PatternMatch.h

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//===- PatternMatch.h - PatternMatcher classes -------==---------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
 
#ifndef MLIR_IR_PATTERNMATCH_H
#define MLIR_IR_PATTERNMATCH_H
 
#include "mlir/IR/Builders.h"
#include "mlir/IR/BuiltinOps.h"
#include "llvm/ADT/FunctionExtras.h"
#include "llvm/Support/TypeName.h"
 
namespace mlir {
 
class PatternRewriter;
 
//===----------------------------------------------------------------------===//
// PatternBenefit class
//===----------------------------------------------------------------------===//
 
/// This class represents the benefit of a pattern match in a unitless scheme
/// that ranges from 0 (very little benefit) to 65K.  The most common unit to
/// use here is the "number of operations matched" by the pattern.
///
/// This also has a sentinel representation that can be used for patterns that
/// fail to match.
///
class PatternBenefit {
  enum { ImpossibleToMatchSentinel = 65535 };
 
public:
  PatternBenefit() = default;
  PatternBenefit(unsigned benefit);
  PatternBenefit(const PatternBenefit &) = default;
  PatternBenefit &operator=(const PatternBenefit &) = default;
 
  static PatternBenefit impossibleToMatch() { return PatternBenefit(); }
  bool isImpossibleToMatch() const { return *this == impossibleToMatch(); }
 
  /// If the corresponding pattern can match, return its benefit.  If the
  // corresponding pattern isImpossibleToMatch() then this aborts.
  unsigned short getBenefit() const;
 
  bool operator==(const PatternBenefit &rhs) const {
    return representation == rhs.representation;
  }
  bool operator!=(const PatternBenefit &rhs) const { return !(*this == rhs); }
  bool operator<(const PatternBenefit &rhs) const {
    return representation < rhs.representation;
  }
  bool operator>(const PatternBenefit &rhs) const { return rhs < *this; }
  bool operator<=(const PatternBenefit &rhs) const { return !(*this > rhs); }
  bool operator>=(const PatternBenefit &rhs) const { return !(*this < rhs); }
 
private:
  unsigned short representation{ImpossibleToMatchSentinel};
};
 
//===----------------------------------------------------------------------===//
// Pattern
//===----------------------------------------------------------------------===//
 
/// This class contains all of the data related to a pattern, but does not
/// contain any methods or logic for the actual matching. This class is solely
/// used to interface with the metadata of a pattern, such as the benefit or
/// root operation.
class Pattern {
  /// This enum represents the kind of value used to select the root operations
  /// that match this pattern.
  enum class RootKind {
    /// The pattern root matches "any" operation.
    Any,
    /// The pattern root is matched using a concrete operation name.
    OperationName,
    /// The pattern root is matched using an interface ID.
    InterfaceID,
    /// The patter root is matched using a trait ID.
    TraitID
  };
 
public:
  /// Return a list of operations that may be generated when rewriting an
  /// operation instance with this pattern.
  ArrayRef<OperationName> getGeneratedOps() const { return generatedOps; }
 
  /// Return the root node that this pattern matches. Patterns that can match
  /// multiple root types return None.
  Optional<OperationName> getRootKind() const {
    if (rootKind == RootKind::OperationName)
      return OperationName::getFromOpaquePointer(rootValue);
    return llvm::None;
  }
 
  /// Return the interface ID used to match the root operation of this pattern.
  /// If the pattern does not use an interface ID for deciding the root match,
  /// this returns None.
  Optional<TypeID> getRootInterfaceID() const {
    if (rootKind == RootKind::InterfaceID)
      return TypeID::getFromOpaquePointer(rootValue);
    return llvm::None;
  }
 
  /// Return the trait ID used to match the root operation of this pattern.
  /// If the pattern does not use a trait ID for deciding the root match, this
  /// returns None.
  Optional<TypeID> getRootTraitID() const {
    if (rootKind == RootKind::TraitID)
      return TypeID::getFromOpaquePointer(rootValue);
    return llvm::None;
  }
 
  /// Return the benefit (the inverse of "cost") of matching this pattern.  The
  /// benefit of a Pattern is always static - rewrites that may have dynamic
  /// benefit can be instantiated multiple times (different Pattern instances)
  /// for each benefit that they may return, and be guarded by different match
  /// condition predicates.
  PatternBenefit getBenefit() const { return benefit; }
 
  /// Returns true if this pattern is known to result in recursive application,
  /// i.e. this pattern may generate IR that also matches this pattern, but is
  /// known to bound the recursion. This signals to a rewrite driver that it is
  /// safe to apply this pattern recursively to generated IR.
  bool hasBoundedRewriteRecursion() const {
    return contextAndHasBoundedRecursion.getInt();
  }
 
  /// Return the MLIRContext used to create this pattern.
  MLIRContext *getContext() const {
    return contextAndHasBoundedRecursion.getPointer();
  }
 
  /// Return a readable name for this pattern. This name should only be used for
  /// debugging purposes, and may be empty.
  StringRef getDebugName() const { return debugName; }
 
  /// Set the human readable debug name used for this pattern. This name will
  /// only be used for debugging purposes.
  void setDebugName(StringRef name) { debugName = name; }
 
  /// Return the set of debug labels attached to this pattern.
  ArrayRef<StringRef> getDebugLabels() const { return debugLabels; }
 
  /// Add the provided debug labels to this pattern.
  void addDebugLabels(ArrayRef<StringRef> labels) {
    debugLabels.append(labels.begin(), labels.end());
  }
  void addDebugLabels(StringRef label) { debugLabels.push_back(label); }
 
protected:
  /// This class acts as a special tag that makes the desire to match "any"
  /// operation type explicit. This helps to avoid unnecessary usages of this
  /// feature, and ensures that the user is making a conscious decision.
  struct MatchAnyOpTypeTag {};
  /// This class acts as a special tag that makes the desire to match any
  /// operation that implements a given interface explicit. This helps to avoid
  /// unnecessary usages of this feature, and ensures that the user is making a
  /// conscious decision.
  struct MatchInterfaceOpTypeTag {};
  /// This class acts as a special tag that makes the desire to match any
  /// operation that implements a given trait explicit. This helps to avoid
  /// unnecessary usages of this feature, and ensures that the user is making a
  /// conscious decision.
  struct MatchTraitOpTypeTag {};
 
  /// Construct a pattern with a certain benefit that matches the operation
  /// with the given root name.
  Pattern(StringRef rootName, PatternBenefit benefit, MLIRContext *context,
          ArrayRef<StringRef> generatedNames = {});
  /// Construct a pattern that may match any operation type. `generatedNames`
  /// contains the names of operations that may be generated during a successful
  /// rewrite. `MatchAnyOpTypeTag` is just a tag to ensure that the "match any"
  /// behavior is what the user actually desired, `MatchAnyOpTypeTag()` should
  /// always be supplied here.
  Pattern(MatchAnyOpTypeTag tag, PatternBenefit benefit, MLIRContext *context,
          ArrayRef<StringRef> generatedNames = {});
  /// Construct a pattern that may match any operation that implements the
  /// interface defined by the provided `interfaceID`. `generatedNames` contains
  /// the names of operations that may be generated during a successful rewrite.
  /// `MatchInterfaceOpTypeTag` is just a tag to ensure that the "match
  /// interface" behavior is what the user actually desired,
  /// `MatchInterfaceOpTypeTag()` should always be supplied here.
  Pattern(MatchInterfaceOpTypeTag tag, TypeID interfaceID,
          PatternBenefit benefit, MLIRContext *context,
          ArrayRef<StringRef> generatedNames = {});
  /// Construct a pattern that may match any operation that implements the
  /// trait defined by the provided `traitID`. `generatedNames` contains the
  /// names of operations that may be generated during a successful rewrite.
  /// `MatchTraitOpTypeTag` is just a tag to ensure that the "match trait"
  /// behavior is what the user actually desired, `MatchTraitOpTypeTag()` should
  /// always be supplied here.
  Pattern(MatchTraitOpTypeTag tag, TypeID traitID, PatternBenefit benefit,
          MLIRContext *context, ArrayRef<StringRef> generatedNames = {});
 
  /// Set the flag detailing if this pattern has bounded rewrite recursion or
  /// not.
  void setHasBoundedRewriteRecursion(bool hasBoundedRecursionArg = true) {
    contextAndHasBoundedRecursion.setInt(hasBoundedRecursionArg);
  }
 
private:
  Pattern(const void *rootValue, RootKind rootKind,
          ArrayRef<StringRef> generatedNames, PatternBenefit benefit,
          MLIRContext *context);
 
  /// The value used to match the root operation of the pattern.
  const void *rootValue;
  RootKind rootKind;
 
