* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
#include <gtest/gtest.h>
#include "kernel_operator.h"
#include "kernel_utils.h"
using namespace AscendC;
template <typename srcType, uint32_t calCount, uint32_t dataSize, uint32_t apiMode>
class KernelSinCos {
public:
__aicore__ inline KernelSinCos()
{}
__aicore__ inline void Init(GM_ADDR src_gm, GM_ADDR dst0_gm, GM_ADDR dst1_gm)
{
src_global.SetGlobalBuffer(reinterpret_cast<__gm__ srcType *>(src_gm), dataSize);
dst0_global.SetGlobalBuffer(reinterpret_cast<__gm__ srcType *>(dst0_gm), dataSize);
dst1_global.SetGlobalBuffer(reinterpret_cast<__gm__ srcType *>(dst1_gm), dataSize);
pipe.InitBuffer(inQueueX, 1, dataSize * sizeof(srcType));
pipe.InitBuffer(tmpQueue, 1, dataSize * sizeof(uint8_t));
pipe.InitBuffer(outQueueX, 1, dataSize * sizeof(srcType));
pipe.InitBuffer(outQueueY, 1, dataSize * sizeof(srcType));
}
__aicore__ inline void Process()
{
AscendCUtils::SetOverflow(1);
CopyIn();
Compute();
CopyOut();
AscendCUtils::SetOverflow(0);
}
private:
__aicore__ inline void CopyIn()
{
LocalTensor<srcType> srcLocal = inQueueX.AllocTensor<srcType>();
LocalTensor<uint8_t> tmpBufLocal = tmpQueue.AllocTensor<uint8_t>();
DataCopy(srcLocal, src_global, dataSize);
inQueueX.EnQue(srcLocal);
tmpQueue.EnQue(tmpBufLocal);
}
__aicore__ inline void Compute()
{
LocalTensor<srcType> dstLocalX = outQueueX.AllocTensor<srcType>();
LocalTensor<srcType> dstLocalY = outQueueY.AllocTensor<srcType>();
LocalTensor<srcType> srcLocal = inQueueX.DeQue<srcType>();
LocalTensor<uint8_t> tmpBuf = tmpQueue.DeQue<uint8_t>();
srcType zero = 0;
Duplicate(dstLocalX, zero, dataSize);
Duplicate(dstLocalY, zero, dataSize);
uint32_t count = (uint32_t)calCount;
if constexpr (apiMode == 1) {
SinCos(dstLocalX, dstLocalY, srcLocal, count);
} else if constexpr (apiMode == 0) {
SinCos(dstLocalX, dstLocalY, srcLocal, tmpBuf, count);
}
outQueueX.EnQue<srcType>(dstLocalX);
outQueueY.EnQue<srcType>(dstLocalY);
inQueueX.FreeTensor(srcLocal);
tmpQueue.FreeTensor(tmpBuf);
}
__aicore__ inline void CopyOut()
{
LocalTensor<srcType> dstLocalX = outQueueX.DeQue<srcType>();
DataCopy(dst0_global, dstLocalX, dataSize);
outQueueX.FreeTensor(dstLocalX);
LocalTensor<srcType> dstLocalY = outQueueY.DeQue<srcType>();
DataCopy(dst1_global, dstLocalY, dataSize);
outQueueY.FreeTensor(dstLocalY);
}
private:
GlobalTensor<srcType> src_global;
GlobalTensor<srcType> dst0_global;
GlobalTensor<srcType> dst1_global;
TPipe pipe;
TQue<QuePosition::VECIN, 1> inQueueX;
TQue<QuePosition::VECIN, 1> tmpQueue;
TQue<QuePosition::VECOUT, 1> outQueueX;
TQue<QuePosition::VECOUT, 1> outQueueY;
};
template <typename srcType, uint32_t calCount, uint32_t dataSize, uint32_t apiMode>
__aicore__ void kernel_sincos_operator(GM_ADDR src_gm, GM_ADDR dst0_gm, GM_ADDR dst1_gm)
{
KernelSinCos<srcType, calCount, dataSize, apiMode> op;
op.Init(src_gm, dst0_gm, dst1_gm);
op.Process();
}
struct SinCosTestParams {
uint32_t dataTypeSize;
uint32_t inDataSize;
void (*calFunc)(GM_ADDR, GM_ADDR, GM_ADDR);
};
class AdvanceSinCosTestSuite : public testing::TestWithParam<SinCosTestParams> {
protected:
void SetUp()
{
AscendC::SetGCoreType(2);
}
void TearDown()
{
AscendC::SetGCoreType(0);
}
};
INSTANTIATE_TEST_CASE_P(TEST_OPEARATION_ADVANCE_API_SINCOS, AdvanceSinCosTestSuite,
::testing::Values(
SinCosTestParams {4, 32, kernel_sincos_operator<float, 32, 32, 0>},
SinCosTestParams {4, 4096, kernel_sincos_operator<float, 32, 4096, 1>},
SinCosTestParams {4, 32, kernel_sincos_operator<float, 32, 32, 0>},
SinCosTestParams {4, 4096, kernel_sincos_operator<float, 32, 4096, 1>},
SinCosTestParams {2, 32, kernel_sincos_operator<half, 32, 32, 0>},
SinCosTestParams {2, 4096, kernel_sincos_operator<half, 32, 4096, 1>},
SinCosTestParams {2, 32, kernel_sincos_operator<half, 32, 32, 0>},
SinCosTestParams {2, 4096, kernel_sincos_operator<half, 32, 4096, 1>}
)
);
TEST_P(AdvanceSinCosTestSuite, kernel_sincos_operator)
{
auto param = GetParam();
uint32_t dataTypeSize = param.dataTypeSize;
uint32_t inDataSize = param.inDataSize;
uint8_t inputGm[inDataSize * dataTypeSize] = {1};
uint8_t outputGm0[inDataSize * dataTypeSize] = {0};
uint8_t outputGm1[inDataSize * dataTypeSize] = {0};
param.calFunc(inputGm, outputGm0, outputGm1);
for (int32_t i = 0; i < inDataSize; i++) {
EXPECT_EQ(outputGm0[i], 0x00);
EXPECT_EQ(outputGm1[i], 0x00);
}
}