LTLFolds.cpp

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//===- LTLFolds.cpp -------------------------------------------------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
 
#include "circt/Dialect/Comb/CombOps.h"
#include "circt/Dialect/HW/HWOps.h"
#include "circt/Dialect/LTL/LTLOps.h"
#include "mlir/IR/PatternMatch.h"
 
using namespace circt;
using namespace ltl;
using namespace mlir;
 
/// Concatenate two value ranges into a larger range. Useful for declarative
/// rewrites.
static SmallVector<Value> concatValues(ValueRange a, ValueRange b) {
  SmallVector<Value> v;
  v.append(a.begin(), a.end());
  v.append(b.begin(), b.end());
  return v;
}
 
/// Inline all `ConcatOp`s in a range of values.
static SmallVector<Value> flattenConcats(ValueRange values) {
  SmallVector<Value> flatInputs;
  for (auto value : values) {
    if (auto concatOp = value.getDefiningOp<ConcatOp>()) {
      auto inputs = concatOp.getInputs();
      flatInputs.append(inputs.begin(), inputs.end());
    } else {
      flatInputs.push_back(value);
    }
  }
  return flatInputs;
}
 
//===----------------------------------------------------------------------===//
// Declarative Rewrites
//===----------------------------------------------------------------------===//
 
namespace patterns {
#include "circt/Dialect/LTL/LTLFolds.cpp.inc"
} // namespace patterns
 
//===----------------------------------------------------------------------===//
// DelayOp
//===----------------------------------------------------------------------===//
 
OpFoldResult DelayOp::fold(FoldAdaptor adaptor) {
  // delay(s, 0, 0) -> s
  if (adaptor.getDelay() == 0 && adaptor.getLength() == 0 &&
      isa<SequenceType>(getInput().getType()))
    return getInput();
 
  return {};
}
 
void DelayOp::getCanonicalizationPatterns(RewritePatternSet &results,
                                          MLIRContext *context) {
  results.add<patterns::NestedDelays>(results.getContext());
  results.add<patterns::MoveDelayIntoConcat>(results.getContext());
}
 
//===----------------------------------------------------------------------===//
// ConcatOp
//===----------------------------------------------------------------------===//
 
OpFoldResult ConcatOp::fold(FoldAdaptor adaptor) {
  // concat(s) -> s
  if (getInputs().size() == 1)
    return getInputs()[0];
 
  return {};
}
 
void ConcatOp::getCanonicalizationPatterns(RewritePatternSet &results,
                                           MLIRContext *context) {
  results.add<patterns::FlattenConcats>(results.getContext());
}
 
//===----------------------------------------------------------------------===//
// RepeatLikeOps
//===----------------------------------------------------------------------===//
 
namespace {
struct RepeatLikeOp {
  static OpFoldResult fold(uint64_t base, uint64_t more, Value input) {
    // repeat(s, 1, 0) -> s
    if (base == 1 && more == 0 && isa<SequenceType>(input.getType()))
      return input;
 
    return {};
  }
};
} // namespace
 
OpFoldResult RepeatOp::fold(FoldAdaptor adaptor) {
  auto more = adaptor.getMore();
  if (more.has_value())
    return RepeatLikeOp::fold(adaptor.getBase(), *more, getInput());
  return {};
}
 
OpFoldResult GoToRepeatOp::fold(FoldAdaptor adaptor) {
  return RepeatLikeOp::fold(adaptor.getBase(), adaptor.getMore(), getInput());
}
 
OpFoldResult NonConsecutiveRepeatOp::fold(FoldAdaptor adaptor) {
  return RepeatLikeOp::fold(adaptor.getBase(), adaptor.getMore(), getInput());
}