mirror of https://github.com/llvm/torch-mlir
62 lines
2.1 KiB
C++
62 lines
2.1 KiB
C++
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//===----------------------------------------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "npcomp/Conversion/NumpyToTCF/Passes.h"
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#include "../PassDetail.h"
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#include "mlir/Transforms/DialectConversion.h"
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#include "npcomp/Dialect/Numpy/IR/NumpyOps.h"
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#include "npcomp/Dialect/TCF/IR/TCFOps.h"
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using namespace mlir;
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using namespace mlir::NPCOMP;
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namespace {
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template <typename TargetTcfOp>
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class ConvertBinaryBuiltinUfuncCallOp
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: public OpRewritePattern<Numpy::BuiltinUfuncCallOp> {
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public:
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ConvertBinaryBuiltinUfuncCallOp(MLIRContext *context, StringRef qualifiedName,
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PatternBenefit benefit = 1)
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: OpRewritePattern(context, benefit), qualifiedName(qualifiedName) {}
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LogicalResult matchAndRewrite(Numpy::BuiltinUfuncCallOp op,
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PatternRewriter &rewriter) const override {
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if (op.qualified_name() != qualifiedName)
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return failure();
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if (op.inputs().size() != 2)
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return failure();
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rewriter.replaceOpWithNewOp<TargetTcfOp>(op, op.getResult().getType(),
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op.inputs()[0], op.inputs()[1]);
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return success();
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}
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private:
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StringRef qualifiedName;
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};
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} // namespace
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namespace {
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class ConvertNumpyToTCF : public ConvertNumpyToTCFBase<ConvertNumpyToTCF> {
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void runOnOperation() {
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FuncOp func = getOperation();
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MLIRContext *context = &getContext();
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OwningRewritePatternList patterns;
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patterns.insert<ConvertBinaryBuiltinUfuncCallOp<tcf::AddOp>>(context,
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"numpy.add");
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(void)applyPatternsAndFoldGreedily(func, patterns);
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}
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};
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} // namespace
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std::unique_ptr<OperationPass<FuncOp>>
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mlir::NPCOMP::createConvertNumpyToTCFPass() {
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return std::make_unique<ConvertNumpyToTCF>();
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}
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