  /// The expected benefit of matching this pattern.
  const PatternBenefit benefit;
 
  /// The context this pattern was created from, and a boolean flag indicating
  /// whether this pattern has bounded recursion or not.
  llvm::PointerIntPair<MLIRContext *, 1, bool> contextAndHasBoundedRecursion;
 
  /// A list of the potential operations that may be generated when rewriting
  /// an op with this pattern.
  SmallVector<OperationName, 2> generatedOps;
 
  /// A readable name for this pattern. May be empty.
  StringRef debugName;
 
  /// The set of debug labels attached to this pattern.
  SmallVector<StringRef, 0> debugLabels;
};
 
//===----------------------------------------------------------------------===//
// RewritePattern
//===----------------------------------------------------------------------===//
 
/// RewritePattern is the common base class for all DAG to DAG replacements.
/// There are two possible usages of this class:
///   * Multi-step RewritePattern with "match" and "rewrite"
///     - By overloading the "match" and "rewrite" functions, the user can
///       separate the concerns of matching and rewriting.
///   * Single-step RewritePattern with "matchAndRewrite"
///     - By overloading the "matchAndRewrite" function, the user can perform
///       the rewrite in the same call as the match.
///
class RewritePattern : public Pattern {
public:
  virtual ~RewritePattern() = default;
 
  /// Rewrite the IR rooted at the specified operation with the result of
  /// this pattern, generating any new operations with the specified
  /// builder.  If an unexpected error is encountered (an internal
  /// compiler error), it is emitted through the normal MLIR diagnostic
  /// hooks and the IR is left in a valid state.
  virtual void rewrite(Operation *op, PatternRewriter &rewriter) const;
 
  /// Attempt to match against code rooted at the specified operation,
  /// which is the same operation code as getRootKind().
  virtual LogicalResult match(Operation *op) const;
 
  /// Attempt to match against code rooted at the specified operation,
  /// which is the same operation code as getRootKind(). If successful, this
  /// function will automatically perform the rewrite.
  virtual LogicalResult matchAndRewrite(Operation *op,
                                        PatternRewriter &rewriter) const {
    if (succeeded(match(op))) {
      rewrite(op, rewriter);
      return success();
    }
    return failure();
  }
 
  /// This method provides a convenient interface for creating and initializing
  /// derived rewrite patterns of the given type `T`.
  template <typename T, typename... Args>
  static std::unique_ptr<T> create(Args &&...args) {
    std::unique_ptr<T> pattern =
        std::make_unique<T>(std::forward<Args>(args)...);
    initializePattern<T>(*pattern);
 
    // Set a default debug name if one wasn't provided.
    if (pattern->getDebugName().empty())
      pattern->setDebugName(llvm::getTypeName<T>());
    return pattern;
  }
 
protected:
  /// Inherit the base constructors from `Pattern`.
  using Pattern::Pattern;
 
private:
  /// Trait to check if T provides a `getOperationName` method.
  template <typename T, typename... Args>
  using has_initialize = decltype(std::declval<T>().initialize());
  template <typename T>
  using detect_has_initialize = llvm::is_detected<has_initialize, T>;
 
  /// Initialize the derived pattern by calling its `initialize` method.
  template <typename T>
  static std::enable_if_t<detect_has_initialize<T>::value>
  initializePattern(T &pattern) {
    pattern.initialize();
  }
  /// Empty derived pattern initializer for patterns that do not have an
  /// initialize method.
  template <typename T>
  static std::enable_if_t<!detect_has_initialize<T>::value>
  initializePattern(T &) {}
 
  /// An anchor for the virtual table.
  virtual void anchor();
};
 
namespace detail {
/// OpOrInterfaceRewritePatternBase is a wrapper around RewritePattern that
/// allows for matching and rewriting against an instance of a derived operation
/// class or Interface.
template <typename SourceOp>
struct OpOrInterfaceRewritePatternBase : public RewritePattern {
  using RewritePattern::RewritePattern;
 
  /// Wrappers around the RewritePattern methods that pass the derived op type.
  void rewrite(Operation *op, PatternRewriter &rewriter) const final {
    rewrite(cast<SourceOp>(op), rewriter);
  }
  LogicalResult match(Operation *op) const final {
    return match(cast<SourceOp>(op));
  }
  LogicalResult matchAndRewrite(Operation *op,
                                PatternRewriter &rewriter) const final {
    return matchAndRewrite(cast<SourceOp>(op), rewriter);
  }
 
  /// Rewrite and Match methods that operate on the SourceOp type. These must be
  /// overridden by the derived pattern class.
  virtual void rewrite(SourceOp op, PatternRewriter &rewriter) const {
    llvm_unreachable("must override rewrite or matchAndRewrite");
  }
  virtual LogicalResult match(SourceOp op) const {
    llvm_unreachable("must override match or matchAndRewrite");
  }
  virtual LogicalResult matchAndRewrite(SourceOp op,
                                        PatternRewriter &rewriter) const {
    if (succeeded(match(op))) {
      rewrite(op, rewriter);
      return success();
    }
    return failure();
  }
};
} // namespace detail
 
/// OpRewritePattern is a wrapper around RewritePattern that allows for
/// matching and rewriting against an instance of a derived operation class as
/// opposed to a raw Operation.
template <typename SourceOp>
struct OpRewritePattern
    : public detail::OpOrInterfaceRewritePatternBase<SourceOp> {
  /// Patterns must specify the root operation name they match against, and can
  /// also specify the benefit of the pattern matching and a list of generated
  /// ops.
  OpRewritePattern(MLIRContext *context, PatternBenefit benefit = 1,
                   ArrayRef<StringRef> generatedNames = {})
      : detail::OpOrInterfaceRewritePatternBase<SourceOp>(
            SourceOp::getOperationName(), benefit, context, generatedNames) {}
};
 
/// OpInterfaceRewritePattern is a wrapper around RewritePattern that allows for
/// matching and rewriting against an instance of an operation interface instead
/// of a raw Operation.
template <typename SourceOp>
struct OpInterfaceRewritePattern
    : public detail::OpOrInterfaceRewritePatternBase<SourceOp> {
  OpInterfaceRewritePattern(MLIRContext *context, PatternBenefit benefit = 1)
      : detail::OpOrInterfaceRewritePatternBase<SourceOp>(
            Pattern::MatchInterfaceOpTypeTag(), SourceOp::getInterfaceID(),
            benefit, context) {}
};
 
/// OpTraitRewritePattern is a wrapper around RewritePattern that allows for
/// matching and rewriting against instances of an operation that possess a
/// given trait.
template <template <typename> class TraitType>
class OpTraitRewritePattern : public RewritePattern {
public:
  OpTraitRewritePattern(MLIRContext *context, PatternBenefit benefit = 1)
      : RewritePattern(Pattern::MatchTraitOpTypeTag(), TypeID::get<TraitType>(),
                       benefit, context) {}
};
 
//===----------------------------------------------------------------------===//
// RewriterBase
//===----------------------------------------------------------------------===//
 
/// This class coordinates the application of a rewrite on a set of IR,
/// providing a way for clients to track mutations and create new operations.
/// This class serves as a common API for IR mutation between pattern rewrites
/// and non-pattern rewrites, and facilitates the development of shared
/// IR transformation utilities.
class RewriterBase : public OpBuilder, public OpBuilder::Listener {
public:
  /// Move the blocks that belong to "region" before the given position in
  /// another region "parent". The two regions must be different. The caller
  /// is responsible for creating or updating the operation transferring flow
  /// of control to the region and passing it the correct block arguments.
  virtual void inlineRegionBefore(Region &region, Region &parent,
                                  Region::iterator before);
  void inlineRegionBefore(Region &region, Block *before);
 
  /// Clone the blocks that belong to "region" before the given position in
  /// another region "parent". The two regions must be different. The caller is
  /// responsible for creating or updating the operation transferring flow of
  /// control to the region and passing it the correct block arguments.
  virtual void cloneRegionBefore(Region &region, Region &parent,
                                 Region::iterator before,
                                 BlockAndValueMapping &mapping);
  void cloneRegionBefore(Region &region, Region &parent,
                         Region::iterator before);
  void cloneRegionBefore(Region &region, Block *before);
 
