* 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 AIR_RUNTIME_DEPLOY_EXECUTOR_NPU_SCHED_MODEL_LOADER_H
#define AIR_RUNTIME_DEPLOY_EXECUTOR_NPU_SCHED_MODEL_LOADER_H
#include <mutex>
#include "ge/ge_api_types.h"
#include "common/plugin/ge_make_unique_util.h"
#include "executor/sched_task_info.h"
#include "acl/acl.h"
namespace ge {
using SchedTaskInfoPtr = std::shared_ptr<SchedTaskInfo>;
class NpuSchedModelLoader {
public:
NpuSchedModelLoader() = default;
virtual ~NpuSchedModelLoader() noexcept = default;
GE_DELETE_ASSIGN_AND_COPY(NpuSchedModelLoader);
Status LoadModel(const ModelQueueParam &model_queue_param, uint32_t &runtime_model_id);
Status UnloadModel();
void SetModelId(const uint32_t model_id);
void SetDeviceId(int32_t device_id);
void SetAlignAttributes(const uint32_t align_interval, const std::vector<uint32_t> &align_offsets);
void SetOutputTensorSizes(const std::vector<int64_t> &output_tensor_sizes);
void SetOutputDynamicFlags(const std::vector<uint32_t> &output_dynamic_flags);
void SetOutputQueueIds(const std::vector<uint32_t> &output_queue_ids);
void SetInputDynamicFlags(const std::vector<bool> &input_dynamic_flags);
void SetOutputStaticTensorDescs(const std::vector<RuntimeTensorDesc> &output_static_tensor_descs);
void SetGlobalStep(const uint64_t global_step);
void SetInputAlignAttrs(const InputAlignAttrs &input_align_attrs) { input_align_attrs_ = input_align_attrs; }
void SetEnablePostProcessV2Flag(const bool enable);
void SetSkipMarkStep(bool skip_mark_step);
uint32_t GetReqMsgQueueId() const;
uint32_t GetRespMsgQueueId() const;
private:
Status SetModelConfig() const;
Status CreateSchedTasks();
Status DistributeTasks() const;
Status DistributeEndGraph();
Status BindInputQueue(const aclrtStream stream);
Status CreateModelBatchDequeueTask(const aclrtStream stream, const std::vector<uint32_t> &queue_ids,
const uint32_t align_interval, const std::vector<uint32_t> &align_offsets,
std::vector<uint64_t> &mbuf_addrs);
Status CreateModelGatherDequeueTask(const aclrtStream stream, const std::vector<QueueAttrs> &queues,
std::vector<uint64_t> &mbuf_addrs);
Status UpdateFusionInputsMbufAddr(const std::vector<uint64_t> &unique_input_mbuf_addrs);
Status CreatePrepareDynamicInputOutputTask(const aclrtStream stream);
Status CreateEnqueueTask(const aclrtStream stream, const uint32_t queue_id, const uint64_t mbuf_addr);
uint32_t GenerateNotifyId() const;
Status CreateNotifyRecordTask(const aclrtStream stream, const uint32_t notify_id);
Status CreateNotifyWaitTask(const aclrtStream stream, const uint32_t notify_id);
Status CreateStreamRepeatTask(const aclrtStream stream);
Status CreateZeroCopyTask(const aclrtStream stream, const std::vector<uint64_t> &src_addrs,
std::vector<uint64_t> &dst_addrs);
Status CreatePostprocessDynamicOutputTask(const aclrtStream stream);
Status CreateDequeueTask(const aclrtStream stream, const uint32_t queue_id, uint64_t &mbuf_addr);
Status BindOutputQueue(const aclrtStream stream);
Status CreateModelBatchEnqueueTask(const aclrtStream stream, const std::vector<uint32_t> &queue_ids,
const std::vector<uint64_t> &mbuf_addrs);
Status CreateMarkStepTask(const aclrtStream stream);
Status UnbindStreams();
Status ReleaseTasks();
Status CreateMsgQueues();
Status CreateQueue(const int32_t device_id, const std::string &name, uint32_t &queue_id);
Status DestroyQueue(const int32_t device_id, const uint32_t queue_id) const;
Status EnsureQueueResourceInitialized(const int32_t device_id);
private:
aclmdlRI rt_model_handle_ = nullptr;
uint32_t model_id_ = 0U;
uint32_t runtime_model_id_ = 0U;
aclrtStream rt_entry_stream_ = nullptr;
aclrtStream rt_next_stream_ = nullptr;
aclrtStream rt_fake_stream_ = nullptr;
std::vector<SchedTaskInfoPtr> sched_tasks_;
bool has_align_attr_ = false;
bool enable_post_process_v2_ = false;
uint32_t align_interval_ = 0U;
std::vector<uint32_t> align_offsets_;
ModelQueueParam model_queue_param_;
std::vector<uint64_t> input_mbuf_addrs_;
std::vector<uint64_t> output_mbuf_addrs_;
std::vector<int64_t> output_tensor_sizes_;
std::vector<uint32_t> output_queue_ids_;
std::vector<uint32_t> input_dynamic_flags_;
std::vector<uint32_t> output_dynamic_flags_;
RuntimeTensorDesc *output_static_tensor_descs_ = nullptr;
size_t output_static_tensor_num_ = 0UL;
std::vector<uint64_t> postproc_input_mbuf_addrs_;
std::vector<uint64_t> postproc_output_mbuf_addrs_;
uint64_t req_msg_mbuf_addr_ = 0UL;
uint32_t req_msg_queue_id_ = 0U;
uint64_t resp_msg_mbuf_addr_ = 0UL;
uint32_t resp_msg_queue_id_ = 0U;
uint64_t global_step_ = 0UL;
InputAlignAttrs input_align_attrs_{};
bool skip_mark_step_ = false;
int32_t device_id_ = 0;
std::mutex queue_res_init_mutex_;
bool queue_res_init_flag_ = false;
};
}
#endif