github.com/johnnyeven/libtools@v0.0.0-20191126065708-61829c1adf46/third_party/mlir/lib/IR/AffineExpr.cpp

//===- AffineExpr.cpp - MLIR Affine Expr Classes --------------------------===//
//
// Copyright 2019 The MLIR Authors.
//
// 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 "mlir/IR/AffineExpr.h"
#include "AffineExprDetail.h"
#include "mlir/IR/AffineExprVisitor.h"
#include "mlir/IR/AffineMap.h"
#include "mlir/IR/IntegerSet.h"
#include "mlir/Support/MathExtras.h"
#include "mlir/Support/STLExtras.h"
#include "llvm/ADT/STLExtras.h"

using namespace mlir;
using namespace mlir::detail;

MLIRContext *AffineExpr::getContext() const { return expr->context; }

AffineExprKind AffineExpr::getKind() const {
  return static_cast<AffineExprKind>(expr->getKind());
}

/// Walk all of the AffineExprs in this subgraph in postorder.
void AffineExpr::walk(std::function<void(AffineExpr)> callback) const {
  struct AffineExprWalker : public AffineExprVisitor<AffineExprWalker> {
    std::function<void(AffineExpr)> callback;

    AffineExprWalker(std::function<void(AffineExpr)> callback)
        : callback(callback) {}

    void visitAffineBinaryOpExpr(AffineBinaryOpExpr expr) { callback(expr); }
    void visitConstantExpr(AffineConstantExpr expr) { callback(expr); }
    void visitDimExpr(AffineDimExpr expr) { callback(expr); }
    void visitSymbolExpr(AffineSymbolExpr expr) { callback(expr); }
  };

  AffineExprWalker(callback).walkPostOrder(*this);
}

// Dispatch affine expression construction based on kind.
AffineExpr mlir::getAffineBinaryOpExpr(AffineExprKind kind, AffineExpr lhs,
                                       AffineExpr rhs) {
  if (kind == AffineExprKind::Add)
    return lhs + rhs;
  if (kind == AffineExprKind::Mul)
    return lhs * rhs;
  if (kind == AffineExprKind::FloorDiv)
    return lhs.floorDiv(rhs);
  if (kind == AffineExprKind::CeilDiv)
    return lhs.ceilDiv(rhs);
  if (kind == AffineExprKind::Mod)
    return lhs % rhs;

  llvm_unreachable("unknown binary operation on affine expressions");
}

/// This method substitutes any uses of dimensions and symbols (e.g.
/// dim#0 with dimReplacements[0]) and returns the modified expression tree.
AffineExpr
AffineExpr::replaceDimsAndSymbols(ArrayRef<AffineExpr> dimReplacements,
                                  ArrayRef<AffineExpr> symReplacements) const {
  switch (getKind()) {
  case AffineExprKind::Constant:
    return *this;
  case AffineExprKind::DimId: {
    unsigned dimId = cast<AffineDimExpr>().getPosition();
    if (dimId >= dimReplacements.size())
      return *this;
    return dimReplacements[dimId];
  }
  case AffineExprKind::SymbolId: {
    unsigned symId = cast<AffineSymbolExpr>().getPosition();
    if (symId >= symReplacements.size())
      return *this;
    return symReplacements[symId];
  }
  case AffineExprKind::Add:
  case AffineExprKind::Mul:
  case AffineExprKind::FloorDiv:
  case AffineExprKind::CeilDiv:
  case AffineExprKind::Mod:
    auto binOp = cast<AffineBinaryOpExpr>();
    auto lhs = binOp.getLHS(), rhs = binOp.getRHS();
    auto newLHS = lhs.replaceDimsAndSymbols(dimReplacements, symReplacements);
    auto newRHS = rhs.replaceDimsAndSymbols(dimReplacements, symReplacements);
    if (newLHS == lhs && newRHS == rhs)
      return *this;
    return getAffineBinaryOpExpr(getKind(), newLHS, newRHS);
  }
  llvm_unreachable("Unknown AffineExpr");
}

/// Returns true if this expression is made out of only symbols and
/// constants (no dimensional identifiers).
bool AffineExpr::isSymbolicOrConstant() const {
  switch (getKind()) {
  case AffineExprKind::Constant:
    return true;
  case AffineExprKind::DimId:
    return false;
  case AffineExprKind::SymbolId:
    return true;

  case AffineExprKind::Add:
  case AffineExprKind::Mul:
  case AffineExprKind::FloorDiv:
  case AffineExprKind::CeilDiv:
  case AffineExprKind::Mod: {
    auto expr = this->cast<AffineBinaryOpExpr>();
    return expr.getLHS().isSymbolicOrConstant() &&
           expr.getRHS().isSymbolicOrConstant();
  }
  }
  llvm_unreachable("Unknown AffineExpr");
}

