Merge pull request !4610 from gukecai/reverttags/v0.7.0-beta
| @@ -1163,31 +1163,5 @@ bool AnfRuntimeAlgorithm::IsCondControlKernel(const CNodePtr &node) { | |||
| auto input = node->input(kAnfPrimitiveIndex); | |||
| return IsPrimitive(input, prim::kPrimLabelGoto) || IsPrimitive(input, prim::kPrimLabelSwitch); | |||
| } | |||
| bool AnfRuntimeAlgorithm::IsIndependentNode(const CNodePtr &node) { | |||
| MS_EXCEPTION_IF_NULL(node); | |||
| if (AnfAlgo::GetKernelType(node) != AICPU_KERNEL) { | |||
| return false; | |||
| } | |||
| if (AnfAlgo::GetCNodeName(node) == kGetNextOpName) { | |||
| MS_LOG(INFO) << "GetNext should not be independent node"; | |||
| return false; | |||
| } | |||
| uint32_t input_nums = AnfAlgo::GetInputTensorNum(node); | |||
| if (input_nums == 0) { | |||
| return true; | |||
| } | |||
| auto inputs = node->inputs(); | |||
| for (size_t i = 1; i < inputs.size(); i++) { | |||
| if (!inputs[i]->isa<ValueNode>()) { | |||
| return false; | |||
| } | |||
| } | |||
| return true; | |||
| } | |||
| } // namespace session | |||
| } // namespace mindspore | |||
| @@ -212,7 +212,6 @@ class AnfRuntimeAlgorithm { | |||
| // get fix output precision from prev node, input_idx is the input index of current node related to prev node. | |||
| static TypeId GetPrevNodeOutputPrecision(const AnfNodePtr &node, size_t input_idx); | |||
| static bool IsCondControlKernel(const CNodePtr &node); | |||
| static bool IsIndependentNode(const CNodePtr &node); | |||
| }; | |||
| } // namespace session | |||
| using AnfAlgo = session::AnfRuntimeAlgorithm; | |||
| @@ -180,32 +180,20 @@ size_t LoadCtrlInputTensor(const std::shared_ptr<KernelGraph> &graph, std::vecto | |||
| if (inputs_params == nullptr) { | |||
| return 0; | |||
| } | |||
| if (inputs_params->size() < 3) { | |||
| if (inputs_params->size() < 2) { | |||
| MS_LOG(EXCEPTION) << "Illegal inputs_params size"; | |||
| } | |||
| // update current loop tensor to 0 per iterator | |||
| auto cur_loop_tensor = (*inputs_params)[0]; | |||
| MS_EXCEPTION_IF_NULL(cur_loop_tensor); | |||
| auto *cur_val = static_cast<int32_t *>(cur_loop_tensor->data_c()); | |||
| MS_EXCEPTION_IF_NULL(cur_val); | |||
| *cur_val = 0; | |||
| cur_loop_tensor->set_dirty(true); | |||
| auto tensor = (*inputs_params)[0]; | |||
| MS_EXCEPTION_IF_NULL(tensor); | |||
| auto *val = static_cast<int32_t *>(tensor->data_c()); | |||
| MS_EXCEPTION_IF_NULL(val); | |||
| *val = 0; | |||
| tensor->set_dirty(true); | |||
| // set loop_count to zero | |||
| MS_EXCEPTION_IF_NULL(inputs); | |||
| inputs->push_back(cur_loop_tensor); | |||
| inputs->push_back(tensor); | |||
| // update next loop tensor to 0 per iterator | |||
| auto next_loop_tensor = (*inputs_params)[1]; | |||
| MS_EXCEPTION_IF_NULL(next_loop_tensor); | |||
| auto *next_val = static_cast<int32_t *>(next_loop_tensor->data_c()); | |||
| MS_EXCEPTION_IF_NULL(next_val); | |||
| *next_val = 0; | |||
| next_loop_tensor->set_dirty(true); | |||
| // set loop_count to zero | |||
| MS_EXCEPTION_IF_NULL(inputs); | |||
| inputs->push_back(next_loop_tensor); | |||
| auto epoch_tensor = (*inputs_params)[2]; | |||
| auto epoch_tensor = (*inputs_params)[1]; | |||
| MS_EXCEPTION_IF_NULL(epoch_tensor); | |||
| auto *epoch_val = static_cast<int32_t *>(epoch_tensor->data_c()); | |||
| MS_EXCEPTION_IF_NULL(epoch_val); | |||
| @@ -942,7 +930,7 @@ bool TensorNeedSync(const AnfNodePtr ¶meter, const tensor::TensorPtr &tensor | |||
| void SessionBasic::LoadInputData(const std::shared_ptr<KernelGraph> &kernel_graph, | |||
| const std::vector<tensor::TensorPtr> &inputs_const) const { | |||
| std::vector<tensor::TensorPtr> inputs(inputs_const); | |||
| size_t input_ctrl_size = 3; | |||
| size_t input_ctrl_size = 2; | |||
| MS_EXCEPTION_IF_NULL(kernel_graph); | |||
| if (kernel_graph->input_ctrl_tensors()) { | |||
| input_ctrl_size = LoadCtrlInputTensor(kernel_graph, &inputs); | |||
| @@ -952,7 +940,7 @@ void SessionBasic::LoadInputData(const std::shared_ptr<KernelGraph> &kernel_grap | |||
| auto params = AnfAlgo::GetAllOutput(input_node); | |||
| std::copy(params.begin(), params.end(), std::back_inserter(input_nodes)); | |||
| } | |||
| if ((inputs.size() + input_ctrl_size) - 3 != input_nodes.size()) { | |||
| if ((inputs.size() + input_ctrl_size) - 2 != input_nodes.size()) { | |||
| MS_LOG(EXCEPTION) << "Tensor input:" << inputs.size() << " is not equal graph inputs:" << input_nodes.size() | |||
| << ", input_ctrl_size:" << input_ctrl_size; | |||
| } | |||
| @@ -42,9 +42,6 @@ void AscendStreamAssign::AssignStream(const NotNull<KernelGraphPtr> &graph_ptr) | |||
| InsertStreamActive(graph_ptr); | |||
| InsertEventForHcomParallel(graph_ptr); | |||
| InsertEventForIndependentParallel(graph_ptr); | |||
| GetIndependentMaxTarget(graph_ptr); | |||
| InsertCtrlForIndependentParallel(graph_ptr); | |||
| GetNeedActiveStreams(graph_ptr); | |||
| graph_ptr->PrintGraphExecuteOrder(); | |||
| CheckResourceAssign(graph_ptr); | |||
| @@ -69,7 +66,7 @@ void AscendStreamAssign::ReorderIndependentOrders(const NotNull<KernelGraphPtr> | |||
| for (size_t i = 0; i < cnode_ptr_list.size(); ++i) { | |||
| auto cur_cnode_ptr = cnode_ptr_list[i]; | |||
| MS_EXCEPTION_IF_NULL(cur_cnode_ptr); | |||
| if (AnfAlgo::IsIndependentNode(cur_cnode_ptr)) { | |||
| if (IsIndependentNode(cur_cnode_ptr)) { | |||
| independents.emplace_back(cur_cnode_ptr); | |||
