
CUDA support can be enabled in clang-repl with --cuda flag. Device code linking is not yet supported. inline must be used with all __device__ functions. Differential Revision: https://reviews.llvm.org/D146389
28 lines
774 B
Plaintext
28 lines
774 B
Plaintext
// Checks that a function is available in both __host__ and __device__
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// RUN: cat %s | clang-repl --cuda | FileCheck %s
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extern "C" int printf(const char*, ...);
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__host__ __device__ inline int sum(int a, int b){ return a + b; }
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__global__ void kernel(int * output){ *output = sum(40,2); }
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printf("Host sum: %d\n", sum(41,1));
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// CHECK: Host sum: 42
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int var = 0;
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int * deviceVar;
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printf("cudaMalloc: %d\n", cudaMalloc((void **) &deviceVar, sizeof(int)));
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// CHECK-NEXT: cudaMalloc: 0
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kernel<<<1,1>>>(deviceVar);
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printf("CUDA Error: %d\n", cudaGetLastError());
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// CHECK-NEXT: CUDA Error: 0
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printf("cudaMemcpy: %d\n", cudaMemcpy(&var, deviceVar, sizeof(int), cudaMemcpyDeviceToHost));
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// CHECK-NEXT: cudaMemcpy: 0
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printf("var: %d\n", var);
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// CHECK-NEXT: var: 42
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%quit
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