/// Returns true if this is a pure affine expression, i.e., multiplication,
/// floordiv, ceildiv, and mod is only allowed w.r.t constants.
bool AffineExpr::isPureAffine() const {
  switch (getKind()) {
  case AffineExprKind::SymbolId:
  case AffineExprKind::DimId:
  case AffineExprKind::Constant:
    return true;
  case AffineExprKind::Add: {
    auto op = cast<AffineBinaryOpExpr>();
    return op.getLHS().isPureAffine() && op.getRHS().isPureAffine();
  }

  case AffineExprKind::Mul: {
    // TODO: Canonicalize the constants in binary operators to the RHS when
    // possible, allowing this to merge into the next case.
    auto op = cast<AffineBinaryOpExpr>();
    return op.getLHS().isPureAffine() && op.getRHS().isPureAffine() &&
           (op.getLHS().template isa<AffineConstantExpr>() ||
            op.getRHS().template isa<AffineConstantExpr>());
  }
  case AffineExprKind::FloorDiv:
  case AffineExprKind::CeilDiv:
  case AffineExprKind::Mod: {
    auto op = cast<AffineBinaryOpExpr>();
    return op.getLHS().isPureAffine() &&
           op.getRHS().template isa<AffineConstantExpr>();
  }
  }
  llvm_unreachable("Unknown AffineExpr");
}

// Returns the greatest known integral divisor of this affine expression.
uint64_t AffineExpr::getLargestKnownDivisor() const {
  AffineBinaryOpExpr binExpr(nullptr);
  switch (getKind()) {
  case AffineExprKind::SymbolId:
    LLVM_FALLTHROUGH;
  case AffineExprKind::DimId:
    return 1;
  case AffineExprKind::Constant:
    return std::abs(this->cast<AffineConstantExpr>().getValue());
  case AffineExprKind::Mul: {
    binExpr = this->cast<AffineBinaryOpExpr>();
    return binExpr.getLHS().getLargestKnownDivisor() *
           binExpr.getRHS().getLargestKnownDivisor();
  }
  case AffineExprKind::Add:
    LLVM_FALLTHROUGH;
  case AffineExprKind::FloorDiv:
  case AffineExprKind::CeilDiv:
  case AffineExprKind::Mod: {
    binExpr = cast<AffineBinaryOpExpr>();
    return llvm::GreatestCommonDivisor64(
        binExpr.getLHS().getLargestKnownDivisor(),
        binExpr.getRHS().getLargestKnownDivisor());
  }
  }
  llvm_unreachable("Unknown AffineExpr");
}

bool AffineExpr::isMultipleOf(int64_t factor) const {
  AffineBinaryOpExpr binExpr(nullptr);
  uint64_t l, u;
  switch (getKind()) {
  case AffineExprKind::SymbolId:
    LLVM_FALLTHROUGH;
  case AffineExprKind::DimId:
    return factor * factor == 1;
  case AffineExprKind::Constant:
    return cast<AffineConstantExpr>().getValue() % factor == 0;
  case AffineExprKind::Mul: {
    binExpr = cast<AffineBinaryOpExpr>();
    // It's probably not worth optimizing this further (to not traverse the
    // whole sub-tree under - it that would require a version of isMultipleOf
    // that on a 'false' return also returns the largest known divisor).
    return (l = binExpr.getLHS().getLargestKnownDivisor()) % factor == 0 ||
           (u = binExpr.getRHS().getLargestKnownDivisor()) % factor == 0 ||
           (l * u) % factor == 0;
  }
  case AffineExprKind::Add:
  case AffineExprKind::FloorDiv:
  case AffineExprKind::CeilDiv:
  case AffineExprKind::Mod: {
    binExpr = cast<AffineBinaryOpExpr>();
    return llvm::GreatestCommonDivisor64(
               binExpr.getLHS().getLargestKnownDivisor(),
               binExpr.getRHS().getLargestKnownDivisor()) %
               factor ==
           0;
  }
  }
  llvm_unreachable("Unknown AffineExpr");
}

bool AffineExpr::isFunctionOfDim(unsigned position) const {
  if (getKind() == AffineExprKind::DimId) {
    return *this == mlir::getAffineDimExpr(position, getContext());
  }
  if (auto expr = this->dyn_cast<AffineBinaryOpExpr>()) {
    return expr.getLHS().isFunctionOfDim(position) ||
           expr.getRHS().isFunctionOfDim(position);
  }
  return false;
}

AffineBinaryOpExpr::AffineBinaryOpExpr(AffineExpr::ImplType *ptr)
    : AffineExpr(ptr) {}
AffineExpr AffineBinaryOpExpr::getLHS() const {
  return static_cast<ImplType *>(expr)->lhs;
}
AffineExpr AffineBinaryOpExpr::getRHS() const {
  return static_cast<ImplType *>(expr)->rhs;
}