| } else { | |||
| others.emplace_back(cur_cnode_ptr); | |||
| @@ -136,7 +133,7 @@ void AscendStreamAssign::AssignAllNodesStream(const NotNull<KernelGraphPtr> &gra | |||
| continue; | |||
| } | |||
| if (AnfAlgo::IsIndependentNode(cur_cnode_ptr)) { | |||
| if (IsIndependentNode(cur_cnode_ptr)) { | |||
| exit_independent = true; | |||
| continue; | |||
| } | |||
| @@ -168,7 +165,7 @@ void AscendStreamAssign::AssignAllNodesStream(const NotNull<KernelGraphPtr> &gra | |||
| if (AnfAlgo::GetStreamId(cur_cnode_ptr) != kInvalidStreamId) { | |||
| continue; | |||
| } | |||
| if (AnfAlgo::IsIndependentNode(cur_cnode_ptr)) { | |||
| if (IsIndependentNode(cur_cnode_ptr)) { | |||
| AssignIndependentStreamId(cur_cnode_ptr); | |||
| } | |||
| } | |||
| @@ -245,6 +242,33 @@ void AscendStreamAssign::AssignIndependentStreamId(const CNodePtr &cur_cnode_ptr | |||
| } | |||
| } | |||
| bool AscendStreamAssign::IsIndependentNode(const CNodePtr &node_ptr) { | |||
| MS_EXCEPTION_IF_NULL(node_ptr); | |||
| if (AnfAlgo::GetKernelType(node_ptr) != AICPU_KERNEL) { | |||
| return false; | |||
| } | |||
| if (AnfAlgo::GetCNodeName(node_ptr) == kGetNextOpName) { | |||
| MS_LOG(INFO) << "GetNext should not be independent node"; | |||
| return false; | |||
| } | |||
| uint32_t input_nums = AnfAlgo::GetInputTensorNum(node_ptr); | |||
| if (input_nums == 0) { | |||
| MS_LOG(INFO) << "Node " << node_ptr->fullname_with_scope() << " is independent, as inputs nums is zero"; | |||
| return true; | |||
| } | |||
| auto inputs = node_ptr->inputs(); | |||
| for (size_t i = 1; i < inputs.size(); i++) { | |||
| if (!inputs[i]->isa<ValueNode>()) { | |||
| return false; | |||
| } | |||
| } | |||
| MS_LOG(INFO) << "Node " << node_ptr->fullname_with_scope() << " is independent, as inputs is all value node"; | |||
| return true; | |||
| } | |||
| // section 3: | |||
| void AscendStreamAssign::UpdateAtomicAddrCleanStreamId(const NotNull<KernelGraphPtr> &graph_ptr) { | |||
| MS_LOG(INFO) << "Start"; | |||
| @@ -269,11 +293,13 @@ void AscendStreamAssign::InsertStreamActive(const NotNull<KernelGraphPtr> &graph | |||
| CNodePtr pre_cnode_ptr = nullptr; | |||
| uint32_t pre_stream_id = UINT32_MAX; | |||
| bool independent_flag = !(independent_stream_map_.empty()); | |||
| bool hcom_flag = !(hcom_stream_map_.empty()); | |||
| auto cnode_ptr_list = graph_ptr->execution_order(); | |||
| for (size_t i = 0; i < cnode_ptr_list.size(); ++i) { | |||
| cur_cnode_ptr = cnode_ptr_list[i]; | |||
| MS_EXCEPTION_IF_NULL(cur_cnode_ptr); | |||
| if (AnfAlgo::IsIndependentNode(cur_cnode_ptr)) { | |||
| if (IsIndependentNode(cur_cnode_ptr)) { | |||
| update_cnode_list.emplace_back(cur_cnode_ptr); | |||
| continue; | |||
| } | |||
| @@ -296,7 +322,7 @@ void AscendStreamAssign::InsertStreamActive(const NotNull<KernelGraphPtr> &graph | |||
| update_cnode_list.emplace_back(active_ptr); | |||
| } | |||
| if (AnfAlgo::GetCNodeName(cur_cnode_ptr) == kStreamSwitchOpName) { | |||
| if ((independent_flag || hcom_flag) && (AnfAlgo::GetCNodeName(cur_cnode_ptr) == kStreamSwitchOpName)) { | |||
| MS_LOG(INFO) << "Insert StreamActive op after FP StreamSwitch for stream parallel"; | |||
| UpdateStreamSwitch(graph_ptr, cur_cnode_ptr, &update_cnode_list); | |||
| } else { | |||
| @@ -320,10 +346,8 @@ void AscendStreamAssign::GetProcessedStream(const NotNull<KernelGraphPtr> &graph | |||
| uint32_t cur_stream_id = AnfAlgo::GetStreamId(cur_cnode_ptr); | |||
| if (AnfAlgo::GetCNodeName(cur_cnode_ptr) == kStreamSwitchOpName) { | |||
| if (AnfAlgo::HasNodeAttr(kAttrTrueBranchStream, cur_cnode_ptr)) { | |||
| auto true_stream_id = AnfAlgo::GetNodeAttr<uint32_t>(cur_cnode_ptr, kAttrTrueBranchStream); | |||
| processed_streams_.emplace(true_stream_id); | |||
| } | |||
| auto true_stream_id = AnfAlgo::GetNodeAttr<uint32_t>(cur_cnode_ptr, kAttrTrueBranchStream); | |||
| processed_streams_.emplace(true_stream_id); | |||
| if (!AnfAlgo::HasNodeAttr(kStreamNeedActivedFirst, cur_cnode_ptr)) { | |||
| continue; | |||
| @@ -341,78 +365,46 @@ void AscendStreamAssign::GetProcessedStream(const NotNull<KernelGraphPtr> &graph | |||
| void AscendStreamAssign::UpdateStreamSwitch(const NotNull<KernelGraphPtr> &graph_ptr, const CNodePtr &switch_ptr, | |||
| vector<CNodePtr> *orders) { | |||
| orders->emplace_back(switch_ptr); | |||
| if (!AnfAlgo::HasNodeAttr(kStreamNeedActivedFirst, switch_ptr)) { | |||
| orders->emplace_back(switch_ptr); | |||
| return; | |||
| } | |||
| auto need_active = AnfAlgo::GetNodeAttr<bool>(switch_ptr, kStreamNeedActivedFirst); | |||
| if (!need_active) { | |||
| orders->emplace_back(switch_ptr); | |||
| return; | |||
| } | |||
| if (!AnfAlgo::HasNodeAttr(kAttrStreamSwitchKind, switch_ptr)) { | |||
| orders->emplace_back(switch_ptr); | |||
| return; | |||
| MS_EXCEPTION_IF_NULL(switch_ptr); | |||
| auto true_stream_id = AnfAlgo::GetNodeAttr<uint32_t>(switch_ptr, kAttrTrueBranchStream); | |||
| MS_LOG(INFO) << "Streamswtich stream id:" << AnfAlgo::GetStreamId(switch_ptr) | |||
| << "; active stream id:" << true_stream_id; | |||
| CNodePtr active_ptr = KernelAdjust::GetInstance().CreateStreamActiveOp(graph_ptr); | |||
| AnfAlgo::SetStreamId(true_stream_id, active_ptr.get()); | |||
| vector<uint32_t> active_ids; | |||
| // active indepdent stream | |||
| for (const auto &item : independent_stream_map_) { | |||
| active_ids.emplace_back(item.first); | |||
| } | |||
