| @@ -77,7 +77,7 @@ struct timeInfo { | |||
| }; | |||
| // For super kernel | |||
| static struct SuperKernelTaskInfo { | |||
| struct SuperKernelTaskInfo { | |||
| uint32_t last_block_dim; | |||
| uint32_t last_args_size; | |||
| uint32_t last_task_id; | |||
| @@ -117,7 +117,7 @@ enum ExecuteMode { | |||
| // comments | |||
| class DavinciModel { | |||
| public: | |||
| public: | |||
| /// | |||
| /// @ingroup ge | |||
| /// @brief DavinciModel constructor | |||
| @@ -283,7 +283,7 @@ public: | |||
| std::vector<TaskInfoPtr> GetTaskList() { return task_list_; } | |||
| // Modified from KernelTaskInfo. | |||
| SuperKernelTaskInfo &GetSupperKernelTaskInfo() { return skt_info_; } | |||
| SuperKernelTaskInfo &GetSuperKernelTaskInfo() { return skt_info_; } | |||
| /// | |||
| /// @ingroup ge | |||
| @@ -445,7 +445,6 @@ public: | |||
| 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); | |||
| @@ -484,7 +483,6 @@ public: | |||
| } | |||
| void SetEndGraphId(uint32_t task_id, uint32_t stream_id); | |||
| DavinciModel &operator=(const DavinciModel &model) = delete; | |||
| DavinciModel(const DavinciModel &model) = delete; | |||
| @@ -492,46 +490,34 @@ public: | |||
| const map<int64_t, std::vector<rtStream_t>> &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<char *>(args_) + offset; | |||
| return cur_args; | |||
| } | |||
| void SetTotalIOAddrs(vector<void *> &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<char *>(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<char *>(fixed_addrs_) + offset; | |||
| return cur_addr; | |||
| @@ -543,42 +529,30 @@ public: | |||
| } | |||
| return UINT32_MAX; | |||
| } | |||
| void SetKnownNode(bool known_node) { known_node_ = known_node; } | |||
| bool IsKnownNode() { return known_node_; } | |||
| Status MallocKnownArgs(); | |||
| Status UpdateKnownNodeArgs(const vector<void *> &inputs, const vector<void *> &outputs); | |||
| Status CreateKnownZeroCopyMap(const vector<void *> &inputs, const vector<void *> &outputs); | |||
| Status UpdateKnownZeroCopyAddr(vector<void *> &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<InputOutputDims> &input_dims, | |||
| std::vector<InputOutputDims> &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_; | |||
| @@ -753,7 +727,6 @@ private: | |||
| Status InitTbeHandle(const OpDescPtr &op_desc); | |||
| void StoreTbeHandle(const std::string &handle_key); | |||
| void CleanTbeHandle(); | |||
| /// | |||
| @@ -792,7 +765,6 @@ private: | |||
| /// @return: 0 for success / others for fail | |||
| /// | |||
| Status BindOutputQueue(); | |||
| Status CpuModelPrepareOutput(uintptr_t addr, uint32_t size); | |||
| /// | |||
| @@ -830,9 +802,7 @@ private: | |||
| Status CpuWaitEndGraph(); | |||
| Status BindEnqueue(); | |||
| Status CpuModelEnqueue(uint32_t queue_id, uintptr_t out_mbuf); | |||
| /// | |||
| /// @ingroup ge | |||
| /// @brief definiteness queue schedule, repeat run model. | |||
| @@ -841,7 +811,6 @@ private: | |||
| Status CpuModelRepeat(); | |||
| Status InitEntryTask(); | |||
| Status AddHeadStream(); | |||
| /// | |||
| @@ -869,7 +838,6 @@ private: | |||
| void SetDataDumperArgs(const ComputeGraphPtr &compute_graph); | |||
| Status InitModelProfile(); | |||
| Status SinkModelProfile(); | |||
| Status SinkTimeProfile(const InputData ¤t_data); | |||
| @@ -878,21 +846,14 @@ private: | |||
| std::vector<ge::OutputTensorInfo> &outputs); | |||
| void ParseAIPPInfo(std::string in_out_info, InputOutputDims &dims_info); | |||
| void SetLabelForDynamic(const NodePtr &node); | |||
| void ParseDynamicOutShape(const std::vector<std::string> &str_info, std::vector<vector<int64_t>> &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_; | |||
