* 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 "bitwise_or.h"
#include "opdev/aicpu/aicpu_task.h"
#include "opdev/data_type_utils.h"
#include "opdev/format_utils.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"
#include "op_api/aclnn_check.h"
using namespace op;
namespace l0op {
OP_TYPE_REGISTER(BitwiseOr);
static const std::initializer_list<DataType> AICORE_DTYPE_SUPPORT_LIST = {
DataType::DT_INT16, DataType::DT_INT32, DataType::DT_UINT16};
static const std::initializer_list<DataType> ASCEND910B_AICORE_DTYPE_SUPPORT_LIST = {
DataType::DT_INT16, DataType::DT_UINT16, DataType::DT_INT32, DataType::DT_INT64};
static const std::initializer_list<DataType> ASCEND950_AICORE_DTYPE_SUPPORT_LIST = {
DataType::DT_INT8, DataType::DT_INT16, DataType::DT_UINT8, DataType::DT_UINT16,
DataType::DT_INT32, DataType::DT_UINT32, DataType::DT_INT64, DataType::DT_UINT64};
static inline bool IsAiCoreSupport(const aclTensor *self) {
auto curArch = GetCurrentPlatformInfo().GetCurNpuArch();
if (curArch == NpuArch::DAV_2201) {
return CheckType(self->GetDataType(), ASCEND910B_AICORE_DTYPE_SUPPORT_LIST);
}
if (IsRegBase(curArch)) {
return CheckType(self->GetDataType(), ASCEND950_AICORE_DTYPE_SUPPORT_LIST);
}
return CheckType(self->GetDataType(), AICORE_DTYPE_SUPPORT_LIST);
}
static inline const aclTensor *BitwiseOrAiCore(const aclTensor *self, const aclTensor *other, aclTensor *out,
aclOpExecutor *executor) {
L0_DFX(BitwiseOrAiCore, self, other, out);
auto ret = ADD_TO_LAUNCHER_LIST_AICORE(BitwiseOr, OP_INPUT(self, other), OP_OUTPUT(out));
OP_CHECK(ret == ACL_SUCCESS, OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "BitwiseOrAiCore ADD_TO_LAUNCHER_LIST_AICORE failed."), return nullptr);
return out;
}
static inline const aclTensor *BitwiseOrAiCpu(const aclTensor *self, const aclTensor *other, aclTensor *out,
aclOpExecutor *executor) {
L0_DFX(BitwiseOrAiCpu, self, other, out);
static internal::AicpuTaskSpace space("BitwiseOr", ge::DEPEND_IN_SHAPE, true);
auto ret = ADD_TO_LAUNCHER_LIST_AICPU(BitwiseOr, OP_ATTR_NAMES(), OP_INPUT(self, other), OP_OUTPUT(out));
OP_CHECK(ret == ACL_SUCCESS, OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "BitwiseOrAiCpu ADD_TO_LAUNCHER_LIST_AICPU failed."), return nullptr);
return out;
}
const aclTensor *BitwiseOr(const aclTensor *self, const aclTensor *other, aclOpExecutor *executor) {
Shape broadcastShape;
if (!BroadcastInferShape(self->GetViewShape(), other->GetViewShape(), broadcastShape)) {
OP_LOGE(ACLNN_ERR_PARAM_INVALID, "Broadcast %s and %s failed.", ToString(self->GetViewShape()).GetString(),
ToString(other->GetViewShape()).GetString());
return nullptr;
}
auto out = executor->AllocTensor(broadcastShape, self->GetDataType(), Format::FORMAT_ND);
if (out == nullptr) {
OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "alloc out tensor failed.");
return nullptr;
}
if (IsAiCoreSupport(self)) {
return BitwiseOrAiCore(self, other, out, executor);
} else {
return BitwiseOrAiCpu(self, other, out, executor);
}
}
}