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TheRock/compiler/amd-llvm/flang/test/Lower/CUDA/cuda-gpu-managed-without-fcuda.f90
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derek.holloway 7502bf64a4
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60 lines
1.9 KiB
Fortran

! RUN: bbc -emit-hlfir -gpu=managed %s -o - | FileCheck %s
! RUN: bbc -emit-hlfir -gpu=mem:managed %s -o - | FileCheck %s
! Test that -gpu=managed (a.k.a. -gpu=mem:managed) does NOT implicitly tag
! plain Fortran allocatables as CUDA managed when CUDA Fortran is not
! enabled. The implicit-managed tagging is a CUDA Fortran convenience and
! should only fire when -fcuda is also in effect (or the source is .cuf).
! Otherwise, a non-CUDA-Fortran translation unit (e.g. pure OpenACC code
! compiled with -gpu=mem:managed by the driver) would route every
! allocatable through the CUDA Fortran managed descriptor pipeline and
! crash at runtime in cudaGetSymbolAddress.
subroutine test_no_implicit_managed()
real, allocatable :: a(:)
allocate(a(100))
a = 1.0
deallocate(a)
end subroutine
subroutine test_no_implicit_managed_multidim()
real, allocatable :: arr(:,:,:)
allocate(arr(10,20,30))
arr = 0.0
deallocate(arr)
end subroutine
module mod_no_managed
real, allocatable :: g(:)
end module
subroutine test_no_implicit_managed_module()
use mod_no_managed
allocate(g(50))
deallocate(g)
end subroutine
! CHECK-LABEL: func.func @_QPtest_no_implicit_managed()
! CHECK-NOT: cuf.alloc
! CHECK-NOT: data_attr = #cuf.cuda<managed>
! CHECK-NOT: allocator_idx = 3
! CHECK-NOT: cuf.allocate
! CHECK-NOT: cuf.deallocate
! CHECK-NOT: cuf.free
! CHECK-LABEL: func.func @_QPtest_no_implicit_managed_multidim()
! CHECK-NOT: cuf.alloc
! CHECK-NOT: data_attr = #cuf.cuda<managed>
! CHECK-NOT: allocator_idx = 3
! CHECK-LABEL: func.func @_QPtest_no_implicit_managed_module()
! CHECK-NOT: cuf.allocate
! CHECK-NOT: cuf.deallocate
! CHECK-NOT: data_attr = #cuf.cuda<managed>
! CHECK-NOT: allocator_idx = 3
! Module global must not be tagged as managed either.
! CHECK: fir.global @_QMmod_no_managedEg
! CHECK-NOT: data_attr = #cuf.cuda<managed>
! CHECK-NOT: allocator_idx = 3