refactor

src/PIM/Conversion/ONNXToSpatial/Patterns/Math/ConvGeometry.hpp

@@ -0,0 +1,86 @@
+#pragma once
+
+#include "mlir/IR/BuiltinTypes.h"
+#include "mlir/IR/Value.h"
+
+#include <cstdint>
+
+namespace onnx_mlir {
+
+struct ConvLoweringState {
+  mlir::Value x;
+  mlir::Value w;
+  mlir::Value b;
+  mlir::RankedTensorType xType;
+  mlir::RankedTensorType wType;
+  mlir::RankedTensorType outType;
+  int64_t batchSize;
+  int64_t numChannelsIn;
+  int64_t xHeight;
+  int64_t xWidth;
+  int64_t numChannelsOut;
+  int64_t wHeight;
+  int64_t wWidth;
+  int64_t outHeight;
+  int64_t outWidth;
+  int64_t group;
+  int64_t numChannelsInPerGroup;
+  int64_t numChannelsOutPerGroup;
+  int64_t padHeightBegin;
+  int64_t padHeightEnd;
+  int64_t padWidthBegin;
+  int64_t padWidthEnd;
+  int64_t strideHeight;
+  int64_t strideWidth;
+  int64_t dilationHeight;
+  int64_t dilationWidth;
+  bool hasBias;
+};
+
+struct ConvGeometry {
+  int64_t batchSize;
+  int64_t numChannelsIn;
+  int64_t xHeight;
+  int64_t xWidth;
+  int64_t numChannelsOut;
+  int64_t wHeight;
+  int64_t wWidth;
+  int64_t outHeight;
+  int64_t outWidth;
+  int64_t group;
+  int64_t numChannelsInPerGroup;
+  int64_t numChannelsOutPerGroup;
+  int64_t k;
+  int64_t c;
+  int64_t p;
+  int64_t xbarSize;
+  int64_t pack;
+  uint64_t im2colElements;
+  bool hasBias;
+  bool isDepthwise;
+};
+
+struct RowInterval {
+  int64_t begin = 0;
+  int64_t end = 0;
+};
+
+struct ConvRowDemand {
+  RowInterval outputRows;
+  RowInterval neededInputRows;
+  RowInterval acquiredInputRows;
+  int64_t topHaloRows = 0;
+  int64_t bottomHaloRows = 0;
+};
+
+bool isDepthwiseConv(int64_t group, int64_t numChannelsIn, int64_t numChannelsOut, int64_t numChannelsInPerGroup);
+
+ConvGeometry buildConvGeometry(const ConvLoweringState& state);
+
+uint64_t chooseStreamChunkPositions(const ConvGeometry& geo, int64_t packFactor);
+
+RowInterval computeConvInputRowsForOutputRows(RowInterval outputRows, const ConvLoweringState& state);
+
+ConvRowDemand buildConvRowDemand(RowInterval outputRows, const ConvLoweringState& state);
+
+} // namespace onnx_mlir