* 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 <iostream>
#include <vector>
#include "acl/acl.h"
#include "aclnnop/aclnn_iou.h"
#define CHECK_RET(cond, return_expr) \
do { \
if (!(cond)) { \
return_expr; \
} \
} while (0)
#define LOG_PRINT(message, ...) \
do { \
printf(message, ##__VA_ARGS__); \
} while (0)
int64_t GetShapeSize(const std::vector<int64_t>& shape) {
int64_t shape_size = 1;
for (auto i : shape) {
shape_size *= i;
}
return shape_size;
}
int Init(int32_t deviceId, aclrtStream* stream) {
auto ret = aclInit(nullptr);
CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclInit failed. ERROR: %d\n", ret); return ret);
ret = aclrtSetDevice(deviceId);
CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtSetDevice failed. ERROR: %d\n", ret); return ret);
ret = aclrtCreateStream(stream);
CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtCreateStream failed. ERROR: %d\n", ret); return ret);
return 0;
}
template <typename T>
int CreateAclTensor(const std::vector<T>& hostData, const std::vector<int64_t>& shape, void** deviceAddr,
aclDataType dataType, aclTensor** tensor) {
auto size = GetShapeSize(shape) * sizeof(T);
auto ret = aclrtMalloc(deviceAddr, size, ACL_MEM_MALLOC_HUGE_FIRST);
CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtMalloc failed. ERROR: %d\n", ret); return ret);
ret = aclrtMemcpy(*deviceAddr, size, hostData.data(), size, ACL_MEMCPY_HOST_TO_DEVICE);
CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtMemcpy failed. ERROR: %d\n", ret); return ret);
std::vector<int64_t> strides(shape.size(), 1);
for (int64_t i = shape.size() - 2; i >= 0; i--) {
strides[i] = shape[i + 1] * strides[i + 1];
}
*tensor = aclCreateTensor(shape.data(), shape.size(), dataType, strides.data(), 0, aclFormat::ACL_FORMAT_ND,
shape.data(), shape.size(), *deviceAddr);
return 0;
}
int main() {
int32_t deviceId = 0;
aclrtStream stream;
auto ret = Init(deviceId, &stream);
CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("Init acl failed. ERROR: %d\n", ret);
return ret);
std::vector<float> bBoxesHostData = {1.0, 1.0, 5.0, 3.0, 1.0, 1.0, 5.0, 3.0};
std::vector<float> gtBoxesHostData = {4.0, 2.0, 9.0, 5.0, 4.0, 2.0, 9.0, 5.0};
std::vector<float> overlapHostData = {0.045455, 0.045455};
std::vector<int64_t> bBoxesShape = {2, 4};
std::vector<int64_t> gtBoxesShape = {2, 4};
std::vector<int64_t> overlapShape = {2, 1};
void* bBoxesDeviceAddr = nullptr;
void* gtBoxesDeviceAddr = nullptr;
void* overlapDeviceAddr = nullptr;
aclTensor* bBoxes = nullptr;
aclTensor* gtBoxes = nullptr;
aclTensor* overlap = nullptr;
ret = CreateAclTensor(bBoxesHostData, bBoxesShape, &bBoxesDeviceAddr, aclDataType::ACL_FLOAT, &bBoxes);
CHECK_RET(ret == ACL_SUCCESS, return ret);
ret = CreateAclTensor(gtBoxesHostData, gtBoxesShape, >BoxesDeviceAddr, aclDataType::ACL_FLOAT, >Boxes);
CHECK_RET(ret == ACL_SUCCESS, return ret);
ret = CreateAclTensor(overlapHostData, overlapShape, &overlapDeviceAddr, aclDataType::ACL_FLOAT, &overlap);
CHECK_RET(ret == ACL_SUCCESS, return ret);
const char* mode = "iou";
float eps = 0.0f;
bool aligned = true;
uint64_t workspaceSize = 0;
aclOpExecutor* executor;
aclDestroyTensor(bBoxes);
aclDestroyTensor(gtBoxes);
aclDestroyTensor(overlap);
aclrtFree(bBoxesDeviceAddr);
aclrtFree(gtBoxesDeviceAddr);
aclrtFree(overlapDeviceAddr);
aclrtDestroyStream(stream);
aclrtResetDevice(deviceId);
aclFinalize();
return 0;
}