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Differential D35176 Diff 106244 test/GPGPU/kernel-params-only-some-arrays.ll

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test/GPGPU/kernel-params-only-some-arrays.ll

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; void kernel_params_only_some_arrays(float A[], float B[]) { ; void kernel_params_only_some_arrays(float A[], float B[]) {
; for (long i = 0; i < 32; i++) ; for (long i = 0; i < 32; i++)
; A[i] += 42; ; A[i] += 42;
; ;
; for (long i = 0; i < 32; i++) ; for (long i = 0; i < 32; i++)
; B[i] += 42; ; B[i] += 42;
; } ; }
; KERNEL: ; ModuleID = 'FUNC_kernel_params_only_some_arrays_KERNEL_0' ; KERNEL: ; ModuleID = 'FUNC_kernel_params_only_some_arrays_SCOP_0_KERNEL_0'
; KERNEL-NEXT: source_filename = "FUNC_kernel_params_only_some_arrays_KERNEL_0" ; KERNEL-NEXT: source_filename = "FUNC_kernel_params_only_some_arrays_SCOP_0_KERNEL_0"
; KERNEL-NEXT: target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v16:16:16-v32:32:32-v64:64:64-v128:128:128-n16:32:64" ; KERNEL-NEXT: target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v16:16:16-v32:32:32-v64:64:64-v128:128:128-n16:32:64"
; KERNEL-NEXT: target triple = "nvptx64-nvidia-cuda" ; KERNEL-NEXT: target triple = "nvptx64-nvidia-cuda"
; KERNEL: define ptx_kernel void @FUNC_kernel_params_only_some_arrays_KERNEL_0(i8 addrspace(1)* %MemRef_A) ; KERNEL: define ptx_kernel void @FUNC_kernel_params_only_some_arrays_SCOP_0_KERNEL_0(i8 addrspace(1)* %MemRef_A)
; KERNEL-NEXT: entry: ; KERNEL-NEXT: entry:
; KERNEL-NEXT: %0 = call i32 @llvm.nvvm.read.ptx.sreg.ctaid.x() ; KERNEL-NEXT: %0 = call i32 @llvm.nvvm.read.ptx.sreg.ctaid.x()
; KERNEL-NEXT: %b0 = zext i32 %0 to i64 ; KERNEL-NEXT: %b0 = zext i32 %0 to i64
; KERNEL-NEXT: %1 = call i32 @llvm.nvvm.read.ptx.sreg.tid.x() ; KERNEL-NEXT: %1 = call i32 @llvm.nvvm.read.ptx.sreg.tid.x()
; KERNEL-NEXT: %t0 = zext i32 %1 to i64 ; KERNEL-NEXT: %t0 = zext i32 %1 to i64
; KERNEL: ret void ; KERNEL: ret void
; KERNEL-NEXT: } ; KERNEL-NEXT: }
; KERNEL: ; ModuleID = 'FUNC_kernel_params_only_some_arrays_KERNEL_1' ; KERNEL: ; ModuleID = 'FUNC_kernel_params_only_some_arrays_SCOP_0_KERNEL_1'
; KERNEL-NEXT: source_filename = "FUNC_kernel_params_only_some_arrays_KERNEL_1" ; KERNEL-NEXT: source_filename = "FUNC_kernel_params_only_some_arrays_SCOP_0_KERNEL_1"
; KERNEL-NEXT: target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v16:16:16-v32:32:32-v64:64:64-v128:128:128-n16:32:64" ; KERNEL-NEXT: target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v16:16:16-v32:32:32-v64:64:64-v128:128:128-n16:32:64"
; KERNEL-NEXT: target triple = "nvptx64-nvidia-cuda" ; KERNEL-NEXT: target triple = "nvptx64-nvidia-cuda"
; KERNEL: define ptx_kernel void @FUNC_kernel_params_only_some_arrays_KERNEL_1(i8 addrspace(1)* %MemRef_B) ; KERNEL: define ptx_kernel void @FUNC_kernel_params_only_some_arrays_SCOP_0_KERNEL_1(i8 addrspace(1)* %MemRef_B)
; KERNEL-NEXT: entry: ; KERNEL-NEXT: entry:
; KERNEL-NEXT: %0 = call i32 @llvm.nvvm.read.ptx.sreg.ctaid.x() ; KERNEL-NEXT: %0 = call i32 @llvm.nvvm.read.ptx.sreg.ctaid.x()
; KERNEL-NEXT: %b0 = zext i32 %0 to i64 ; KERNEL-NEXT: %b0 = zext i32 %0 to i64
; KERNEL-NEXT: %1 = call i32 @llvm.nvvm.read.ptx.sreg.tid.x() ; KERNEL-NEXT: %1 = call i32 @llvm.nvvm.read.ptx.sreg.tid.x()
; KERNEL-NEXT: %t0 = zext i32 %1 to i64 ; KERNEL-NEXT: %t0 = zext i32 %1 to i64
; KERNEL: ret void ; KERNEL: ret void
; KERNEL-NEXT: } ; KERNEL-NEXT: }
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