fd71a9a24d
gcc/c/ * c-parser.c (OACC_KERNELS_CLAUSE_MASK): Add "PRAGMA_OACC_CLAUSE_NUM_GANGS", "PRAGMA_OACC_CLAUSE_NUM_WORKERS", "VECTOR_LENGTH". gcc/cp/ * parser.c (OACC_KERNELS_CLAUSE_MASK): Add "PRAGMA_OACC_CLAUSE_NUM_GANGS", "PRAGMA_OACC_CLAUSE_NUM_WORKERS", "VECTOR_LENGTH". gcc/fortran/ * openmp.c (OACC_KERNELS_CLAUSES): Add "OMP_CLAUSE_NUM_GANGS", "OMP_CLAUSE_NUM_WORKERS", "OMP_CLAUSE_VECTOR_LENGTH". gcc/ * omp-offload.c (execute_oacc_device_lower): Remove the parallelism dimensions function attributes for unparallelized OpenACC kernels constructs. gcc/testsuite/ * c-c++-common/goacc/parallel-dims-1.c: Update. * c-c++-common/goacc/parallel-dims-2.c: Likewise. * c-c++-common/goacc/routine-1.c: Likewise. * c-c++-common/goacc/uninit-dim-clause.c: Likewise. * g++.dg/goacc/template.C: Likewise. * gfortran.dg/goacc/kernels-tree.f95: Likewise. * gfortran.dg/goacc/routine-3.f90: Likewise. * gfortran.dg/goacc/sie.f95: Likewise. * gfortran.dg/goacc/uninit-dim-clause.f95: Likewise. libgomp/ * testsuite/libgomp.oacc-c-c++-common/kernels-loop-2.c: Update. * testsuite/libgomp.oacc-c-c++-common/parallel-dims.c: Likewise. * testsuite/libgomp.oacc-fortran/kernels-loop-2.f95: Likewise. From-SVN: r248370
560 lines
19 KiB
C
560 lines
19 KiB
C
/* OpenACC parallelism dimensions clauses: num_gangs, num_workers,
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vector_length. */
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#include <limits.h>
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#include <openacc.h>
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/* TODO: "(int) acc_device_*" casts because of the C++ acc_on_device wrapper
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not behaving as expected for -O0. */
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#pragma acc routine seq
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static unsigned int __attribute__ ((optimize ("O2"))) acc_gang ()
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{
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if (acc_on_device ((int) acc_device_host))
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return 0;
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else if (acc_on_device ((int) acc_device_nvidia))
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{
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unsigned int r;
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asm volatile ("mov.u32 %0,%%ctaid.x;" : "=r" (r));
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return r;
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}
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else
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__builtin_abort ();
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}
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#pragma acc routine seq
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static unsigned int __attribute__ ((optimize ("O2"))) acc_worker ()
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{
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if (acc_on_device ((int) acc_device_host))
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return 0;
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else if (acc_on_device ((int) acc_device_nvidia))
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{
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unsigned int r;
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asm volatile ("mov.u32 %0,%%tid.y;" : "=r" (r));
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return r;
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}
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else
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__builtin_abort ();
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}
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#pragma acc routine seq
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static unsigned int __attribute__ ((optimize ("O2"))) acc_vector ()
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{
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if (acc_on_device ((int) acc_device_host))
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return 0;
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else if (acc_on_device ((int) acc_device_nvidia))
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{
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unsigned int r;
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asm volatile ("mov.u32 %0,%%tid.x;" : "=r" (r));
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return r;
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}
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else
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__builtin_abort ();
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}
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int main ()
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{
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acc_init (acc_device_default);
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/* Non-positive value. */
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/* GR, WS, VS. */
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{
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#define GANGS 0 /* { dg-warning "'num_gangs' value must be positive" "" { target c } } */
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int gangs_actual = GANGS;
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int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
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gangs_min = workers_min = vectors_min = INT_MAX;
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gangs_max = workers_max = vectors_max = INT_MIN;
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#pragma acc parallel copy (gangs_actual) \
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reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max) \
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num_gangs (GANGS) /* { dg-warning "'num_gangs' value must be positive" "" { target c++ } } */
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{
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/* We're actually executing with num_gangs (1). */
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gangs_actual = 1;
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for (int i = 100 * gangs_actual; i > -100 * gangs_actual; --i)
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{
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/* <https://gcc.gnu.org/PR80547>. */