| @@ -59,40 +59,40 @@ Status HcclTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci_m | |||
| GELOGI("HcclTaskInfo Init, op_index is: %u", op_index); | |||
| // Get HCCL op | |||
| op_desc_ = davinci_model->GetOpByIndex(op_index); | |||
| GE_CHECK_NOTNULL(op_desc_); | |||
| const auto op_desc = davinci_model->GetOpByIndex(op_index); | |||
| GE_CHECK_NOTNULL(op_desc); | |||
| // Create the kernel hccl infos | |||
| CreateKernelHcclInfo(op_desc_); | |||
| CreateKernelHcclInfo(op_desc); | |||
| // Initialize the hccl_type of all kernel hccl info | |||
| HcomOmeUtil::GetHcclType(task_def, kernel_hccl_infos_); | |||
| // Only in Horovod scenario should get the inputName and GeShape | |||
| ret = HcomOmeUtil::GetHorovodInputs(op_desc_, kernel_hccl_infos_); | |||
| ret = HcomOmeUtil::GetHorovodInputs(op_desc, kernel_hccl_infos_); | |||
| if (ret != SUCCESS) { | |||
| GELOGE(ret, "davinci_model: GetHorovodInputs fail! domi error: %u", ret); | |||
| return ret; | |||
| } | |||
| Status dmrt = HcomOmeUtil::GetHcclDataType(op_desc_, kernel_hccl_infos_); | |||
| Status dmrt = HcomOmeUtil::GetHcclDataType(op_desc, kernel_hccl_infos_); | |||
| if (dmrt != SUCCESS) { | |||
| GELOGE(dmrt, "davinci_model: GetHcomDataType fail! domi error: %u", dmrt); | |||
| return dmrt; | |||
| } | |||
| dmrt = HcomOmeUtil::GetHcclCount(op_desc_, kernel_hccl_infos_); | |||
| dmrt = HcomOmeUtil::GetHcclCount(op_desc, kernel_hccl_infos_); | |||
| if (dmrt != SUCCESS) { | |||
| GELOGE(dmrt, "davinci_model: GetHcomCount fail! domi error: %u", dmrt); | |||
| return dmrt; | |||
| } | |||
| // Only HCOMBROADCAST and HVDCALLBACKBROADCAST need to get the rootId | |||
| dmrt = HcomOmeUtil::GetAllRootId(op_desc_, kernel_hccl_infos_); | |||
| dmrt = HcomOmeUtil::GetAllRootId(op_desc, kernel_hccl_infos_); | |||
| if (dmrt != SUCCESS) { | |||
| GELOGE(dmrt, "davinci_model: Get rootId fail! domi error: %u", dmrt); | |||
| return dmrt; | |||
| } | |||
| // GE's new process: hccl declares the number of streams required, creates a stream by GE, and sends it to hccl | |||
| ret = SetFollowStream(op_desc_, davinci_model); | |||
| ret = SetFollowStream(op_desc, davinci_model); | |||
| if (ret != SUCCESS) { | |||
| GELOGE(ret, "SetStream Fail."); | |||
| return ret; | |||
| @@ -100,21 +100,28 @@ Status HcclTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci_m | |||
| if (davinci_model_->IsKnownNode()) { | |||
| args_ = davinci_model_->GetCurrentArgsAddr(args_offset_); | |||
| GELOGI("Known node %s args addr %p, offset %u.", op_desc_->GetName().c_str(), args_, args_offset_); | |||
| GELOGI("Known node %s args addr %p, offset %u.", op_desc->GetName().c_str(), args_, args_offset_); | |||
| } | |||
| ret = SetAddrs(op_desc_, kernel_hccl_infos_); | |||
| ret = SetAddrs(op_desc, kernel_hccl_infos_); | |||
| if (ret != SUCCESS) { | |||
| GELOGE(ret, "Setaddrs Fail."); | |||
| return ret; | |||
| } | |||
| // GE's new process: hccl declares the need for Workspace size, and GE allocates Workspace | |||
| ret = SetWorkspace(op_desc_, kernel_hccl_infos_); | |||
| ret = SetWorkspace(op_desc, kernel_hccl_infos_); | |||
| if (ret != SUCCESS) { | |||
| GELOGE(ret, "SetWorkspace Fail."); | |||
| return ret; | |||
| } | |||
| const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam(); | |||
| const auto input_data_addrs = ModelUtils::GetInputDataAddrs(rts_param, op_desc); | |||
| const auto output_data_addrs = ModelUtils::GetOutputDataAddrs(rts_param, op_desc); | |||
