[flang-commits] [flang] [Flang][OpenMP] Separate creation of work-sharing and SIMD loops, NFC (PR #77757)

[Sergio Afonso via flang-commits]

================
@@ -2968,24 +2968,150 @@ genOMP(Fortran::lower::AbstractConverter &converter,
       standaloneConstruct.u);
 }
 
-static void genOMP(Fortran::lower::AbstractConverter &converter,
-                   Fortran::lower::pft::Evaluation &eval,
-                   Fortran::semantics::SemanticsContext &semanticsContext,
-                   const Fortran::parser::OpenMPLoopConstruct &loopConstruct) {
+static void
+createSimdLoop(Fortran::lower::AbstractConverter &converter,
+               Fortran::lower::pft::Evaluation &eval,
+               llvm::omp::Directive ompDirective,
+               const Fortran::parser::OmpClauseList &loopOpClauseList,
+               mlir::Location loc) {
   fir::FirOpBuilder &firOpBuilder = converter.getFirOpBuilder();
-  llvm::SmallVector<mlir::Value> lowerBound, upperBound, step, linearVars,
-      linearStepVars, reductionVars;
+  DataSharingProcessor dsp(converter, loopOpClauseList, eval);
+  dsp.processStep1();
+
+  Fortran::lower::StatementContext stmtCtx;
   mlir::Value scheduleChunkClauseOperand;
-  mlir::IntegerAttr orderedClauseOperand;
+  llvm::SmallVector<mlir::Value> lowerBound, upperBound, step, reductionVars;
+  llvm::SmallVector<const Fortran::semantics::Symbol *> iv;
+  llvm::SmallVector<mlir::Attribute> reductionDeclSymbols;
+  mlir::omp::ClauseOrderKindAttr orderClauseOperand;
+  std::size_t loopVarTypeSize;
+
+  ClauseProcessor cp(converter, loopOpClauseList);
+  cp.processCollapse(loc, eval, lowerBound, upperBound, step, iv,
+                     loopVarTypeSize);
+  cp.processScheduleChunk(stmtCtx, scheduleChunkClauseOperand);
+  cp.processReduction(loc, reductionVars, reductionDeclSymbols);
+  cp.processTODO<Fortran::parser::OmpClause::Linear,
+                 Fortran::parser::OmpClause::Order>(loc, ompDirective);
+
+  // The types of lower bound, upper bound, and step are converted into the
+  // type of the loop variable if necessary.
+  mlir::Type loopVarType = getLoopVarType(converter, loopVarTypeSize);
+  for (unsigned it = 0; it < (unsigned)lowerBound.size(); it++) {
+    lowerBound[it] =
+        firOpBuilder.createConvert(loc, loopVarType, lowerBound[it]);
+    upperBound[it] =
+        firOpBuilder.createConvert(loc, loopVarType, upperBound[it]);
+    step[it] = firOpBuilder.createConvert(loc, loopVarType, step[it]);
+  }
----------------
skatrak wrote:

Yes, I think that makes sense. Thanks!

https://github.com/llvm/llvm-project/pull/77757