AffineDimExpr::AffineDimExpr(AffineExpr::ImplType *ptr) : AffineExpr(ptr) {}
unsigned AffineDimExpr::getPosition() const {
  return static_cast<ImplType *>(expr)->position;
}

static AffineExpr getAffineDimOrSymbol(AffineExprKind kind, unsigned position,
                                       MLIRContext *context) {
  auto assignCtx = [context](AffineDimExprStorage *storage) {
    storage->context = context;
  };

  StorageUniquer &uniquer = context->getAffineUniquer();
  return uniquer.get<AffineDimExprStorage>(
      assignCtx, static_cast<unsigned>(kind), position);
}

AffineExpr mlir::getAffineDimExpr(unsigned position, MLIRContext *context) {
  return getAffineDimOrSymbol(AffineExprKind::DimId, position, context);
}

AffineSymbolExpr::AffineSymbolExpr(AffineExpr::ImplType *ptr)
    : AffineExpr(ptr) {}
unsigned AffineSymbolExpr::getPosition() const {
  return static_cast<ImplType *>(expr)->position;
}

AffineExpr mlir::getAffineSymbolExpr(unsigned position, MLIRContext *context) {
  return getAffineDimOrSymbol(AffineExprKind::SymbolId, position, context);
  ;
}

AffineConstantExpr::AffineConstantExpr(AffineExpr::ImplType *ptr)
    : AffineExpr(ptr) {}
int64_t AffineConstantExpr::getValue() const {
  return static_cast<ImplType *>(expr)->constant;
}

AffineExpr mlir::getAffineConstantExpr(int64_t constant, MLIRContext *context) {
  auto assignCtx = [context](AffineConstantExprStorage *storage) {
    storage->context = context;
  };

  StorageUniquer &uniquer = context->getAffineUniquer();
  return uniquer.get<AffineConstantExprStorage>(
      assignCtx, static_cast<unsigned>(AffineExprKind::Constant), constant);
}

/// Simplify add expression. Return nullptr if it can't be simplified.
static AffineExpr simplifyAdd(AffineExpr lhs, AffineExpr rhs) {
  auto lhsConst = lhs.dyn_cast<AffineConstantExpr>();
  auto rhsConst = rhs.dyn_cast<AffineConstantExpr>();
  // Fold if both LHS, RHS are a constant.
  if (lhsConst && rhsConst)
    return getAffineConstantExpr(lhsConst.getValue() + rhsConst.getValue(),
                                 lhs.getContext());

  // Canonicalize so that only the RHS is a constant. (4 + d0 becomes d0 + 4).
  // If only one of them is a symbolic expressions, make it the RHS.
  if (lhs.isa<AffineConstantExpr>() ||
      (lhs.isSymbolicOrConstant() && !rhs.isSymbolicOrConstant())) {
    return rhs + lhs;
  }

  // At this point, if there was a constant, it would be on the right.

  // Addition with a zero is a noop, return the other input.
  if (rhsConst) {
    if (rhsConst.getValue() == 0)
      return lhs;
  }
  // Fold successive additions like (d0 + 2) + 3 into d0 + 5.
  auto lBin = lhs.dyn_cast<AffineBinaryOpExpr>();
  if (lBin && rhsConst && lBin.getKind() == AffineExprKind::Add) {
    if (auto lrhs = lBin.getRHS().dyn_cast<AffineConstantExpr>())
      return lBin.getLHS() + (lrhs.getValue() + rhsConst.getValue());
  }

  // When doing successive additions, bring constant to the right: turn (d0 + 2)
  // + d1 into (d0 + d1) + 2.
  if (lBin && lBin.getKind() == AffineExprKind::Add) {
    if (auto lrhs = lBin.getRHS().dyn_cast<AffineConstantExpr>()) {
      return lBin.getLHS() + rhs + lrhs;
    }
  }

  // Detect and transform "expr - c * (expr floordiv c)" to "expr mod c". This
  // leads to a much more efficient form when 'c' is a power of two, and in
  // general a more compact and readable form.

  // Process '(expr floordiv c) * (-c)'.
  AffineBinaryOpExpr rBinOpExpr = rhs.dyn_cast<AffineBinaryOpExpr>();
  if (!rBinOpExpr)
    return nullptr;

  auto lrhs = rBinOpExpr.getLHS();
  auto rrhs = rBinOpExpr.getRHS();

  // Process lrhs, which is 'expr floordiv c'.
  AffineBinaryOpExpr lrBinOpExpr = lrhs.dyn_cast<AffineBinaryOpExpr>();
  if (!lrBinOpExpr || lrBinOpExpr.getKind() != AffineExprKind::FloorDiv)
    return nullptr;

  auto llrhs = lrBinOpExpr.getLHS();
  auto rlrhs = lrBinOpExpr.getRHS();

  if (lhs == llrhs && rlrhs == -rrhs) {
    return lhs % rlrhs;
  }
  return nullptr;
}

