* Copyright (c) 2026 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 "atan2.h"
#include "opdev/aicpu/aicpu_task.h"
#include "opdev/make_op_executor.h"
#include "opdev/op_def.h"
#include "opdev/op_dfx.h"
#include "opdev/op_executor.h"
#include "opdev/op_log.h"
#include "opdev/shape_utils.h"
using namespace op;
namespace l0op {
OP_TYPE_REGISTER(Atan2);
static const std::initializer_list<DataType> AICORE_DTYPE_SUPPORT_LIST = {
DataType::DT_FLOAT, DataType::DT_FLOAT16, DataType::DT_BF16};
static inline bool IsAiCoreSupport(DataType selfDtype) {
return CheckType(selfDtype, AICORE_DTYPE_SUPPORT_LIST);
}
static inline const aclTensor* Atan2AiCore(const aclTensor* self, const aclTensor* other, aclTensor* out,
aclOpExecutor* executor) {
L0_DFX(Atan2AiCore, self, other, out);
auto ret = ADD_TO_LAUNCHER_LIST_AICORE(Atan2, OP_INPUT(self, other), OP_OUTPUT(out));
OP_CHECK(ret == ACLNN_SUCCESS, OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "Atan2 ADD_TO_LAUNCHER_LIST_AICORE failed."), return nullptr);
return out;
}
static inline const aclTensor* Atan2AiCpu(const aclTensor* self, const aclTensor* other, aclTensor* out,
aclOpExecutor* executor) {
L0_DFX(Atan2AiCpu, self, other, out);
static internal::AicpuTaskSpace space("Atan2", ge::DEPEND_IN_SHAPE, true);
auto ret = ADD_TO_LAUNCHER_LIST_AICPU(Atan2, OP_ATTR_NAMES(), OP_INPUT(self, other), OP_OUTPUT(out));
OP_CHECK(ret == ACL_SUCCESS, OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "Atan2AiCpu ADD_TO_LAUNCHER_LIST_AICPU failed."), return nullptr);
return out;
}
const aclTensor* Atan2(const aclTensor* self, const aclTensor* other, aclOpExecutor* executor) {
Shape broadcastShape;
BroadcastInferShape(self->GetViewShape(), other->GetViewShape(), broadcastShape);
auto out = executor->AllocTensor(broadcastShape, self->GetDataType());
if (IsAiCoreSupport(self->GetDataType())) {
return Atan2AiCore(self, other, out, executor);
}
return Atan2AiCpu(self, other, out, executor);
}
}