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// REQUIRES: nvptx-registered-target
// REQUIRES: x86-registered-target
// RUN: %clang_cc1 "-triple" "x86_64-unknown-linux-gnu" "-aux-triple" "nvptx64-nvidia-cuda" \
// RUN: "-target-cpu" "x86-64" -fsyntax-only -verify=scalar -Wno-unused %s
// RUN: %clang_cc1 "-aux-triple" "x86_64-unknown-linux-gnu" "-triple" "nvptx64-nvidia-cuda" \
// RUN: -fcuda-is-device "-aux-target-cpu" "x86-64" -fsyntax-only -verify=scalar -Wno-unused %s
#include "Inputs/cuda.h"
__device__ void test(bool b, __bf16 *out, __bf16 in) {
__bf16 bf16 = in; // No error on using the type itself.
bf16 + bf16;
bf16 - bf16;
bf16 * bf16;
bf16 / bf16;
__fp16 fp16;
bf16 + fp16;
fp16 + bf16;
bf16 - fp16;
fp16 - bf16;
bf16 * fp16;
fp16 * bf16;
bf16 / fp16;
fp16 / bf16;
bf16 = fp16; // scalar-error {{assigning to '__bf16' from incompatible type '__fp16'}}
fp16 = bf16; // scalar-error {{assigning to '__fp16' from incompatible type '__bf16'}}
bf16 + (b ? fp16 : bf16);
*out = bf16;
}
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