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# Pull Request ## What problem does this PR solve? Issue Number: Fixed # ## Possible side effects? - Performance: - Backward compatibility:
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// Copyright 2023 Ant Group Co., Ltd. | ||
// | ||
// 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. | ||
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#include "mlir/IR/PatternMatch.h" | ||
#include "mlir/Pass/Pass.h" | ||
#include "mlir/Transforms/GreedyPatternRewriteDriver.h" | ||
#include "spdlog/spdlog.h" | ||
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#include "libspu/compiler/passes/pass_details.h" | ||
#include "libspu/compiler/passes/passes.h" | ||
#include "libspu/dialect/pphlo_ops.h" | ||
#include "libspu/dialect/pphlo_types.h" | ||
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namespace mlir::pphlo { | ||
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namespace { | ||
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struct SortConversion : public OpRewritePattern<SortOp> { | ||
public: | ||
explicit SortConversion(MLIRContext *context) | ||
: OpRewritePattern<SortOp>(context) {} | ||
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LogicalResult matchAndRewrite(SortOp op, | ||
PatternRewriter &rewriter) const override { | ||
auto &comp = op.getComparator(); | ||
if (op->getNumOperands() == 1) { | ||
// When there is only one operand, stable or not seems irrelevant | ||
op.setIsStable(false); | ||
} | ||
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// If has a single instruction comparator, check if it's a simple sort. | ||
if (comp.hasOneBlock() && | ||
llvm::hasSingleElement(comp.front().without_terminator())) { | ||
auto &inst = comp.front().front(); | ||
// Single instruction comparator. | ||
if (mlir::isa<pphlo::LessOp>(inst) || mlir::isa<pphlo::GreaterOp>(inst)) { | ||
mlir::IntegerAttr direction; | ||
if (mlir::isa<pphlo::GreaterOp>(inst)) { | ||
// descent | ||
direction = rewriter.getI32IntegerAttr( | ||
static_cast<int32_t>(SortDirection::DES)); | ||
} else { | ||
// ascent | ||
direction = rewriter.getI32IntegerAttr( | ||
static_cast<int32_t>(SortDirection::ASC)); | ||
} | ||
auto lhs_idx = | ||
inst.getOperand(0).dyn_cast<mlir::BlockArgument>().getArgNumber(); | ||
auto rhs_idx = | ||
inst.getOperand(1).dyn_cast<mlir::BlockArgument>().getArgNumber(); | ||
// FIXME: If the comparator is using operands other than the first one, | ||
// we should just reorder operands instead of bailout | ||
if (lhs_idx != 0 || rhs_idx != 1) { | ||
return failure(); | ||
} | ||
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rewriter.replaceOpWithNewOp<pphlo::SimpleSortOp>( | ||
op, op.getResultTypes(), op.getOperands(), op.getDimensionAttr(), | ||
direction); | ||
return success(); | ||
} | ||
} | ||
return failure(); | ||
} | ||
}; | ||
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struct SortLowering : public SortLoweringBase<SortLowering> { | ||
void runOnOperation() override { | ||
RewritePatternSet patterns(&getContext()); | ||
populateOwningPatterns(&patterns, &getContext()); | ||
(void)applyPatternsAndFoldGreedily(getOperation(), std::move(patterns)); | ||
} | ||
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private: | ||
static void populateOwningPatterns(RewritePatternSet *patterns, | ||
MLIRContext *ctx) { | ||
patterns->insert<SortConversion>(ctx); | ||
} | ||
}; | ||
} // namespace | ||
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std::unique_ptr<OperationPass<func::FuncOp>> createSortLowering() { | ||
return std::make_unique<SortLowering>(); | ||
} | ||
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} // namespace mlir::pphlo |
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// RUN: mlir-pphlo-opt --sort-lowering --split-input-file %s | FileCheck %s | ||
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func.func @main(%arg0: tensor<10x!pphlo.sec<f32>>) -> tensor<10x!pphlo.sec<f32>> { | ||
// CHECK: simple_sort | ||
%0 = "pphlo.sort"(%arg0) ({ | ||
^bb0(%arg1: tensor<!pphlo.sec<f32>>, %arg2: tensor<!pphlo.sec<f32>>): | ||
%1 = "pphlo.less"(%arg1, %arg2) : (tensor<!pphlo.sec<f32>>, tensor<!pphlo.sec<f32>>) -> tensor<!pphlo.sec<i1>> | ||
"pphlo.return"(%1) : (tensor<!pphlo.sec<i1>>) -> () | ||
}) {dimension = 0 : i64, is_stable = false} : (tensor<10x!pphlo.sec<f32>>) -> tensor<10x!pphlo.sec<f32>> | ||
return %0 : tensor<10x!pphlo.sec<f32>> | ||
} |
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