blob: ea15a7c86f48d58fa7ee43c7c027255805be8d35 [file] [log] [blame]
; RUN: opt %s -enable-new-pm=0 -analyze -divergence -use-gpu-divergence-analysis | FileCheck %s
; RUN: opt %s -passes='print<divergence>' -disable-output 2>&1 | FileCheck %s
target datalayout = "e-i64:64-v16:16-v32:32-n16:32:64"
target triple = "nvptx64-nvidia-cuda"
define i32 @hidden_diverge(i32 %n, i32 %a, i32 %b) {
; CHECK-LABEL: Divergence Analysis' for function 'hidden_diverge'
entry:
%tid = call i32 @llvm.nvvm.read.ptx.sreg.tid.x()
%cond.var = icmp slt i32 %tid, 0
br i1 %cond.var, label %B, label %C ; divergent
; CHECK: DIVERGENT: br i1 %cond.var,
B:
%cond.uni = icmp slt i32 %n, 0
br i1 %cond.uni, label %C, label %merge ; uniform
; CHECK-NOT: DIVERGENT: br i1 %cond.uni,
C:
%phi.var.hidden = phi i32 [ 1, %entry ], [ 2, %B ]
; CHECK: DIVERGENT: %phi.var.hidden = phi i32
br label %merge
merge:
%phi.ipd = phi i32 [ %a, %B ], [ %b, %C ]
; CHECK: DIVERGENT: %phi.ipd = phi i32
ret i32 %phi.ipd
}
declare i32 @llvm.nvvm.read.ptx.sreg.tid.x()
!nvvm.annotations = !{!0}
!0 = !{i32 (i32, i32, i32)* @hidden_diverge, !"kernel", i32 1}