clang-p2996/mlir/lib/Dialect/Bufferization/TransformOps/BufferizationTransformOps.cpp

//===- BufferizationTransformOps.h - Bufferization transform ops ----------===//
//
// 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 "mlir/Dialect/Bufferization/TransformOps/BufferizationTransformOps.h"

#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
#include "mlir/Dialect/Bufferization/Transforms/OneShotAnalysis.h"
#include "mlir/Dialect/Bufferization/Transforms/OneShotModuleBufferize.h"
#include "mlir/Dialect/Bufferization/Transforms/Transforms.h"
#include "mlir/Dialect/MemRef/IR/MemRef.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/Dialect/Transform/IR/TransformDialect.h"
#include "mlir/IR/FunctionInterfaces.h"

using namespace mlir;
using namespace mlir::bufferization;
using namespace mlir::transform;

//===----------------------------------------------------------------------===//
// OneShotBufferizeOp
//===----------------------------------------------------------------------===//

DiagnosedSilenceableFailure
transform::OneShotBufferizeOp::apply(TransformResults &transformResults,
                                     TransformState &state) {
  OneShotBufferizationOptions options;
  options.allowReturnAllocs = getAllowReturnAllocs();
  options.allowUnknownOps = getAllowUnknownOps();
  options.bufferizeFunctionBoundaries = getBufferizeFunctionBoundaries();
  options.createDeallocs = getCreateDeallocs();
  options.testAnalysisOnly = getTestAnalysisOnly();
  options.printConflicts = getPrintConflicts();
  if (getFunctionBoundaryTypeConversion().has_value())
    options.setFunctionBoundaryTypeConversion(
        *getFunctionBoundaryTypeConversion());

  auto payloadOps = state.getPayloadOps(getTarget());
  for (Operation *target : payloadOps) {
    if (!isa<ModuleOp, FunctionOpInterface>(target))
      return emitSilenceableError() << "expected module or function target";
    auto moduleOp = dyn_cast<ModuleOp>(target);
    if (options.bufferizeFunctionBoundaries) {
      if (!moduleOp)
        return emitSilenceableError() << "expected module target";
      if (failed(bufferization::runOneShotModuleBufferize(moduleOp, options)))
        return emitSilenceableError() << "bufferization failed";
    } else {
      if (failed(bufferization::runOneShotBufferize(target, options)))
        return emitSilenceableError() << "bufferization failed";
    }
  }

  // This transform op is currently restricted to ModuleOps and function ops.
  // Such ops are modified in-place.
  transformResults.set(cast<OpResult>(getTransformed()), payloadOps);
  return DiagnosedSilenceableFailure::success();
}

//===----------------------------------------------------------------------===//
// EliminateEmptyTensorsOp
//===----------------------------------------------------------------------===//

void transform::EliminateEmptyTensorsOp::getEffects(
    SmallVectorImpl<MemoryEffects::EffectInstance> &effects) {
  onlyReadsHandle(getTarget(), effects);
  modifiesPayload(effects);
}

DiagnosedSilenceableFailure
transform::EliminateEmptyTensorsOp::apply(TransformResults &transformResults,
                                          TransformState &state) {
  IRRewriter rewriter(getContext());
  OneShotBufferizationOptions options;
  options.allowReturnAllocs = true;

  for (Operation *target : state.getPayloadOps(getTarget())) {
    OneShotAnalysisState state(target, options);
    if (failed(analyzeOp(target, state)))
      return mlir::emitSilenceableFailure(target->getLoc())
             << "failed to analyze op";
    if (failed(bufferization::insertSliceAnchoredEmptyTensorEliminationStep(
            rewriter, target, state)))
      return mlir::emitSilenceableFailure(target->getLoc())
             << "failed to eliminate insert_slice anchored tensor.empty ops";
  }
  return DiagnosedSilenceableFailure::success();
}

//===----------------------------------------------------------------------===//
// EmptyTensorToAllocTensorOp
//===----------------------------------------------------------------------===//

DiagnosedSilenceableFailure
EmptyTensorToAllocTensorOp::applyToOne(tensor::EmptyOp target,
                                       ApplyToEachResultList &results,
                                       transform::TransformState &state) {
  IRRewriter rewriter(target->getContext());
  rewriter.setInsertionPoint(target);
  auto alloc = rewriter.replaceOpWithNewOp<bufferization::AllocTensorOp>(
      target, target.getType(), target.getDynamicSizes());
  results.push_back(alloc);
  return DiagnosedSilenceableFailure::success();
}

//===----------------------------------------------------------------------===//
// Transform op registration
//===----------------------------------------------------------------------===//

namespace {
/// Registers new ops and declares PDL as dependent dialect since the additional
/// ops are using PDL types for operands and results.
class BufferizationTransformDialectExtension
    : public transform::TransformDialectExtension<
          BufferizationTransformDialectExtension> {
public:
  using Base::Base;

  void init() {
    declareGeneratedDialect<bufferization::BufferizationDialect>();
    declareGeneratedDialect<memref::MemRefDialect>();

    registerTransformOps<
#define GET_OP_LIST
#include "mlir/Dialect/Bufferization/TransformOps/BufferizationTransformOps.cpp.inc"
        >();
  }
};
} // namespace

#define GET_OP_CLASSES
#include "mlir/Dialect/Bufferization/TransformOps/BufferizationTransformOps.cpp.inc"

#include "mlir/Dialect/Bufferization/IR/BufferizationEnums.cpp.inc"

void mlir::bufferization::registerTransformDialectExtension(
    DialectRegistry &registry) {
  registry.addExtensions<BufferizationTransformDialectExtension>();
}