  /// This method replaces the uses of the results of `op` with the values in
  /// `newValues` when the provided `functor` returns true for a specific use.
  /// The number of values in `newValues` is required to match the number of
  /// results of `op`. `allUsesReplaced`, if non-null, is set to true if all of
  /// the uses of `op` were replaced. Note that in some rewriters, the given
  /// 'functor' may be stored beyond the lifetime of the rewrite being applied.
  /// As such, the function should not capture by reference and instead use
  /// value capture as necessary.
  virtual void
  replaceOpWithIf(Operation *op, ValueRange newValues, bool *allUsesReplaced,
                  llvm::unique_function<bool(OpOperand &) const> functor);
  void replaceOpWithIf(Operation *op, ValueRange newValues,
                       llvm::unique_function<bool(OpOperand &) const> functor) {
    replaceOpWithIf(op, newValues, /*allUsesReplaced=*/nullptr,
                    std::move(functor));
  }
 
  /// This method replaces the uses of the results of `op` with the values in
  /// `newValues` when a use is nested within the given `block`. The number of
  /// values in `newValues` is required to match the number of results of `op`.
  /// If all uses of this operation are replaced, the operation is erased.
  void replaceOpWithinBlock(Operation *op, ValueRange newValues, Block *block,
                            bool *allUsesReplaced = nullptr);
 
  /// This method replaces the results of the operation with the specified list
  /// of values. The number of provided values must match the number of results
  /// of the operation.
  virtual void replaceOp(Operation *op, ValueRange newValues);
 
  /// Replaces the result op with a new op that is created without verification.
  /// The result values of the two ops must be the same types.
  template <typename OpTy, typename... Args>
  OpTy replaceOpWithNewOp(Operation *op, Args &&...args) {
    auto newOp = create<OpTy>(op->getLoc(), std::forward<Args>(args)...);
    replaceOpWithResultsOfAnotherOp(op, newOp.getOperation());
    return newOp;
  }
 
  /// This method erases an operation that is known to have no uses.
  virtual void eraseOp(Operation *op);
 
  /// This method erases all operations in a block.
  virtual void eraseBlock(Block *block);
 
  /// Merge the operations of block 'source' into the end of block 'dest'.
  /// 'source's predecessors must either be empty or only contain 'dest`.
  /// 'argValues' is used to replace the block arguments of 'source' after
  /// merging.
  virtual void mergeBlocks(Block *source, Block *dest,
                           ValueRange argValues = llvm::None);
 
  // Merge the operations of block 'source' before the operation 'op'. Source
  // block should not have existing predecessors or successors.
  void mergeBlockBefore(Block *source, Operation *op,
                        ValueRange argValues = llvm::None);
 
  /// Split the operations starting at "before" (inclusive) out of the given
  /// block into a new block, and return it.
  virtual Block *splitBlock(Block *block, Block::iterator before);
 
  /// This method is used to notify the rewriter that an in-place operation
  /// modification is about to happen. A call to this function *must* be
  /// followed by a call to either `finalizeRootUpdate` or `cancelRootUpdate`.
  /// This is a minor efficiency win (it avoids creating a new operation and
  /// removing the old one) but also often allows simpler code in the client.
  virtual void startRootUpdate(Operation *op) {}
 
  /// This method is used to signal the end of a root update on the given
  /// operation. This can only be called on operations that were provided to a
  /// call to `startRootUpdate`.
  virtual void finalizeRootUpdate(Operation *op) {}
 
  /// This method cancels a pending root update. This can only be called on
  /// operations that were provided to a call to `startRootUpdate`.
  virtual void cancelRootUpdate(Operation *op) {}
 
  /// This method is a utility wrapper around a root update of an operation. It
  /// wraps calls to `startRootUpdate` and `finalizeRootUpdate` around the given
  /// callable.
  template <typename CallableT>
  void updateRootInPlace(Operation *root, CallableT &&callable) {
    startRootUpdate(root);
    callable();
    finalizeRootUpdate(root);
  }
 
  /// Find uses of `from` and replace it with `to`. It also marks every modified
  /// uses and notifies the rewriter that an in-place operation modification is
  /// about to happen.
  void replaceAllUsesWith(Value from, Value to);
 
  /// Used to notify the rewriter that the IR failed to be rewritten because of
  /// a match failure, and provide a callback to populate a diagnostic with the
  /// reason why the failure occurred. This method allows for derived rewriters
  /// to optionally hook into the reason why a rewrite failed, and display it to
  /// users.
  template <typename CallbackT>
  std::enable_if_t<!std::is_convertible<CallbackT, Twine>::value, LogicalResult>
  notifyMatchFailure(Location loc, CallbackT &&reasonCallback) {
#ifndef NDEBUG
    return notifyMatchFailure(loc,
                              function_ref<void(Diagnostic &)>(reasonCallback));
#else
    return failure();
#endif
  }
  template <typename CallbackT>
  std::enable_if_t<!std::is_convertible<CallbackT, Twine>::value, LogicalResult>
  notifyMatchFailure(Operation *op, CallbackT &&reasonCallback) {
    return notifyMatchFailure(op->getLoc(),
                              function_ref<void(Diagnostic &)>(reasonCallback));
  }
  template <typename ArgT>
  LogicalResult notifyMatchFailure(ArgT &&arg, const Twine &msg) {
    return notifyMatchFailure(std::forward<ArgT>(arg),
                              [&](Diagnostic &diag) { diag << msg; });
  }
  template <typename ArgT>
  LogicalResult notifyMatchFailure(ArgT &&arg, const char *msg) {
    return notifyMatchFailure(std::forward<ArgT>(arg), Twine(msg));
  }
 
protected:
  /// Initialize the builder with this rewriter as the listener.
  explicit RewriterBase(MLIRContext *ctx) : OpBuilder(ctx, /*listener=*/this) {}
  explicit RewriterBase(const OpBuilder &otherBuilder)
      : OpBuilder(otherBuilder) {
    setListener(this);
  }
  ~RewriterBase() override;
 
  /// These are the callback methods that subclasses can choose to implement if
  /// they would like to be notified about certain types of mutations.
 
  /// Notify the rewriter that the specified operation is about to be replaced
  /// with the set of values potentially produced by new operations. This is
  /// called before the uses of the operation have been changed.
  virtual void notifyRootReplaced(Operation *op, ValueRange replacement) {}
 
  /// This is called on an operation that a rewrite is removing, right before
  /// the operation is deleted. At this point, the operation has zero uses.
  virtual void notifyOperationRemoved(Operation *op) {}
 
  /// Notify the rewriter that the pattern failed to match the given operation,
  /// and provide a callback to populate a diagnostic with the reason why the
  /// failure occurred. This method allows for derived rewriters to optionally
  /// hook into the reason why a rewrite failed, and display it to users.
  virtual LogicalResult
  notifyMatchFailure(Location loc,
                     function_ref<void(Diagnostic &)> reasonCallback) {
    return failure();
  }
 
private:
  void operator=(const RewriterBase &) = delete;
  RewriterBase(const RewriterBase &) = delete;
 
  /// 'op' and 'newOp' are known to have the same number of results, replace the
  /// uses of op with uses of newOp.
  void replaceOpWithResultsOfAnotherOp(Operation *op, Operation *newOp);
};
 
//===----------------------------------------------------------------------===//
// IRRewriter
//===----------------------------------------------------------------------===//
 
/// This class coordinates rewriting a piece of IR outside of a pattern rewrite,
/// providing a way to keep track of the mutations made to the IR. This class
/// should only be used in situations where another `RewriterBase` instance,
/// such as a `PatternRewriter`, is not available.
class IRRewriter : public RewriterBase {
public:
  explicit IRRewriter(MLIRContext *ctx) : RewriterBase(ctx) {}
  explicit IRRewriter(const OpBuilder &builder) : RewriterBase(builder) {}
};
 
//===----------------------------------------------------------------------===//
// PatternRewriter
//===----------------------------------------------------------------------===//
 
/// A special type of `RewriterBase` that coordinates the application of a
/// rewrite pattern on the current IR being matched, providing a way to keep
/// track of any mutations made. This class should be used to perform all
/// necessary IR mutations within a rewrite pattern, as the pattern driver may
/// be tracking various state that would be invalidated when a mutation takes
/// place.
class PatternRewriter : public RewriterBase {
public:
  using RewriterBase::RewriterBase;
 
  /// A hook used to indicate if the pattern rewriter can recover from failure
  /// during the rewrite stage of a pattern. For example, if the pattern
  /// rewriter supports rollback, it may progress smoothly even if IR was
  /// changed during the rewrite.
  virtual bool canRecoverFromRewriteFailure() const { return false; }
};
 
//===----------------------------------------------------------------------===//
// PDL Patterns
//===----------------------------------------------------------------------===//
 
//===----------------------------------------------------------------------===//
// PDLValue
 
/// Storage type of byte-code interpreter values. These are passed to constraint
/// functions as arguments.
class PDLValue {
public:
  /// The underlying kind of a PDL value.
  enum class Kind { Attribute, Operation, Type, TypeRange, Value, ValueRange };
 
