                      HInstruction* phi,
                                                                      HInstruction* instruction) {
  // Solve within a cycle over a phi: identical inputs are combined into that input as result.
  const size_t count = instruction->InputCount();
  DCHECK_GT(count, 0u);
  auto ita = cycle_.find(instruction->InputAt(0));
  if (ita != cycle_.end()) {
    InductionInfo* a = ita->second;
    for (size_t i = 1; i < count; i++) {
      auto itb = cycle_.find(instruction->InputAt(i));
      if (itb == cycle_.end() || !HInductionVarAnalysis::InductionEqual(a, itb->second)) {
        return nullptr;
      }
    }
    return a;
  }

  // Solve within a cycle over another entry-phi: add invariants into a periodic.
  if (IsEntryPhi(loop, instruction)) {
    InductionInfo* a = LookupInfo(loop, instruction->InputAt(0));
    if (a != nullptr && a->induction_class == kInvariant) {
      if (instruction->InputAt(1) == phi) {
        InductionInfo* initial = LookupInfo(loop, phi->InputAt(0));
        return NewInduction(kPeriodic, a, initial);
      }
      auto it = cycle_.find(instruction->InputAt(1));
      if (it != cycle_.end()) {
        InductionInfo* b = it->second;
        if (b->induction_class == kPeriodic) {
          return NewInduction(kPeriodic, a, b);
        }
      }
    }
  }

  return nullptr;
}

HInductionVarAnalysis::InductionInfo* HInductionVarAnalysis::SolveAddSub(HLoopInformation* loop,
                                                                         HInstruction* phi,
                                                                         HInstruction* instruction,
                                                                         HInstruction* x,
                                                                         HInstruction* y,
                                                                         InductionOp op,
                                                                         bool is_first_call) {
  // Solve within a cycle over an addition or subtraction: adding or subtracting an
  // invariant value, seeded from phi, keeps adding to the stride of the induction.
  InductionInfo* b = LookupInfo(loop, y);
  if (b != nullptr && b->induction_class == kInvariant) {
    if (x == phi) {
      return (op == kAdd) ? b : NewInvariantOp(kNeg, nullptr, b);
    }
    auto it = cycle_.find(x);
    if (it != cycle_.end()) {
      InductionInfo* a = it->second;
      if (a->induction_class == kInvariant) {
        return NewInvariantOp(op, a, b);
      }
    }
  }

  // Try some alternatives before failing.
  if (op == kAdd) {
    // Try the other way around for an addition if considered for first time.
    if (is_first_call) {
      return SolveAddSub(loop, phi, instruction, y, x, op, false);
    }
  } else if (op == kSub) {
    // Solve within a tight cycle for a periodic idiom k = c - k;
    if (y == phi && instruction == phi->InputAt(1)) {
      InductionInfo* a = LookupInfo(loop, x);
      if (a != nullptr && a->induction_class == kInvariant) {
        InductionInfo* initial = LookupInfo(loop, phi->InputAt(0));
        return NewInduction(kPeriodic, NewInvariantOp(kSub, a, initial), initial);
      }
    }
  }

  return nullptr;
}

void HInductionVarAnalysis::AssignInfo(HLoopInformation* loop,
                                       HInstruction* instruction,
                                       InductionInfo* info) {
  auto it = induction_.find(loop);
  if (it == induction_.end()) {
    it = induction_.Put(loop,
                        ArenaSafeMap<HInstruction*, InductionInfo*>(
                            std::less<HInstruction*>(), graph_->GetArena()->Adapter()));
  }
  it->second.Put(instruction, info);
}

HInductionVarAnalysis::InductionInfo* HInductionVarAnalysis::LookupInfo(HLoopInformation* loop,
                                                                        HInstruction* instruction) {
  auto it = induction_.find(loop);
  if (it != induction_.end()) {
    auto loop_it = it->second.find(instruction);
    if (loop_it != it->second.end()) {
      return loop_it->second;
    }
  }
  if (IsLoopInvariant(loop, instruction)) {
    InductionInfo* info = NewInvariantFetch(instruction);
    AssignInfo(loop, instruction, info);
    return info;
  }
  return nullptr;
}

bool HInductionVarAnalysis::InductionEqual(InductionInfo* info1,
                                           InductionInfo* info2) {
  // Test structural equality only, without accounting for simplifications.
  if (info1 != nullptr && info2 != nullptr) {
    return
        info1->induction_class == info2->induction_class &&
        info1->operation       == info2->operation       &&
        info1->fetch           == info2->fetch           &&
        InductionEqual(info1->op_a, info2->op_a)         &&
        InductionEqual(info1->op_b, info2->op_b);
  }
  // Otherwise only two nullptrs are considered equal.
  return info1 == info2;
}

std::string HInductionVarAnalysis::InductionToString(InductionInfo* info) {
  if (info != nullptr) {
    if (info->induction_class == kInvariant) {
      std::string inv = "(";
      inv += InductionToString(info->op_a);
      switch (info->operation) {
        case kNop:   inv += " @ "; break;
        case kAdd:   inv += " + "; break;
        case kSub:
        case kNeg:   inv += " - "; break;
        case kMul:   inv += " * "; break;
        case kDiv:   inv += " / "; break;
        case kFetch:
          DCHECK(info->fetch);
          inv += InstructionToString(info->fetch);
          break;
      }
      inv += InductionToString(info->op_b);
      return inv + ")";
    } else {
      DCHECK(info->operation == kNop);
      if (info->induction_class == kLinear) {
        return "(" + InductionToString(info->op_a) + " * i + " +
                     InductionToString(info->op_b) + ")";
      } else if (info->induction_class == kWrapAround) {
        return "wrap(" + InductionToString(info->op_a) + ", " +
                         InductionToString(info->op_b) + ")";
      } else if (info->induction_class == kPeriodic) {
        return "periodic(" + InductionToString(info->op_a) + ", " +
                             InductionToString(info->op_b) + ")";
      }
    }
  }
  return "";
}

}  // namespace art