/**
* 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.
*/
/* !
* \file logicalands.asc
* \brief
*/
#include "acl/acl.h"
#include "data_utils.h"
#include "kernel_operator.h"
enum ScalarType {
scalarIndex0 = 1,
scalarIndex1,
tensorScalar,
scalarTensor,
};
template <typename T>
class KernelLogicalAnds {
public:
__aicore__ inline KernelLogicalAnds() {}
__aicore__ inline void Init(GM_ADDR src0Gm, GM_ADDR src1Gm, GM_ADDR dstGm, uint32_t countIn, uint32_t dataSizeIn,
uint32_t scalarTypeIn, AscendC::TPipe* pipeIn)
{
pipe = pipeIn;
count = countIn;
dataSize = dataSizeIn;
scalarType = scalarTypeIn;
src0Global.SetGlobalBuffer(reinterpret_cast<__gm__ T*>(src0Gm));
src1Global.SetGlobalBuffer(reinterpret_cast<__gm__ T*>(src1Gm));
dstGlobal.SetGlobalBuffer(reinterpret_cast<__gm__ bool*>(dstGm));
pipe->InitBuffer(inQueueX, 1, dataSize * sizeof(T));
pipe->InitBuffer(inQueueY, 1, dataSize * sizeof(T));
pipe->InitBuffer(outQueue, 1, dataSize * sizeof(bool));
}
__aicore__ inline void Process()
{
AscendC::AscendCUtils::SetOverflow(1);
CopyIn();
Compute();
CopyOut();
AscendC::AscendCUtils::SetOverflow(0);
}
__aicore__ inline void CopyIn()
{
AscendC::LocalTensor<T> src0Local = inQueueX.AllocTensor<T>();
AscendC::LocalTensor<T> src1Local = inQueueY.AllocTensor<T>();
AscendC::DataCopy(src0Local, src0Global, dataSize);
AscendC::DataCopy(src1Local, src1Global, dataSize);
inQueueX.EnQue(src0Local);
inQueueY.EnQue(src1Local);
}
__aicore__ inline void Compute()
{
AscendC::LocalTensor<bool> dstLocal = outQueue.AllocTensor<bool>();
AscendC::LocalTensor<T> src0Local = inQueueX.DeQue<T>();
AscendC::LocalTensor<T> src1Local = inQueueY.DeQue<T>();
AscendC::Duplicate(dstLocal, (bool)0, dataSize);
if (scalarType == ScalarType::scalarIndex0) {
static constexpr AscendC::LogicalAndsConfig config = {false, 0};
AscendC::LogicalAnds<config>(dstLocal, src0Local, src1Local, count);
} else if (scalarType == ScalarType::scalarIndex1) {
static constexpr AscendC::LogicalAndsConfig config = {false, 1};
AscendC::LogicalAnds<config>(dstLocal, src0Local, src1Local, count);
} else if (scalarType == ScalarType::tensorScalar) {
event_t eventIdMte2ToS = static_cast<event_t>(GetTPipePtr()->FetchEventID(AscendC::HardEvent::MTE2_S));
AscendC::SetFlag<AscendC::HardEvent::MTE2_S>(eventIdMte2ToS);
AscendC::WaitFlag<AscendC::HardEvent::MTE2_S>(eventIdMte2ToS);
T scalar = src1Local.GetValue(0);
event_t eventIdSToV = static_cast<event_t>(GetTPipePtr()->FetchEventID(AscendC::HardEvent::S_V));
AscendC::SetFlag<AscendC::HardEvent::S_V>(eventIdSToV);
AscendC::WaitFlag<AscendC::HardEvent::S_V>(eventIdSToV);
AscendC::LogicalAnds(dstLocal, src0Local, scalar, count);
} else if (scalarType == ScalarType::scalarTensor) {
event_t eventIdMte2ToS = static_cast<event_t>(GetTPipePtr()->FetchEventID(AscendC::HardEvent::MTE2_S));
AscendC::SetFlag<AscendC::HardEvent::MTE2_S>(eventIdMte2ToS);
AscendC::WaitFlag<AscendC::HardEvent::MTE2_S>(eventIdMte2ToS);
T scalar = src0Local.GetValue(0);
event_t eventIdSToV = static_cast<event_t>(GetTPipePtr()->FetchEventID(AscendC::HardEvent::S_V));
AscendC::SetFlag<AscendC::HardEvent::S_V>(eventIdSToV);
AscendC::WaitFlag<AscendC::HardEvent::S_V>(eventIdSToV);
AscendC::LogicalAnds(dstLocal, scalar, src1Local, count);
}
outQueue.EnQue(dstLocal);
inQueueX.FreeTensor(src0Local);
inQueueY.FreeTensor(src1Local);
}
__aicore__ inline void CopyOut()
{
AscendC::LocalTensor<bool> dstLocal = outQueue.DeQue<bool>();
AscendC::DataCopy(dstGlobal, dstLocal, dataSize);
outQueue.FreeTensor(dstLocal);
}
private:
AscendC::TPipe* pipe;