| auto kind = AnfAlgo::GetNodeAttr<uint32_t>(switch_ptr, kAttrStreamSwitchKind); | |||
| if (kind == kEosStreamSwitch || kind == kGetNextStreamSwitch) { | |||
| orders->emplace_back(switch_ptr); | |||
| return; | |||
| // active hcom stream | |||
| for (const auto &item : hcom_stream_map_) { | |||
| active_ids.emplace_back(item.first); | |||
| } | |||
| AnfAlgo::SetNodeAttr(kAttrActiveStreamList, MakeValue<std::vector<uint32_t>>(active_ids), active_ptr); | |||
| if (kind == kIndependentStreamSwitch) { | |||
| bool independent_empty = independent_stream_map_.empty(); | |||
| // if indepdent empty: delete independent streamswitch | |||
| if (!independent_empty) { | |||
| for (const auto &item : independent_stream_map_) { | |||
| // first independetn stream id is minimum and order by std map; | |||
| auto first_independent_stream = item.first; | |||
| AnfAlgo::SetNodeAttr(kAttrTrueBranchStream, MakeValue<uint32_t>(first_independent_stream), switch_ptr); | |||
| orders->emplace_back(switch_ptr); | |||
| break; | |||
| } | |||
| } else { | |||
| MS_LOG(ERROR) << "independent stream switch exit, but independent stream is empty"; | |||
| } | |||
| // update processed stream | |||
| independent_stream_activated_ = true; | |||
| for (const auto &item : independent_stream_map_) { | |||
| processed_streams_.emplace(item.first); | |||
| } | |||
| return; | |||
| // update processed stream | |||
| independent_stream_activated_ = true; | |||
| for (const auto &item : independent_stream_map_) { | |||
| processed_streams_.emplace(item.first); | |||
| } | |||
| if (kind == kFpBpStreamSwitch) { | |||
| bool hcom_empty = hcom_stream_map_.empty(); | |||
| if (hcom_empty) { | |||
| orders->emplace_back(switch_ptr); | |||
| return; | |||
| } | |||
| if (!AnfAlgo::HasNodeAttr(kAttrTrueBranchStream, switch_ptr)) { | |||
| orders->emplace_back(switch_ptr); | |||
| MS_LOG(WARNING) << "FpBp StreamSwitch has no true branch attr"; | |||
| return; | |||
| } | |||
| auto true_stream_id = AnfAlgo::GetNodeAttr<uint32_t>(switch_ptr, kAttrTrueBranchStream); | |||
| MS_LOG(INFO) << "Streamswtich stream id:" << AnfAlgo::GetStreamId(switch_ptr) | |||
| << "; active stream id:" << true_stream_id; | |||
| CNodePtr active_ptr = KernelAdjust::GetInstance().CreateStreamActiveOp(graph_ptr); | |||
| AnfAlgo::SetStreamId(true_stream_id, active_ptr.get()); | |||
| vector<uint32_t> active_ids; | |||
| // active hcom stream | |||
| for (const auto &item : hcom_stream_map_) { | |||
| active_ids.emplace_back(item.first); | |||
| } | |||
| AnfAlgo::SetNodeAttr(kAttrActiveStreamList, MakeValue<std::vector<uint32_t>>(active_ids), active_ptr); | |||
| hcom_stream_activated_ = true; | |||
| for (const auto &item : hcom_stream_map_) { | |||
| processed_streams_.emplace(item.first); | |||
| } | |||
| orders->emplace_back(switch_ptr); | |||
| orders->emplace_back(active_ptr); | |||
| hcom_stream_activated_ = true; | |||
| for (const auto &item : hcom_stream_map_) { | |||
| processed_streams_.emplace(item.first); | |||
| } | |||
| orders->emplace_back(active_ptr); | |||
| } | |||
| bool AscendStreamAssign::IsProcessedStream(uint32_t stream_id) { | |||
| @@ -640,7 +632,7 @@ void AscendStreamAssign::InsertEventForIndependentParallel(const NotNull<KernelG | |||
| auto it = cnodes.begin(); | |||
| while (it != cnodes.end()) { | |||
| MS_EXCEPTION_IF_NULL(*it); | |||
| if (AnfAlgo::IsIndependentNode(*it)) { | |||
| if (IsIndependentNode(*it)) { | |||
| MS_LOG(INFO) << "Deal independent op[" << (*it)->DebugString() << "]"; | |||
| CNodePtr send_cnode_ptr = CreateSendApplyKernel(graph_ptr, cur_event_id, AnfAlgo::GetStreamId(*it)); | |||
| it = cnodes.insert(it + 1, send_cnode_ptr); | |||
| @@ -668,129 +660,6 @@ void AscendStreamAssign::InsertEventForIndependentParallel(const NotNull<KernelG | |||
| MS_LOG(INFO) << "End"; | |||
| } | |||
| void AscendStreamAssign::GetIndependentMaxTarget(const NotNull<KernelGraphPtr> &graph_ptr) { | |||
| MS_LOG(INFO) << "Start"; | |||
| auto cnode_ptr_list = graph_ptr->execution_order(); | |||
| for (size_t i = 0; i < cnode_ptr_list.size(); i++) { | |||
| auto cur_node = cnode_ptr_list[i]; | |||
| auto key = cur_node.get(); | |||
| if (!AnfAlgo::IsIndependentNode(cur_node)) { | |||
| continue; | |||
| } | |||
| bool flag = false; | |||
| for (size_t j = cnode_ptr_list.size() - 1; j > i; j--) { | |||
| auto target_node = cnode_ptr_list[j]; | |||
| auto inputs = target_node->inputs(); | |||
| for (size_t m = 1; m < inputs.size(); m++) { | |||
| auto input = inputs[m]; | |||
| if (opt::IsNopNode(input)) { | |||
| CNodePtr cnode = input->cast<CNodePtr>(); | |||
| auto new_inputs = cnode->inputs(); | |||
| for (size_t k = 1; k < new_inputs.size(); k++) { | |||
| auto new_real_input = AnfAlgo::VisitKernel(new_inputs[k], 0); | |||
| if (key == new_real_input.first.get()) { | |||
| MS_LOG(INFO) << "Nop node find max target op:" << AnfAlgo::GetCNodeName(cur_node); | |||
| independent_targets_.emplace(target_node.get()); | |||
| flag = true; | |||
| break; | |||
| } | |||
| } | |||
| } else { | |||
| auto real_input = AnfAlgo::VisitKernel(input, 0); | |||
| if (key == real_input.first.get()) { | |||
| MS_LOG(INFO) << "Find max target op:" << AnfAlgo::GetCNodeName(cur_node); | |||
| independent_targets_.emplace(target_node.get()); | |||
| flag = true; | |||
| } | |||
| } | |||
| if (flag) { | |||
| break; | |||
