* refine act_id order condition

* strict act id check (excluding model regst)

* add TODO: figure out the ActNumForEachOutput of model regsts to MdSave area

* remove blob_inited check

* fix inplace feature of reduce add actor and kernel

* rm useless code

* add EnableInplace, support CPU allreduce

* refine task_graph construtor

* use const qualifier

* add ordered_chain_nodes_

* enable in_diff blobs of bw_add share mem

* use default operator= for BlobDesc

* blob's mem_shared_id -> blob_mem_id

* minor refine

* move mem_case util to memory_allocator.h

* refine blob mem sharing

* refine compute packed blob

* add operator= for blob_desc

* BldSubGrpBy 121/boxing use same buf task

* remove 121 boxing regst from loss/decode compute task node

* remove B121 regst in fw/bw/compute task node, remove lbi_121/boxing in logical node

* remove b121

* fix bug in bw task node

* rm TryMerge

* rm extra loop in CollectAncestorsForEachNode

* add warmup

* add constant warmup

* rename cur_batch_num

* make warmup and lr decay not work together

* WarmupOnset -> TriggerWarmup

* refine and move CalcBaseII to ChainActGraph

* use MainByteSize4OneRegst()

* use ReverseDfs

* use shared and unshared

* use regst_act_group

* use SameFakeProducerOutsRegstActGroup

* avoid use HashMap<std::list<T*>>

* use std::set instead of HashSet

* change variant name

* minor refine of variable name

* feat(reduce_scatter_kernel): reduce scatter kernel is as before for cpu, and do nothing for gpu

* feat(reduce_local_add_kernel): update reduce_local_add kernel for in-place on GPU

* feat: update reduce_local_add actor to support inplace kernel

* feat: add support for inplace in reduce_global_add/gather

* fix: use ibn.substr(3) to specify inplace in_blob other than in_bn_id

* feat(register_desc): add mem_shared_offset

* feat(regst_desc): set the default val of mem_shared_offset as -1

* feat(register_manager): add offset in register_manager

* feat: add EnableMemSharingInReduceStruct(), set the mem_shared_id/offset of reduce regst

* feat(task_graph): AddCtrlEdge4MemSharingInOneReduce()

* feat: set mem_shared of regst produced by reduce/copy task nodes as true

* refactor(copy_task_node): regsts produced by CopyH2D and consumed by reduce_task are able to share mem, others stays unable

* fix(copy_task_node): not use SoleOutEdge() for copy_task_node

* fix(task_graph): fix the compile bug

* feat: set min/max regst_num of regst produced by reduce/copy task_node as 1

* feat: support mem_shared_offset in improver

* fix(copy_task_node): set max_regst_num of copy node succeed reduce nodes as 1

* refactor(task_graph): remove FindSuccReduceTaskNode() from member function, just as lambda function

* refactor(task_graph): refine EnableMemSharingInOneReduce()

* fix(reduce_scatter_task_node): fix the bug of wrong out_regst_name when parallel_num==machine_num

* refine: refine due to comment

* RmUselessConsumeRelationshipBetweenFwBw impl

* add need in/out blob when backward in ops

* remove NormalBackwardActor rely to out regst desc id

* remove log and fix warning

* fix code

* add tuple switch;

* 分离record_load和loss_print线程，动态分配线程id;
让persistence，comm_net线程和其创建顺序解耦.

* seperate persistence thread; dynamically setting the thread id of the persistence tasknode and creating persistence threads.

* improve seperate thread

* improve algorithm; add unit test;

* simplify algorithm

* merge master

* solve conflict

* add braces for if statement

* improve code

* change persitence_work_num to max_mdsave_work_num; add CHECK; add a unique function(remove duplicated elements) into util.h

* use std::unique; improve code; update unit test.

