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/ConversionPatterns.cpp

@@ -0,0 +1,32 @@
+#include "src/Accelerators/PIM/Conversion/ONNXToSpatial/Common/Common.hpp"
+#include "src/Accelerators/PIM/Conversion/ONNXToSpatial/ConversionPatterns.hpp"
+
+using namespace mlir;
+
+namespace onnx_mlir {
+
+namespace {
+
+#include "src/Accelerators/PIM/Conversion/ONNXToSpatial/ONNXToSpatial.hpp.inc"
+
+} // namespace
+
+void populateConversionPatterns(mlir::RewritePatternSet& patterns, mlir::MLIRContext* ctx) {
+  patterns.add<removeLRN>(ctx);
+
+  populateElementwisePatterns(patterns, ctx);
+  populateGemmPatterns(patterns, ctx);
+  populateConvPatterns(patterns, ctx);
+  populatePoolPatterns(patterns, ctx);
+  populateReduceMeanPatterns(patterns, ctx);
+  populateReluPatterns(patterns, ctx);
+  populateSigmoidPatterns(patterns, ctx);
+  populateSoftmaxPatterns(patterns, ctx);
+  populateConcatPatterns(patterns, ctx);
+  populateGatherPatterns(patterns, ctx);
+  populateResizePatterns(patterns, ctx);
+  populateReshapePatterns(patterns, ctx);
+  populateSplitPatterns(patterns, ctx);
+}
+
+} // namespace onnx_mlir