  /// Construct a new PDL value.
  PDLValue(const PDLValue &other) = default;
  PDLValue(std::nullptr_t = nullptr) {}
  PDLValue(Attribute value)
      : value(value.getAsOpaquePointer()), kind(Kind::Attribute) {}
  PDLValue(Operation *value) : value(value), kind(Kind::Operation) {}
  PDLValue(Type value) : value(value.getAsOpaquePointer()), kind(Kind::Type) {}
  PDLValue(TypeRange *value) : value(value), kind(Kind::TypeRange) {}
  PDLValue(Value value)
      : value(value.getAsOpaquePointer()), kind(Kind::Value) {}
  PDLValue(ValueRange *value) : value(value), kind(Kind::ValueRange) {}
 
  /// Returns true if the type of the held value is `T`.
  template <typename T>
  bool isa() const {
    assert(value && "isa<> used on a null value");
    return kind == getKindOf<T>();
  }
 
  /// Attempt to dynamically cast this value to type `T`, returns null if this
  /// value is not an instance of `T`.
  template <typename T,
            typename ResultT = std::conditional_t<
                std::is_convertible<T, bool>::value, T, Optional<T>>>
  ResultT dyn_cast() const {
    return isa<T>() ? castImpl<T>() : ResultT();
  }
 
  /// Cast this value to type `T`, asserts if this value is not an instance of
  /// `T`.
  template <typename T>
  T cast() const {
    assert(isa<T>() && "expected value to be of type `T`");
    return castImpl<T>();
  }
 
  /// Get an opaque pointer to the value.
  const void *getAsOpaquePointer() const { return value; }
 
  /// Return if this value is null or not.
  explicit operator bool() const { return value; }
 
  /// Return the kind of this value.
  Kind getKind() const { return kind; }
 
  /// Print this value to the provided output stream.
  void print(raw_ostream &os) const;
 
  /// Print the specified value kind to an output stream.
  static void print(raw_ostream &os, Kind kind);
 
private:
  /// Find the index of a given type in a range of other types.
  template <typename...>
  struct index_of_t;
  template <typename T, typename... R>
  struct index_of_t<T, T, R...> : std::integral_constant<size_t, 0> {};
  template <typename T, typename F, typename... R>
  struct index_of_t<T, F, R...>
      : std::integral_constant<size_t, 1 + index_of_t<T, R...>::value> {};
 
  /// Return the kind used for the given T.
  template <typename T>
  static Kind getKindOf() {
    return static_cast<Kind>(index_of_t<T, Attribute, Operation *, Type,
                                        TypeRange, Value, ValueRange>::value);
  }
 
  /// The internal implementation of `cast`, that returns the underlying value
  /// as the given type `T`.
  template <typename T>
  std::enable_if_t<llvm::is_one_of<T, Attribute, Type, Value>::value, T>
  castImpl() const {
    return T::getFromOpaquePointer(value);
  }
  template <typename T>
  std::enable_if_t<llvm::is_one_of<T, TypeRange, ValueRange>::value, T>
  castImpl() const {
    return *reinterpret_cast<T *>(const_cast<void *>(value));
  }
  template <typename T>
  std::enable_if_t<std::is_pointer<T>::value, T> castImpl() const {
    return reinterpret_cast<T>(const_cast<void *>(value));
  }
 
  /// The internal opaque representation of a PDLValue.
  const void *value{nullptr};
  /// The kind of the opaque value.
  Kind kind{Kind::Attribute};
};
 
inline raw_ostream &operator<<(raw_ostream &os, PDLValue value) {
  value.print(os);
  return os;
}
 
inline raw_ostream &operator<<(raw_ostream &os, PDLValue::Kind kind) {
  PDLValue::print(os, kind);
  return os;
}
 
//===----------------------------------------------------------------------===//
// PDLResultList
 
/// The class represents a list of PDL results, returned by a native rewrite
/// method. It provides the mechanism with which to pass PDLValues back to the
/// PDL bytecode.
class PDLResultList {
public:
  /// Push a new Attribute value onto the result list.
  void push_back(Attribute value) { results.push_back(value); }
 
  /// Push a new Operation onto the result list.
  void push_back(Operation *value) { results.push_back(value); }
 
  /// Push a new Type onto the result list.
  void push_back(Type value) { results.push_back(value); }
 
  /// Push a new TypeRange onto the result list.
  void push_back(TypeRange value) {
    // The lifetime of a TypeRange can't be guaranteed, so we'll need to
    // allocate a storage for it.
    llvm::OwningArrayRef<Type> storage(value.size());
    llvm::copy(value, storage.begin());
    allocatedTypeRanges.emplace_back(std::move(storage));
    typeRanges.push_back(allocatedTypeRanges.back());
    results.push_back(&typeRanges.back());
  }
  void push_back(ValueTypeRange<OperandRange> value) {
    typeRanges.push_back(value);
    results.push_back(&typeRanges.back());
  }
  void push_back(ValueTypeRange<ResultRange> value) {
    typeRanges.push_back(value);
    results.push_back(&typeRanges.back());
  }
 
  /// Push a new Value onto the result list.
  void push_back(Value value) { results.push_back(value); }
 
  /// Push a new ValueRange onto the result list.
  void push_back(ValueRange value) {
    // The lifetime of a ValueRange can't be guaranteed, so we'll need to
    // allocate a storage for it.
    llvm::OwningArrayRef<Value> storage(value.size());
    llvm::copy(value, storage.begin());
    allocatedValueRanges.emplace_back(std::move(storage));
    valueRanges.push_back(allocatedValueRanges.back());
    results.push_back(&valueRanges.back());
  }
  void push_back(OperandRange value) {
    valueRanges.push_back(value);
    results.push_back(&valueRanges.back());
  }
  void push_back(ResultRange value) {
    valueRanges.push_back(value);
    results.push_back(&valueRanges.back());
  }
 
protected:
  /// Create a new result list with the expected number of results.
  PDLResultList(unsigned maxNumResults) {
    // For now just reserve enough space for all of the results. We could do
    // separate counts per range type, but it isn't really worth it unless there
    // are a "large" number of results.
    typeRanges.reserve(maxNumResults);
    valueRanges.reserve(maxNumResults);
  }
 
  /// The PDL results held by this list.
  SmallVector<PDLValue> results;
  /// Memory used to store ranges held by the list.
  SmallVector<TypeRange> typeRanges;
  SmallVector<ValueRange> valueRanges;
  /// Memory allocated to store ranges in the result list whose lifetime was
  /// generated in the native function.
  SmallVector<llvm::OwningArrayRef<Type>> allocatedTypeRanges;
  SmallVector<llvm::OwningArrayRef<Value>> allocatedValueRanges;
};
 
//===----------------------------------------------------------------------===//
// PDLPatternConfig
 
/// An individual configuration for a pattern, which can be accessed by native
/// functions via the PDLPatternConfigSet. This allows for injecting additional
/// configuration into PDL patterns that is specific to certain compilation
/// flows.
class PDLPatternConfig {
public:
  virtual ~PDLPatternConfig() = default;
 
  /// Hooks that are invoked at the beginning and end of a rewrite of a matched
  /// pattern. These can be used to setup any specific state necessary for the
  /// rewrite.
  virtual void notifyRewriteBegin(PatternRewriter &rewriter) {}
  virtual void notifyRewriteEnd(PatternRewriter &rewriter) {}
 
  /// Return the TypeID that represents this configuration.
  TypeID getTypeID() const { return id; }
 
protected:
  PDLPatternConfig(TypeID id) : id(id) {}
 
private:
  TypeID id;
};
 
/// This class provides a base class for users implementing a type of pattern
/// configuration.
template <typename T>
class PDLPatternConfigBase : public PDLPatternConfig {
public:
  /// Support LLVM style casting.
  static bool classof(const PDLPatternConfig *config) {
    return config->getTypeID() == getConfigID();
  }
 
  /// Return the type id used for this configuration.
  static TypeID getConfigID() { return TypeID::get<T>(); }
 
protected:
  PDLPatternConfigBase() : PDLPatternConfig(getConfigID()) {}
};
 
/// This class contains a set of configurations for a specific pattern.
/// Configurations are uniqued by TypeID, meaning that only one configuration of
/// each type is allowed.
class PDLPatternConfigSet {
public:
  PDLPatternConfigSet() = default;
 
  /// Construct a set with the given configurations.
  template <typename... ConfigsT>
  PDLPatternConfigSet(ConfigsT &&...configs) {
    (addConfig(std::forward<ConfigsT>(configs)), ...);
  }
 