| const auto workspace_data_addrs = ModelUtils::GetWorkspaceDataAddrs(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()); | |||
| io_addrs_.insert(io_addrs_.end(), workspace_data_addrs.begin(), workspace_data_addrs.end()); | |||
| GELOGI("HcclTaskInfo Init Success"); | |||
| return SUCCESS; | |||
| } | |||
| @@ -231,18 +238,7 @@ Status HcclTaskInfo::CalculateArgs(const domi::TaskDef &task_def, DavinciModel * | |||
| Status HcclTaskInfo::UpdateArgs() { | |||
| GELOGI("HcclTaskInfo::UpdateArgs in."); | |||
| const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam(); | |||
| input_data_addrs_ = ModelUtils::GetInputDataAddrs(rts_param, op_desc_); | |||
| output_data_addrs_ = ModelUtils::GetOutputDataAddrs(rts_param, op_desc_); | |||
| workspace_data_addrs_ = ModelUtils::GetWorkspaceDataAddrs(rts_param, op_desc_); | |||
| vector<void *> 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()); | |||
| io_addrs.insert(io_addrs.end(), workspace_data_addrs_.begin(), workspace_data_addrs_.end()); | |||
| davinci_model_->SetTotalIOAddrs(io_addrs); | |||
| davinci_model_->SetTotalIOAddrs(io_addrs_); | |||
| GELOGI("HcclTaskInfo::UpdateArgs success."); | |||
| return SUCCESS; | |||
| } | |||
| @@ -261,9 +257,11 @@ Status HcclTaskInfo::SetAddrs(const std::shared_ptr<OpDesc> &op_desc, | |||
| HcclReduceOp op_type = HCCL_REDUCE_SUM; | |||
| GE_CHECK_NOTNULL(davinci_model_); | |||
| GELOGI("Calc opType[%s] input address before. Node name[%s]", op_desc->GetType().c_str(), op_desc->GetName().c_str()); | |||
| vector<void *> input_data_addrs; | |||
| vector<void *> output_data_addrs; | |||
| if (!davinci_model_->IsKnownNode()) { | |||
| input_data_addrs_ = ModelUtils::GetInputDataAddrs(davinci_model_->GetRuntimeParam(), op_desc); | |||
| output_data_addrs_ = ModelUtils::GetOutputDataAddrs(davinci_model_->GetRuntimeParam(), op_desc); | |||
| input_data_addrs = ModelUtils::GetInputDataAddrs(davinci_model_->GetRuntimeParam(), op_desc); | |||
| output_data_addrs = ModelUtils::GetOutputDataAddrs(davinci_model_->GetRuntimeParam(), op_desc); | |||
| } | |||
| void *input_data_addr = nullptr; | |||
| void *output_data_addr = nullptr; | |||
| @@ -275,8 +273,8 @@ Status HcclTaskInfo::SetAddrs(const std::shared_ptr<OpDesc> &op_desc, | |||
| output_data_addr = reinterpret_cast<void *>(reinterpret_cast<uint64_t *>(args_) + op_desc->GetInputsSize() + i); | |||
| GELOGI("Hccl task info known input addr %p, output addr %p.", input_data_addr, output_data_addr); | |||
| } else { | |||
| input_data_addr = input_data_addrs_.empty() ? nullptr : input_data_addrs_[i]; | |||
| output_data_addr = output_data_addrs_.empty() ? nullptr : output_data_addrs_[i]; | |||
| input_data_addr = input_data_addrs.empty() ? nullptr : input_data_addrs[i]; | |||
| output_data_addr = output_data_addrs.empty() ? nullptr : output_data_addrs[i]; | |||
| } | |||
| kernel_hccl_infos[i].inputDataAddr = input_data_addr; | |||
| if (hccl_type == HCOMALLGATHER || hccl_type == HCOMRECEIVE || hccl_type == HVDCALLBACKALLGATHER) { | |||
| @@ -366,8 +364,8 @@ Status HcclTaskInfo::SetWorkspace(const std::shared_ptr<OpDesc> &op_desc, | |||
| workspace_addr = reinterpret_cast<void *>(reinterpret_cast<uint64_t *>(args_) + op_desc->GetInputsSize() + | |||
| op_desc->GetOutputsSize()); | |||
| } else { | |||
| workspace_data_addrs_ = ModelUtils::GetWorkspaceDataAddrs(davinci_model_->GetRuntimeParam(), op_desc); | |||
| workspace_addr = workspace_data_addrs_.empty() ? nullptr : workspace_data_addrs_[0]; | |||
| const auto workspace_data_addrs = ModelUtils::GetWorkspaceDataAddrs(davinci_model_->GetRuntimeParam(), op_desc); | |||
| workspace_addr = workspace_data_addrs.empty() ? nullptr : workspace_data_addrs[0]; | |||