* simplify code: use std::set to unique; replace "+=" into "=";

* feat(task_graph.cpp): reconnect the edge between ReduceLocalAdd and ReduceGlobalAdd

* feat: round up the packed_blob_desc of md_diff_regst to parallel_num

* feat: round up the packed_blob_desc of md_diff_acc regst, and remove MutPackedBlobDesc() interface from RegstDesc

* fix(task_graph.cpp): remove the CHECK of same machine when building edge between ReduceScatter and ReduceGlobalAdd

* feat(task_graph.cpp): connect same pair of ReduceScatter and ReduceLocalAdd with duplicate edges

* refactor(reduce_scatter_comp_task_node): update the bind of produced_regst and obn

* chore: add some check

* feat(reduce_scatter_op): update the InferBlobDescs()

* fix(reduce_scatter_compute_task_node): fix the bug of set produced out regst name

* refactor(reduce_scatter_comp_task_node): rename the produced out regst

* fix(reduce_scatter_comp_task_node): fix the CHECK macro

* refine(reduce_scatter_op): refine the CHECK macro

* feat: udpate reduce_local_add tasknode/op/op_conf to support new connecting

* feat: update the actor for reduce and reduce_local kernel

* fix: cannot find lbi in reduce_local_add, so identify regsts by name_in_producer

* fix(normal_backward_comp_task_node): consider normal backward with no model_diff

* fix(input_wise_compute_actor): fix the bug of update member status after send to consumer

* fix merge conflicts

* refactor: deduct the relation between ibn and in_regst in Build() other than ConsumeRegst() for ReduceLocalAdd

* refine: refine the CHECK macro

* modify the cudnn algorithm selction API

* remove the redundant setting of bwd_data

* modify the conv algo seletion API to the *Ex

* modify the cudnn max workspace to 1g

* pre-allocate work space

* fix empty fw_cudnn_buf issue

* MemBlobDesc

* refine blob runtime

* refine copyHd clone reshape kernel

* move blob header to cpu

* refine RoundUp of Blob size

* fix bug of runtime regst desc packed blob

* refine (#1059)

* add loss test data id note

* Dev blob header cpu3 (#1062)

* add blob body desc

* make blob body desc work

* make blob header desc work

* rm MemBlobDesc

* add CellDesc

* add is_packed

* add chunk desc

* rm CellDesc

* chunk desc -> field desc

* add RtBlobDesc

* refine

* refine

* body_desc -> body_field

* Infer header field desc in BlobDesc.ToProto()

* refine

* RuntimeBlobDesc constructor

* runtime uses RtBlobDesc workable, still has data_id bug

* make some accessors of BlobDesc private

* rm header_byte_size

* fix stupid bug

* refine is_packed -> header_is_packed

* header_is_packed -> header_is_opaque

* refactor BlobDesc.Proto

* add constructor BlobDesc -> RtBlobDesc

* refactor, remove useless code

* refine

* fix bug of regst manager allocate separated mem

* refine blob_desc constructer

* remove BlobDesc(const BLobDescProto&)

* refine code

* delete test code

* remove useless code

* add BlobDesc()from proto

* make opaque header mutual exclusive (#1077)

* make opaque header mutual exclusive

* refine kernel.proto

* has_data_id -> need_do_data_id

* half impl

* refine activation

* kernel if with activation

* remove virtual of infer if

* half impl

* op inferbwbufblobdesc

* fw_buf bw_buf regst

* buf_blob instead of thread_buf for conv_op

* cudnn fw bw buf runnable

* fw bw buf for softmax

* remove buf of softmax loss

* remove buf_size of reduce_sum

* remove thread buf & device buf

* use fw_buf for reduce_sum_op fw_tmp blob

* use BfsTopo instead. DfsTopo causes issues in ReduceStruct

* add comment

* remove staleness

* ensure balanced placement for data and model parallel

* add device_num_of_each_machine

* DFS ChainActGraph

* provide interface to improver

* Add RegstAct

* rename to chain_act_graph

* add new file

* Add ForEachRegstActDuration

* use RegstActCtx

* use constructor

* use pair instead of node_str

* Construct RegstAct togather

* change ParseActEvents to std::list<std::unique_ptr<ActEvent>>

* fake_producer_outs

* use Duration4ActEvent

* add CHECK

* delete act_graph.cpp

* use node->ForEach

* add CHECK

* remove false CHECK