  /// Get the configuration defined by the given type. Asserts that the
  /// configuration of the provided type exists.
  template <typename T>
  const T &get() const {
    const T *config = tryGet<T>();
    assert(config && "configuration not found");
    return *config;
  }
 
  /// Get the configuration defined by the given type, returns nullptr if the
  /// configuration does not exist.
  template <typename T>
  const T *tryGet() const {
    for (const auto &configIt : configs)
      if (const T *config = dyn_cast<T>(configIt.get()))
        return config;
    return nullptr;
  }
 
  /// Notify the configurations within this set at the beginning or end of a
  /// rewrite of a matched pattern.
  void notifyRewriteBegin(PatternRewriter &rewriter) {
    for (const auto &config : configs)
      config->notifyRewriteBegin(rewriter);
  }
  void notifyRewriteEnd(PatternRewriter &rewriter) {
    for (const auto &config : configs)
      config->notifyRewriteEnd(rewriter);
  }
 
protected:
  /// Add a configuration to the set.
  template <typename T>
  void addConfig(T &&config) {
    assert(!tryGet<std::decay_t<T>>() && "configuration already exists");
    configs.emplace_back(
        std::make_unique<std::decay_t<T>>(std::forward<T>(config)));
  }
 
  /// The set of configurations for this pattern. This uses a vector instead of
  /// a map with the expectation that the number of configurations per set is
  /// small (<= 1).
  SmallVector<std::unique_ptr<PDLPatternConfig>> configs;
};
 
//===----------------------------------------------------------------------===//
// PDLPatternModule
 
/// A generic PDL pattern constraint function. This function applies a
/// constraint to a given set of opaque PDLValue entities. Returns success if
/// the constraint successfully held, failure otherwise.
using PDLConstraintFunction =
    std::function<LogicalResult(PatternRewriter &, ArrayRef<PDLValue>)>;
/// A native PDL rewrite function. This function performs a rewrite on the
/// given set of values. Any results from this rewrite that should be passed
/// back to PDL should be added to the provided result list. This method is only
/// invoked when the corresponding match was successful. Returns failure if an
/// invariant of the rewrite was broken (certain rewriters may recover from
/// partial pattern application).
using PDLRewriteFunction = std::function<LogicalResult(
    PatternRewriter &, PDLResultList &, ArrayRef<PDLValue>)>;
 
namespace detail {
namespace pdl_function_builder {
/// A utility variable that always resolves to false. This is useful for static
/// asserts that are always false, but only should fire in certain templated
/// constructs. For example, if a templated function should never be called, the
/// function could be defined as:
///
/// template <typename T>
/// void foo() {
///  static_assert(always_false<T>, "This function should never be called");
/// }
///
template <class... T>
constexpr bool always_false = false;
 
//===----------------------------------------------------------------------===//
// PDL Function Builder: Type Processing
//===----------------------------------------------------------------------===//
 
/// This struct provides a convenient way to determine how to process a given
/// type as either a PDL parameter, or a result value. This allows for
/// supporting complex types in constraint and rewrite functions, without
/// requiring the user to hand-write the necessary glue code themselves.
/// Specializations of this class should implement the following methods to
/// enable support as a PDL argument or result type:
///
///   static LogicalResult verifyAsArg(
///     function_ref<LogicalResult(const Twine &)> errorFn, PDLValue pdlValue,
///     size_t argIdx);
///
///     * This method verifies that the given PDLValue is valid for use as a
///       value of `T`.
///
///   static T processAsArg(PDLValue pdlValue);
///
///     *  This method processes the given PDLValue as a value of `T`.
///
///   static void processAsResult(PatternRewriter &, PDLResultList &results,
///                               const T &value);
///
///     *  This method processes the given value of `T` as the result of a
///        function invocation. The method should package the value into an
///        appropriate form and append it to the given result list.
///
/// If the type `T` is based on a higher order value, consider using
/// `ProcessPDLValueBasedOn` as a base class of the specialization to simplify
/// the implementation.
///
template <typename T, typename Enable = void>
struct ProcessPDLValue;
 
/// This struct provides a simplified model for processing types that are based
/// on another type, e.g. APInt is based on the handling for IntegerAttr. This
/// allows for building the necessary processing functions on top of the base
/// value instead of a PDLValue. Derived users should implement the following
/// (which subsume the ProcessPDLValue variants):
///
///   static LogicalResult verifyAsArg(
///     function_ref<LogicalResult(const Twine &)> errorFn,
///     const BaseT &baseValue, size_t argIdx);
///
///     * This method verifies that the given PDLValue is valid for use as a
///       value of `T`.
///
///   static T processAsArg(BaseT baseValue);
///
///     *  This method processes the given base value as a value of `T`.
///
template <typename T, typename BaseT>
struct ProcessPDLValueBasedOn {
  static LogicalResult
  verifyAsArg(function_ref<LogicalResult(const Twine &)> errorFn,
              PDLValue pdlValue, size_t argIdx) {
    // Verify the base class before continuing.
    if (failed(ProcessPDLValue<BaseT>::verifyAsArg(errorFn, pdlValue, argIdx)))
      return failure();
    return ProcessPDLValue<T>::verifyAsArg(
        errorFn, ProcessPDLValue<BaseT>::processAsArg(pdlValue), argIdx);
  }
  static T processAsArg(PDLValue pdlValue) {
    return ProcessPDLValue<T>::processAsArg(
        ProcessPDLValue<BaseT>::processAsArg(pdlValue));
  }
 
  /// Explicitly add the expected parent API to ensure the parent class
  /// implements the necessary API (and doesn't implicitly inherit it from
  /// somewhere else).
  static LogicalResult
  verifyAsArg(function_ref<LogicalResult(const Twine &)> errorFn, BaseT value,
              size_t argIdx) {
    return success();
  }
  static T processAsArg(BaseT baseValue);
};
 
/// This struct provides a simplified model for processing types that have
/// "builtin" PDLValue support:
///   * Attribute, Operation *, Type, TypeRange, ValueRange
template <typename T>
struct ProcessBuiltinPDLValue {
  static LogicalResult
  verifyAsArg(function_ref<LogicalResult(const Twine &)> errorFn,
              PDLValue pdlValue, size_t argIdx) {
    if (pdlValue)
      return success();
    return errorFn("expected a non-null value for argument " + Twine(argIdx) +
                   " of type: " + llvm::getTypeName<T>());
  }
 
  static T processAsArg(PDLValue pdlValue) { return pdlValue.cast<T>(); }
  static void processAsResult(PatternRewriter &, PDLResultList &results,
                              T value) {
    results.push_back(value);
  }
};
 
/// This struct provides a simplified model for processing types that inherit
/// from builtin PDLValue types. For example, derived attributes like
/// IntegerAttr, derived types like IntegerType, derived operations like
/// ModuleOp, Interfaces, etc.
template <typename T, typename BaseT>
struct ProcessDerivedPDLValue : public ProcessPDLValueBasedOn<T, BaseT> {
  static LogicalResult
  verifyAsArg(function_ref<LogicalResult(const Twine &)> errorFn,
              BaseT baseValue, size_t argIdx) {
    return TypeSwitch<BaseT, LogicalResult>(baseValue)
        .Case([&](T) { return success(); })
        .Default([&](BaseT) {
          return errorFn("expected argument " + Twine(argIdx) +
                         " to be of type: " + llvm::getTypeName<T>());
        });
  }
  using ProcessPDLValueBasedOn<T, BaseT>::verifyAsArg;
 
  static T processAsArg(BaseT baseValue) {
    return baseValue.template cast<T>();
  }
  using ProcessPDLValueBasedOn<T, BaseT>::processAsArg;
 
  static void processAsResult(PatternRewriter &, PDLResultList &results,
                              T value) {
    results.push_back(value);
  }
};
 
//===----------------------------------------------------------------------===//
// Attribute
 
template <>
struct ProcessPDLValue<Attribute> : public ProcessBuiltinPDLValue<Attribute> {};
template <typename T>
struct ProcessPDLValue<T,
                       std::enable_if_t<std::is_base_of<Attribute, T>::value>>
    : public ProcessDerivedPDLValue<T, Attribute> {};
 
/// Handling for various Attribute value types.
template <>
struct ProcessPDLValue<StringRef>
    : public ProcessPDLValueBasedOn<StringRef, StringAttr> {
  static StringRef processAsArg(StringAttr value) { return value.getValue(); }
  using ProcessPDLValueBasedOn<StringRef, StringAttr>::processAsArg;
 
  static void processAsResult(PatternRewriter &rewriter, PDLResultList &results,
                              StringRef value) {
    results.push_back(rewriter.getStringAttr(value));
  }
};
template <>
struct ProcessPDLValue<std::string>
    : public ProcessPDLValueBasedOn<std::string, StringAttr> {
  template <typename T>
  static std::string processAsArg(T value) {
    static_assert(always_false<T>,
                  "`std::string` arguments require a string copy, use "
                  "`StringRef` for string-like arguments instead");
    return {};
  }
  static void processAsResult(PatternRewriter &rewriter, PDLResultList &results,
                              StringRef value) {
    results.push_back(rewriter.getStringAttr(value));
  }
};
 
