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// Copyright 2019 Google LLC
//
// 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
//
// https://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.
#ifndef THIRD_PARTY_MLIR_EDGE_IREE_COMPILER_TRANSFORMS_CONVERSIONUTILS_H_
#define THIRD_PARTY_MLIR_EDGE_IREE_COMPILER_TRANSFORMS_CONVERSIONUTILS_H_
#include "third_party/llvm/llvm/projects/google_mlir/include/mlir/Transforms/DialectConversion.h"
#include "third_party/mlir_edge/iree/compiler/Utils/MemRefUtils.h"
namespace mlir {
namespace iree_compiler {
template <typename SrcOp, typename DstOp>
struct UnaryOpLowering : public ConversionPattern {
explicit UnaryOpLowering(MLIRContext *context)
: ConversionPattern(SrcOp::getOperationName(), 1, context) {}
PatternMatchResult matchAndRewrite(
Operation *op, ArrayRef<Value *> operands,
ConversionPatternRewriter &rewriter) const override {
auto *value = loadAccessValue(op->getLoc(), operands[0], rewriter);
value = wrapAsMemRef(value, op, rewriter);
auto dstType = getMemRefType(op->getResult(0), rewriter);
auto dstOp = rewriter.create<DstOp>(op->getLoc(), dstType, value);
auto result = dstOp.getResult();
result = wrapAsTensor(result, op, rewriter);
rewriter.replaceOp(
op, {loadResultValue(op->getLoc(), op->getResult(0)->getType(), result,
rewriter)});
return matchSuccess();
}
};
template <typename SrcOp, typename DstOp>
struct BinaryOpLowering : public ConversionPattern {
explicit BinaryOpLowering(MLIRContext *context)
: ConversionPattern(SrcOp::getOperationName(), 1, context) {}
PatternMatchResult matchAndRewrite(
Operation *op, ArrayRef<Value *> operands,
ConversionPatternRewriter &rewriter) const override {
auto *lhsValue = loadAccessValue(op->getLoc(), operands[0], rewriter);
auto *rhsValue = loadAccessValue(op->getLoc(), operands[1], rewriter);
auto dstType = getMemRefType(op->getResult(0), rewriter);
lhsValue = wrapAsMemRef(lhsValue, op, rewriter);
rhsValue = wrapAsMemRef(rhsValue, op, rewriter);
auto midOp =
rewriter.create<DstOp>(op->getLoc(), dstType, lhsValue, rhsValue);
auto result = midOp.getResult();
result = wrapAsTensor(result, op, rewriter);
rewriter.replaceOp(
op, {loadResultValue(op->getLoc(), op->getResult(0)->getType(), result,
rewriter)});
return matchSuccess();
}
};
template <typename SrcOp, typename DstOp>
struct TernaryOpLowering : public ConversionPattern {
explicit TernaryOpLowering(MLIRContext *context)
: ConversionPattern(SrcOp::getOperationName(), 1, context) {}
PatternMatchResult matchAndRewrite(
Operation *op, ArrayRef<Value *> operands,
ConversionPatternRewriter &rewriter) const override {
auto *aValue = loadAccessValue(op->getLoc(), operands[0], rewriter);
auto *bValue = loadAccessValue(op->getLoc(), operands[1], rewriter);
auto *cValue = loadAccessValue(op->getLoc(), operands[2], rewriter);
aValue = wrapAsMemRef(aValue, op, rewriter);
bValue = wrapAsMemRef(bValue, op, rewriter);
cValue = wrapAsMemRef(cValue, op, rewriter);
auto dstType = getMemRefType(op->getResult(0), rewriter);
auto dstOp =
rewriter.create<DstOp>(op->getLoc(), dstType, aValue, bValue, cValue);
auto result = dstOp.getResult();
result = wrapAsTensor(result, op, rewriter);
rewriter.replaceOp(
op, {loadResultValue(op->getLoc(), op->getResult(0)->getType(), result,
rewriter)});
return matchSuccess();
}
};
} // namespace iree_compiler
} // namespace mlir
#endif // THIRD_PARTY_MLIR_EDGE_IREE_COMPILER_TRANSFORMS_CONVERSIONUTILS_H_