huge refactor for high RewritePatterns usage and less ad-hoc cpp code

remove Spatial many ops in favor of tensor ops like in pim

src/PIM/Conversion/SpatialToPim/ComputeLikeRegionUtils.cpp

@@ -0,0 +1,44 @@
+#include "src/Accelerators/PIM/Conversion/SpatialToPim/ComputeLikeRegionUtils.hpp"
+#include "src/Accelerators/PIM/Dialect/Spatial/SpatialOps.hpp"
+
+using namespace mlir;
+
+namespace onnx_mlir {
+
+std::optional<unsigned> getDirectComputeLikeInputIndex(Operation* owner, unsigned operandNumber) {
+  auto getInputIndex = [operandNumber](Operation* op, unsigned inputCount) -> std::optional<unsigned> {
+    if (inputCount == 0)
+      return std::nullopt;
+    unsigned inputBegin = op->getNumOperands() - inputCount;
+    if (operandNumber < inputBegin)
+      return std::nullopt;
+    return operandNumber - inputBegin;
+  };
+
+  if (auto compute = dyn_cast<spatial::SpatCompute>(owner))
+    return getInputIndex(owner, compute.getInputs().size());
+
+  if (auto computeBatch = dyn_cast<spatial::SpatComputeBatch>(owner))
+    return getInputIndex(owner, computeBatch.getInputs().size());
+
+  return std::nullopt;
+}
+
+void replaceAndEraseDirectComputeLikeInput(PatternRewriter& rewriter,
+                                           Operation* owner,
+                                           unsigned inputIndex,
+                                           Value replacement) {
+  Block& body = owner->getRegion(0).front();
+  BlockArgument bodyArgument = body.getArgument(inputIndex);
+
+  rewriter.startOpModification(owner);
+  bodyArgument.replaceAllUsesWith(replacement);
+  if (auto compute = dyn_cast<spatial::SpatCompute>(owner))
+    compute.getInputsMutable().erase(inputIndex);
+  else
+    cast<spatial::SpatComputeBatch>(owner).getInputsMutable().erase(inputIndex);
+  body.eraseArgument(inputIndex);
+  rewriter.finalizeOpModification(owner);
+}
+
+} // namespace onnx_mlir