From eed5c0e0bcec63bcb3ccbe0708ee7e599f721996 Mon Sep 17 00:00:00 2001 From: zhangxiaokun Date: Wed, 23 Dec 2020 18:06:48 +0800 Subject: [PATCH] TaskInfo not hold OpDesc. --- .../load/new_model_manager/davinci_model.cc | 2 + .../load/new_model_manager/davinci_model.h | 75 +++++++++- .../task_info/kernel_ex_task_info.cc | 39 +++--- .../task_info/kernel_ex_task_info.h | 3 +- .../task_info/kernel_task_info.cc | 132 ++++++++++-------- .../task_info/kernel_task_info.h | 23 +-- .../task_info/memcpy_async_task_info.cc | 50 +++---- .../task_info/memcpy_async_task_info.h | 3 +- 8 files changed, 190 insertions(+), 137 deletions(-) diff --git a/ge/graph/load/new_model_manager/davinci_model.cc b/ge/graph/load/new_model_manager/davinci_model.cc index 6c873fc2..fd842a4b 100755 --- a/ge/graph/load/new_model_manager/davinci_model.cc +++ b/ge/graph/load/new_model_manager/davinci_model.cc @@ -139,6 +139,7 @@ DavinciModel::DavinciModel(int32_t priority, const std::shared_ptr kernel_list; + std::vector arg_list; + std::vector dump_flag_list; + std::vector op_desc_list; + std::vector dump_args_list; + uint32_t last_dump_flag; + int64_t last_group_key; + uintptr_t last_dump_args; + OpDescPtr last_op; +}; + struct TaskMemInfo { int64_t input_size{0}; int64_t output_size{0}; @@ -98,7 +117,7 @@ enum ExecuteMode { // comments class DavinciModel { - public: +public: /// /// @ingroup ge /// @brief DavinciModel constructor @@ -204,13 +223,14 @@ class DavinciModel { // get total mem size size_t TotalMemSize() const { return runtime_param_.mem_size; } - const std::map &P2PMemInfos() const {return runtime_param_.memory_infos;} + const std::map &P2PMemInfos() const { return runtime_param_.memory_infos; } // model name string Name() const { return name_; } // om_name string OmName() const { return om_name_; } + // version uint32_t Version() const { return version_; } @@ -255,12 +275,16 @@ class DavinciModel { } return nullptr; } + // get task info for profiling const std::vector &GetTaskDescInfo() const { return task_desc_info_; } // get updated task info list std::vector GetTaskList() { return task_list_; } + // Modified from KernelTaskInfo. + SuperKernelTaskInfo &GetSupperKernelTaskInfo() { return skt_info_; } + /// /// @ingroup ge /// @brief get model input and output format @@ -421,6 +445,7 @@ class DavinciModel { const RuntimeParam &GetRuntimeParam() { return runtime_param_; } int32_t GetDataInputTid() const { return dataInputTid; } + void SetDataInputTid(int32_t data_input_tid) { dataInputTid = data_input_tid; } void DisableZeroCopy(const void *addr); @@ -459,6 +484,7 @@ class DavinciModel { } void SetEndGraphId(uint32_t task_id, uint32_t stream_id); + DavinciModel &operator=(const DavinciModel &model) = delete; DavinciModel(const DavinciModel &model) = delete; @@ -466,34 +492,46 @@ class DavinciModel { const map> &GetHcclFolowStream() { return main_follow_stream_mapping_; } + void SaveHcclFollowStream(int64_t main_stream_id, rtStream_t stream); void InitRuntimeParams(); + Status InitVariableMem(); void UpdateMemBase(uint8_t *mem_base) { runtime_param_.mem_base = mem_base; mem_base_ = mem_base; } + void SetTotalArgsSize(uint32_t args_size) { total_args_size_ += args_size; } + uint32_t GetTotalArgsSize() { return total_args_size_; } + void *GetCurrentArgsAddr(uint32_t offset) { void *cur_args = static_cast(args_) + offset; return cur_args; } + void SetTotalIOAddrs(vector &io_addrs) { total_io_addrs_.insert(total_io_addrs_.end(), io_addrs.begin(), io_addrs.end()); } + void SetHybridArgsSize(uint32_t args_size) { total_hybrid_args_size_ += args_size; } + uint32_t GetHybridArgsSize() { return total_hybrid_args_size_; } + void *GetCurrentHybridArgsAddr(uint32_t offset) { void *cur_args = static_cast(hybrid_addrs_) + offset; return cur_args; } + void