| } | |||
| } | |||
| } | |||
| } | |||
| MS_LOG(INFO) << "End"; | |||
| } | |||
| uint32_t AscendStreamAssign::GetIndexByKey(const NotNull<KernelGraphPtr> &graph_ptr, const CNodeKey &key) { | |||
| auto &exe_orders = graph_ptr->execution_order(); | |||
| for (uint32_t i = 0; i < exe_orders.size(); i++) { | |||
| CNodeKey node_key = exe_orders[i].get(); | |||
| if (node_key == key) { | |||
| return i; | |||
| } | |||
| } | |||
| return UINT32_MAX; | |||
| } | |||
| uint32_t AscendStreamAssign::GetMaxIndexTarget(const NotNull<KernelGraphPtr> &graph_ptr) { | |||
| if (independent_targets_.empty()) { | |||
| return UINT32_MAX; | |||
| } | |||
| std::set<uint32_t> indexs; | |||
| for (const auto &key : independent_targets_) { | |||
| auto index = GetIndexByKey(graph_ptr, key); | |||
| if (index == UINT32_MAX) { | |||
| MS_LOG(EXCEPTION) << "graph has no correspond key"; | |||
| } | |||
| indexs.emplace(index); | |||
| } | |||
| return *(std::max_element(indexs.begin(), indexs.end())); | |||
| } | |||
| uint32_t AscendStreamAssign::GetIndependentStreamSwitchStreamId(const NotNull<KernelGraphPtr> &graph_ptr) { | |||
| auto &exe_orders = graph_ptr->execution_order(); | |||
| for (const auto &item : exe_orders) { | |||
| if (AnfAlgo::GetCNodeName(item) == kStreamSwitchOpName) { | |||
| if (!AnfAlgo::HasNodeAttr(kAttrStreamSwitchKind, item)) { | |||
| continue; | |||
| } | |||
| auto kind = AnfAlgo::GetNodeAttr<uint32_t>(item, kAttrStreamSwitchKind); | |||
| if (kind == kIndependentStreamSwitch) { | |||
| return AnfAlgo::GetStreamId(item); | |||
| } | |||
| } | |||
| } | |||
| return kInvalidStreamId; | |||
| } | |||
| void AscendStreamAssign::InsertCtrlForIndependentParallel(const NotNull<KernelGraphPtr> &graph_ptr) { | |||
| if (independent_targets_.empty()) { | |||
| return; | |||
| } | |||
| uint32_t independent_switch_stream = GetIndependentStreamSwitchStreamId(graph_ptr); | |||
| if (independent_switch_stream == kInvalidStreamId) { | |||
| return; | |||
| } | |||
| auto max_index = GetMaxIndexTarget(graph_ptr); | |||
| auto &exe_orders = graph_ptr->execution_order(); | |||
| if (max_index >= exe_orders.size()) { | |||
| MS_LOG(EXCEPTION) << "max target index:" << max_index << " is greater than graph orders size:" << exe_orders.size(); | |||
| } | |||
| auto max_node_stream = AnfAlgo::GetStreamId(exe_orders[max_index]); | |||
| CNodePtr active_ptr = KernelAdjust::GetInstance().CreateStreamActiveOp(graph_ptr); | |||
| // 1.set stream id | |||
| AnfAlgo::SetStreamId(max_node_stream, active_ptr.get()); | |||
| // 2.set active stream ids | |||
| std::vector<uint32_t> active_index_list{independent_switch_stream}; | |||
| AnfAlgo::SetNodeAttr(kAttrActiveStreamList, MakeValue<std::vector<uint32_t>>(active_index_list), active_ptr); | |||
| std::vector<CNodePtr> update_cnode_list; | |||
| std::copy(exe_orders.begin(), exe_orders.begin() + max_index + 1, std::back_inserter(update_cnode_list)); | |||
| update_cnode_list.emplace_back(active_ptr); | |||
| std::copy(exe_orders.begin() + max_index + 1, exe_orders.end(), std::back_inserter(update_cnode_list)); | |||
| graph_ptr->set_execution_order(update_cnode_list); | |||
| } | |||
| // section7 | |||
| void AscendStreamAssign::GetNeedActiveStreams(const NotNull<KernelGraphPtr> &graph_ptr) { | |||
| CNodePtr cur_cnode_ptr = nullptr; | |||
| @@ -1048,7 +917,6 @@ void AscendStreamAssign::Reset() { | |||
| stream_groups_.clear(); | |||
| stream_relations_.clear(); | |||
| event_map_.clear(); | |||
| independent_targets_.clear(); | |||
| } | |||
| // section 10 | |||
| @@ -39,7 +39,6 @@ using std::shared_ptr; | |||
| using std::unordered_map; | |||
| using std::unordered_set; | |||
| using std::vector; | |||
| using CNodeKey = void *; | |||
| const uint32_t kInvalidStreamId = UINT32_MAX; | |||
| const uint32_t kInvalidEventId = UINT32_MAX; | |||
| class AscendResourceMng { | |||
| @@ -109,6 +108,8 @@ class AscendStreamAssign { | |||
| void AssignStream(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| void GetHcomStreams(std::vector<uint32_t> *streams); | |||
| void GetWaitStreams(vector<uint32_t> *wait_active_stream_list); | |||
| CNodePtr CreateSendApplyKernel(const NotNull<KernelGraphPtr> &graph_ptr, uint32_t event_id, uint32_t stream_id); | |||
| CNodePtr CreateRecvApplyKernel(const NotNull<KernelGraphPtr> &graph_ptr, uint32_t event_id, uint32_t stream_id); | |||
| const std::vector<std::vector<uint32_t>> &get_stream_group() const { return stream_groups_; } | |||
| const std::map<CNodePtr, CNodePtr> &get_event_map() const { return event_map_; } | |||
| @@ -116,8 +117,6 @@ class AscendStreamAssign { | |||
| AscendStreamAssign() = default; | |||
| ~AscendStreamAssign() = default; | |||
| void Reset(); | |||
| CNodePtr CreateSendApplyKernel(const NotNull<KernelGraphPtr> &graph_ptr, uint32_t event_id, uint32_t stream_id); | |||
| CNodePtr CreateRecvApplyKernel(const NotNull<KernelGraphPtr> &graph_ptr, uint32_t event_id, uint32_t stream_id); | |||
| void CheckResourceAssign(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| void CheckStreamAssign(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| void CheckEventAssign(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| @@ -131,7 +130,6 @@ class AscendStreamAssign { | |||
| void UpdateStreamSwitch(const NotNull<KernelGraphPtr> &graph_ptr, const CNodePtr &switch_ptr, | |||
