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153 lines
6.3 KiB
Fortran
153 lines
6.3 KiB
Fortran
! This test checks lowering of OpenMP DISTRIBUTE PARALLEL DO SIMD composite
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! constructs.
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! RUN: bbc -fopenmp -emit-hlfir %s -o - | FileCheck %s --check-prefixes=CHECK,DEFAULT
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! RUN: %flang_fc1 -fopenmp -emit-hlfir %s -o - | FileCheck %s --check-prefixes=CHECK,DEFAULT
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! RUN: bbc -fopenmp -fopenmp-version=52 -emit-hlfir %s -o - | FileCheck %s --check-prefixes=CHECK,OPENMP52
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! RUN: %flang_fc1 -fopenmp -fopenmp-version=52 -emit-hlfir %s -o - | FileCheck %s --check-prefixes=CHECK,OPENMP52
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! CHECK-LABEL: func.func @_QPdistribute_parallel_do_simd_num_threads(
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subroutine distribute_parallel_do_simd_num_threads()
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!$omp teams
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! CHECK: omp.parallel num_threads({{.*}}) {
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! CHECK: omp.distribute {
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! CHECK-NEXT: omp.wsloop {
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! DEFAULT-NEXT: omp.simd linear({{.*}}) {
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! OPENMP52-NEXT: omp.simd linear(val({{.*}})) {
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! CHECK-NEXT: omp.loop_nest
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!$omp distribute parallel do simd num_threads(10)
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do index_ = 1, 10
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end do
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!$omp end distribute parallel do simd
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!$omp end teams
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end subroutine distribute_parallel_do_simd_num_threads
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! CHECK-LABEL: func.func @_QPdistribute_parallel_do_simd_dist_schedule(
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subroutine distribute_parallel_do_simd_dist_schedule()
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!$omp teams
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! CHECK: omp.parallel {
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! CHECK: omp.distribute dist_schedule_static dist_schedule_chunk_size({{.*}}) {
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! CHECK-NEXT: omp.wsloop {
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! DEFAULT-NEXT: omp.simd linear({{.*}}) {
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! OPENMP52-NEXT: omp.simd linear(val({{.*}})) {
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! CHECK-NEXT: omp.loop_nest
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!$omp distribute parallel do simd dist_schedule(static, 4)
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do index_ = 1, 10
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end do
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!$omp end distribute parallel do simd
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!$omp end teams
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end subroutine distribute_parallel_do_simd_dist_schedule
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! CHECK-LABEL: func.func @_QPdistribute_parallel_do_simd_schedule(
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subroutine distribute_parallel_do_simd_schedule()
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!$omp teams
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! CHECK: omp.parallel {
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! CHECK: omp.distribute {
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! CHECK-NEXT: omp.wsloop schedule(static = {{.*}}) {
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! DEFAULT-NEXT: omp.simd linear({{.*}}) {
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! OPENMP52-NEXT: omp.simd linear(val({{.*}})) {
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! CHECK-NEXT: omp.loop_nest
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!$omp distribute parallel do simd schedule(static, 4)
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do index_ = 1, 10
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end do
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!$omp end distribute parallel do simd
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!$omp end teams
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end subroutine distribute_parallel_do_simd_schedule
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! CHECK-LABEL: func.func @_QPdistribute_parallel_do_simd_simdlen(
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subroutine distribute_parallel_do_simd_simdlen()
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!$omp teams
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! CHECK: omp.parallel {
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! CHECK: omp.distribute {
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! CHECK-NEXT: omp.wsloop {
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! DEFAULT-NEXT: omp.simd linear({{.*}}) simdlen(4) {
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! OPENMP52-NEXT: omp.simd linear(val({{.*}})) simdlen(4) {
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! CHECK-NEXT: omp.loop_nest
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!$omp distribute parallel do simd simdlen(4)
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do index_ = 1, 10
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end do
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!$omp end distribute parallel do simd
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!$omp end teams
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end subroutine distribute_parallel_do_simd_simdlen
