centralize logic for materializing contiguous memory into bufferization

fix codegen symlinks overwrite
remove deprecated pim memcp_hd_batch op

src/PIM/Conversion/SpatialToPim/Common.cpp

@@ -1,10 +1,8 @@
 #include "mlir/IR/ValueRange.h"
 
 #include "llvm/ADT/STLExtras.h"
-#include "llvm/ADT/StringRef.h"
 
 #include <cassert>
-#include <cstddef>
 
 #include "Common.hpp"
 
@@ -13,48 +11,6 @@ using namespace mlir;
 
 namespace onnx_mlir {
 
-size_t getSliceActualOffset(tensor::ExtractSliceOp& sliceOp, ShapedType& inputShape) {
-  /*
-    EXAMPLE RUN:
-    [1, 10, 3, 4] inputShape
-    [0, 2, 1, 3] offsets
-
-    acc = 1
-    ---
-    ret = 3
-    acc = 4
-    ---
-    ret = 3 + 4 * 1 = 7
-    acc = 12
-    ---
-    ret = 7 + 12 * 2 = 31
-    acc = 120
-    ---
-    ret = 31 + 120 * 0 = 31
-    acc = 120
-  */
-
-  size_t returnValue = 0;
-
-  auto sliceOffsets = sliceOp.getStaticOffsets();
-  auto inputDimSizes = inputShape.getShape();
-
-  assert(sliceOffsets.size() == inputDimSizes.size());
-
-  size_t accumulatedDimensionSize = 1;
-
-  // Reverse iterate the two vectors
-  for (auto it : reverse(zip(sliceOffsets, inputDimSizes))) {
-    auto curSliceOffset = std::get<0>(it);
-    auto curInputDimSize = std::get<1>(it);
-
-    returnValue += accumulatedDimensionSize * curSliceOffset;
-    accumulatedDimensionSize *= curInputDimSize;
-  }
-
-  return returnValue;
-}
-
 IntegerAttr getTensorSizeInBytesAttr(Builder& builder, mlir::Value value) {
   return builder.getI32IntegerAttr(static_cast<int32_t>(getShapedTypeSizeInBytes(cast<ShapedType>(value.getType()))));
 }