llvm-project/mlir/lib/Dialect/Bufferization/TransformOps/BufferizationTransformOps.cpp
donald chen 2c1ae801e1
[mlir][side effect] refactor(*): Include more precise side effects (#94213)
This patch adds more precise side effects to the current ops with memory
effects, allowing us to determine which OpOperand/OpResult/BlockArgument
the
operation reads or writes, rather than just recording the reading and
writing
of values. This allows for convenient use of precise side effects to
achieve
analysis and optimization.

Related discussions:
https://discourse.llvm.org/t/rfc-add-operandindex-to-sideeffect-instance/79243
2024-06-19 22:10:34 +08:00

176 lines
7.1 KiB
C++

//===- 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/Passes.h"
#include "mlir/Dialect/Bufferization/Transforms/Transforms.h"
#include "mlir/Dialect/Linalg/IR/Linalg.h"
#include "mlir/Dialect/MemRef/IR/MemRef.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/Dialect/Transform/IR/TransformDialect.h"
#include "mlir/Interfaces/FunctionInterfaces.h"
using namespace mlir;
using namespace mlir::bufferization;
using namespace mlir::transform;
//===----------------------------------------------------------------------===//
// BufferLoopHoistingOp
//===----------------------------------------------------------------------===//
DiagnosedSilenceableFailure transform::BufferLoopHoistingOp::applyToOne(
TransformRewriter &rewriter, Operation *target,
ApplyToEachResultList &results, TransformState &state) {
bufferization::hoistBuffersFromLoops(target);
return DiagnosedSilenceableFailure::success();
}
void transform::BufferLoopHoistingOp::getEffects(
SmallVectorImpl<MemoryEffects::EffectInstance> &effects) {
onlyReadsHandle(getTargetMutable(), effects);
modifiesPayload(effects);
}
//===----------------------------------------------------------------------===//
// OneShotBufferizeOp
//===----------------------------------------------------------------------===//
LogicalResult transform::OneShotBufferizeOp::verify() {
if (getMemcpyOp() != "memref.copy" && getMemcpyOp() != "linalg.copy")
return emitOpError() << "unsupported memcpy op";
if (getPrintConflicts() && !getTestAnalysisOnly())
return emitOpError() << "'print_conflicts' requires 'test_analysis_only'";
if (getDumpAliasSets() && !getTestAnalysisOnly())
return emitOpError() << "'dump_alias_sets' requires 'test_analysis_only'";
return success();
}
DiagnosedSilenceableFailure
transform::OneShotBufferizeOp::apply(transform::TransformRewriter &rewriter,
TransformResults &transformResults,
TransformState &state) {
OneShotBufferizationOptions options;
options.allowReturnAllocsFromLoops = getAllowReturnAllocsFromLoops();
options.allowUnknownOps = getAllowUnknownOps();
options.bufferizeFunctionBoundaries = getBufferizeFunctionBoundaries();
options.dumpAliasSets = getDumpAliasSets();
options.testAnalysisOnly = getTestAnalysisOnly();
options.printConflicts = getPrintConflicts();
if (getFunctionBoundaryTypeConversion().has_value())
options.setFunctionBoundaryTypeConversion(
*getFunctionBoundaryTypeConversion());
if (getMemcpyOp() == "memref.copy") {
options.memCpyFn = [](OpBuilder &b, Location loc, Value from, Value to) {
b.create<memref::CopyOp>(loc, from, to);
return success();
};
} else if (getMemcpyOp() == "linalg.copy") {
options.memCpyFn = [](OpBuilder &b, Location loc, Value from, Value to) {
b.create<linalg::CopyOp>(loc, from, to);
return success();
};
} else {
llvm_unreachable("invalid copy op");
}
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(getTargetMutable(), effects);
modifiesPayload(effects);
}
DiagnosedSilenceableFailure transform::EliminateEmptyTensorsOp::apply(
transform::TransformRewriter &rewriter, TransformResults &transformResults,
TransformState &state) {
for (Operation *target : state.getPayloadOps(getTarget())) {
if (failed(bufferization::eliminateEmptyTensors(rewriter, target)))
return mlir::emitSilenceableFailure(target->getLoc())
<< "empty tensor elimination failed";
}
return DiagnosedSilenceableFailure::success();
}
//===----------------------------------------------------------------------===//
// EmptyTensorToAllocTensorOp
//===----------------------------------------------------------------------===//
DiagnosedSilenceableFailure EmptyTensorToAllocTensorOp::applyToOne(
transform::TransformRewriter &rewriter, tensor::EmptyOp target,
ApplyToEachResultList &results, transform::TransformState &state) {
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>();
}