| vector<CNodePtr> *orders); | |||
| void InsertEventForIndependentParallel(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| void InsertCtrlForIndependentParallel(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| void InsertEventForHcomParallel(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| void InsertEventCommonDependHcom(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| void InsertEventHcomDependCommon(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| @@ -143,10 +141,6 @@ class AscendStreamAssign { | |||
| void GetProcessedStream(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| void GetNeedActiveStreams(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| void ReorderIndependentOrders(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| uint32_t GetMaxIndexTarget(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| uint32_t GetIndexByKey(const NotNull<KernelGraphPtr> &graph_ptr, const CNodeKey &key); | |||
| uint32_t GetIndependentStreamSwitchStreamId(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| void GetIndependentMaxTarget(const NotNull<KernelGraphPtr> &graph_ptr); | |||
| bool IsTaskSink(); | |||
| bool IsHcom(const CNodePtr &cur_cnode_ptr); | |||
| @@ -177,7 +171,6 @@ class AscendStreamAssign { | |||
| std::map<uint32_t, uint32_t> common_stream_map_{}; | |||
| std::set<uint32_t> processed_streams_{}; | |||
| std::vector<uint32_t> need_first_active_streams_{}; | |||
| std::set<CNodeKey> independent_targets_; | |||
| // attr for memory copy reuse | |||
| std::map<uint32_t, std::vector<uint32_t>> stream_relations_{}; | |||
| @@ -34,8 +34,8 @@ static constexpr uint32_t kTupleTaskId = 0; | |||
| static constexpr uint32_t kTupleStreamId = 1; | |||
| static constexpr uint32_t kTupleArgs = 2; | |||
| static constexpr uint32_t kCurrentStepTensorIndex = 0; | |||
| static constexpr uint32_t kCurrentEpochTensorIndex = 2; | |||
| static constexpr uint32_t kStepsPerEpochTensorIndex = 3; | |||
| static constexpr uint32_t kCurrentEpochTensorIndex = 1; | |||
| static constexpr uint32_t kStepsPerEpochTensorIndex = 2; | |||
| static constexpr uint64_t kOpDebugShape = 2048; | |||
| static constexpr uint64_t kOpDebugHostMemSize = 2048; | |||
| static constexpr uint64_t kOpDebugDevMemSize = sizeof(void *); | |||
| @@ -106,19 +106,6 @@ CNodePtr KernelAdjust::CreateRecvApplyKernel(const std::shared_ptr<session::Kern | |||
| return recv_node_ptr; | |||
| } | |||
| bool KernelAdjust::ExitIndependent(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) { | |||
| MS_EXCEPTION_IF_NULL(kernel_graph_ptr); | |||
| const auto &exe_orders = kernel_graph_ptr->execution_order(); | |||
| for (const auto &node : exe_orders) { | |||
| if (AnfAlgo::IsIndependentNode(node)) { | |||
| MS_LOG(INFO) << "graph exit independent node"; | |||
| return true; | |||
| } | |||
| } | |||
| return false; | |||
| } | |||
| void KernelAdjust::InsertSwitchLoop(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) { | |||
| device::ascend::AscendResourceMng &resource_manager = device::ascend::AscendResourceMng::GetInstance(); | |||
| resource_manager.ResetResource(); | |||
| @@ -133,10 +120,10 @@ void KernelAdjust::InsertSwitchLoop(const std::shared_ptr<session::KernelGraph> | |||
| std::vector<AnfNodePtr> *mute_inputs = kernel_graph_ptr->MutableInputs(); | |||
| MS_EXCEPTION_IF_NULL(mute_inputs); | |||
| mute_inputs->push_back(switch_loop_input[kCurLoopCountParamName]); | |||
| mute_inputs->push_back(switch_loop_input[kNextLoopCountParamName]); | |||
| mute_inputs->push_back(switch_loop_input[kLoopCountParamName]); | |||
| mute_inputs->push_back(switch_loop_input[kEpochParamName]); | |||
| mute_inputs->push_back(switch_loop_input[kIterLoopParamName]); | |||
| mute_inputs->push_back(switch_loop_input[kZeroParamName]); | |||
| mute_inputs->push_back(switch_loop_input[kOneParamName]); | |||
| for (const auto &input : kernel_graph_ptr->inputs()) { | |||
| MS_EXCEPTION_IF_NULL(input); | |||
| @@ -161,7 +148,7 @@ void KernelAdjust::InsertSwitchLoop(const std::shared_ptr<session::KernelGraph> | |||
| // getnext loop process | |||
| // getnext loop stream switch op | |||
| CNodePtr getnext_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input, kGetNextStreamSwitch); | |||
| CNodePtr getnext_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input); | |||
| MS_EXCEPTION_IF_NULL(getnext_switch_app); | |||
| uint32_t getnext_switch_stream_id = resource_manager.ApplyNewStream(); | |||
| AnfAlgo::SetStreamId(getnext_switch_stream_id, getnext_switch_app.get()); | |||
| @@ -181,9 +168,7 @@ void KernelAdjust::InsertSwitchLoop(const std::shared_ptr<session::KernelGraph> | |||
| } | |||
| // update getnext loop stream switch true_branch_stream attr | |||
| AnfAlgo::SetNodeAttr(kStreamNeedActivedFirst, MakeValue<bool>(true), getnext_switch_app); | |||
| AnfAlgo::SetNodeAttr(kAttrTrueBranchStream, MakeValue<uint32_t>(getnext_stream_id), getnext_switch_app); | |||
| AnfAlgo::SetNodeAttr(kAttrStreamSwitchKind, MakeValue<uint32_t>(kGetNextStreamSwitch), getnext_switch_app); | |||
| // getnext loop fpbp start send | |||
| uint32_t fpbp_start_event_id = resource_manager.ApplyNewEvent(); | |||
| @@ -200,7 +185,7 @@ void KernelAdjust::InsertSwitchLoop(const std::shared_ptr<session::KernelGraph> | |||
| // End Of Sequence loop process | |||
| // eos loop stream switch | |||
