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/ONNXToSpatial/Common/WeightMaterialization.cpp

@@ -5,12 +5,12 @@
 #include "mlir/IR/Value.h"
 #include "mlir/Support/LogicalResult.h"
 
+#include "llvm/ADT/STLExtras.h"
 #include "llvm/ADT/SmallPtrSet.h"
 #include "llvm/ADT/SmallVector.h"
-#include "llvm/ADT/STLExtras.h"
 
-#include "WeightMaterialization.hpp"
 #include "ShapeTilingUtils.hpp"
+#include "WeightMaterialization.hpp"
 #include "src/Accelerators/PIM/Common/IR/WeightUtils.hpp"
 #include "src/Dialect/ONNX/ONNXOps.hpp"
 
@@ -28,7 +28,7 @@ bool isWeightLikeComputeOperand(Value value) {
   while (auto* definingOp = value.getDefiningOp()) {
     if (!visited.insert(definingOp).second)
       return false;
-    if (hasWeightAlways(definingOp))
+    if (isa<arith::ConstantOp, ONNXConstantOp>(definingOp) || hasWeightAlways(definingOp))
       return true;
 
     if (auto extractSliceOp = dyn_cast<tensor::ExtractSliceOp>(definingOp)) {