//===----------------------------------------------------------------------===//
// Operation
 
template <>
struct ProcessPDLValue<Operation *>
    : public ProcessBuiltinPDLValue<Operation *> {};
template <typename T>
struct ProcessPDLValue<T, std::enable_if_t<std::is_base_of<OpState, T>::value>>
    : public ProcessDerivedPDLValue<T, Operation *> {
  static T processAsArg(Operation *value) { return cast<T>(value); }
};
 
//===----------------------------------------------------------------------===//
// Type
 
template <>
struct ProcessPDLValue<Type> : public ProcessBuiltinPDLValue<Type> {};
template <typename T>
struct ProcessPDLValue<T, std::enable_if_t<std::is_base_of<Type, T>::value>>
    : public ProcessDerivedPDLValue<T, Type> {};
 
//===----------------------------------------------------------------------===//
// TypeRange
 
template <>
struct ProcessPDLValue<TypeRange> : public ProcessBuiltinPDLValue<TypeRange> {};
template <>
struct ProcessPDLValue<ValueTypeRange<OperandRange>> {
  static void processAsResult(PatternRewriter &, PDLResultList &results,
                              ValueTypeRange<OperandRange> types) {
    results.push_back(types);
  }
};
template <>
struct ProcessPDLValue<ValueTypeRange<ResultRange>> {
  static void processAsResult(PatternRewriter &, PDLResultList &results,
                              ValueTypeRange<ResultRange> types) {
    results.push_back(types);
  }
};
template <unsigned N>
struct ProcessPDLValue<SmallVector<Type, N>> {
  static void processAsResult(PatternRewriter &, PDLResultList &results,
                              SmallVector<Type, N> values) {
    results.push_back(TypeRange(values));
  }
};
 
//===----------------------------------------------------------------------===//
// Value
 
template <>
struct ProcessPDLValue<Value> : public ProcessBuiltinPDLValue<Value> {};
 
//===----------------------------------------------------------------------===//
// ValueRange
 
template <>
struct ProcessPDLValue<ValueRange> : public ProcessBuiltinPDLValue<ValueRange> {
};
template <>
struct ProcessPDLValue<OperandRange> {
  static void processAsResult(PatternRewriter &, PDLResultList &results,
                              OperandRange values) {
    results.push_back(values);
  }
};
template <>
struct ProcessPDLValue<ResultRange> {
  static void processAsResult(PatternRewriter &, PDLResultList &results,
                              ResultRange values) {
    results.push_back(values);
  }
};
template <unsigned N>
struct ProcessPDLValue<SmallVector<Value, N>> {
  static void processAsResult(PatternRewriter &, PDLResultList &results,
                              SmallVector<Value, N> values) {
    results.push_back(ValueRange(values));
  }
};
 
//===----------------------------------------------------------------------===//
// PDL Function Builder: Argument Handling
//===----------------------------------------------------------------------===//
 
/// Validate the given PDLValues match the constraints defined by the argument
/// types of the given function. In the case of failure, a match failure
/// diagnostic is emitted.
/// FIXME: This should be completely removed in favor of `assertArgs`, but PDL
/// does not currently preserve Constraint application ordering.
template <typename PDLFnT, std::size_t... I>
LogicalResult verifyAsArgs(PatternRewriter &rewriter, ArrayRef<PDLValue> values,
                           std::index_sequence<I...>) {
  using FnTraitsT = llvm::function_traits<PDLFnT>;
 
  auto errorFn = [&](const Twine &msg) {
    return rewriter.notifyMatchFailure(rewriter.getUnknownLoc(), msg);
  };
  return success(
      (succeeded(ProcessPDLValue<typename FnTraitsT::template arg_t<I + 1>>::
                     verifyAsArg(errorFn, values[I], I)) &&
       ...));
}
 
/// Assert that the given PDLValues match the constraints defined by the
/// arguments of the given function. In the case of failure, a fatal error
/// is emitted.
template <typename PDLFnT, std::size_t... I>
void assertArgs(PatternRewriter &rewriter, ArrayRef<PDLValue> values,
                std::index_sequence<I...>) {
  // We only want to do verification in debug builds, same as with `assert`.
#if LLVM_ENABLE_ABI_BREAKING_CHECKS
  using FnTraitsT = llvm::function_traits<PDLFnT>;
  auto errorFn = [&](const Twine &msg) -> LogicalResult {
    llvm::report_fatal_error(msg);
  };
  (void)errorFn;
  assert((succeeded(ProcessPDLValue<typename FnTraitsT::template arg_t<I + 1>>::
                        verifyAsArg(errorFn, values[I], I)) &&
          ...));
#endif
  (void)values;
}
 
//===----------------------------------------------------------------------===//
// PDL Function Builder: Results Handling
//===----------------------------------------------------------------------===//
 
/// Store a single result within the result list.
template <typename T>
static LogicalResult processResults(PatternRewriter &rewriter,
                                    PDLResultList &results, T &&value) {
  ProcessPDLValue<T>::processAsResult(rewriter, results,
                                      std::forward<T>(value));
  return success();
}
 
/// Store a std::pair<> as individual results within the result list.
template <typename T1, typename T2>
static LogicalResult processResults(PatternRewriter &rewriter,
                                    PDLResultList &results,
                                    std::pair<T1, T2> &&pair) {
  if (failed(processResults(rewriter, results, std::move(pair.first))) ||
      failed(processResults(rewriter, results, std::move(pair.second))))
    return failure();
  return success();
}
 
/// Store a std::tuple<> as individual results within the result list.
template <typename... Ts>
static LogicalResult processResults(PatternRewriter &rewriter,
                                    PDLResultList &results,
                                    std::tuple<Ts...> &&tuple) {
  auto applyFn = [&](auto &&...args) {
    return (succeeded(processResults(rewriter, results, std::move(args))) &&
            ...);
  };
  return success(std::apply(applyFn, std::move(tuple)));
}
 
/// Handle LogicalResult propagation.
inline LogicalResult processResults(PatternRewriter &rewriter,
                                    PDLResultList &results,
                                    LogicalResult &&result) {
  return result;
}
template <typename T>
static LogicalResult processResults(PatternRewriter &rewriter,
                                    PDLResultList &results,
                                    FailureOr<T> &&result) {
  if (failed(result))
    return failure();
  return processResults(rewriter, results, std::move(*result));
}
 
//===----------------------------------------------------------------------===//
// PDL Constraint Builder
//===----------------------------------------------------------------------===//
 
/// Process the arguments of a native constraint and invoke it.
template <typename PDLFnT, std::size_t... I,
          typename FnTraitsT = llvm::function_traits<PDLFnT>>
typename FnTraitsT::result_t
processArgsAndInvokeConstraint(PDLFnT &fn, PatternRewriter &rewriter,
                               ArrayRef<PDLValue> values,
                               std::index_sequence<I...>) {
  return fn(
      rewriter,
      (ProcessPDLValue<typename FnTraitsT::template arg_t<I + 1>>::processAsArg(
          values[I]))...);
}
 
/// Build a constraint function from the given function `ConstraintFnT`. This
/// allows for enabling the user to define simpler, more direct constraint
/// functions without needing to handle the low-level PDL goop.
///
/// If the constraint function is already in the correct form, we just forward
/// it directly.
template <typename ConstraintFnT>
std::enable_if_t<
    std::is_convertible<ConstraintFnT, PDLConstraintFunction>::value,
    PDLConstraintFunction>
buildConstraintFn(ConstraintFnT &&constraintFn) {
  return std::forward<ConstraintFnT>(constraintFn);
}
/// Otherwise, we generate a wrapper that will unpack the PDLValues in the form
/// we desire.
template <typename ConstraintFnT>
std::enable_if_t<
    !std::is_convertible<ConstraintFnT, PDLConstraintFunction>::value,
    PDLConstraintFunction>
buildConstraintFn(ConstraintFnT &&constraintFn) {
  return [constraintFn = std::forward<ConstraintFnT>(constraintFn)](
             PatternRewriter &rewriter,
             ArrayRef<PDLValue> values) -> LogicalResult {
    auto argIndices = std::make_index_sequence<
        llvm::function_traits<ConstraintFnT>::num_args - 1>();
    if (failed(verifyAsArgs<ConstraintFnT>(rewriter, values, argIndices)))
      return failure();
    return processArgsAndInvokeConstraint(constraintFn, rewriter, values,
                                          argIndices);
  };
}
 