AscendC::TQue<AscendC::QuePosition::VECIN, 1> inQueueX;
AscendC::TQue<AscendC::QuePosition::VECIN, 1> inQueueY;
AscendC::TQue<AscendC::QuePosition::VECOUT, 1> outQueue;
AscendC::GlobalTensor<T> src0Global;
AscendC::GlobalTensor<T> src1Global;
AscendC::GlobalTensor<bool> dstGlobal;
uint32_t dataSize;
uint32_t count;
uint32_t scalarType;
};
__global__ __aicore__ void logicalands_custom(GM_ADDR src0Gm, GM_ADDR src1Gm, GM_ADDR dstGm)
{
KERNEL_TASK_TYPE_DEFAULT(KERNEL_TYPE_AIV_ONLY);
AscendC::TPipe pipe;
constexpr uint32_t count = 1024;
constexpr uint32_t dataSize = 1024;
constexpr uint32_t scalarType = 1;
KernelLogicalAnds<bool> op;
op.Init(src0Gm, src1Gm, dstGm, count, dataSize, scalarType, &pipe);
op.Process();
}
static bool CompareResult(const void* outputData, uint32_t outSize)
{
void* goldenData;
aclrtMallocHost((void**)(&goldenData), outSize);
size_t goldenSize = outSize;
bool ret = ReadFile("./output/golden.bin", goldenSize, goldenData, goldenSize);
if (ret) {
printf("ReadFile golden.bin success!\n");
} else {
printf("test failed!\n");
return false;
}
constexpr float EPS = 1e-4;
int64_t wrongNum = 0;
for (size_t i = 0; i < outSize / sizeof(float); i++) {
float a = (reinterpret_cast<const float*>(outputData))[i];
float b = (reinterpret_cast<const float*>(goldenData))[i];
float ae = std::abs(a - b);
float re = ae / std::abs(b);
if (ae > EPS && re > EPS) {
printf("CompareResult golden.bin failed output is %lf, golden is %lf\n", a, b);
wrongNum++;
}
}
aclrtFreeHost(goldenData);
if (wrongNum != 0) {
return false;
} else {
printf("CompareResult golden.bin success!\n");
return true;
}
}
int32_t main(int32_t argc, char* argv[])
{
size_t param1FileSize = 1024 * sizeof(bool);
size_t param2FileSize = 1024 * sizeof(bool);
size_t param3FileSize = 1024 * sizeof(bool);
uint32_t numBlocks = 1;
aclInit(nullptr);
aclrtContext context;
int32_t deviceId = 0;
aclrtSetDevice(deviceId);
aclrtCreateContext(&context, deviceId);
aclrtStream stream = nullptr;
aclrtCreateStream(&stream);
uint8_t* param1Host;
uint8_t* param1Device;
aclrtMallocHost((void**)(¶m1Host), param1FileSize);
aclrtMalloc((void**)¶m1Device, param1FileSize, ACL_MEM_MALLOC_HUGE_FIRST);
ReadFile("./input/input_src0.bin", param1FileSize, param1Host, param1FileSize);
aclrtMemcpy(param1Device, param1FileSize, param1Host, param1FileSize, ACL_MEMCPY_HOST_TO_DEVICE);
uint8_t* param2Host;
uint8_t* param2Device;
aclrtMallocHost((void**)(¶m2Host), param2FileSize);
aclrtMalloc((void**)¶m2Device, param2FileSize, ACL_MEM_MALLOC_HUGE_FIRST);
ReadFile("./input/input_src1.bin", param2FileSize, param2Host, param2FileSize);
aclrtMemcpy(param2Device, param2FileSize, param2Host, param2FileSize, ACL_MEMCPY_HOST_TO_DEVICE);
uint8_t* param3Host;
uint8_t* param3Device;
aclrtMallocHost((void**)(¶m3Host), param3FileSize);
aclrtMalloc((void**)¶m3Device, param3FileSize, ACL_MEM_MALLOC_HUGE_FIRST);
logicalands_custom<<<numBlocks, nullptr, stream>>>(param1Device, param2Device, param3Device);
aclrtSynchronizeStream(stream);
aclrtFree(param1Device);
aclrtFreeHost(param1Host);
aclrtFree(param2Device);
aclrtFreeHost(param2Host);
aclrtMemcpy(param3Host, param3FileSize, param3Device, param3FileSize, ACL_MEMCPY_DEVICE_TO_HOST);
WriteFile("./output/output.bin", param3Host, param3FileSize);
bool goldenResult = true;
goldenResult = CompareResult(param3Host, param3FileSize);
if (goldenResult) {
printf("test pass!\n");
} else {
printf("test failed!\n");
}
aclrtFree(param3Device);
aclrtFreeHost(param3Host);
aclrtDestroyStream(stream);
aclrtDestroyContext(context);
aclrtResetDevice(deviceId);
aclFinalize();
return 0;
}