AffineExpr AffineExpr::operator+(int64_t v) const {
  return *this + getAffineConstantExpr(v, getContext());
}
AffineExpr AffineExpr::operator+(AffineExpr other) const {
  if (auto simplified = simplifyAdd(*this, other))
    return simplified;

  StorageUniquer &uniquer = getContext()->getAffineUniquer();
  return uniquer.get<AffineBinaryOpExprStorage>(
      /*initFn=*/{}, static_cast<unsigned>(AffineExprKind::Add), *this, other);
}

/// Simplify a multiply expression. Return nullptr if it can't be simplified.
static AffineExpr simplifyMul(AffineExpr lhs, AffineExpr rhs) {
  auto lhsConst = lhs.dyn_cast<AffineConstantExpr>();
  auto rhsConst = rhs.dyn_cast<AffineConstantExpr>();

  if (lhsConst && rhsConst)
    return getAffineConstantExpr(lhsConst.getValue() * rhsConst.getValue(),
                                 lhs.getContext());

  assert(lhs.isSymbolicOrConstant() || rhs.isSymbolicOrConstant());

  // Canonicalize the mul expression so that the constant/symbolic term is the
  // RHS. If both the lhs and rhs are symbolic, swap them if the lhs is a
  // constant. (Note that a constant is trivially symbolic).
  if (!rhs.isSymbolicOrConstant() || lhs.isa<AffineConstantExpr>()) {
    // At least one of them has to be symbolic.
    return rhs * lhs;
  }

  // At this point, if there was a constant, it would be on the right.

  // Multiplication with a one is a noop, return the other input.
  if (rhsConst) {
    if (rhsConst.getValue() == 1)
      return lhs;
    // Multiplication with zero.
    if (rhsConst.getValue() == 0)
      return rhsConst;
  }

  // Fold successive multiplications: eg: (d0 * 2) * 3 into d0 * 6.
  auto lBin = lhs.dyn_cast<AffineBinaryOpExpr>();
  if (lBin && rhsConst && lBin.getKind() == AffineExprKind::Mul) {
    if (auto lrhs = lBin.getRHS().dyn_cast<AffineConstantExpr>())
      return lBin.getLHS() * (lrhs.getValue() * rhsConst.getValue());
  }

  // When doing successive multiplication, bring constant to the right: turn (d0
  // * 2) * d1 into (d0 * d1) * 2.
  if (lBin && lBin.getKind() == AffineExprKind::Mul) {
    if (auto lrhs = lBin.getRHS().dyn_cast<AffineConstantExpr>()) {
      return (lBin.getLHS() * rhs) * lrhs;
    }
  }

  return nullptr;
}

AffineExpr AffineExpr::operator*(int64_t v) const {
  return *this * getAffineConstantExpr(v, getContext());
}
AffineExpr AffineExpr::operator*(AffineExpr other) const {
  if (auto simplified = simplifyMul(*this, other))
    return simplified;

  StorageUniquer &uniquer = getContext()->getAffineUniquer();
  return uniquer.get<AffineBinaryOpExprStorage>(
      /*initFn=*/{}, static_cast<unsigned>(AffineExprKind::Mul), *this, other);
}

// Unary minus, delegate to operator*.
AffineExpr AffineExpr::operator-() const {
  return *this * getAffineConstantExpr(-1, getContext());
}

// Delegate to operator+.
AffineExpr AffineExpr::operator-(int64_t v) const { return *this + (-v); }
AffineExpr AffineExpr::operator-(AffineExpr other) const {
  return *this + (-other);
}

static AffineExpr simplifyFloorDiv(AffineExpr lhs, AffineExpr rhs) {
  auto lhsConst = lhs.dyn_cast<AffineConstantExpr>();
  auto rhsConst = rhs.dyn_cast<AffineConstantExpr>();

  if (!rhsConst || rhsConst.getValue() < 1)
    return nullptr;

  if (lhsConst)
    return getAffineConstantExpr(
        floorDiv(lhsConst.getValue(), rhsConst.getValue()), lhs.getContext());

  // Fold floordiv of a multiply with a constant that is a multiple of the
  // divisor. Eg: (i * 128) floordiv 64 = i * 2.
  if (rhsConst.getValue() == 1)
    return lhs;

  auto lBin = lhs.dyn_cast<AffineBinaryOpExpr>();
  if (lBin && lBin.getKind() == AffineExprKind::Mul) {
    if (auto lrhs = lBin.getRHS().dyn_cast<AffineConstantExpr>()) {
      // rhsConst is known to be positive if a constant.
      if (lrhs.getValue() % rhsConst.getValue() == 0)
        return lBin.getLHS() * (lrhs.getValue() / rhsConst.getValue());
    }
  }

  return nullptr;
}

AffineExpr AffineExpr::floorDiv(uint64_t v) const {
  return floorDiv(getAffineConstantExpr(v, getContext()));
}
AffineExpr AffineExpr::floorDiv(AffineExpr other) const {
  if (auto simplified = simplifyFloorDiv(*this, other))
    return simplified;