//===----------------------------------------------------------------------===//
// PDL Rewrite Builder
//===----------------------------------------------------------------------===//
 
/// Process the arguments of a native rewrite and invoke it.
/// This overload handles the case of no return values.
template <typename PDLFnT, std::size_t... I,
          typename FnTraitsT = llvm::function_traits<PDLFnT>>
std::enable_if_t<std::is_same<typename FnTraitsT::result_t, void>::value,
                 LogicalResult>
processArgsAndInvokeRewrite(PDLFnT &fn, PatternRewriter &rewriter,
                            PDLResultList &, ArrayRef<PDLValue> values,
                            std::index_sequence<I...>) {
  fn(rewriter,
     (ProcessPDLValue<typename FnTraitsT::template arg_t<I + 1>>::processAsArg(
         values[I]))...);
  return success();
}
/// This overload handles the case of return values, which need to be packaged
/// into the result list.
template <typename PDLFnT, std::size_t... I,
          typename FnTraitsT = llvm::function_traits<PDLFnT>>
std::enable_if_t<!std::is_same<typename FnTraitsT::result_t, void>::value,
                 LogicalResult>
processArgsAndInvokeRewrite(PDLFnT &fn, PatternRewriter &rewriter,
                            PDLResultList &results, ArrayRef<PDLValue> values,
                            std::index_sequence<I...>) {
  return processResults(
      rewriter, results,
      fn(rewriter, (ProcessPDLValue<typename FnTraitsT::template arg_t<I + 1>>::
                        processAsArg(values[I]))...));
  (void)values;
}
 
/// Build a rewrite function from the given function `RewriteFnT`. This
/// allows for enabling the user to define simpler, more direct rewrite
/// functions without needing to handle the low-level PDL goop.
///
/// If the rewrite function is already in the correct form, we just forward
/// it directly.
template <typename RewriteFnT>
std::enable_if_t<std::is_convertible<RewriteFnT, PDLRewriteFunction>::value,
                 PDLRewriteFunction>
buildRewriteFn(RewriteFnT &&rewriteFn) {
  return std::forward<RewriteFnT>(rewriteFn);
}
/// Otherwise, we generate a wrapper that will unpack the PDLValues in the form
/// we desire.
template <typename RewriteFnT>
std::enable_if_t<!std::is_convertible<RewriteFnT, PDLRewriteFunction>::value,
                 PDLRewriteFunction>
buildRewriteFn(RewriteFnT &&rewriteFn) {
  return [rewriteFn = std::forward<RewriteFnT>(rewriteFn)](
             PatternRewriter &rewriter, PDLResultList &results,
             ArrayRef<PDLValue> values) {
    auto argIndices =
        std::make_index_sequence<llvm::function_traits<RewriteFnT>::num_args -
                                 1>();
    assertArgs<RewriteFnT>(rewriter, values, argIndices);
    return processArgsAndInvokeRewrite(rewriteFn, rewriter, results, values,
                                       argIndices);
  };
}
 
} // namespace pdl_function_builder
} // namespace detail
 
//===----------------------------------------------------------------------===//
// PDLPatternModule
 
/// This class contains all of the necessary data for a set of PDL patterns, or
/// pattern rewrites specified in the form of the PDL dialect. This PDL module
/// contained by this pattern may contain any number of `pdl.pattern`
/// operations.
class PDLPatternModule {
public:
  PDLPatternModule() = default;
 
  /// Construct a PDL pattern with the given module and configurations.
  PDLPatternModule(OwningOpRef<ModuleOp> module)
      : pdlModule(std::move(module)) {}
  template <typename... ConfigsT>
  PDLPatternModule(OwningOpRef<ModuleOp> module, ConfigsT &&...patternConfigs)
      : PDLPatternModule(std::move(module)) {
    auto configSet = std::make_unique<PDLPatternConfigSet>(
        std::forward<ConfigsT>(patternConfigs)...);
    attachConfigToPatterns(*pdlModule, *configSet);
    configs.emplace_back(std::move(configSet));
  }
 
  /// Merge the state in `other` into this pattern module.
  void mergeIn(PDLPatternModule &&other);
 
  /// Return the internal PDL module of this pattern.
  ModuleOp getModule() { return pdlModule.get(); }
 
  //===--------------------------------------------------------------------===//
  // Function Registry
 
  /// Register a constraint function with PDL. A constraint function may be
  /// specified in one of two ways:
  ///
  ///   * `LogicalResult (PatternRewriter &, ArrayRef<PDLValue>)`
  ///
  ///   In this overload the arguments of the constraint function are passed via
  ///   the low-level PDLValue form.
  ///
  ///   * `LogicalResult (PatternRewriter &, ValueTs... values)`
  ///
  ///   In this form the arguments of the constraint function are passed via the
  ///   expected high level C++ type. In this form, the framework will
  ///   automatically unwrap PDLValues and convert them to the expected ValueTs.
  ///   For example, if the constraint function accepts a `Operation *`, the
  ///   framework will automatically cast the input PDLValue. In the case of a
  ///   `StringRef`, the framework will automatically unwrap the argument as a
  ///   StringAttr and pass the underlying string value. To see the full list of
  ///   supported types, or to see how to add handling for custom types, view
  ///   the definition of `ProcessPDLValue` above.
  void registerConstraintFunction(StringRef name,
                                  PDLConstraintFunction constraintFn);
  template <typename ConstraintFnT>
  void registerConstraintFunction(StringRef name,
                                  ConstraintFnT &&constraintFn) {
    registerConstraintFunction(name,
                               detail::pdl_function_builder::buildConstraintFn(
                                   std::forward<ConstraintFnT>(constraintFn)));
  }
 
  /// Register a rewrite function with PDL. A rewrite function may be specified
  /// in one of two ways:
  ///
  ///   * `void (PatternRewriter &, PDLResultList &, ArrayRef<PDLValue>)`
  ///
  ///   In this overload the arguments of the constraint function are passed via
  ///   the low-level PDLValue form, and the results are manually appended to
  ///   the given result list.
  ///
  ///   * `ResultT (PatternRewriter &, ValueTs... values)`
  ///
  ///   In this form the arguments and result of the rewrite function are passed
  ///   via the expected high level C++ type. In this form, the framework will
  ///   automatically unwrap the PDLValues arguments and convert them to the
  ///   expected ValueTs. It will also automatically handle the processing and
  ///   packaging of the result value to the result list. For example, if the
  ///   rewrite function takes a `Operation *`, the framework will automatically
  ///   cast the input PDLValue. In the case of a `StringRef`, the framework
  ///   will automatically unwrap the argument as a StringAttr and pass the
  ///   underlying string value. In the reverse case, if the rewrite returns a
  ///   StringRef or std::string, it will automatically package this as a
  ///   StringAttr and append it to the result list. To see the full list of
  ///   supported types, or to see how to add handling for custom types, view
  ///   the definition of `ProcessPDLValue` above.
  void registerRewriteFunction(StringRef name, PDLRewriteFunction rewriteFn);
  template <typename RewriteFnT>
  void registerRewriteFunction(StringRef name, RewriteFnT &&rewriteFn) {
    registerRewriteFunction(name, detail::pdl_function_builder::buildRewriteFn(
                                      std::forward<RewriteFnT>(rewriteFn)));
  }
 
  /// Return the set of the registered constraint functions.
  const llvm::StringMap<PDLConstraintFunction> &getConstraintFunctions() const {
    return constraintFunctions;
  }
  llvm::StringMap<PDLConstraintFunction> takeConstraintFunctions() {
    return constraintFunctions;
  }
  /// Return the set of the registered rewrite functions.
  const llvm::StringMap<PDLRewriteFunction> &getRewriteFunctions() const {
    return rewriteFunctions;
  }
  llvm::StringMap<PDLRewriteFunction> takeRewriteFunctions() {
    return rewriteFunctions;
  }
 
  /// Return the set of the registered pattern configs.
  SmallVector<std::unique_ptr<PDLPatternConfigSet>> takeConfigs() {
    return std::move(configs);
  }
  DenseMap<Operation *, PDLPatternConfigSet *> takeConfigMap() {
    return std::move(configMap);
  }
 
  /// Clear out the patterns and functions within this module.
  void clear() {
    pdlModule = nullptr;
    constraintFunctions.clear();
    rewriteFunctions.clear();
  }
 
private:
  /// Attach the given pattern config set to the patterns defined within the
  /// given module.
  void attachConfigToPatterns(ModuleOp module, PDLPatternConfigSet &configSet);
 
