华为Ascend C算子开发（中级）考试

华为Ascend C算子开发（中级）考试题

提示：这个是河北廊坊Ascend C算子开发考试题和答案，仅供参考，因为不确定其他城市的考试题是否也是一样

一、op_host文件夹下的sinh_custom_tiling.h文件

#include "register/tilingdata_base.h"
namespace optiling {
BEGIN_TILING_DATA_DEF(SinhCustomTilingData)//考生自行定义 tiling 结构体成员变量
TILING_DATA_FIELD_DEF(uint32_t, totalLength);
TILING_DATA_FIELD_DEF(uint32_t, tileNum);
END_TILING_DATA_DEF;
REGISTER_TILING_DATA_CLASS(SinhCustom, SinhCustomTilingData)
}

二、op_host文件夹下的sinh_custom.cpp文件

#include "sinh_custom_tiling.h"
#include "register/op_def_registry.h"
namespace optiling {
static ge::graphStatus TilingFunc(gert::TilingContext* context)
{SinhCustomTilingData tiling;//考生自行填充const uint32_t BLOCK_DIM = 8;const uint32_t TILE_NUM = 8;uint32_t totalLength = context->GetInputShape(0)->GetOriginShape().GetShapeSize();context->SetBlockDim(BLOCK_DIM);tiling.set_totalLength(totalLength);tiling.set_tileNum(TILE_NUM);tiling.SaveToBuffer(context->GetRawTilingData()->GetData(), 
context->GetRawTilingData()->GetCapacity());context->GetRawTilingData()->SetDataSize(tiling.GetDataSize());size_t *currentWorkspace = context->GetWorkspaceSizes(1);currentWorkspace[0] = 0;return ge::GRAPH_SUCCESS;
}
}
namespace ge {
static ge::graphStatus InferShape(gert::InferShapeContext* context)
{const gert::Shape* x1_shape = context->GetInputShape(0);gert::Shape* y_shape = context->GetOutputShape(0);*y_shape = *x1_shape;return GRAPH_SUCCESS;
}
}
namespace ops {
class SinhCustom : public OpDef {
public:explicit SinhCustom(const char* name) : OpDef(name){this->Input("x").ParamType(REQUIRED).DataType({ge::DT_FLOAT16}).Format({ge::FORMAT_ND}).UnknownShapeFormat({ge::FORMAT_ND});this->Output("y").ParamType(REQUIRED).DataType({ge::DT_FLOAT16}).Format({ge::FORMAT_ND}).UnknownShapeFormat({ge::FORMAT_ND});this->SetInferShape(ge::InferShape);this->AICore().SetTiling(optiling::TilingFunc);this->AICore().AddConfig("ascend310b");}
};
OP_ADD(SinhCustom);
}

三、op_kernel文件夹下的sinh_custom.cpp文件

#include "kernel_operator.h"
using namespace AscendC;
constexpr int32_t BUFFER_NUM = 2;
class KernelSinh {
public:__aicore__ inline KernelSinh() {}__aicore__ inline void Init(GM_ADDR x, GM_ADDR y, uint32_t totalLength, uint32_t 
tileNum){//考生补充初始化代码ASSERT(GetBlockNum() != 0 && "block dim can not be zero!");this->blockLength = totalLength / GetBlockNum();this->tileNum = tileNum;ASSERT(tileNum != 0 && "tile num can not be zero!");this->tileLength = this->blockLength / tileNum / BUFFER_NUM;xGm.SetGlobalBuffer((__gm__ DTYPE_X *)x + this->blockLength * GetBlockIdx(), 
this->blockLength);yGm.SetGlobalBuffer((__gm__ DTYPE_Y *)y + this->blockLength * GetBlockIdx(), 
this->blockLength);pipe.InitBuffer(inQueueX, BUFFER_NUM, this->tileLength * sizeof(DTYPE_X));pipe.InitBuffer(outQueueY, BUFFER_NUM, this->tileLength * sizeof(DTYPE_Y));pipe.InitBuffer(tmpBuffer1, this->tileLength * sizeof(DTYPE_X));pipe.InitBuffer(tmpBuffer2, this->tileLength * sizeof(DTYPE_X));pipe.InitBuffer(tmpBuffer3, this->tileLength * sizeof(DTYPE_X));pipe.InitBuffer(tmpBuffer4, this->tileLength * sizeof(DTYPE_X));}__aicore__ inline void Process(){//考生补充对“loopCount”的定义，注意对 Tiling 的处理int32_t loopCount = this->tileNum * BUFFER_NUM;for (int32_t i = 0; i < loopCount; i++) {CopyIn(i);Compute(i);CopyOut(i);}}
private:__aicore__ inline void CopyIn(int32_t progress){//考生补充算子代码LocalTensor<DTYPE_X> xLocal = inQueueX.AllocTensor<DTYPE_X>();DataCopy(xLocal, xGm[progress * this->tileLength], this->tileLength);inQueueX.EnQue(xLocal);}__aicore__ inline void Compute(int32_t progress){//考生补充算子计算代码LocalTensor<DTYPE_X> xLocal = inQueueX.DeQue<DTYPE_X>();LocalTensor<DTYPE_Y> yLocal = outQueueY.AllocTensor<DTYPE_Y>();LocalTensor<DTYPE_X> tmpTensor1 = tmpBuffer1.Get<DTYPE_X>();LocalTensor<DTYPE_X> tmpTensor2 = tmpBuffer2.Get<DTYPE_X>();LocalTensor<DTYPE_X> tmpTensor3 = tmpBuffer3.Get<DTYPE_X>();LocalTensor<DTYPE_X> tmpTensor4 = tmpBuffer4.Get<DTYPE_X>();DTYPE_X inputVal1 = -1;DTYPE_X inputVal2 = 0.5;//sinh(x) = (exp(x) - exp(-x)) / 2.0Muls(tmpTensor1, xLocal, inputVal1, this->tileLength);Exp(tmpTensor2, tmpTensor1, this->tileLength);Exp(tmpTensor3, xLocal, this->tileLength);Sub(tmpTensor4, tmpTensor3, tmpTensor2, this->tileLength);Muls(yLocal, tmpTensor4, inputVal2, this->tileLength);outQueueY.EnQue<DTYPE_Y>(yLocal);inQueueX.FreeTensor(xLocal);}__aicore__ inline void CopyOut(int32_t progress){//考生补充算子代码LocalTensor<DTYPE_Y> yLocal = outQueueY.DeQue<DTYPE_Y>();DataCopy(yGm[progress * this->tileLength], yLocal, this->tileLength);outQueueY.FreeTensor(yLocal);}
private:TPipe pipe;//create queue for input, in this case depth is equal to buffer numTQue<QuePosition::VECIN, BUFFER_NUM> inQueueX;//create queue for output, in this case depth is equal to buffer numTQue<QuePosition::VECOUT, BUFFER_NUM> outQueueY;GlobalTensor<half> xGm;GlobalTensor<half> yGm;//考生补充自定义成员变量TBuf<QuePosition::VECCALC> tmpBuffer1, tmpBuffer2, tmpBuffer3, tmpBuffer4;uint32_t blockLength;uint32_t tileNum;uint32_t tileLength;
};
extern "C" __global__ __aicore__ void sinh_custom(GM_ADDR x, GM_ADDR y, GM_ADDR 
workspace, GM_ADDR tiling) {GET_TILING_DATA(tiling_data, tiling);KernelSinh op;//补充 init 和 process 函数调用内容op.Init(x, y, tiling_data.totalLength, tiling_data.tileNum);op.Process();
}