| CNodePtr eos_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input, kEosStreamSwitch); | |||
| CNodePtr eos_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input); | |||
| MS_EXCEPTION_IF_NULL(eos_switch_app); | |||
| uint32_t eos_switch_stream_id = resource_manager.ApplyNewStream(); | |||
| AnfAlgo::SetStreamId(eos_switch_stream_id, eos_switch_app.get()); | |||
| @@ -215,7 +200,6 @@ void KernelAdjust::InsertSwitchLoop(const std::shared_ptr<session::KernelGraph> | |||
| // update eos loop stream switch true_branch_stream attr | |||
| AnfAlgo::SetNodeAttr(kAttrTrueBranchStream, MakeValue<uint32_t>(eos_stream_id), eos_switch_app); | |||
| AnfAlgo::SetNodeAttr(kAttrStreamSwitchKind, MakeValue<uint32_t>(kEosStreamSwitch), eos_switch_app); | |||
| // EndOfSequence op | |||
| CNodePtr end_of_sequence_op = CreateEndOfSequenceOP(kernel_graph_ptr, getnext_cnode); | |||
| @@ -233,27 +217,13 @@ void KernelAdjust::InsertSwitchLoop(const std::shared_ptr<session::KernelGraph> | |||
| fpbp_active_streams.push_back(eos_switch_stream_id); | |||
| } | |||
| bool exit_independent = ExitIndependent(kernel_graph_ptr); | |||
| if (exit_independent) { | |||
| // Independet parallel | |||
| CNodePtr independent_switch_app = | |||
| CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input, kIndependentStreamSwitch); | |||
| MS_EXCEPTION_IF_NULL(independent_switch_app); | |||
| uint32_t independent_switch_stream_id = resource_manager.ApplyNewStream(); | |||
| AnfAlgo::SetStreamId(independent_switch_stream_id, independent_switch_app.get()); | |||
| AnfAlgo::SetNodeAttr(kStreamNeedActivedFirst, MakeValue<bool>(true), independent_switch_app); | |||
| AnfAlgo::SetNodeAttr(kAttrStreamSwitchKind, MakeValue<uint32_t>(kIndependentStreamSwitch), independent_switch_app); | |||
| exec_order.push_back(independent_switch_app); | |||
| } | |||
| // fpbp loop process | |||
| // fpbp loop stream switch | |||
| CNodePtr fpbp_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input, kFpBpStreamSwitch); | |||
| CNodePtr fpbp_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input); | |||
| MS_EXCEPTION_IF_NULL(fpbp_switch_app); | |||
| uint32_t fpbp_switch_stream_id = resource_manager.ApplyNewStream(); | |||
| AnfAlgo::SetStreamId(fpbp_switch_stream_id, fpbp_switch_app.get()); | |||
| AnfAlgo::SetNodeAttr(kStreamNeedActivedFirst, MakeValue<bool>(true), fpbp_switch_app); | |||
| exec_order.push_back(fpbp_switch_app); | |||
| // fpbp loop fpbp start recv | |||
| @@ -264,9 +234,9 @@ void KernelAdjust::InsertSwitchLoop(const std::shared_ptr<session::KernelGraph> | |||
| // update fpbp loop stream switch true_branch_stream attr | |||
| AnfAlgo::SetNodeAttr(kAttrTrueBranchStream, MakeValue<uint32_t>(fpbp_stream_id), fpbp_switch_app); | |||
| AnfAlgo::SetNodeAttr(kAttrStreamSwitchKind, MakeValue<uint32_t>(kFpBpStreamSwitch), fpbp_switch_app); | |||
| // next loop AssignAdd | |||
| CNodePtr assign_add_one = CreateStreamAssignAddnOP(kernel_graph_ptr, switch_loop_input, false); | |||
| // fpbp loop AssignAdd | |||
| CNodePtr assign_add_one = CreateStreamAssignAddnOP(kernel_graph_ptr, switch_loop_input); | |||
| MS_EXCEPTION_IF_NULL(assign_add_one); | |||
| AnfAlgo::SetStreamId(fpbp_stream_id, assign_add_one.get()); | |||
| exec_order.push_back(assign_add_one); | |||
| @@ -304,11 +274,6 @@ void KernelAdjust::InsertSwitchLoop(const std::shared_ptr<session::KernelGraph> | |||
| // fpbp loop other ops | |||
| (void)std::copy(other_list.begin(), other_list.end(), std::back_inserter(exec_order)); | |||
| // current assign add op | |||
| CNodePtr cur_assign_add = CreateStreamAssignAddnOP(kernel_graph_ptr, switch_loop_input, true); | |||
| MS_EXCEPTION_IF_NULL(cur_assign_add); | |||
| exec_order.push_back(cur_assign_add); | |||
| // stream active to activate fpbp loop and eos loop | |||
| CNodePtr fpbp_active_app = CreateStreamActiveOp(kernel_graph_ptr); | |||
| MS_EXCEPTION_IF_NULL(fpbp_active_app); | |||
| @@ -331,19 +296,13 @@ void KernelAdjust::CreateSwitchOpParameters(const std::shared_ptr<session::Kerne | |||
| MS_LOG(EXCEPTION) << "create abstract before insert switch op failed!"; | |||
| } | |||
| ParameterPtr cur_loop_count = std::make_shared<Parameter>(kernel_graph_ptr); | |||
| MS_EXCEPTION_IF_NULL(cur_loop_count); | |||
| cur_loop_count->set_name(kCurLoopCountParamName); | |||
| cur_loop_count->set_abstract(paremeter_abstract_ptr); | |||
| ParameterPtr loop_count_cur = kernel_graph_ptr->NewParameter(cur_loop_count); | |||
| (*switch_loop_input)[kCurLoopCountParamName] = loop_count_cur; | |||
| ParameterPtr loop_count = std::make_shared<Parameter>(kernel_graph_ptr); | |||
| MS_EXCEPTION_IF_NULL(loop_count); | |||
| loop_count->set_name(kLoopCountParamName); | |||
| loop_count->set_abstract(paremeter_abstract_ptr); | |||
| ParameterPtr loop_count_new = kernel_graph_ptr->NewParameter(loop_count); | |||
| ParameterPtr next_loop_count = std::make_shared<Parameter>(kernel_graph_ptr); | |||
| MS_EXCEPTION_IF_NULL(next_loop_count); | |||
| next_loop_count->set_name(kNextLoopCountParamName); | |||
| next_loop_count->set_abstract(paremeter_abstract_ptr); | |||
| ParameterPtr loop_count_next = kernel_graph_ptr->NewParameter(next_loop_count); | |||
| (*switch_loop_input)[kNextLoopCountParamName] = loop_count_next; | |||
| (*switch_loop_input)[kLoopCountParamName] = loop_count_new; | |||