  /// The module containing the `pdl.pattern` operations.
  OwningOpRef<ModuleOp> pdlModule;
 
  /// The set of configuration sets referenced by patterns within `pdlModule`.
  SmallVector<std::unique_ptr<PDLPatternConfigSet>> configs;
  DenseMap<Operation *, PDLPatternConfigSet *> configMap;
 
  /// The external functions referenced from within the PDL module.
  llvm::StringMap<PDLConstraintFunction> constraintFunctions;
  llvm::StringMap<PDLRewriteFunction> rewriteFunctions;
};
 
//===----------------------------------------------------------------------===//
// RewritePatternSet
//===----------------------------------------------------------------------===//
 
class RewritePatternSet {
  using NativePatternListT = std::vector<std::unique_ptr<RewritePattern>>;
 
public:
  RewritePatternSet(MLIRContext *context) : context(context) {}
 
  /// Construct a RewritePatternSet populated with the given pattern.
  RewritePatternSet(MLIRContext *context,
                    std::unique_ptr<RewritePattern> pattern)
      : context(context) {
    nativePatterns.emplace_back(std::move(pattern));
  }
  RewritePatternSet(PDLPatternModule &&pattern)
      : context(pattern.getModule()->getContext()),
        pdlPatterns(std::move(pattern)) {}
 
  MLIRContext *getContext() const { return context; }
 
  /// Return the native patterns held in this list.
  NativePatternListT &getNativePatterns() { return nativePatterns; }
 
  /// Return the PDL patterns held in this list.
  PDLPatternModule &getPDLPatterns() { return pdlPatterns; }
 
  /// Clear out all of the held patterns in this list.
  void clear() {
    nativePatterns.clear();
    pdlPatterns.clear();
  }
 
  //===--------------------------------------------------------------------===//
  // 'add' methods for adding patterns to the set.
  //===--------------------------------------------------------------------===//
 
  /// Add an instance of each of the pattern types 'Ts' to the pattern list with
  /// the given arguments. Return a reference to `this` for chaining insertions.
  /// Note: ConstructorArg is necessary here to separate the two variadic lists.
  template <typename... Ts, typename ConstructorArg,
            typename... ConstructorArgs,
            typename = std::enable_if_t<sizeof...(Ts) != 0>>
  RewritePatternSet &add(ConstructorArg &&arg, ConstructorArgs &&...args) {
    // The following expands a call to emplace_back for each of the pattern
    // types 'Ts'.
    (addImpl<Ts>(/*debugLabels=*/llvm::None, std::forward<ConstructorArg>(arg),
                 std::forward<ConstructorArgs>(args)...),
     ...);
    return *this;
  }
  /// An overload of the above `add` method that allows for attaching a set
  /// of debug labels to the attached patterns. This is useful for labeling
  /// groups of patterns that may be shared between multiple different
  /// passes/users.
  template <typename... Ts, typename ConstructorArg,
            typename... ConstructorArgs,
            typename = std::enable_if_t<sizeof...(Ts) != 0>>
  RewritePatternSet &addWithLabel(ArrayRef<StringRef> debugLabels,
                                  ConstructorArg &&arg,
                                  ConstructorArgs &&...args) {
    // The following expands a call to emplace_back for each of the pattern
    // types 'Ts'.
    (addImpl<Ts>(debugLabels, arg, args...), ...);
    return *this;
  }
 
  /// Add an instance of each of the pattern types 'Ts'. Return a reference to
  /// `this` for chaining insertions.
  template <typename... Ts>
  RewritePatternSet &add() {
    (addImpl<Ts>(), ...);
    return *this;
  }
 
  /// Add the given native pattern to the pattern list. Return a reference to
  /// `this` for chaining insertions.
  RewritePatternSet &add(std::unique_ptr<RewritePattern> pattern) {
    nativePatterns.emplace_back(std::move(pattern));
    return *this;
  }
 
  /// Add the given PDL pattern to the pattern list. Return a reference to
  /// `this` for chaining insertions.
  RewritePatternSet &add(PDLPatternModule &&pattern) {
    pdlPatterns.mergeIn(std::move(pattern));
    return *this;
  }
 
  // Add a matchAndRewrite style pattern represented as a C function pointer.
  template <typename OpType>
  RewritePatternSet &add(LogicalResult (*implFn)(OpType,
                                                 PatternRewriter &rewriter)) {
    struct FnPattern final : public OpRewritePattern<OpType> {
      FnPattern(LogicalResult (*implFn)(OpType, PatternRewriter &rewriter),
                MLIRContext *context)
          : OpRewritePattern<OpType>(context), implFn(implFn) {}
 
      LogicalResult matchAndRewrite(OpType op,
                                    PatternRewriter &rewriter) const override {
        return implFn(op, rewriter);
      }
 
    private:
      LogicalResult (*implFn)(OpType, PatternRewriter &rewriter);
    };
    add(std::make_unique<FnPattern>(std::move(implFn), getContext()));
    return *this;
  }
 
  //===--------------------------------------------------------------------===//
  // Pattern Insertion
  //===--------------------------------------------------------------------===//
 
  // TODO: These are soft deprecated in favor of the 'add' methods above.
 
  /// Add an instance of each of the pattern types 'Ts' to the pattern list with
  /// the given arguments. Return a reference to `this` for chaining insertions.
  /// Note: ConstructorArg is necessary here to separate the two variadic lists.
  template <typename... Ts, typename ConstructorArg,
            typename... ConstructorArgs,
            typename = std::enable_if_t<sizeof...(Ts) != 0>>
  RewritePatternSet &insert(ConstructorArg &&arg, ConstructorArgs &&...args) {
    // The following expands a call to emplace_back for each of the pattern
    // types 'Ts'.
    (addImpl<Ts>(/*debugLabels=*/llvm::None, arg, args...), ...);
    return *this;
  }
 
  /// Add an instance of each of the pattern types 'Ts'. Return a reference to
  /// `this` for chaining insertions.
  template <typename... Ts>
  RewritePatternSet &insert() {
    (addImpl<Ts>(), ...);
    return *this;
  }
 
  /// Add the given native pattern to the pattern list. Return a reference to
  /// `this` for chaining insertions.
  RewritePatternSet &insert(std::unique_ptr<RewritePattern> pattern) {
    nativePatterns.emplace_back(std::move(pattern));
    return *this;
  }
 
  /// Add the given PDL pattern to the pattern list. Return a reference to
  /// `this` for chaining insertions.
  RewritePatternSet &insert(PDLPatternModule &&pattern) {
    pdlPatterns.mergeIn(std::move(pattern));
    return *this;
  }
 
  // Add a matchAndRewrite style pattern represented as a C function pointer.
  template <typename OpType>
  RewritePatternSet &
  insert(LogicalResult (*implFn)(OpType, PatternRewriter &rewriter)) {
    struct FnPattern final : public OpRewritePattern<OpType> {
      FnPattern(LogicalResult (*implFn)(OpType, PatternRewriter &rewriter),
                MLIRContext *context)
          : OpRewritePattern<OpType>(context), implFn(implFn) {
        this->setDebugName(llvm::getTypeName<FnPattern>());
      }
 
      LogicalResult matchAndRewrite(OpType op,
                                    PatternRewriter &rewriter) const override {
        return implFn(op, rewriter);
      }
 
    private:
      LogicalResult (*implFn)(OpType, PatternRewriter &rewriter);
    };
    add(std::make_unique<FnPattern>(std::move(implFn), getContext()));
    return *this;
  }
 
private:
  /// Add an instance of the pattern type 'T'. Return a reference to `this` for
  /// chaining insertions.
  template <typename T, typename... Args>
  std::enable_if_t<std::is_base_of<RewritePattern, T>::value>
  addImpl(ArrayRef<StringRef> debugLabels, Args &&...args) {
    std::unique_ptr<T> pattern =
        RewritePattern::create<T>(std::forward<Args>(args)...);
    pattern->addDebugLabels(debugLabels);
    nativePatterns.emplace_back(std::move(pattern));
  }
  template <typename T, typename... Args>
  std::enable_if_t<std::is_base_of<PDLPatternModule, T>::value>
  addImpl(ArrayRef<StringRef> debugLabels, Args &&...args) {
    // TODO: Add the provided labels to the PDL pattern when PDL supports
    // labels.
    pdlPatterns.mergeIn(T(std::forward<Args>(args)...));
  }
 
  MLIRContext *const context;
  NativePatternListT nativePatterns;
  PDLPatternModule pdlPatterns;
};
 
} // namespace mlir
 
#endif // MLIR_IR_PATTERNMATCH_H