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#if 0
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gangs_min = gangs_max = acc_gang ();
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workers_min = workers_max = acc_worker ();
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vectors_min = vectors_max = acc_vector ();
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#else
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int gangs = acc_gang ();
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gangs_min = (gangs_min < gangs) ? gangs_min : gangs;
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gangs_max = (gangs_max > gangs) ? gangs_max : gangs;
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int workers = acc_worker ();
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workers_min = (workers_min < workers) ? workers_min : workers;
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workers_max = (workers_max > workers) ? workers_max : workers;
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int vectors = acc_vector ();
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vectors_min = (vectors_min < vectors) ? vectors_min : vectors;
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vectors_max = (vectors_max > vectors) ? vectors_max : vectors;
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#endif
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}
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}
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if (gangs_actual != 1)
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__builtin_abort ();
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if (gangs_min != 0 || gangs_max != gangs_actual - 1
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|| workers_min != 0 || workers_max != 0
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|| vectors_min != 0 || vectors_max != 0)
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__builtin_abort ();
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#undef GANGS
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}
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/* GP, WS, VS. */
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{
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#define GANGS 0 /* { dg-warning "'num_gangs' value must be positive" "" { target c } } */
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int gangs_actual = GANGS;
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int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
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gangs_min = workers_min = vectors_min = INT_MAX;
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gangs_max = workers_max = vectors_max = INT_MIN;
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#pragma acc parallel copy (gangs_actual) \
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num_gangs (GANGS) /* { dg-warning "'num_gangs' value must be positive" "" { target c++ } } */
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{
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/* We're actually executing with num_gangs (1). */
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gangs_actual = 1;
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#pragma acc loop gang reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
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for (int i = 100 * gangs_actual; i > -100 * gangs_actual; --i)
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{
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gangs_min = gangs_max = acc_gang ();
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workers_min = workers_max = acc_worker ();
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vectors_min = vectors_max = acc_vector ();
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}
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}
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if (gangs_actual != 1)
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__builtin_abort ();
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if (gangs_min != 0 || gangs_max != gangs_actual - 1
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|| workers_min != 0 || workers_max != 0
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|| vectors_min != 0 || vectors_max != 0)
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__builtin_abort ();
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#undef GANGS
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}
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/* GR, WP, VS. */
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{
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#define WORKERS 0 /* { dg-warning "'num_workers' value must be positive" "" { target c } } */
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int workers_actual = WORKERS;
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int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
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gangs_min = workers_min = vectors_min = INT_MAX;
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gangs_max = workers_max = vectors_max = INT_MIN;
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#pragma acc parallel copy (workers_actual) \
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num_workers (WORKERS) /* { dg-warning "'num_workers' value must be positive" "" { target c++ } } */
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{
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/* We're actually executing with num_workers (1). */
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workers_actual = 1;
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#pragma acc loop worker reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
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for (int i = 100 * workers_actual; i > -100 * workers_actual; --i)
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{
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gangs_min = gangs_max = acc_gang ();
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workers_min = workers_max = acc_worker ();
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vectors_min = vectors_max = acc_vector ();
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}
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}
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if (workers_actual != 1)
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__builtin_abort ();
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if (gangs_min != 0 || gangs_max != 0
