更多样例

样例模板

为了方便您快速运行具体指令中的参考样例，本章节提供标量三目指令的样例模板。
您可以将以下样例模板作为代码框架，只需将具体指令中的样例片段拷贝替换下文代码段中的加粗内容即可。
完整样例一、half精度组合
#include "kernel_operator.h"
namespace AscendC {
class KernelAxpy {
public:
    __aicore__ inline KernelAxpy() {}
    __aicore__ inline void Init(__gm__ uint8_t* srcGm, __gm__ uint8_t* dstGm)
    {
        srcGlobal.SetGlobalBuffer((__gm__ half*)srcGm);
        dstGlobal.SetGlobalBuffer((__gm__ half*)dstGm);
        pipe.InitBuffer(inQueueSrc, 1, 512 * sizeof(half));
        pipe.InitBuffer(outQueueDst, 1, 512 * sizeof(half));
    }
    __aicore__ inline void Process()
    {
        CopyIn();
        Compute();
        CopyOut();
    }
private:
    __aicore__ inline void CopyIn()
    {
        LocalTensor<half> srcLocal = inQueueSrc.AllocTensor<half>();
        DataCopy(srcLocal, srcGlobal, 512);
        inQueueSrc.EnQue(srcLocal);
    }
    __aicore__ inline void Compute()
    {
        LocalTensor<half> srcLocal = inQueueSrc.DeQue<half>();
        LocalTensor<half> dstLocal = outQueueDst.AllocTensor<half>();

        Axpy(dstLocal, srcLocal, (half)2.0, 512);

        outQueueDst.EnQue<half>(dstLocal);
        inQueueSrc.FreeTensor(srcLocal);
    }
    __aicore__ inline void CopyOut()
    {
        LocalTensor<half> dstLocal = outQueueDst.DeQue<half>();
        DataCopy(dstGlobal, dstLocal, 512);
        outQueueDst.FreeTensor(dstLocal);
    }
private:
    TPipe pipe;
    TQue<QuePosition::VECIN, 1> inQueueSrc;
    TQue<QuePosition::VECOUT, 1> outQueueDst;
    GlobalTensor<half> srcGlobal, dstGlobal;
};
} // namespace AscendC
extern "C" __global__ __aicore__ void kernel_vec_ternary_scalar_Axpy_half_2_half(__gm__ uint8_t* srcGm, __gm__ uint8_t* dstGm)
{
    AscendC::KernelAxpy op;
    op.Init(srcGm, dstGm);
    op.Process();
}
输入数据(src1Gm):
[1. 1. 1. 1. 1. 1. ... 1.]
输出数据(dstGm):
[2. 2. 2. 2. 2. 2. ... 2.]

完整样例二、mix精度组合
namespace AscendC {
class KernelAxpy {
public:
    __aicore__ inline KernelAxpy() {}
    __aicore__ inline void Init(__gm__ uint8_t* srcGm, __gm__ uint8_t* dstGm)
    {
        srcGlobal.SetGlobalBuffer((__gm__ half*)srcGm);
        dstGlobal.SetGlobalBuffer((__gm__ float*)dstGm);
        pipe.InitBuffer(outQueueDst, 1, 512 * sizeof(float));
        pipe.InitBuffer(inQueueSrc, 1, 512 * sizeof(half));
    }
    __aicore__ inline void Process()
    {
        CopyIn();
        Compute();
        CopyOut();
    }
private:
    __aicore__ inline void CopyIn()
    {
        LocalTensor<half> srcLocal = inQueueSrc.AllocTensor<half>();
        DataCopy(srcLocal, srcGlobal, 512);
        inQueueSrc.EnQue(srcLocal);
    }
    __aicore__ inline void Compute()
    {
        LocalTensor<half> srcLocal = inQueueSrc.DeQue<half>();
        LocalTensor<float> dstLocal = outQueueDst.AllocTensor<float>();

        Axpy(dstLocal, srcLocal, (half)2.0, 64, 8,{ 1, 1, 8, 4 });

        outQueueDst.EnQue<float>(dstLocal);
        inQueueSrc.FreeTensor(srcLocal);
    }
    __aicore__ inline void CopyOut()
    {
        LocalTensor<float> dstLocal = outQueueDst.DeQue<float>();
        DataCopy(dstGlobal, dstLocal, 512);
        outQueueDst.FreeTensor(dstLocal);
    }
private:
    TPipe pipe;
    TQue<QuePosition::VECIN, 1> inQueueSrc;
    TQue<QuePosition::VECOUT, 1> outQueueDst;
    GlobalTensor<half> srcGlobal;
    GlobalTensor<float> dstGlobal;
};
} // namespace AscendC

extern "C" __global__ __aicore__ void kernel_vec_ternary_scalar_Axpy_half_2_float(__gm__ uint8_t* srcGm, __gm__ uint8_t* dstGm)
{
    AscendC::KernelAxpy op;
    op.Init(srcGm, dstGm);
    op.Process();
}
输入数据(src1Gm):
[1. 1. 1. 1. 1. 1. ... 1.]
输出数据(dstGm):
[2. 2. 2. 2. 2. 2. ... 2.]
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