SetTotalFixedAddrsSize(string tensor_name, int64_t fix_addr_size); + int64_t GetFixedAddrsSize(string tensor_name); + void *GetCurrentFixedAddr(int64_t offset) const { void *cur_addr = static_cast(fixed_addrs_) + offset; return cur_addr; @@ -505,30 +543,42 @@ class DavinciModel { } return UINT32_MAX; } + void SetKnownNode(bool known_node) { known_node_ = known_node; } + bool IsKnownNode() { return known_node_; } + Status MallocKnownArgs(); + Status UpdateKnownNodeArgs(const vector &inputs, const vector &outputs); + Status CreateKnownZeroCopyMap(const vector &inputs, const vector &outputs); + Status UpdateKnownZeroCopyAddr(vector &total_io_addrs); + void SetKnownNodeAddrNotChanged(bool base_addr_not_changed) { base_addr_not_changed_ = base_addr_not_changed; } Status GetOrigInputInfo(uint32_t index, OriginInputInfo &orig_input_info); + Status GetAllAippInputOutputDims(uint32_t index, std::vector &input_dims, std::vector &output_dims); + void SetModelDescVersion(bool is_new_model_desc) { is_new_model_desc_ = is_new_model_desc; } + // om file name void SetOmName(string om_name) { om_name_ = om_name; } void SetDumpProperties(const DumpProperties &dump_properties) { data_dumper_.SetDumpProperties(dump_properties); } + const DumpProperties &GetDumpProperties() const { return data_dumper_.GetDumpProperties(); } bool GetOpDescInfo(uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) const { return data_dumper_.GetOpDescInfo(stream_id, task_id, op_desc_info); } + Status InitInputOutputForDynamic(const ComputeGraphPtr &compute_graph); - private: +private: // memory address of weights uint8_t *weights_mem_base_; uint8_t *var_mem_base_; @@ -592,6 +642,7 @@ class DavinciModel { Status SyncVarData(); Status InitWeightMem(void *dev_ptr, void *weight_ptr, size_t weight_size); + Status InitFeatureMapAndP2PMem(void *dev_ptr, size_t mem_size); void CreateInputDimsInfo(const OpDescPtr &op_desc, Format format, InputOutputDescInfo &input); @@ -610,7 +661,7 @@ class DavinciModel { uint8_t *MallocWeightsMem(size_t weights_size); - uint8_t* MallocP2PMem(size_t p2p_data_size); + uint8_t *MallocP2PMem(size_t p2p_data_size); void FreeFeatureMapMem(); @@ -702,6 +753,7 @@ class DavinciModel { Status InitTbeHandle(const OpDescPtr &op_desc); void StoreTbeHandle(const std::string &handle_key); + void CleanTbeHandle(); /// @@ -740,6 +792,7 @@ class DavinciModel { /// @return: 0 for success / others for fail /// Status BindOutputQueue(); + Status CpuModelPrepareOutput(uintptr_t addr, uint32_t size); /// @@ -777,7 +830,9 @@ class DavinciModel { Status CpuWaitEndGraph(); Status BindEnqueue(); + Status CpuModelEnqueue(uint32_t queue_id, uintptr_t out_mbuf); + /// /// @ingroup ge /// @brief definiteness queue schedule, repeat run model. @@ -786,6 +841,7 @@ class DavinciModel { Status CpuModelRepeat(); Status InitEntryTask(); + Status AddHeadStream(); /// @@ -813,6 +869,7 @@ class DavinciModel { void SetDataDumperArgs(const ComputeGraphPtr &compute_graph); Status InitModelProfile(); + Status SinkModelProfile(); Status SinkTimeProfile(const InputData ¤t_data); @@ -821,14 +878,21 @@ class DavinciModel { std::vector &outputs); void ParseAIPPInfo(std::string in_out_info, InputOutputDims &dims_info); + void SetLabelForDynamic(const NodePtr &node); void ParseDynamicOutShape(const std::vector &str_info, std::vector> &vec_info); + bool IsGetNextSinkDynamic(const OpDescPtr &op_desc); + void GetAllGearsInfo(const NodePtr &node); + Status GetGetDynamicDimsNodeInfo(const NodePtr &node); + Status GetGearAndRealOutSizeInfo(size_t input_count, const NodePtr &node); + Status GetRealOutputSizeOfMerge(size_t input_index, const NodePtr &merge_node); + Status GetGearAndRealOutShapeInfo(size_t input_count, const OpDescPtr &op_desc); bool is_weight_mem_has_inited_; @@ -996,6 +1060,9 @@ class DavinciModel { std::multimap op_id_map_; std::vector profile_list_; + + // For super kernel. + SuperKernelTaskInfo skt_info_; }; } // namespace ge #endif // GE_GRAPH_LOAD_NEW_MODEL_MANAGER_DAVINCI_MODEL_H_ diff --git a/ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.cc b/ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.cc index e5574e47..f1354d8e 100644 --- a/ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.cc +++ b/ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.cc @@ -30,11 +30,7 @@ namespace ge { Status KernelExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci_model) { GELOGI("KernelExTaskInfo Init Start."); - if (davinci_model == nullptr) { - GELOGE(PARAM_INVALID, "davinci_model is null!"); - return PARAM_INVALID; - } - + GE_CHECK_NOTNULL(davinci_model); davinci_model_ = davinci_model; Status ret = SetStream(task_def.stream_id(), davinci_model_->GetStreamList()); if (ret != SUCCESS) { @@ -51,7 +47,6 @@ Status KernelExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davin GELOGE(INTERNAL_ERROR, "Init aicpu task info error, index is out of range!"); return INTERNAL_ERROR; } - op_desc_ = op_desc; // 2. Reconstruct kernelExDef.args to STR_FWK_OP_KERNEL STR_FWK_OP_KERNEL fwk_op_kernel = {0}; @@ -79,8 +74,8 @@ Status KernelExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davin return RT_ERROR_TO_GE_STATUS(rt_ret);) } - GELOGI("Node[%s] type[%s] kernel_ext_info size=%zu, ext_info_addr_=%p", op_desc_->GetName().c_str(), - op_desc_->GetType().c_str(), ext_info.size(), ext_info_addr_); + GELOGI("Node[%s] type[%s] kernel_ext_info size=%zu, ext_info_addr_=%p", op_desc->GetName().c_str(), + op_desc->GetType().c_str(), ext_info.size(), ext_info_addr_); // 2.1 get loop cond variable for tensor array write uint64_t step_id_addr = 0; @@ -236,36 +231,38 @@ Status KernelExTaskInfo::CalculateArgs(const domi::TaskDef &task_def, DavinciMod return SUCCESS; } -Status KernelExTaskInfo::UpdateArgs() { - GELOGI("KernelExTaskInfo::UpdateArgs in."); +Status KernelExTaskInfo::SetIoAddr(const OpDescPtr &op_desc) { const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam(); - vector input_data_addrs = ModelUtils::GetInputDataAddrs(rts_param, op_desc_); - vector output_data_addrs = ModelUtils::GetOutputDataAddrs(rts_param, op_desc_); - vector io_addrs; - if (!op_desc_->HasAttr(ATTR_DYNAMIC_SHAPE_FIXED_ADDR)) { - io_addrs.insert(io_addrs.end(), input_data_addrs.begin(), input_data_addrs.end()); - io_addrs.insert(io_addrs.end(), output_data_addrs.begin(), output_data_addrs.end()); + vector input_data_addrs = ModelUtils::GetInputDataAddrs(rts_param, op_desc); + vector output_data_addrs = ModelUtils::GetOutputDataAddrs(rts_param, op_desc); + if (!op_desc->HasAttr(ATTR_DYNAMIC_SHAPE_FIXED_ADDR)) { + io_addrs_.insert(io_addrs_.end(), input_data_addrs.begin(), input_data_addrs.end()); + io_addrs_.insert(io_addrs_.end(), output_data_addrs.begin(), output_data_addrs.end()); } else { string peer_input_name; - if (AttrUtils::GetStr(op_desc_, ATTR_DYNAMIC_SHAPE_FIXED_ADDR, peer_input_name)) { + if (AttrUtils::GetStr(op_desc, ATTR_DYNAMIC_SHAPE_FIXED_ADDR, peer_input_name)) { uint32_t output_index = davinci_model_->GetFixedAddrOutputIndex(peer_input_name); if (output_index > output_data_addrs.size()) { GELOGE(FAILED, "The output data addr size[%zu] and output index[%u] are inconsistent.", output_data_addrs.size(), output_index); return FAILED; } - io_addrs.insert(io_addrs.end(), input_data_addrs.begin(), input_data_addrs.end()); + io_addrs_.insert(io_addrs_.end(), input_data_addrs.begin(), input_data_addrs.end()); for (size_t i = 0; i < output_data_addrs.size(); ++i) { if (i == output_index) { void *fixed_addr = davinci_model_->GetCurrentFixedAddr(fixed_addr_offset_); - io_addrs.emplace_back(fixed_addr); + io_addrs_.emplace_back(fixed_addr); continue; } - io_addrs.emplace_back(output_data_addrs[i]); + io_addrs_.emplace_back(output_data_addrs[i]); } } } - davinci_model_->SetTotalIOAddrs(io_addrs); + return SUCCESS; +} +Status KernelExTaskInfo::UpdateArgs() { + GELOGI("KernelExTaskInfo::UpdateArgs in."); + davinci_model_->SetTotalIOAddrs(io_addrs_); GELOGI("KernelExTaskInfo::UpdateArgs success."); return SUCCESS; } diff --git a/ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.h b/ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.h index e4d3e6fd..86a27abf 100644 --- a/ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.h +++ b/ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.h @@ -59,6 +59,7 @@ class KernelExTaskInfo : public TaskInfo { }; private: Status CopyTaskInfo(const domi::KernelExDef &kernel_def, const RuntimeParam &rts_param, const OpDescPtr &op_desc); + Status SetIoAddr(const OpDescPtr &op_desc); uint32_t task_id_; uint32_t stream_id_; @@ -69,7 +70,7 @@ class KernelExTaskInfo : public TaskInfo { void *input_output_addr_; void *ext_info_addr_; void *dump_args_; - OpDescPtr op_desc_ = nullptr; + vector io_addrs_; uint32_t args_offset_ = 0; int64_t fixed_addr_offset_ = 0; }; diff --git a/ge/graph/load/new_model_manager/task_info/kernel_task_info.cc b/ge/graph/load/new_model_manager/task_info/kernel_task_info.cc index ce31ef30..620ddbbb 100755 --- a/ge/graph/load/new_model_manager/task_info/kernel_task_info.cc +++ b/ge/graph/load/new_model_manager/task_info/kernel_task_info.cc @@ -53,9 +53,6 @@ const int kArgsAttrHandle = 4; } // namespace namespace ge { -KernelTaskInfo::SuperKernelTaskInfo KernelTaskInfo::skt_info_ = { - 0, 0, 0, 0, nullptr, nullptr, {}, {}, {}, {}, {}, RT_KERNEL_DEFAULT, kInvalidGroupKey, 0, nullptr}; - Status KernelTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci_model) { GE_CHECK_NOTNULL(davinci_model); davinci_model_ = davinci_model; @@ -137,6 +134,7 @@ Status KernelTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci ret = InitCceTask(kernel_def); } + SetIoAddrs(op_desc_); GELOGD("KernelTaskInfo init finish, result=%u.", ret); return ret; } @@ -148,9 +146,10 @@ Status KernelTaskInfo::SaveSKTDumpInfo() { return SUCCESS; } // all op in super kernel share one taskid and streamid - for (size_t i = 0; i < skt_info_.op_desc_list.size(); i++) { - davinci_model_->SaveDumpTask(skt_info_.last_task_id, skt_info_.last_stream_id, skt_info_.op_desc_list[i], - skt_info_.dump_args_list[i]); + const SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); + for (size_t i = 0; i < skt_info.op_desc_list.size(); i++) { + davinci_model_->SaveDumpTask(skt_info.last_task_id, skt_info.last_stream_id, skt_info.op_desc_list[i], + skt_info.dump_args_list[i]); } return SUCCESS; } @@ -164,9 +163,10 @@ void KernelTaskInfo::UpdateSKTTaskId() { GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret); return; } - skt_info_.last_task_id = task_id; - skt_info_.last_stream_id = stream_id; - skt_id_ = skt_info_.last_task_id; + SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); + skt_info.last_task_id = task_id; + skt_info.last_stream_id = stream_id; + skt_id_ = skt_info.last_task_id; GELOGI("UpdateTaskId:UpdateSKTTaskId [%u],stream id [%u]", task_id, stream_id); } @@ -191,23 +191,25 @@ Status KernelTaskInfo::SKTFinalize() { UpdateSKTTaskId(); GE_CHK_STATUS_RET(SaveSKTDumpInfo(), "skt save dump info failed"); GELOGI("SuperKernel Distribute [skt_id:%u]", skt_id_); - skt_info_.kernel_list.clear(); - skt_info_.arg_list.clear(); - skt_info_.dump_flag_list.clear(); - skt_info_.op_desc_list.clear(); - skt_info_.dump_args_list.clear(); - skt_info_.last_stream = nullptr; - skt_info_.last_block_dim = 0; - skt_info_.last_sm_desc = sm_desc_; - skt_info_.last_group_key = kInvalidGroupKey; - skt_info_.last_dump_flag = RT_KERNEL_DEFAULT; - skt_info_.last_dump_args = 0; - skt_info_.last_op = nullptr; + SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); + skt_info.kernel_list.clear(); + skt_info.arg_list.clear(); + skt_info.dump_flag_list.clear(); + skt_info.op_desc_list.clear(); + skt_info.dump_args_list.clear(); + skt_info.last_stream = nullptr; + skt_info.last_block_dim = 0; + skt_info.last_sm_desc = sm_desc_; + skt_info.last_group_key = kInvalidGroupKey; + skt_info.last_dump_flag = RT_KERNEL_DEFAULT; + skt_info.last_dump_args = 0; + skt_info.last_op = nullptr; return SUCCESS; } uint32_t KernelTaskInfo::GetDumpFlag() { - for (auto flag : skt_info_.dump_flag_list) { + const SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); + for (auto flag : skt_info.dump_flag_list) { if (flag == RT_KERNEL_DUMPFLAG) { return RT_KERNEL_DUMPFLAG; } @@ -216,19 +218,20 @@ uint32_t KernelTaskInfo::GetDumpFlag() { } Status KernelTaskInfo::SuperKernelLaunch() { - if (skt_info_.kernel_list.empty()) { + SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); + if (skt_info.kernel_list.empty()) { GELOGI("SuperKernelLaunch: Skt_kernel_list has no task, just return"); return SUCCESS; } rtError_t rt_ret; - auto &skt_kernel_list = skt_info_.kernel_list; - auto &skt_arg_list = skt_info_.arg_list; + auto &skt_kernel_list = skt_info.kernel_list; + auto &skt_arg_list = skt_info.arg_list; GELOGI("SuperKernelLaunch: Skt_kernel_list size[%zu] skt_arg_list[%zu]", skt_kernel_list.size(), skt_arg_list.size()); if (skt_kernel_list.size() == kSKTSingleSize && skt_arg_list.size() == kSKTSingleSize) { - rt_ret = rtKernelLaunchWithFlag(skt_info_.kernel_list[0], static_cast(skt_info_.last_block_dim), - skt_info_.arg_list[0], skt_info_.last_args_size, - static_cast(skt_info_.last_sm_desc), skt_info_.last_stream, - skt_info_.last_dump_flag); + rt_ret = rtKernelLaunchWithFlag(skt_info.kernel_list[0], static_cast(skt_info.last_block_dim), + skt_info.arg_list[0], skt_info.last_args_size, + static_cast(skt_info.last_sm_desc), skt_info.last_stream, + skt_info.last_dump_flag); if (rt_ret != RT_ERROR_NONE) { GELOGE(RT_FAILED, "SuperKernelLaunch: Call rt api failed, ret: 0x%X", rt_ret); return RT_ERROR_TO_GE_STATUS(rt_ret); @@ -247,14 +250,14 @@ Status KernelTaskInfo::SuperKernelLaunch() { } // Call the fuse API std::unique_ptr superKernel = nullptr; - ge_ret = factory->FuseKernels(skt_kernel_list, skt_arg_list, skt_info_.last_block_dim, superKernel); + ge_ret = factory->FuseKernels(skt_kernel_list, skt_arg_list, skt_info.last_block_dim, superKernel); if (ge_ret != SUCCESS) { GELOGE(ge_ret, "SuperKernelLaunch: fuse call failed"); return ge_ret; } // Launch a super kernel skt_dump_flag_ = GetDumpFlag(); - ge_ret = superKernel->Launch(skt_info_.last_stream, skt_dump_flag_); + ge_ret = superKernel->Launch(skt_info.last_stream, skt_dump_flag_); if (ge_ret != SUCCESS) { GELOGE(ge_ret, "SuperKernelLaunch: launch failed"); return ge_ret; @@ -269,23 +272,26 @@ Status KernelTaskInfo::SuperKernelLaunch() { } Status KernelTaskInfo::SaveSuperKernelInfo() { - skt_info_.kernel_list.push_back(stub_func_); - skt_info_.arg_list.push_back(args_); - skt_info_.last_stream = stream_; - skt_info_.last_block_dim = block_dim_; - skt_info_.last_args_size = args_size_; - skt_info_.last_sm_desc = sm_desc_; - skt_info_.last_dump_flag = dump_flag_; - skt_info_.dump_flag_list.push_back(dump_flag_); - skt_info_.op_desc_list.push_back(op_desc_); - skt_info_.dump_args_list.push_back(reinterpret_cast(skt_dump_args_)); - skt_info_.last_group_key = group_key_; - skt_info_.last_dump_args = reinterpret_cast(skt_dump_args_); - skt_info_.last_op = op_desc_; + SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); + skt_info.kernel_list.push_back(stub_func_); + skt_info.arg_list.push_back(args_); + skt_info.last_stream = stream_; + skt_info.last_block_dim = block_dim_; + skt_info.last_args_size = args_size_; + skt_info.last_sm_desc = sm_desc_; + skt_info.last_dump_flag = dump_flag_; + skt_info.dump_flag_list.push_back(dump_flag_); + skt_info.op_desc_list.push_back(op_desc_); + skt_info.dump_args_list.push_back(reinterpret_cast(skt_dump_args_)); + skt_info.last_group_key = group_key_; + skt_info.last_dump_args = reinterpret_cast(skt_dump_args_); + skt_info.last_op = op_desc_; // last node in a stream, just launch if (IsMarkedLastNode()) { return SuperKernelLaunch(); } + + GELOGI("Save Current task [block_dim:%u, size:%zu].", block_dim_, skt_info.kernel_list.size()); return SUCCESS; } @@ -322,8 +328,9 @@ bool KernelTaskInfo::IsMarkedFirstNode() { // then may be saved to skt task list; else // call skt launch those saved tasks before bool KernelTaskInfo::FirstCallSKTLaunchCheck() { - return ((block_dim_ != skt_info_.last_block_dim) || (stream_ != skt_info_.last_stream) || - (has_group_key_ && (group_key_ != skt_info_.last_group_key))); + const SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); + return ((block_dim_ != skt_info.last_block_dim) || (stream_ != skt_info.last_stream) || + (has_group_key_ && (group_key_ != skt_info.last_group_key))); } // current task has group_id or has n ATTR_N_BATCH_SPLIT then save it to skt task list; else @@ -362,7 +369,6 @@ Status KernelTaskInfo::SuperKernelDistribute() { GELOGE(ret, "Call SuperKernelLaunch failed!"); return ret; } - GELOGI("Save Current task [block_dim:%u, size:%zu].", block_dim_, skt_info_.kernel_list.size()); } return SUCCESS; } @@ -391,10 +397,11 @@ Status KernelTaskInfo::Distribute() { call_save_dump_ = true; } else { /* default: not skt launch */ + const SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); GELOGD( "KernelTaskInfo Distribute Start, sktenable:%d taskid:%u sktid:%u last_sktid:%u stubfunc_name:%s " "stubfunc:%p blockdim:%u stream:%p", - call_skt, task_id_, skt_id_, skt_info_.last_task_id, stub_func_name_.c_str(), stub_func_, block_dim_, stream_); + call_skt, task_id_, skt_id_, skt_info.last_task_id, stub_func_name_.c_str(), stub_func_, block_dim_, stream_); // l1 fusion enable and env flag open (kCloseSkt for skt debug) bool open_dump = false; auto all_dump_model = davinci_model_->GetDumpProperties().GetAllDumpModel(); @@ -422,23 +429,30 @@ Status KernelTaskInfo::Distribute() { "KernelTaskInfo Distribute Success. sktenable:%d taskid:%d sktid:%d stubfunc_name:%s stubfunc:%p " "blockdim:%d stream:%p", call_skt, task_id_, skt_id_, stub_func_name_.c_str(), stub_func_, block_dim_, stream_); + op_desc_.reset(); // Not hold OpDesc after distribute. return SUCCESS; } +void KernelTaskInfo::SetIoAddrs(const OpDescPtr &op_desc) { + const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam(); + vector input_data_addrs = ModelUtils::GetInputDataAddrs(rts_param, op_desc); + vector output_data_addrs = ModelUtils::GetOutputDataAddrs(rts_param, op_desc); + + io_addrs_.insert(io_addrs_.end(), input_data_addrs.begin(), input_data_addrs.end()); + io_addrs_.insert(io_addrs_.end(), output_data_addrs.begin(), output_data_addrs.end()); + if (kernel_type_ == ccKernelType::TE) { + vector workspace_data_addrs = ModelUtils::GetWorkspaceDataAddrs(rts_param, op_desc); + io_addrs_.insert(io_addrs_.end(), workspace_data_addrs.begin(), workspace_data_addrs.end()); + } +} + Status KernelTaskInfo::UpdateArgs() { GELOGI("KernelTaskInfo::UpdateArgs in."); - const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam(); - vector input_data_addrs = ModelUtils::GetInputDataAddrs(rts_param, op_desc_); - vector output_data_addrs = ModelUtils::GetOutputDataAddrs(rts_param, op_desc_); - vector io_addrs; - io_addrs.insert(io_addrs.end(), input_data_addrs.begin(), input_data_addrs.end()); - io_addrs.insert(io_addrs.end(), output_data_addrs.begin(), output_data_addrs.end()); if (kernel_type_ == ccKernelType::TE) { - vector workspace_data_addrs = ModelUtils::GetWorkspaceDataAddrs(rts_param, op_desc_); - io_addrs.insert(io_addrs.end(), workspace_data_addrs.begin(), workspace_data_addrs.end()); - davinci_model_->SetTotalIOAddrs(io_addrs); + davinci_model_->SetTotalIOAddrs(io_addrs_); } else if (kernel_type_ == ccKernelType::AI_CPU || kernel_type_ == ccKernelType::CUST_AI_CPU) { + vector io_addrs = io_addrs_; davinci_model_->UpdateKnownZeroCopyAddr(io_addrs); uintptr_t io_addr = reinterpret_cast(args_addr.get()) + sizeof(aicpu::AicpuParamHead); auto addrs_size = sizeof(uint64_t) * io_addrs.size(); @@ -854,14 +868,14 @@ Status KernelTaskInfo::InitAicpuTask(uint32_t op_index, const domi::KernelDef &k GELOGI("Do InitAicpuTask"); so_name_ = kernel_def.so_name(); kernel_name_ = kernel_def.kernel_name(); - GELOGI("node[%s] test so name %s, kernel name %s", op_desc_->GetName().c_str(), so_name_.c_str(), - kernel_name_.c_str()); OpDescPtr op_desc = davinci_model_->GetOpByIndex(op_index); if (op_desc == nullptr) { GELOGE(INTERNAL_ERROR, "index is out of range, index: %u", op_index); return INTERNAL_ERROR; } + GELOGI("node[%s] test so name %s, kernel name %s", op_desc->GetName().c_str(), so_name_.c_str(), + kernel_name_.c_str()); if (kernel_type_ == ccKernelType::CUST_AI_CPU) { bool loaded = false; diff --git a/ge/graph/load/new_model_manager/task_info/kernel_task_info.h b/ge/graph/load/new_model_manager/task_info/kernel_task_info.h index 7717edd3..f45cf1f3 100644 --- a/ge/graph/load/new_model_manager/task_info/kernel_task_info.h +++ b/ge/graph/load/new_model_manager/task_info/kernel_task_info.h @@ -128,6 +128,7 @@ class KernelTaskInfo : public TaskInfo { Status SuperKernelDistribute(); bool IsL1FusionOp(const OpDescPtr &op_desc); + void SetIoAddrs(const OpDescPtr &op_desc); // For super kernel Status SaveSKTDumpInfo(); @@ -156,7 +157,8 @@ class KernelTaskInfo : public TaskInfo { ccKernelType kernel_type_; uint32_t dump_flag_; void *dump_args_; - OpDescPtr op_desc_; + OpDescPtr op_desc_; // Clear after distribute. + vector io_addrs_; DavinciModel *davinci_model_; uint32_t args_offset_ = 0; uint32_t hybrid_args_offset_ = 0; @@ -186,25 +188,6 @@ class KernelTaskInfo : public TaskInfo { void *output_addrs = nullptr; void *attr_handle = nullptr; } custom_info_; - - // For super kernel - static struct SuperKernelTaskInfo { - uint32_t last_block_dim; - uint32_t last_args_size; - uint32_t last_task_id; - uint32_t last_stream_id; - void *last_stream; - void *last_sm_desc; - std::vector kernel_list; - std::vector arg_list; - std::vector dump_flag_list; - std::vector op_desc_list; - std::vector dump_args_list; - uint32_t last_dump_flag; - int64_t last_group_key; - uintptr_t last_dump_args; - OpDescPtr last_op; - } skt_info_; }; } // namespace ge #endif // GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_KERNEL_TASK_INFO_H_ diff --git a/ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.cc b/ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.cc index aa37dd07..8d0e9ec6 100755 --- a/ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.cc +++ b/ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.cc @@ -30,14 +30,14 @@ Status MemcpyAsyncTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *da return ret; } - memcpy_async_ = task_def.memcpy_async(); - count_ = memcpy_async_.count(); - kind_ = memcpy_async_.kind(); - dst_max_ = memcpy_async_.dst_max(); - OpDescPtr op_desc = davinci_model_->GetOpByIndex(memcpy_async_.op_index()); + const domi::MemcpyAsyncDef &memcpy_async = task_def.memcpy_async(); + count_ = memcpy_async.count(); + kind_ = memcpy_async.kind(); + dst_max_ = memcpy_async.dst_max(); + OpDescPtr op_desc = davinci_model_->GetOpByIndex(memcpy_async.op_index()); op_desc_ = op_desc; if (op_desc == nullptr) { - GELOGE(INTERNAL_ERROR, "Task op index:%u out of range", memcpy_async_.op_index()); + GELOGE(INTERNAL_ERROR, "Task op index:%u out of range", memcpy_async.op_index()); return INTERNAL_ERROR; } @@ -52,7 +52,7 @@ Status MemcpyAsyncTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *da } const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam(); - ret = ModelUtils::GetRtAddress(rts_param, memcpy_async_.src(), src_); + ret = ModelUtils::GetRtAddress(rts_param, memcpy_async.src(), src_); if (ret != SUCCESS) { return ret; } @@ -61,23 +61,31 @@ Status MemcpyAsyncTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *da vector memory_type_list; (void)AttrUtils::GetListInt(op_desc, ATTR_NAME_OUTPUT_MEM_TYPE_LIST, memory_type_list); if (!memory_type_list.empty() && memory_type_list[0] == RT_MEMORY_TS_4G) { // TS Feature, Just one. - uint64_t mem_offset = memcpy_async_.dst() - rts_param.logic_mem_base; - dst_ = static_cast(rts_param.ts_mem_mall->Acquire(mem_offset, memcpy_async_.dst_max())); + uint64_t mem_offset = memcpy_async.dst() - rts_param.logic_mem_base; + dst_ = static_cast(rts_param.ts_mem_mall->Acquire(mem_offset, memcpy_async.dst_max())); if (dst_ == nullptr) { return FAILED; } } else { - ret = ModelUtils::GetRtAddress(rts_param, memcpy_async_.dst(), dst_); + ret = ModelUtils::GetRtAddress(rts_param, memcpy_async.dst(), dst_); if (ret != SUCCESS) { return ret; } } GELOGI("MemcpyAsyncTaskInfo Init Success, logic[0x%lx, 0x%lx], src:%p, dst:%p, max:%lu, count:%lu", - memcpy_async_.src(), memcpy_async_.dst(), src_, dst_, dst_max_, count_); + memcpy_async.src(), memcpy_async.dst(), src_, dst_, dst_max_, count_); davinci_model_->DisableZeroCopy(src_); davinci_model_->DisableZeroCopy(dst_); + + io_addrs_.emplace_back(reinterpret_cast(src_)); + if (op_desc->HasAttr(ATTR_DYNAMIC_SHAPE_FIXED_ADDR)) { + void *fixed_addr = davinci_model_->GetCurrentFixedAddr(fixed_addr_offset_); + io_addrs_.emplace_back(fixed_addr); + } else { + io_addrs_.emplace_back(reinterpret_cast(dst_)); + } return SUCCESS; } @@ -118,25 +126,7 @@ Status MemcpyAsyncTaskInfo::CalculateArgs(const domi::TaskDef &task_def, Davinci Status MemcpyAsyncTaskInfo::UpdateArgs() { GELOGI("MemcpyAsyncTaskInfo::UpdateArgs in."); GE_CHECK_NOTNULL(davinci_model_); - Status ret = ModelUtils::GetRtAddress(davinci_model_->GetRuntimeParam(), memcpy_async_.src(), src_); - if (ret != SUCCESS) { - return ret; - } - - ret = ModelUtils::GetRtAddress(davinci_model_->GetRuntimeParam(), memcpy_async_.dst(), dst_); - if (ret != SUCCESS) { - return ret; - } - - vector io_addrs; - io_addrs.emplace_back(reinterpret_cast(src_)); - if (op_desc_->HasAttr(ATTR_DYNAMIC_SHAPE_FIXED_ADDR)) { - void *fixed_addr = davinci_model_->GetCurrentFixedAddr(fixed_addr_offset_); - io_addrs.emplace_back(fixed_addr); - } else { - io_addrs.emplace_back(reinterpret_cast(dst_)); - } - davinci_model_->SetTotalIOAddrs(io_addrs); + davinci_model_->SetTotalIOAddrs(io_addrs_); GELOGI("MemcpyAsyncTaskInfo::UpdateArgs success."); return SUCCESS; diff --git a/ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.h b/ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.h index 7e74ab6f..d7506840 100755 --- a/ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.h +++ b/ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.h @@ -44,11 +44,10 @@ class MemcpyAsyncTaskInfo : public TaskInfo { uint8_t *src_; uint64_t count_; uint32_t kind_; - OpDescPtr op_desc_; + vector io_addrs_; int64_t fixed_addr_offset_; DavinciModel *davinci_model_ = nullptr; uint32_t args_offset_ = 0; - domi::MemcpyAsyncDef memcpy_async_; }; } // namespace ge #endif // GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_MEMCPY_ASYNC_TASK_INFO_H_