  StorageUniquer &uniquer = getContext()->getAffineUniquer();
  return uniquer.get<AffineBinaryOpExprStorage>(
      /*initFn=*/{}, static_cast<unsigned>(AffineExprKind::FloorDiv), *this,
      other);
}

static AffineExpr simplifyCeilDiv(AffineExpr lhs, AffineExpr rhs) {
  auto lhsConst = lhs.dyn_cast<AffineConstantExpr>();
  auto rhsConst = rhs.dyn_cast<AffineConstantExpr>();

  if (!rhsConst || rhsConst.getValue() < 1)
    return nullptr;

  if (lhsConst)
    return getAffineConstantExpr(
        ceilDiv(lhsConst.getValue(), rhsConst.getValue()), lhs.getContext());

  // Fold ceildiv of a multiply with a constant that is a multiple of the
  // divisor. Eg: (i * 128) ceildiv 64 = i * 2.
  if (rhsConst.getValue() == 1)
    return lhs;

  auto lBin = lhs.dyn_cast<AffineBinaryOpExpr>();
  if (lBin && lBin.getKind() == AffineExprKind::Mul) {
    if (auto lrhs = lBin.getRHS().dyn_cast<AffineConstantExpr>()) {
      // rhsConst is known to be positive if a constant.
      if (lrhs.getValue() % rhsConst.getValue() == 0)
        return lBin.getLHS() * (lrhs.getValue() / rhsConst.getValue());
    }
  }

  return nullptr;
}

AffineExpr AffineExpr::ceilDiv(uint64_t v) const {
  return ceilDiv(getAffineConstantExpr(v, getContext()));
}
AffineExpr AffineExpr::ceilDiv(AffineExpr other) const {
  if (auto simplified = simplifyCeilDiv(*this, other))
    return simplified;

  StorageUniquer &uniquer = getContext()->getAffineUniquer();
  return uniquer.get<AffineBinaryOpExprStorage>(
      /*initFn=*/{}, static_cast<unsigned>(AffineExprKind::CeilDiv), *this,
      other);
}

static AffineExpr simplifyMod(AffineExpr lhs, AffineExpr rhs) {
  auto lhsConst = lhs.dyn_cast<AffineConstantExpr>();
  auto rhsConst = rhs.dyn_cast<AffineConstantExpr>();

  if (!rhsConst || rhsConst.getValue() < 1)
    return nullptr;

  if (lhsConst)
    return getAffineConstantExpr(mod(lhsConst.getValue(), rhsConst.getValue()),
                                 lhs.getContext());

  // Fold modulo of an expression that is known to be a multiple of a constant
  // to zero if that constant is a multiple of the modulo factor. Eg: (i * 128)
  // mod 64 is folded to 0, and less trivially, (i*(j*4*(k*32))) mod 128 = 0.
  if (lhs.getLargestKnownDivisor() % rhsConst.getValue() == 0)
    return getAffineConstantExpr(0, lhs.getContext());

  return nullptr;
  // TODO(bondhugula): In general, this can be simplified more by using the GCD
  // test, or in general using quantifier elimination (add two new variables q
  // and r, and eliminate all variables from the linear system other than r. All
  // of this can be done through mlir/Analysis/'s FlatAffineConstraints.
}

AffineExpr AffineExpr::operator%(uint64_t v) const {
  return *this % getAffineConstantExpr(v, getContext());
}
AffineExpr AffineExpr::operator%(AffineExpr other) const {
  if (auto simplified = simplifyMod(*this, other))
    return simplified;

  StorageUniquer &uniquer = getContext()->getAffineUniquer();
  return uniquer.get<AffineBinaryOpExprStorage>(
      /*initFn=*/{}, static_cast<unsigned>(AffineExprKind::Mod), *this, other);
}

AffineExpr AffineExpr::compose(AffineMap map) const {
  SmallVector<AffineExpr, 8> dimReplacements(map.getResults().begin(),
                                             map.getResults().end());
  return replaceDimsAndSymbols(dimReplacements, {});
}
raw_ostream &mlir::operator<<(raw_ostream &os, AffineExpr &expr) {
  expr.print(os);
  return os;
}

