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Raptor/src/PIM/Conversion/ONNXToSpatial/Patterns/NN/Sigmoid.cpp
T
2026-05-04 13:42:43 +02:00

37 lines
1.2 KiB
C++

#include "mlir/Transforms/DialectConversion.h"
#include "src/Accelerators/PIM/Conversion/ONNXToSpatial/Common/Common.hpp"
#include "src/Accelerators/PIM/Dialect/Spatial/SpatialOps.hpp"
#include "src/Dialect/ONNX/ONNXOps.hpp"
using namespace mlir;
namespace onnx_mlir {
namespace {
struct SigmoidToSpatialCompute : OpConversionPattern<ONNXSigmoidOp> {
using OpConversionPattern::OpConversionPattern;
LogicalResult matchAndRewrite(ONNXSigmoidOp sigmoidOp,
ONNXSigmoidOpAdaptor adaptor,
ConversionPatternRewriter& rewriter) const override {
Location loc = sigmoidOp.getLoc();
Type resultType = sigmoidOp.getResult().getType();
constexpr size_t numInputs = 1;
auto computeOp = createSpatCompute<numInputs>(rewriter, loc, resultType, {}, adaptor.getX(), [&](Value x) {
auto spatSigmoidOp = spatial::SpatSigmoidOp::create(rewriter, loc, resultType, x);
spatial::SpatYieldOp::create(rewriter, loc, spatSigmoidOp.getResult());
});
rewriter.replaceOp(sigmoidOp, computeOp);
return success();
}
};
} // namespace
void populateSigmoidPatterns(RewritePatternSet& patterns, MLIRContext* ctx) {
patterns.add<SigmoidToSpatialCompute>(ctx);
}
} // namespace onnx_mlir