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! CHECK-LABEL: func.func @_QPdistribute_parallel_do_simd_private(
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subroutine distribute_parallel_do_simd_private()
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! CHECK: %[[INDEX_ALLOC:.*]] = fir.alloca i32
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! CHECK: %[[INDEX:.*]]:2 = hlfir.declare %[[INDEX_ALLOC]]
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! CHECK: %[[X_ALLOC:.*]] = fir.alloca i64
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! CHECK: %[[X:.*]]:2 = hlfir.declare %[[X_ALLOC]]
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integer(8) :: x
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! CHECK: omp.teams {
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!$omp teams
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! CHECK: omp.parallel {
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! CHECK: omp.distribute {
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! CHECK-NEXT: omp.wsloop {
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! DEFAULT-NEXT: omp.simd linear(val(%{{.*}})) private(@{{.*}} %[[X]]#0 -> %[[X_ARG:[^:]+]]
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! DEFAULT-SAME: : !fir.ref<i64>) {
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! OPENMP52-NEXT: omp.simd linear(val(%{{.*}})) private(@{{.*}} %[[X]]#0 -> %[[X_ARG:[^:]+]]
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! OPENMP52-SAME: : !fir.ref<i64>) {
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! CHECK-NEXT: omp.loop_nest
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! CHECK: %[[X_PRIV:.*]]:2 = hlfir.declare %[[X_ARG]]
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!$omp distribute parallel do simd private(x)
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do index_ = 1, 10
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end do
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!$omp end distribute parallel do simd
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!$omp end teams
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end subroutine distribute_parallel_do_simd_private
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! CHECK-LABEL: func.func @_QPlastprivate_cond_in_composite_construct
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subroutine lastprivate_cond_in_composite_construct(x_min, x_max, y_min, y_max)
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implicit none
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integer :: x_min,x_max,y_min,y_max
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integer :: i,j
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! CHECK: omp.target {{.*}} {
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! CHECK: %[[X_MAX_MAPPED:.*]]:2 = hlfir.declare %{{.*}} {uniq_name = "{{.*}}x_max"}
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! CHECK: omp.teams {
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! CHECK: omp.parallel {
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! CHECK: omp.distribute {
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! CHECK: omp.wsloop {
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! CHECK: omp.simd private({{.*}}) {
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! CHECK: omp.loop_nest (%[[I_IV:.*]], %[[J_IV:.*]]) : i32 = ({{.*}}) to ({{.*}}) inclusive step ({{.*}}) collapse(2) {
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! CHECK: %[[Y_MAX_PRIV:.*]]:2 = hlfir.declare %{{.*}} {uniq_name = "{{.*}}y_max"}
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! CHECK: %[[I_UB:.*]] = fir.load %[[X_MAX_MAPPED]]#0 : !fir.ref<i32>
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! CHECK: %[[I_STEP:.*]] = arith.constant 1 : i32
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! CHECK: %[[J_UB:.*]] = fir.load %[[Y_MAX_PRIV]]#0 : !fir.ref<i32>
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! CHECK: %[[J_STEP:.*]] = arith.constant 1 : i32
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! CHECK: %[[VAL_55:.*]] = arith.addi %[[I_IV]], %[[I_STEP]] : i32
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! CHECK: %[[VAL_56:.*]] = arith.constant 0 : i32
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! CHECK: %[[VAL_57:.*]] = arith.cmpi slt, %[[I_STEP]], %[[VAL_56]] : i32
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! CHECK: %[[VAL_58:.*]] = arith.cmpi slt, %[[VAL_55]], %[[I_UB]] : i32
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! CHECK: %[[VAL_59:.*]] = arith.cmpi sgt, %[[VAL_55]], %[[I_UB]] : i32
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! CHECK: %[[VAL_60:.*]] = arith.select %[[VAL_57]], %[[VAL_58]], %[[VAL_59]] : i1
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! CHECK: %[[VAL_61:.*]] = arith.addi %[[J_IV]], %[[J_STEP]] : i32
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! CHECK: %[[VAL_62:.*]] = arith.constant 0 : i32
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! CHECK: %[[VAL_63:.*]] = arith.cmpi slt, %[[J_STEP]], %[[VAL_62]] : i32
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! CHECK: %[[VAL_64:.*]] = arith.cmpi slt, %[[VAL_61]], %[[J_UB]] : i32
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! CHECK: %[[VAL_65:.*]] = arith.cmpi sgt, %[[VAL_61]], %[[J_UB]] : i32
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! CHECK: %[[VAL_66:.*]] = arith.select %[[VAL_63]], %[[VAL_64]], %[[VAL_65]] : i1
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! CHECK: %[[LASTPRIV_CMP:.*]] = arith.andi %[[VAL_60]], %[[VAL_66]] : i1
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! CHECK: fir.if %[[LASTPRIV_CMP]] {
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!$omp target teams distribute parallel do simd collapse(2) private(y_max)
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do i=x_min,x_max
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do j=y_min,y_max
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enddo
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enddo
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end subroutine
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