| ParameterPtr iter_loop = std::make_shared<Parameter>(kernel_graph_ptr); | |||
| iter_loop->set_name(kIterLoopParamName); | |||
| @@ -351,6 +310,12 @@ void KernelAdjust::CreateSwitchOpParameters(const std::shared_ptr<session::Kerne | |||
| ParameterPtr iter_loop_new = kernel_graph_ptr->NewParameter(iter_loop); | |||
| (*switch_loop_input)[kIterLoopParamName] = iter_loop_new; | |||
| ParameterPtr zero = std::make_shared<Parameter>(kernel_graph_ptr); | |||
| zero->set_name(kZeroParamName); | |||
| zero->set_abstract(paremeter_abstract_ptr); | |||
| ParameterPtr zero_new = kernel_graph_ptr->NewParameter(zero); | |||
| (*switch_loop_input)[kZeroParamName] = zero_new; | |||
| ParameterPtr one = std::make_shared<Parameter>(kernel_graph_ptr); | |||
| one->set_name(kOneParamName); | |||
| one->set_abstract(paremeter_abstract_ptr); | |||
| @@ -378,22 +343,14 @@ kernel::KernelBuildInfo::KernelBuildInfoBuilder KernelAdjust::CreateMngKernelBui | |||
| } | |||
| CNodePtr KernelAdjust::CreateStreamSwitchOp(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr, | |||
| const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input, | |||
| StreamSwitchKind kind) { | |||
| const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input) { | |||
| kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder = CreateMngKernelBuilder( | |||
| {kOpFormat_DEFAULT, kOpFormat_DEFAULT}, {TypeId::kNumberTypeInt32, TypeId::kNumberTypeInt32}); | |||
| auto typeNone_abstract = std::make_shared<abstract::AbstractNone>(); | |||
| auto stream_switch = std::make_shared<Primitive>(kStreamSwitchOpName); | |||
| std::vector<AnfNodePtr> inputs; | |||
| inputs.push_back(NewValueNode(stream_switch)); | |||
| if (kind == kFpBpStreamSwitch || kind == kEosStreamSwitch) { | |||
| inputs.push_back(switch_loop_input.at(kCurLoopCountParamName)); | |||
| } else if (kind == kGetNextStreamSwitch || kind == kIndependentStreamSwitch) { | |||
| inputs.push_back(switch_loop_input.at(kNextLoopCountParamName)); | |||
| } else { | |||
| MS_LOG(ERROR) << "unknown stream switch kind"; | |||
| } | |||
| inputs.push_back(switch_loop_input.at(kLoopCountParamName)); | |||
| inputs.push_back(switch_loop_input.at(kIterLoopParamName)); | |||
| MS_EXCEPTION_IF_NULL(kernel_graph_ptr); | |||
| CNodePtr stream_switch_app = kernel_graph_ptr->NewCNode(inputs); | |||
| @@ -476,9 +433,9 @@ CNodePtr KernelAdjust::CreateEndOfSequenceOP(const std::shared_ptr<session::Kern | |||
| return end_of_sequence_node; | |||
| } | |||
| CNodePtr KernelAdjust::CreateStreamAssignAddnOP(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr, | |||
| const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input, | |||
| bool cur_loop) { | |||
| CNodePtr KernelAdjust::CreateStreamAssignAddnOP( | |||
| const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr, | |||
| const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input) { | |||
| MS_EXCEPTION_IF_NULL(kernel_graph_ptr); | |||
| kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder = CreateMngKernelBuilder( | |||
| {kOpFormat_DEFAULT, kOpFormat_DEFAULT}, {TypeId::kNumberTypeInt32, TypeId::kNumberTypeInt32}); | |||
| @@ -488,12 +445,7 @@ CNodePtr KernelAdjust::CreateStreamAssignAddnOP(const std::shared_ptr<session::K | |||
| auto assign_add = std::make_shared<Primitive>(kAssignAddOpName); | |||
| std::vector<AnfNodePtr> inputs; | |||
| inputs.push_back(NewValueNode(assign_add)); | |||
| if (cur_loop) { | |||
| inputs.push_back(switch_loop_input.at(kCurLoopCountParamName)); | |||
| } else { | |||
| inputs.push_back(switch_loop_input.at(kNextLoopCountParamName)); | |||
| } | |||
| inputs.push_back(switch_loop_input.at(kLoopCountParamName)); | |||
| inputs.push_back(switch_loop_input.at(kOneParamName)); | |||
| CNodePtr assign_add_one = kernel_graph_ptr->NewCNode(inputs); | |||
| MS_EXCEPTION_IF_NULL(assign_add_one); | |||
| @@ -505,8 +457,8 @@ CNodePtr KernelAdjust::CreateStreamAssignAddnOP(const std::shared_ptr<session::K | |||
| AnfAlgo::SetNodeAttr("input_names", input_names_v, assign_add_one); | |||
| AnfAlgo::SetNodeAttr("output_names", output_names_v, assign_add_one); | |||
| selected_kernel_builder.SetKernelType(KernelType::TBE_KERNEL); | |||
| MS_EXCEPTION_IF_NULL(switch_loop_input.at(kCurLoopCountParamName)); | |||
| assign_add_one->set_abstract(switch_loop_input.at(kCurLoopCountParamName)->abstract()); | |||
| MS_EXCEPTION_IF_NULL(switch_loop_input.at(kLoopCountParamName)); | |||
| assign_add_one->set_abstract(switch_loop_input.at(kLoopCountParamName)->abstract()); | |||
| return assign_add_one; | |||
| } | |||
| @@ -561,23 +513,14 @@ bool KernelAdjust::StepLoadCtrlInputs(const std::shared_ptr<session::KernelGraph | |||
| void KernelAdjust::LoadSwitchInputs(std::vector<tensor::TensorPtr> *inputs) { | |||
| MS_LOG(INFO) << "---------------- LoadSwitchInputs---"; | |||
| MS_EXCEPTION_IF_NULL(inputs); | |||
| // current loop count | |||
| std::vector<int> shp = {1}; | |||
| tensor::TensorPtr cur_loop_count = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp); | |||
| MS_EXCEPTION_IF_NULL(cur_loop_count); | |||
| tensor::TensorPtr loop_count_tensor = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp); | |||
| MS_EXCEPTION_IF_NULL(loop_count_tensor); | |||
| int32_t *val = nullptr; | |||
| val = static_cast<int32_t *>(cur_loop_count->data_c()); | |||
| val = static_cast<int32_t *>(loop_count_tensor->data_c()); | |||