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|| workers_min != 0 || workers_max != workers_actual - 1
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|| vectors_min != 0 || vectors_max != 0)
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__builtin_abort ();
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#undef WORKERS
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}
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/* GR, WS, VP. */
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{
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#define VECTORS 0 /* { dg-warning "'vector_length' value must be positive" "" { target c } } */
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int vectors_actual = VECTORS;
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int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
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gangs_min = workers_min = vectors_min = INT_MAX;
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gangs_max = workers_max = vectors_max = INT_MIN;
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#pragma acc parallel copy (vectors_actual) /* { dg-warning "using vector_length \\(32\\), ignoring 1" "" { target openacc_nvidia_accel_configured } } */ \
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vector_length (VECTORS) /* { dg-warning "'vector_length' value must be positive" "" { target c++ } } */
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{
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/* We're actually executing with vector_length (1), just the GCC nvptx
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back end enforces vector_length (32). */
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if (acc_on_device (acc_device_nvidia))
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vectors_actual = 32;
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else
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vectors_actual = 1;
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#pragma acc loop vector reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
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for (int i = 100 * vectors_actual; i > -100 * vectors_actual; --i)
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{
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gangs_min = gangs_max = acc_gang ();
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workers_min = workers_max = acc_worker ();
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vectors_min = vectors_max = acc_vector ();
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}
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}
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if (acc_get_device_type () == acc_device_nvidia)
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{
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if (vectors_actual != 32)
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__builtin_abort ();
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}
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else
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if (vectors_actual != 1)
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__builtin_abort ();
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if (gangs_min != 0 || gangs_max != 0
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|| workers_min != 0 || workers_max != 0
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|| vectors_min != 0 || vectors_max != vectors_actual - 1)
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__builtin_abort ();
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#undef VECTORS
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}
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/* High value. */
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/* GR, WS, VS. */
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{
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/* There is no actual limit for the number of gangs, so we try with a
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rather high value. */
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int gangs = 12345;
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int gangs_actual = gangs;
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int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
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gangs_min = workers_min = vectors_min = INT_MAX;
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gangs_max = workers_max = vectors_max = INT_MIN;
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#pragma acc parallel copy (gangs_actual) \
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reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max) \
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num_gangs (gangs)
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{
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if (acc_on_device (acc_device_host))
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{
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/* We're actually executing with num_gangs (1). */
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gangs_actual = 1;
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}
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/* As we're executing GR not GP, don't multiply with a "gangs_actual"
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factor. */
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for (int i = 100 /* * gangs_actual */; i > -100 /* * gangs_actual */; --i)
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{
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gangs_min = gangs_max = acc_gang ();
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workers_min = workers_max = acc_worker ();
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vectors_min = vectors_max = acc_vector ();
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}
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}
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if (gangs_actual < 1)
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__builtin_abort ();
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if (gangs_min != 0 || gangs_max != gangs_actual - 1
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|| workers_min != 0 || workers_max != 0
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|| vectors_min != 0 || vectors_max != 0)
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__builtin_abort ();
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}
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/* GP, WS, VS. */
