[Mlir-commits] [clang] [mlir] [OpenACC][CIR] Implement 'private' clause lowering. (PR #151360)

[Erich Keane]

================
@@ -355,6 +356,110 @@ class OpenACCClauseCIREmitter final
     }
   }
 
+  template <typename RecipeTy>
+  RecipeTy getOrCreateRecipe(ASTContext &astCtx, const Expr *varRef,
+                             DeclContext *dc, QualType baseType,
+                             mlir::Value mainOp) {
+    mlir::ModuleOp mod =
+        builder.getBlock()->getParent()->getParentOfType<mlir::ModuleOp>();
+
+    std::string recipeName;
+    {
+      llvm::raw_string_ostream stream(recipeName);
+      if constexpr (std::is_same_v<RecipeTy, mlir::acc::PrivateRecipeOp>) {
+        stream << "privatization_";
+      } else if constexpr (std::is_same_v<RecipeTy,
+                                          mlir::acc::FirstprivateRecipeOp>) {
+        stream << "firstprivatization_";
+
+      } else if constexpr (std::is_same_v<RecipeTy,
+                                          mlir::acc::ReductionRecipeOp>) {
+        stream << "reduction_";
+        // We don't have the reduction operation here well enough to know how to
+        // spell this correctly (+ == 'add', etc), so when we implement
+        // 'reduction' we have to do that here.
+        cgf.cgm.errorNYI(varRef->getSourceRange(),
+                         "OpeNACC reduction recipe creation");
+      } else {
+        static_assert(!sizeof(RecipeTy), "Unknown Recipe op kind");
+      }
+
+      MangleContext &mc = cgf.cgm.getCXXABI().getMangleContext();
+      mc.mangleCanonicalTypeName(baseType, stream);
+    }
+
+    if (auto recipe = mod.lookupSymbol<RecipeTy>(recipeName))
+      return recipe;
+
+    mlir::Location loc = cgf.cgm.getLoc(varRef->getBeginLoc());
+    mlir::Location locEnd = cgf.cgm.getLoc(varRef->getEndLoc());
+
+    mlir::OpBuilder modBuilder(mod.getBodyRegion());
+    auto recipe =
+        modBuilder.create<RecipeTy>(loc, recipeName, mainOp.getType());
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erichkeane wrote:

Yeah, that makes sense!  Thanks for pointing them all out.

https://github.com/llvm/llvm-project/pull/151360