/// Constructs an affine expression from a flat ArrayRef. If there are local
/// identifiers (neither dimensional nor symbolic) that appear in the sum of
/// products expression, 'localExprs' is expected to have the AffineExpr
/// for it, and is substituted into. The ArrayRef 'eq' is expected to be in the
/// format [dims, symbols, locals, constant term].
AffineExpr mlir::toAffineExpr(ArrayRef<int64_t> eq, unsigned numDims,
                              unsigned numSymbols,
                              ArrayRef<AffineExpr> localExprs,
                              MLIRContext *context) {
  // Assert expected numLocals = eq.size() - numDims - numSymbols - 1
  assert(eq.size() - numDims - numSymbols - 1 == localExprs.size() &&
         "unexpected number of local expressions");

  auto expr = getAffineConstantExpr(0, context);
  // Dimensions and symbols.
  for (unsigned j = 0; j < numDims + numSymbols; j++) {
    if (eq[j] == 0) {
      continue;
    }
    auto id = j < numDims ? getAffineDimExpr(j, context)
                          : getAffineSymbolExpr(j - numDims, context);
    expr = expr + id * eq[j];
  }

  // Local identifiers.
  for (unsigned j = numDims + numSymbols, e = eq.size() - 1; j < e; j++) {
    if (eq[j] == 0) {
      continue;
    }
    auto term = localExprs[j - numDims - numSymbols] * eq[j];
    expr = expr + term;
  }

  // Constant term.
  int64_t constTerm = eq[eq.size() - 1];
  if (constTerm != 0)
    expr = expr + constTerm;
  return expr;
}

SimpleAffineExprFlattener::SimpleAffineExprFlattener(unsigned numDims,
                                                     unsigned numSymbols)
    : numDims(numDims), numSymbols(numSymbols), numLocals(0) {
  operandExprStack.reserve(8);
}

void SimpleAffineExprFlattener::visitMulExpr(AffineBinaryOpExpr expr) {
  assert(operandExprStack.size() >= 2);
  // This is a pure affine expr; the RHS will be a constant.
  assert(expr.getRHS().isa<AffineConstantExpr>());
  // Get the RHS constant.
  auto rhsConst = operandExprStack.back()[getConstantIndex()];
  operandExprStack.pop_back();
  // Update the LHS in place instead of pop and push.
  auto &lhs = operandExprStack.back();
  for (unsigned i = 0, e = lhs.size(); i < e; i++) {
    lhs[i] *= rhsConst;
  }
}

void SimpleAffineExprFlattener::visitAddExpr(AffineBinaryOpExpr expr) {
  assert(operandExprStack.size() >= 2);
  const auto &rhs = operandExprStack.back();
  auto &lhs = operandExprStack[operandExprStack.size() - 2];
  assert(lhs.size() == rhs.size());
  // Update the LHS in place.
  for (unsigned i = 0, e = rhs.size(); i < e; i++) {
    lhs[i] += rhs[i];
  }
  // Pop off the RHS.
  operandExprStack.pop_back();
}

//
// t = expr mod c   <=>  t = expr - c*q and c*q <= expr <= c*q + c - 1
//
// A mod expression "expr mod c" is thus flattened by introducing a new local
// variable q (= expr floordiv c), such that expr mod c is replaced with
// 'expr - c * q' and c * q <= expr <= c * q + c - 1 are added to localVarCst.
void SimpleAffineExprFlattener::visitModExpr(AffineBinaryOpExpr expr) {
  assert(operandExprStack.size() >= 2);
  // This is a pure affine expr; the RHS will be a constant.
  assert(expr.getRHS().isa<AffineConstantExpr>());
  auto rhsConst = operandExprStack.back()[getConstantIndex()];
  operandExprStack.pop_back();
  auto &lhs = operandExprStack.back();
  // TODO(bondhugula): handle modulo by zero case when this issue is fixed
  // at the other places in the IR.
  assert(rhsConst > 0 && "RHS constant has to be positive");

  // Check if the LHS expression is a multiple of modulo factor.
  unsigned i, e;
  for (i = 0, e = lhs.size(); i < e; i++)
    if (lhs[i] % rhsConst != 0)
      break;
  // If yes, modulo expression here simplifies to zero.
  if (i == lhs.size()) {
    std::fill(lhs.begin(), lhs.end(), 0);
    return;
  }

  // Add a local variable for the quotient, i.e., expr % c is replaced by
  // (expr - q * c) where q = expr floordiv c. Do this while canceling out
  // the GCD of expr and c.
  SmallVector<int64_t, 8> floorDividend(lhs);
  uint64_t gcd = rhsConst;
  for (unsigned i = 0, e = lhs.size(); i < e; i++)
    gcd = llvm::GreatestCommonDivisor64(gcd, std::abs(lhs[i]));
  // Simplify the numerator and the denominator.
  if (gcd != 1) {
    for (unsigned i = 0, e = floorDividend.size(); i < e; i++)
      floorDividend[i] = floorDividend[i] / static_cast<int64_t>(gcd);
  }
  int64_t floorDivisor = rhsConst / static_cast<int64_t>(gcd);