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{
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/* There is no actual limit for the number of gangs, so we try with a
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rather high value. */
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int gangs = 12345;
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int gangs_actual = gangs;
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int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
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gangs_min = workers_min = vectors_min = INT_MAX;
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gangs_max = workers_max = vectors_max = INT_MIN;
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#pragma acc parallel copy (gangs_actual) \
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num_gangs (gangs)
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{
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if (acc_on_device (acc_device_host))
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{
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/* We're actually executing with num_gangs (1). */
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gangs_actual = 1;
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}
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#pragma acc loop gang reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
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for (int i = 100 * gangs_actual; i > -100 * gangs_actual; --i)
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{
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gangs_min = gangs_max = acc_gang ();
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workers_min = workers_max = acc_worker ();
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vectors_min = vectors_max = acc_vector ();
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}
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}
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if (gangs_actual < 1)
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__builtin_abort ();
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if (gangs_min != 0 || gangs_max != gangs_actual - 1
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|| workers_min != 0 || workers_max != 0
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|| vectors_min != 0 || vectors_max != 0)
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__builtin_abort ();
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}
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/* GR, WP, VS. */
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{
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/* We try with an outrageously large value. */
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#define WORKERS 2 << 20
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int workers_actual = WORKERS;
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int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
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gangs_min = workers_min = vectors_min = INT_MAX;
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gangs_max = workers_max = vectors_max = INT_MIN;
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#pragma acc parallel copy (workers_actual) /* { dg-warning "using num_workers \\(32\\), ignoring 2097152" "" { target openacc_nvidia_accel_configured } } */ \
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num_workers (WORKERS)
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{
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if (acc_on_device (acc_device_host))
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{
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/* We're actually executing with num_workers (1). */
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workers_actual = 1;
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}
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else if (acc_on_device (acc_device_nvidia))
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{
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/* The GCC nvptx back end enforces num_workers (32). */
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workers_actual = 32;
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}
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else
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__builtin_abort ();
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#pragma acc loop worker reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
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for (int i = 100 * workers_actual; i > -100 * workers_actual; --i)
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{
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gangs_min = gangs_max = acc_gang ();
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workers_min = workers_max = acc_worker ();
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vectors_min = vectors_max = acc_vector ();
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}
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}
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if (workers_actual < 1)
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__builtin_abort ();
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if (gangs_min != 0 || gangs_max != 0
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|| workers_min != 0 || workers_max != workers_actual - 1
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|| vectors_min != 0 || vectors_max != 0)
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__builtin_abort ();
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#undef WORKERS
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}
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/* GR, WP, VS. */
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{
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/* We try with an outrageously large value. */
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int workers = 2 << 20;
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/* For nvptx offloading, this one will not result in "using num_workers
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(32), ignoring runtime setting", and will in fact try to launch with
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"num_workers (workers)", which will run into "libgomp: cuLaunchKernel
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error: invalid argument". So, limit ourselves here. */
