When compiling HIP source for AMDGCN flavoured SPIR-V that is expected
to be consumed by the ROCm HIP RT, it's not desirable to set the OpenCL
Kernel CC on `__global__` functions. On one hand, this is not an OpenCL
RT, so it doesn't compose with e.g. OCL specific attributes. On the
other it is a "noisy" CC that carries semantics, and breaks overload
resolution when using [generic dispatchers such as those used by
RAJA](186d4194a5/src/common/HipDataUtils.hpp (L39)).
49 lines
1.6 KiB
Plaintext
49 lines
1.6 KiB
Plaintext
// RUN: %clang_cc1 -triple amdgcn -fcuda-is-device -emit-llvm -x hip %s -o - | FileCheck %s
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// RUN: %clang_cc1 -triple spirv64-amd-amdhsa -fcuda-is-device -emit-llvm -x hip %s -o - | FileCheck %s --check-prefix=CHECK-SPIRV
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#include "Inputs/cuda.h"
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// CHECK: define{{.*}} amdgpu_kernel void @_ZN1A6kernelEv
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// CHECK-SPIRV: define{{.*}} spir_kernel void @_ZN1A6kernelEv
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class A {
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public:
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static __global__ void kernel(){}
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};
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// CHECK: define{{.*}} void @_Z10non_kernelv
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// CHECK-SPIRV: define{{.*}} void @_Z10non_kernelv
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__device__ void non_kernel(){}
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// CHECK: define{{.*}} amdgpu_kernel void @_Z6kerneli
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// CHECK-SPIRV: define{{.*}} spir_kernel void @_Z6kerneli
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__global__ void kernel(int x) {
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non_kernel();
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}
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// CHECK: define{{.*}} amdgpu_kernel void @_Z11EmptyKernelIvEvv
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// CHECK-SPIRV: define{{.*}} spir_kernel void @_Z11EmptyKernelIvEvv
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template <typename T>
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__global__ void EmptyKernel(void) {}
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struct Dummy {
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/// Type definition of the EmptyKernel kernel entry point
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typedef void (*EmptyKernelPtr)();
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EmptyKernelPtr Empty() { return EmptyKernel<void>; }
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};
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// CHECK: define{{.*}} amdgpu_kernel void @_Z15template_kernelI1AEvT_{{.*}} #[[ATTR:[0-9][0-9]*]]
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// CHECK-SPIRV: define{{.*}} spir_kernel void @_Z15template_kernelI1AEvT_{{.*}} #[[ATTR:[0-9][0-9]*]]
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template<class T>
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__global__ void template_kernel(T x) {}
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void launch(void *f);
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int main() {
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Dummy D;
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launch((void*)A::kernel);
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launch((void*)kernel);
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launch((void*)template_kernel<A>);
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launch((void*)D.Empty());
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return 0;
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}
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// CHECK: attributes #[[ATTR]] = {{.*}}"amdgpu-flat-work-group-size"="1,1024"
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