  // Construct the AffineExpr form of the floordiv to store in localExprs.
  MLIRContext *context = expr.getContext();
  auto dividendExpr =
      toAffineExpr(floorDividend, numDims, numSymbols, localExprs, context);
  auto divisorExpr = getAffineConstantExpr(floorDivisor, context);
  auto floorDivExpr = dividendExpr.floorDiv(divisorExpr);
  int loc;
  if ((loc = findLocalId(floorDivExpr)) == -1) {
    addLocalFloorDivId(floorDividend, floorDivisor, floorDivExpr);
    // Set result at top of stack to "lhs - rhsConst * q".
    lhs[getLocalVarStartIndex() + numLocals - 1] = -rhsConst;
  } else {
    // Reuse the existing local id.
    lhs[getLocalVarStartIndex() + loc] = -rhsConst;
  }
}

void SimpleAffineExprFlattener::visitCeilDivExpr(AffineBinaryOpExpr expr) {
  visitDivExpr(expr, /*isCeil=*/true);
}
void SimpleAffineExprFlattener::visitFloorDivExpr(AffineBinaryOpExpr expr) {
  visitDivExpr(expr, /*isCeil=*/false);
}

void SimpleAffineExprFlattener::visitDimExpr(AffineDimExpr expr) {
  operandExprStack.emplace_back(SmallVector<int64_t, 32>(getNumCols(), 0));
  auto &eq = operandExprStack.back();
  assert(expr.getPosition() < numDims && "Inconsistent number of dims");
  eq[getDimStartIndex() + expr.getPosition()] = 1;
}

void SimpleAffineExprFlattener::visitSymbolExpr(AffineSymbolExpr expr) {
  operandExprStack.emplace_back(SmallVector<int64_t, 32>(getNumCols(), 0));
  auto &eq = operandExprStack.back();
  assert(expr.getPosition() < numSymbols && "inconsistent number of symbols");
  eq[getSymbolStartIndex() + expr.getPosition()] = 1;
}

void SimpleAffineExprFlattener::visitConstantExpr(AffineConstantExpr expr) {
  operandExprStack.emplace_back(SmallVector<int64_t, 32>(getNumCols(), 0));
  auto &eq = operandExprStack.back();
  eq[getConstantIndex()] = expr.getValue();
}

// t = expr floordiv c   <=> t = q, c * q <= expr <= c * q + c - 1
// A floordiv is thus flattened by introducing a new local variable q, and
// replacing that expression with 'q' while adding the constraints
// c * q <= expr <= c * q + c - 1 to localVarCst (done by
// FlatAffineConstraints::addLocalFloorDiv).
//
// A ceildiv is similarly flattened:
// t = expr ceildiv c   <=> t =  (expr + c - 1) floordiv c
void SimpleAffineExprFlattener::visitDivExpr(AffineBinaryOpExpr expr,
                                             bool isCeil) {
  assert(operandExprStack.size() >= 2);
  assert(expr.getRHS().isa<AffineConstantExpr>());

  // This is a pure affine expr; the RHS is a positive constant.
  int64_t rhsConst = operandExprStack.back()[getConstantIndex()];
  // TODO(bondhugula): handle division by zero at the same time the issue is
  // fixed at other places.
  assert(rhsConst > 0 && "RHS constant has to be positive");
  operandExprStack.pop_back();
  auto &lhs = operandExprStack.back();

  // Simplify the floordiv, ceildiv if possible by canceling out the greatest
  // common divisors of the numerator and denominator.
  uint64_t gcd = std::abs(rhsConst);
  for (unsigned i = 0, e = lhs.size(); i < e; i++)
    gcd = llvm::GreatestCommonDivisor64(gcd, std::abs(lhs[i]));
  // Simplify the numerator and the denominator.
  if (gcd != 1) {
    for (unsigned i = 0, e = lhs.size(); i < e; i++)
      lhs[i] = lhs[i] / static_cast<int64_t>(gcd);
  }
  int64_t divisor = rhsConst / static_cast<int64_t>(gcd);
  // If the divisor becomes 1, the updated LHS is the result. (The
  // divisor can't be negative since rhsConst is positive).
  if (divisor == 1)
    return;

  // If the divisor cannot be simplified to one, we will have to retain
  // the ceil/floor expr (simplified up until here). Add an existential
  // quantifier to express its result, i.e., expr1 div expr2 is replaced
  // by a new identifier, q.
  MLIRContext *context = expr.getContext();
  auto a = toAffineExpr(lhs, numDims, numSymbols, localExprs, context);
  auto b = getAffineConstantExpr(divisor, context);

  int loc;
  auto divExpr = isCeil ? a.ceilDiv(b) : a.floorDiv(b);
  if ((loc = findLocalId(divExpr)) == -1) {
    if (!isCeil) {
      SmallVector<int64_t, 8> dividend(lhs);
      addLocalFloorDivId(dividend, divisor, divExpr);
    } else {
      // lhs ceildiv c <=>  (lhs + c - 1) floordiv c
      SmallVector<int64_t, 8> dividend(lhs);
      dividend.back() += divisor - 1;
      addLocalFloorDivId(dividend, divisor, divExpr);
    }
  }
  // Set the expression on stack to the local var introduced to capture the
  // result of the division (floor or ceil).
  std::fill(lhs.begin(), lhs.end(), 0);
  if (loc == -1)
    lhs[getLocalVarStartIndex() + numLocals - 1] = 1;
  else
    lhs[getLocalVarStartIndex() + loc] = 1;
}