| } | |||
| } | |||
| } | |||
| @@ -76,9 +76,7 @@ class HcclTaskInfo : public TaskInfo { | |||
| uint32_t private_def_len_; | |||
| static std::mutex hccl_follow_stream_mutex_; | |||
| vector<GETaskKernelHcclInfo> kernel_hccl_infos_; | |||
| vector<void *> input_data_addrs_; | |||
| vector<void *> output_data_addrs_; | |||
| vector<void *> workspace_data_addrs_; | |||
| vector<void *> io_addrs_; | |||
| OpDescPtr op_desc_; | |||
| void *args_; | |||
| uint32_t args_offset_; | |||
| @@ -128,7 +128,7 @@ Status KernelExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davin | |||
| return RT_ERROR_TO_GE_STATUS(rt_ret);) | |||
| GELOGI("KernelExTaskInfo knonw node Init Success."); | |||
| return SUCCESS; | |||
| return SetIoAddr(op_desc); | |||
| } | |||
| // 3. Set workspaceaddr, inputOutputDataAddr | |||
| @@ -192,7 +192,7 @@ Status KernelExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davin | |||
| davinci_model_->SetZeroCopyAddr(op_desc, io_addrs, io_addrs.data(), input_output_addr_, addrs_size, 0); | |||
| GELOGI("KernelExTaskInfo Init Success. session id: %lu", session_id); | |||
| return SUCCESS; | |||
| return SetIoAddr(op_desc); | |||
| } | |||
| Status KernelExTaskInfo::CalculateArgs(const domi::TaskDef &task_def, DavinciModel *davinci_model) { | |||
| @@ -258,8 +258,10 @@ Status KernelExTaskInfo::SetIoAddr(const OpDescPtr &op_desc) { | |||
| } | |||
| } | |||
| } | |||
| return SUCCESS; | |||
| } | |||
| Status KernelExTaskInfo::UpdateArgs() { | |||
| GELOGI("KernelExTaskInfo::UpdateArgs in."); | |||
| davinci_model_->SetTotalIOAddrs(io_addrs_); | |||
| @@ -146,7 +146,7 @@ Status KernelTaskInfo::SaveSKTDumpInfo() { | |||
| return SUCCESS; | |||
| } | |||
| // all op in super kernel share one taskid and streamid | |||
| const SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); | |||
| const SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo(); | |||
| 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]); | |||
| @@ -163,7 +163,7 @@ void KernelTaskInfo::UpdateSKTTaskId() { | |||
| GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret); | |||
| return; | |||
| } | |||
| SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); | |||
| SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo(); | |||
| skt_info.last_task_id = task_id; | |||
| skt_info.last_stream_id = stream_id; | |||
| skt_id_ = skt_info.last_task_id; | |||
| @@ -191,7 +191,7 @@ Status KernelTaskInfo::SKTFinalize() { | |||
| UpdateSKTTaskId(); | |||
| GE_CHK_STATUS_RET(SaveSKTDumpInfo(), "skt save dump info failed"); | |||
| GELOGI("SuperKernel Distribute [skt_id:%u]", skt_id_); | |||
| SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); | |||
| SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo(); | |||
| skt_info.kernel_list.clear(); | |||
| skt_info.arg_list.clear(); | |||
| skt_info.dump_flag_list.clear(); | |||
| @@ -208,7 +208,7 @@ Status KernelTaskInfo::SKTFinalize() { | |||
| } | |||
| uint32_t KernelTaskInfo::GetDumpFlag() { | |||
| const SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); | |||
| const SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo(); | |||
| for (auto flag : skt_info.dump_flag_list) { | |||
| if (flag == RT_KERNEL_DUMPFLAG) { | |||
| return RT_KERNEL_DUMPFLAG; | |||
| @@ -218,7 +218,7 @@ uint32_t KernelTaskInfo::GetDumpFlag() { | |||
| } | |||
| Status KernelTaskInfo::SuperKernelLaunch() { | |||
| SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); | |||
| SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo(); | |||
| if (skt_info.kernel_list.empty()) { | |||