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if (acc_get_device_type () == acc_device_nvidia)
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workers = 32;
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int workers_actual = workers;
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int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
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gangs_min = workers_min = vectors_min = INT_MAX;
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gangs_max = workers_max = vectors_max = INT_MIN;
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#pragma acc parallel copy (workers_actual) \
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num_workers (workers)
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{
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if (acc_on_device (acc_device_host))
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{
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/* We're actually executing with num_workers (1). */
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workers_actual = 1;
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}
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else if (acc_on_device (acc_device_nvidia))
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{
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/* We're actually executing with num_workers (32). */
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/* workers_actual = 32; */
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}
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else
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__builtin_abort ();
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#pragma acc loop worker reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
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for (int i = 100 * workers_actual; i > -100 * workers_actual; --i)
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{
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gangs_min = gangs_max = acc_gang ();
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workers_min = workers_max = acc_worker ();
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vectors_min = vectors_max = acc_vector ();
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}
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}
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if (workers_actual < 1)
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__builtin_abort ();
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if (gangs_min != 0 || gangs_max != 0
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|| workers_min != 0 || workers_max != workers_actual - 1
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|| vectors_min != 0 || vectors_max != 0)
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__builtin_abort ();
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}
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/* GR, WS, VP. */
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{
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/* We try with an outrageously large value. */
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#define VECTORS 2 << 20
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int vectors_actual = VECTORS;
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int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
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gangs_min = workers_min = vectors_min = INT_MAX;
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gangs_max = workers_max = vectors_max = INT_MIN;
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#pragma acc parallel copy (vectors_actual) /* { dg-warning "using vector_length \\(32\\), ignoring 2097152" "" { target openacc_nvidia_accel_configured } } */ \
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vector_length (VECTORS)
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{
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if (acc_on_device (acc_device_host))
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{
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/* We're actually executing with vector_length (1). */
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vectors_actual = 1;
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}
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else if (acc_on_device (acc_device_nvidia))
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{
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/* The GCC nvptx back end enforces vector_length (32). */
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vectors_actual = 32;
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}
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else
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__builtin_abort ();
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#pragma acc loop vector reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
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for (int i = 100 * vectors_actual; i > -100 * vectors_actual; --i)
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{
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gangs_min = gangs_max = acc_gang ();
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workers_min = workers_max = acc_worker ();
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vectors_min = vectors_max = acc_vector ();
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}
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}
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if (vectors_actual < 1)
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__builtin_abort ();
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if (gangs_min != 0 || gangs_max != 0
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|| workers_min != 0 || workers_max != 0
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|| vectors_min != 0 || vectors_max != vectors_actual - 1)
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__builtin_abort ();
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#undef VECTORS
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}
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/* GR, WS, VP. */
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{
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/* We try with an outrageously large value. */
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int vectors = 2 << 20;
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int vectors_actual = vectors;
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int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