// Add a local identifier (needed to flatten a mod, floordiv, ceildiv expr).
// The local identifier added is always a floordiv of a pure add/mul affine
// function of other identifiers, coefficients of which are specified in
// dividend and with respect to a positive constant divisor. localExpr is the
// simplified tree expression (AffineExpr) corresponding to the quantifier.
void SimpleAffineExprFlattener::addLocalFloorDivId(ArrayRef<int64_t> dividend,
                                                   int64_t divisor,
                                                   AffineExpr localExpr) {
  assert(divisor > 0 && "positive constant divisor expected");
  for (auto &subExpr : operandExprStack)
    subExpr.insert(subExpr.begin() + getLocalVarStartIndex() + numLocals, 0);
  localExprs.push_back(localExpr);
  numLocals++;
  // dividend and divisor are not used here; an override of this method uses it.
}

int SimpleAffineExprFlattener::findLocalId(AffineExpr localExpr) {
  SmallVectorImpl<AffineExpr>::iterator it;
  if ((it = llvm::find(localExprs, localExpr)) == localExprs.end())
    return -1;
  return it - localExprs.begin();
}

/// Simplify the affine expression by flattening it and reconstructing it.
AffineExpr mlir::simplifyAffineExpr(AffineExpr expr, unsigned numDims,
                                    unsigned numSymbols) {
  // TODO(bondhugula): only pure affine for now. The simplification here can
  // be extended to semi-affine maps in the future.
  if (!expr.isPureAffine())
    return expr;

  SimpleAffineExprFlattener flattener(numDims, numSymbols);
  flattener.walkPostOrder(expr);
  ArrayRef<int64_t> flattenedExpr = flattener.operandExprStack.back();
  auto simplifiedExpr = toAffineExpr(flattenedExpr, numDims, numSymbols,
                                     flattener.localExprs, expr.getContext());
  flattener.operandExprStack.pop_back();
  assert(flattener.operandExprStack.empty());

  return simplifiedExpr;
}

// Flattens the expressions in map. Returns true on success or false
// if 'expr' was unable to be flattened (i.e., semi-affine expressions not
// handled yet).
static bool getFlattenedAffineExprs(
    ArrayRef<AffineExpr> exprs, unsigned numDims, unsigned numSymbols,
    std::vector<llvm::SmallVector<int64_t, 8>> *flattenedExprs) {
  if (exprs.empty()) {
    return true;
  }

  SimpleAffineExprFlattener flattener(numDims, numSymbols);
  // Use the same flattener to simplify each expression successively. This way
  // local identifiers / expressions are shared.
  for (auto expr : exprs) {
    if (!expr.isPureAffine())
      return false;

    flattener.walkPostOrder(expr);
  }

  flattenedExprs->clear();
  assert(flattener.operandExprStack.size() == exprs.size());
  flattenedExprs->assign(flattener.operandExprStack.begin(),
                         flattener.operandExprStack.end());

  return true;
}

// Flattens 'expr' into 'flattenedExpr'. Returns true on success or false
// if 'expr' was unable to be flattened (semi-affine expressions not handled
// yet).
bool mlir::getFlattenedAffineExpr(
    AffineExpr expr, unsigned numDims, unsigned numSymbols,
    llvm::SmallVectorImpl<int64_t> *flattenedExpr) {
  std::vector<SmallVector<int64_t, 8>> flattenedExprs;
  bool ret =
      ::getFlattenedAffineExprs({expr}, numDims, numSymbols, &flattenedExprs);
  *flattenedExpr = flattenedExprs[0];
  return ret;
}

/// Flattens the expressions in map. Returns true on success or false
/// if 'expr' was unable to be flattened (i.e., semi-affine expressions not
/// handled yet).
bool mlir::getFlattenedAffineExprs(
    AffineMap map, std::vector<llvm::SmallVector<int64_t, 8>> *flattenedExprs) {
  if (map.getNumResults() == 0) {
    return true;
  }
  return ::getFlattenedAffineExprs(map.getResults(), map.getNumDims(),
                                   map.getNumSymbols(), flattenedExprs);
}

bool mlir::getFlattenedAffineExprs(
    IntegerSet set,
    std::vector<llvm::SmallVector<int64_t, 8>> *flattenedExprs) {
  if (set.getNumConstraints() == 0) {
    return true;
  }
  return ::getFlattenedAffineExprs(set.getConstraints(), set.getNumDims(),
                                   set.getNumSymbols(), flattenedExprs);
}