[flang] Support polymorphic inputs for the TRANSPOSE intrinsic

Force TRANSPOSE with polymorphic inputs through the runtime call
and carry the polymorphic type information from the matrix to
the result.

Reviewed By: jeanPerier

Differential Revision: https://reviews.llvm.org/D143709

flang/lib/Lower/ConvertExpr.cpp

@@ -621,8 +621,13 @@ isOptimizableTranspose(const Fortran::evaluate::ProcedureRef &procRef,
                        const Fortran::lower::AbstractConverter &converter) {
   const Fortran::evaluate::SpecificIntrinsic *intrin =
       procRef.proc().GetSpecificIntrinsic();
-  return isTransposeOptEnabled(converter) && intrin &&
-         intrin->name == "transpose";
+  if (isTransposeOptEnabled(converter) && intrin &&
+      intrin->name == "transpose") {
+    const std::optional<Fortran::evaluate::ActualArgument> matrix =
+        procRef.arguments().at(0);
+    return !(matrix && matrix->GetType() && matrix->GetType()->IsPolymorphic());
+  }
+  return false;
 }
 
 template <typename T>

flang/lib/Optimizer/Builder/IntrinsicCall.cpp

@@ -4967,8 +4967,9 @@ IntrinsicLibrary::genTranspose(mlir::Type resultType,
 
   // Create mutable fir.box to be passed to the runtime for the result.
   mlir::Type resultArrayType = builder.getVarLenSeqTy(resultType, 2);
-  fir::MutableBoxValue resultMutableBox =
-      fir::factory::createTempMutableBox(builder, loc, resultArrayType);
+  fir::MutableBoxValue resultMutableBox = fir::factory::createTempMutableBox(
+      builder, loc, resultArrayType, {},
+      fir::isPolymorphicType(source.getType()) ? source : mlir::Value{});
   mlir::Value resultIrBox =
       fir::factory::getMutableIRBox(builder, loc, resultMutableBox);
   // Call runtime. The runtime is allocating the result.

flang/test/Lower/polymorphic-temp.f90

@@ -102,14 +102,14 @@ subroutine test_temp_from_intrinsic_pack(i, mask)
 ! CHECK: %[[MASK_BOX_NONE:.*]] = fir.convert %[[EMBOXED_MASK]] : (!fir.box<!fir.array<20x20x!fir.logical<4>>>) -> !fir.box<none>
 ! CHECK: %{{.*}} = fir.call @_FortranAPack(%[[RES_BOX_NONE]], %[[I_BOX_NONE]], %[[MASK_BOX_NONE]], %{{.*}}, %{{.*}}, %{{.*}}) {{.*}} : (!fir.ref<!fir.box<none>>, !fir.box<none>, !fir.box<none>, !fir.box<none>, !fir.ref<i8>, i32) -> none
 
-  subroutine check_unpack(r)
+  subroutine check_rank2(r)
     class(p1), intent(in) :: r(:,:)
   end subroutine
 
   subroutine test_temp_from_unpack(v, m, f)
     class(p1), intent(in) :: v(:), f(:,:)
     logical, intent(in) :: m(:,:)
-    call check_unpack(unpack(v,m,f))
+    call check_rank2(unpack(v,m,f))
   end subroutine
 
 ! CHECK-LABEL: func.func @_QMpoly_tmpPtest_temp_from_unpack(
@@ -173,4 +173,16 @@ subroutine test_temp_from_intrinsic_transfer(source, mold)
 ! CHECK: %[[MOLD_NONE:.*]] = fir.convert %[[MOLD]] : (!fir.class<!fir.array<?x!fir.type<_QMpoly_tmpTp1{a:i32}>>>) -> !fir.box<none>
 ! CHECK: %{{.*}} = fir.call @_FortranATransfer(%[[RES_BOX_NONE]], %[[SOURCE_NONE]], %[[MOLD_NONE]], %{{.*}}, %{{.*}}) {{.*}} : (!fir.ref<!fir.box<none>>, !fir.box<none>, !fir.box<none>, !fir.ref<i8>, i32) -> none
 
+  subroutine test_temp_from_intrinsic_transpose(matrix)
+    class(p1), intent(in) :: matrix(:,:)
+    call check_rank2(transpose(matrix))
+  end subroutine
+
+! CHECK-LABEL: func.func @_QMpoly_tmpPtest_temp_from_intrinsic_transpose(
+! CHECK-SAME: %[[MATRIX:.*]]: !fir.class<!fir.array<?x?x!fir.type<_QMpoly_tmpTp1{a:i32}>>> {fir.bindc_name = "matrix"}) {
+! CHECK: %[[TMP_RES:.*]] = fir.alloca !fir.class<!fir.heap<!fir.array<?x?x!fir.type<_QMpoly_tmpTp1{a:i32}>>>>
+! CHECK: %[[RES_BOX_NONE:.*]] = fir.convert %[[TMP_RES]] : (!fir.ref<!fir.class<!fir.heap<!fir.array<?x?x!fir.type<_QMpoly_tmpTp1{a:i32}>>>>>) -> !fir.ref<!fir.box<none>>
+! CHECK: %[[MATRIX_NONE:.*]] = fir.convert %[[MATRIX]] : (!fir.class<!fir.array<?x?x!fir.type<_QMpoly_tmpTp1{a:i32}>>>) -> !fir.box<none>
+! CHECK: %{{.*}} = fir.call @_FortranATranspose(%[[RES_BOX_NONE]], %[[MATRIX_NONE]], %{{.*}}, %{{.*}}) {{.*}} : (!fir.ref<!fir.box<none>>, !fir.box<none>, !fir.ref<i8>, i32) -> none
+
 end module