| GELOGI("SuperKernelLaunch: Skt_kernel_list has no task, just return"); | |||
| return SUCCESS; | |||
| @@ -272,7 +272,7 @@ Status KernelTaskInfo::SuperKernelLaunch() { | |||
| } | |||
| Status KernelTaskInfo::SaveSuperKernelInfo() { | |||
| SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); | |||
| SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo(); | |||
| skt_info.kernel_list.push_back(stub_func_); | |||
| skt_info.arg_list.push_back(args_); | |||
| skt_info.last_stream = stream_; | |||
| @@ -328,7 +328,7 @@ bool KernelTaskInfo::IsMarkedFirstNode() { | |||
| // then may be saved to skt task list; else | |||
| // call skt launch those saved tasks before | |||
| bool KernelTaskInfo::FirstCallSKTLaunchCheck() { | |||
| const SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); | |||
| const SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo(); | |||
| return ((block_dim_ != skt_info.last_block_dim) || (stream_ != skt_info.last_stream) || | |||
| (has_group_key_ && (group_key_ != skt_info.last_group_key))); | |||
| } | |||
| @@ -397,7 +397,7 @@ Status KernelTaskInfo::Distribute() { | |||
| call_save_dump_ = true; | |||
| } else { | |||
| /* default: not skt launch */ | |||
| const SuperKernelTaskInfo &skt_info = davinci_model_->GetSupperKernelTaskInfo(); | |||
| const SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo(); | |||
| GELOGD( | |||
| "KernelTaskInfo Distribute Start, sktenable:%d taskid:%u sktid:%u last_sktid:%u stubfunc_name:%s " | |||
| "stubfunc:%p blockdim:%u stream:%p", | |||
| @@ -803,7 +803,6 @@ Status KernelTaskInfo::InitCceTask(const domi::KernelDef &kernel_def) { | |||
| GELOGE(FAILED, "flowtable is null."); | |||
| return FAILED; | |||
| } | |||
| flowtable_size_ = flowtable.size(); | |||
| } | |||
| // get smDesc stored in model | |||
| @@ -899,8 +898,8 @@ Status KernelTaskInfo::InitAicpuTask(uint32_t op_index, const domi::KernelDef &k | |||
| GELOGE(init_ret, "Init aicpu task ext info failed, ext_info size=%zu", ext_info.size()); | |||
| return init_ret; | |||
| } | |||
| GELOGI("Node[%s] type[%s] kernel_ext_info size=%zu, aicpu_ext_info_addr_=%p", op_desc_->GetName().c_str(), | |||
| op_desc_->GetType().c_str(), ext_info.size(), aicpu_ext_info_addr_); | |||
| GELOGI("Node[%s] type[%s] kernel_ext_info size=%zu, aicpu_ext_info_addr_=%p", op_desc->GetName().c_str(), | |||
| op_desc->GetType().c_str(), ext_info.size(), aicpu_ext_info_addr_); | |||
| aicpu_param_head->extInfoAddr = reinterpret_cast<uintptr_t>(aicpu_ext_info_addr_); | |||
| aicpu_param_head->extInfoLength = static_cast<uintptr_t>(ext_info.size()); | |||
| @@ -38,7 +38,6 @@ class KernelTaskInfo : public TaskInfo { | |||
| flowtable_(nullptr), | |||
| block_dim_(0), | |||
| args_size_(0), | |||
| flowtable_size_(0), | |||
| task_id_(0), | |||
| stream_id_(0), | |||
| so_name_(""), | |||
| @@ -46,7 +45,6 @@ class KernelTaskInfo : public TaskInfo { | |||
| kernel_type_(ccKernelType::CCE_AI_CORE), | |||
| dump_flag_(RT_KERNEL_DEFAULT), | |||
| dump_args_(nullptr), | |||
| op_desc_(nullptr), | |||
| davinci_model_(nullptr), | |||
| skt_id_(0), | |||
| stub_func_name_(""), | |||
| @@ -149,7 +147,6 @@ class KernelTaskInfo : public TaskInfo { | |||
| void *flowtable_; | |||
| uint32_t block_dim_; | |||
| uint32_t args_size_; | |||
| uint32_t flowtable_size_; | |||
| uint32_t task_id_; | |||
| uint32_t stream_id_; | |||
| std::string so_name_; | |||
| @@ -35,7 +35,6 @@ Status MemcpyAsyncTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *da | |||
| 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()); | |||
| return INTERNAL_ERROR; | |||