| MS_EXCEPTION_IF_NULL(val); | |||
| *val = 0; | |||
| inputs->push_back(cur_loop_count); | |||
| // next loop count | |||
| tensor::TensorPtr next_loop_count = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp); | |||
| MS_EXCEPTION_IF_NULL(next_loop_count); | |||
| val = static_cast<int32_t *>(next_loop_count->data_c()); | |||
| MS_EXCEPTION_IF_NULL(val); | |||
| *val = 0; | |||
| inputs->push_back(next_loop_count); | |||
| inputs->push_back(loop_count_tensor); | |||
| // Epoch in device | |||
| tensor::TensorPtr epoch_tensor = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp); | |||
| @@ -587,7 +530,6 @@ void KernelAdjust::LoadSwitchInputs(std::vector<tensor::TensorPtr> *inputs) { | |||
| *val = 0; | |||
| inputs->push_back(epoch_tensor); | |||
| // total loop count per iter | |||
| tensor::TensorPtr iter_loop_tensor = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp); | |||
| MS_EXCEPTION_IF_NULL(iter_loop_tensor); | |||
| val = static_cast<int32_t *>(iter_loop_tensor->data_c()); | |||
| @@ -596,6 +538,13 @@ void KernelAdjust::LoadSwitchInputs(std::vector<tensor::TensorPtr> *inputs) { | |||
| MS_LOG(INFO) << "iter_loop_tensor = " << *val; | |||
| inputs->push_back(iter_loop_tensor); | |||
| tensor::TensorPtr zero_tensor = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp); | |||
| MS_EXCEPTION_IF_NULL(zero_tensor); | |||
| val = static_cast<int32_t *>(zero_tensor->data_c()); | |||
| MS_EXCEPTION_IF_NULL(val); | |||
| *val = 0; | |||
| inputs->push_back(zero_tensor); | |||
| tensor::TensorPtr one_tensor = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp); | |||
| MS_EXCEPTION_IF_NULL(one_tensor); | |||
| val = static_cast<int32_t *>(one_tensor->data_c()); | |||
| @@ -33,19 +33,13 @@ | |||
| using mindspore::device::ascend::ProfilingTraceInfo; | |||
| using mindspore::device::ascend::ProfilingUtils; | |||
| namespace mindspore { | |||
| constexpr auto kCurLoopCountParamName = "cur_loop_count"; | |||
| constexpr auto kNextLoopCountParamName = "next_loop_count"; | |||
| constexpr auto kLoopCountParamName = "loop_count"; | |||
| constexpr auto kIterLoopParamName = "iter_loop"; | |||
| constexpr auto kZeroParamName = "zero"; | |||
| constexpr auto kOneParamName = "one"; | |||
| constexpr auto kEpochParamName = "loop_epoch"; | |||
| constexpr auto kStreamNeedActivedFirst = "stream_need_active_first"; | |||
| constexpr uint32_t kSecondStreamSwitchLabel = 2; | |||
| enum StreamSwitchKind { | |||
| kFpBpStreamSwitch = 0, | |||
| kGetNextStreamSwitch = 1, | |||
| kEosStreamSwitch = 2, | |||
| kIndependentStreamSwitch = 3 | |||
| }; | |||
| namespace device { | |||
| class KernelAdjust { | |||
| @@ -71,22 +65,18 @@ class KernelAdjust { | |||
| void CreateSwitchOpParameters(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr, | |||
| std::map<std::string, mindspore::ParameterPtr> *switch_loop_input); | |||
| CNodePtr CreateStreamSwitchOp(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr, | |||
| const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input, | |||
| StreamSwitchKind kind); | |||
| const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input); | |||
| CNodePtr CreatTupleGetItemNode(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr, const CNodePtr &node, | |||
| size_t output_idx); | |||
| CNodePtr CreateEndOfSequenceOP(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr, | |||
| const CNodePtr &getnext_cnode); | |||
| CNodePtr CreateStreamAssignAddnOP(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr, | |||
| const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input, | |||
| bool cur_loop); | |||
| const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input); | |||
| kernel::KernelBuildInfo::KernelBuildInfoBuilder CreateMngKernelBuilder(const std::vector<std::string> &formats, | |||
| const std::vector<TypeId> &type_ids); | |||
| void LoadSwitchInputs(std::vector<tensor::TensorPtr> *inputs); | |||
| void InsertProfilingKernel(const ProfilingTraceInfo &profiling_trace_info, | |||
| NotNull<session::KernelGraph *> kernel_graph_ptr); | |||
| bool ExitIndependent(const std::shared_ptr<session::KernelGraph> &graph_ptr); | |||
| }; | |||
| } // namespace device | |||
| } // namespace mindspore | |||
| @@ -580,14 +580,6 @@ void KernelRuntime::AssignNodeOutputMem(MemType type, const AnfNodePtr &node, in | |||
| MS_LOG(INFO) << "GetNext disable mem_reuse"; | |||
| type = kDynamicMem; | |||
| } | |||
| if (node->isa<CNode>()) { | |||
| bool independent = AnfAlgo::IsIndependentNode(node->cast<CNodePtr>()); | |||
| if (independent && type == kReuseDynamicMem) { | |||
| MS_LOG(INFO) << "Independent disable mem_reuse"; | |||
| type = kDynamicMem; | |||
| } | |||
| } | |||
| auto kernel_mod = AnfAlgo::GetKernelMod(node); | |||
| MS_EXCEPTION_IF_NULL(kernel_mod); | |||
| auto output_sizes = kernel_mod->GetOutputSizeList(); | |||
| @@ -210,7 +210,6 @@ constexpr auto kAttrDataType = "data_type"; | |||
| constexpr auto kAttrActiveTarget = "active_target"; | |||
| constexpr auto kAttrActiveStreamList = "active_stream_list"; | |||
| constexpr auto kAttrTrueBranchStream = "true_branch_stream"; | |||
| constexpr auto kAttrStreamSwitchKind = "stream_switch_kind"; | |||
| constexpr auto kAttrEventId = "event_id"; | |||
| constexpr auto kAttrDynInput = "dynamic"; | |||
| constexpr auto kAttrDynInputSizes = "dyn_input_sizes"; | |||