* 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.
*/
#ifndef GE_SINGLE_OP_SINGLE_OP_H_
#define GE_SINGLE_OP_SINGLE_OP_H_
#include <cstdint>
#include <memory>
#include <queue>
#include <mutex>
#include "framework/common/ge_types.h"
#include "graph/utils/object_pool.h"
#include "graph/ge_tensor.h"
#include "acl/acl_rt.h"
namespace ge {
constexpr uint64_t kFuzzDeviceBufferSize = 1U * 1024U * 1024U;
class SingleOpImpl;
class DynamicSingleOpImpl;
class StreamResource;
class SingleOp {
public:
SingleOp(StreamResource *const stream_resource, std::mutex *const stream_mutex, aclrtStream const stream);
~SingleOp();
Status ExecuteAsync(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs);
int64_t GetProfilingNodeIndex() const noexcept;
private:
friend class StreamResource;
SingleOpImpl *impl_ = nullptr;
};
class DynamicSingleOp {
public:
DynamicSingleOp(ObjectPool<GeTensor> *const tensor_pool, const uintptr_t resource_id,
std::mutex *const stream_mutex, aclrtStream const stream);
~DynamicSingleOp();
Status ExecuteAsync(const std::vector<GeTensorDesc> &input_desc,
const std::vector<DataBuffer> &input_buffers,
std::vector<GeTensorDesc> &output_desc,
std::vector<DataBuffer> &output_buffers);
int64_t GetProfilingNodeIndex() const noexcept;
private:
friend class StreamResource;
DynamicSingleOpImpl *impl_ = nullptr;
};
}
#endif