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61 lines
2.2 KiB
C
61 lines
2.2 KiB
C
// XFAIL: amdgcn-amd-amdhsa
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// Use the generic state machine. On some architectures, other threads in the
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// main thread's warp must avoid barrier instructions.
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//
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// REQUIRES: gpu
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// RUN: %libomptarget-compile-run-and-check-generic
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// SPMDize. There is no main thread, so there's no issue.
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//
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// RUN: %libomptarget-compile-generic -O2 -foffload-lto -Rpass=openmp-opt > %t.spmd 2>&1
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// RUN: %fcheck-nvptx64-nvidia-cuda -check-prefix=SPMD -input-file=%t.spmd
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// RUN: %fcheck-amdgcn-amd-amdhsa -check-prefix=SPMD -input-file=%t.spmd
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// RUN: %libomptarget-run-generic 2>&1 | %fcheck-generic
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//
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// SPMD: Transformed generic-mode kernel to SPMD-mode.
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// Use the custom state machine, which must avoid the same barrier problem as
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// the generic state machine.
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//
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// RUN: %libomptarget-compile-generic -O2 -foffload-lto -Rpass=openmp-opt \
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// RUN: -Xoffload-linker -mllvm=-openmp-opt-disable-spmdization \
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// RUN: -mllvm -openmp-opt-disable-spmdization > %t.custom 2>&1
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// RUN: %fcheck-nvptx64-nvidia-cuda -check-prefix=CUSTOM -input-file=%t.custom
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// RUN: %fcheck-amdgcn-amd-amdhsa -check-prefix=CUSTOM -input-file=%t.custom
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// RUN: %libomptarget-run-generic 2>&1 | %fcheck-generic
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//
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// Repeat with reduction clause, which has managed to break the custom state
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// machine in the past.
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//
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// RUN: %libomptarget-compile-generic -O2 -foffload-lto -Rpass=openmp-opt \
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// RUN: -DADD_REDUCTION \
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// RUN: -Xoffload-linker -mllvm=-openmp-opt-disable-spmdization \
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// RUN: -mllvm -openmp-opt-disable-spmdization > %t.custom 2>&1
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// RUN: %fcheck-nvptx64-nvidia-cuda -check-prefix=CUSTOM -input-file=%t.custom
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// RUN: %fcheck-amdgcn-amd-amdhsa -check-prefix=CUSTOM -input-file=%t.custom
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// RUN: %libomptarget-run-generic 2>&1 | %fcheck-generic
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// https://github.com/llvm/llvm-project/issues/182119
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// UNSUPPORTED: intelgpu
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//
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// CUSTOM: Rewriting generic-mode kernel with a customized state machine.
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#if ADD_REDUCTION
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#define REDUCTION(...) reduction(__VA_ARGS__)
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#else
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#define REDUCTION(...)
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#endif
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#include <stdio.h>
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int main() {
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int x = 0, y = 1;
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#pragma omp target teams num_teams(1) map(tofrom : x, y) REDUCTION(+ : x)
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{
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x += 5;
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#pragma omp parallel
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y = 6;
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}
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// CHECK: 5, 6
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printf("%d, %d\n", x, y);
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return 0;
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}
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