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gangs_min = workers_min = vectors_min = INT_MAX;
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gangs_max = workers_max = vectors_max = INT_MIN;
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#pragma acc parallel copy (vectors_actual) /* { dg-warning "using vector_length \\(32\\), ignoring runtime setting" "" { target openacc_nvidia_accel_configured } } */ \
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vector_length (vectors)
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{
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if (acc_on_device (acc_device_host))
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{
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/* We're actually executing with vector_length (1). */
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vectors_actual = 1;
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}
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else if (acc_on_device (acc_device_nvidia))
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{
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/* The GCC nvptx back end enforces vector_length (32). */
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vectors_actual = 32;
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}
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else
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__builtin_abort ();
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#pragma acc loop vector reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
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for (int i = 100 * vectors_actual; i > -100 * vectors_actual; --i)
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{
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gangs_min = gangs_max = acc_gang ();
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workers_min = workers_max = acc_worker ();
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vectors_min = vectors_max = acc_vector ();
|
|
}
|
|
}
|
|
if (vectors_actual < 1)
|
|
__builtin_abort ();
|
|
if (gangs_min != 0 || gangs_max != 0
|
|
|| workers_min != 0 || workers_max != 0
|
|
|| vectors_min != 0 || vectors_max != vectors_actual - 1)
|
|
__builtin_abort ();
|
|
}
|
|
|
|
|
|
/* Composition of GP, WP, VP. */
|
|
{
|
|
int gangs = 12345;
|
|
/* With nvptx offloading, multi-level reductions apparently are very slow
|
|
in the following case. So, limit ourselves here. */
|
|
if (acc_get_device_type () == acc_device_nvidia)
|
|
gangs = 3;
|
|
int gangs_actual = gangs;
|
|
#define WORKERS 3
|
|
int workers_actual = WORKERS;
|
|
#define VECTORS 11
|
|
int vectors_actual = VECTORS;
|
|
int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
|
|
gangs_min = workers_min = vectors_min = INT_MAX;
|
|
gangs_max = workers_max = vectors_max = INT_MIN;
|
|
#pragma acc parallel copy (gangs_actual, workers_actual, vectors_actual) /* { dg-warning "using vector_length \\(32\\), ignoring 11" "" { target openacc_nvidia_accel_configured } } */ \
|
|
num_gangs (gangs) \
|
|
num_workers (WORKERS) \
|
|
vector_length (VECTORS)
|
|
{
|
|
if (acc_on_device (acc_device_host))
|
|
{
|
|
/* We're actually executing with num_gangs (1), num_workers (1),
|
|
vector_length (1). */
|
|
gangs_actual = 1;
|
|
workers_actual = 1;
|
|
vectors_actual = 1;
|
|
}
|
|
else if (acc_on_device (acc_device_nvidia))
|
|
{
|
|
/* The GCC nvptx back end enforces vector_length (32). */
|
|
vectors_actual = 32;
|
|
}
|
|
else
|
|
__builtin_abort ();
|
|
#pragma acc loop gang reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
|
|
for (int i = 100 * gangs_actual; i > -100 * gangs_actual; --i)
|
|
#pragma acc loop worker reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
|
|
for (int j = 100 * workers_actual; j > -100 * workers_actual; --j)
|
|
#pragma acc loop vector reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
|
|
for (int k = 100 * vectors_actual; k > -100 * vectors_actual; --k)
|
|
{
|
|
gangs_min = gangs_max = acc_gang ();
|
|
workers_min = workers_max = acc_worker ();
|
|
vectors_min = vectors_max = acc_vector ();
|
|
}
|
|
}
|
|
if (gangs_min != 0 || gangs_max != gangs_actual - 1
|
|
|| workers_min != 0 || workers_max != workers_actual - 1
|
|
|| vectors_min != 0 || vectors_max != vectors_actual - 1)
|
|
__builtin_abort ();
|
|
#undef VECTORS
|
|
#undef WORKERS
|
|
}
|
|
|
|
|
|
/* We can't test parallelized OpenACC kernels constructs in this way: use of
|
|
the acc_gang, acc_worker, acc_vector functions will make the construct
|
|
unparallelizable. */
|
|
|
|
|
|
/* Unparallelized OpenACC kernels constructs must get launched as 1 x 1 x 1
|
|
kernels. */
|
|
{
|
|
int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
|
|
gangs_min = workers_min = vectors_min = INT_MAX;
|
|
gangs_max = workers_max = vectors_max = INT_MIN;
|
|
#pragma acc kernels
|
|
{
|
|
/* This is to make the OpenACC kernels construct unparallelizable. */
|
|
asm volatile ("" : : : "memory");
|
|
|
|
#pragma acc loop reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
|
|
for (int i = 100; i > -100; --i)
|
|
{
|
|
gangs_min = gangs_max = acc_gang ();
|
|
workers_min = workers_max = acc_worker ();
|
|
vectors_min = vectors_max = acc_vector ();
|
|
}
|
|
}
|
|
if (gangs_min != 0 || gangs_max != 1 - 1
|
|
|| workers_min != 0 || workers_max != 1 - 1
|
|
|| vectors_min != 0 || vectors_max != 1 - 1)
|
|
__builtin_abort ();
|
|
}
|
|
|
|
|
|
/* Unparallelized OpenACC kernels constructs must get launched as 1 x 1 x 1
|
|
kernels even when there are explicit num_gangs, num_workers, or
|
|
vector_length clauses. */
|
|
{
|
|
int gangs = 5;
|
|
#define WORKERS 5
|
|
#define VECTORS 13
|
|
int gangs_min, gangs_max, workers_min, workers_max, vectors_min, vectors_max;
|
|
gangs_min = workers_min = vectors_min = INT_MAX;
|
|
gangs_max = workers_max = vectors_max = INT_MIN;
|
|
#pragma acc kernels \
|
|
num_gangs (gangs) \
|
|
num_workers (WORKERS) \
|
|
vector_length (VECTORS)
|
|
{
|
|
/* This is to make the OpenACC kernels construct unparallelizable. */
|
|
asm volatile ("" : : : "memory");
|
|
|
|
#pragma acc loop reduction (min: gangs_min, workers_min, vectors_min) reduction (max: gangs_max, workers_max, vectors_max)
|
|
for (int i = 100; i > -100; --i)
|
|
{
|
|
gangs_min = gangs_max = acc_gang ();
|
|
workers_min = workers_max = acc_worker ();
|
|
vectors_min = vectors_max = acc_vector ();
|
|
}
|
|
}
|
|
if (gangs_min != 0 || gangs_max != 1 - 1
|
|
|| workers_min != 0 || workers_max != 1 - 1
|
|
|| vectors_min != 0 || vectors_max != 1 - 1)
|
|
__builtin_abort ();
|
|
#undef VECTORS
|
|
#undef WORKERS
|
|
}
|
|
|
|
|
|
return 0;
|
|
}
|