* first test version

* add test exec;

* add data transfer; test=develop

* add new exec head;

* add memcpy; test=develop

* add python fetch

* add new test

* add graph node; test=develop

* remove useless new executor test; test=develop

* remove gperf dependency; test=develop

* fix compile bugs; test=develop

* remove useless code; test=develop

* remove useless code; test=develop

* add uni test; test=develop

* polish code; test=develop

* polish code; test=develop

* add interpreter cmakefile; test=develop

* remove useless code; test=develop

* support Kunlun2

* support KL2

* support KL2

* add basic APIs

* add attr_types

* follow comments

* change pass attr types

* add set pass attribute codes

* refine PADDLE_THROW

* add fix op run order pass

* add ut for fix_op_run_order

* fix ci error

* improve coverage

* improve coverge again and fix cpu test case

* follow some comments

Revert "Revert "[Dy2Stat] Refactor ExecutorCache logic and pre-support BuildStrategy for pass (#34181)" (#34348)" (#34384)

This reverts commit 577fdde5.

Revert "[Dy2Stat] Refactor ExecutorCache logic and pre-support BuildStrategy for pass (#34181)" (#34348)

This reverts commit 609f8225.

* modify into program_id

* fix cache_info declare problem

* fix python int to C long problem

* modify point to reference

* add ENVS

* add cuda event and stream api

* add cuda event and stream api

* add get_current_stream api

* add get_current_stream api

* init streams

* modify get_current_stream

* modify get_cuttent_stream

* add synchronize func

* add current_stream doc and test file

* move get_current_stream into CUDA macro

* move CudaEvent into CUDA macro

* move _get_current_stream and _device_synchronize into cuda macro

* modify the macro of cuda stream and event

* add test case for synchronize

* add paddle.devices.cuda module

* event and stream support hip

* add doc for stream and event class

* move cuda stream and event into single pybind

* add cuda_streams_py.cc to cmakelist

* add _device_synchronize and _get_current_stream to core module

* add test case for cudastream and cudaevent

* move __all__ in streams.py

* fix test fail

* add cuda to devices __all__

* fix current_stream doc writing error

* move devices to device direction, and merge device.py into __init__.py

* add required:gpu to sample codes

* remove cuda direction from device/__init__.py

* Refine Constructor logic of ParallelExecutor

* Replace executor into ParallelExecutor in run_program_op

* pipeline adaptive for heterps;test=develop
* fix finalize hang;test=develop
* add is_compiled_with_heterps for dataset;test=develop
* fix hashtable core when pass ins_num=0;test=develop

* support set_device for NPU.

* minor update doc and add more unit test.

* optimize attr default value, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* fix bug in AttrReader, test=develop

* fix bug, test=develop

* fix double_grad, test=develop

* refine, test=develop

* refine, test=develop

* fix checker null, test=develop

* for test, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* support state_dict save to memory.

* Perfect unittest

* perfect unittest.

* suport saving binary var to memory

* polish code.

* packag save/load files into pybind/io.py

* polish code .

* add example for save to memory; remove useless save load function(_load_static_dict,_save_dygraph_dict)

* delete _load_static/dygraph_dict;_save_static/dygraph_dict

* edit example of paddle.save/load

* fix save/load with unexpected value
* fix save and user interface
* add save sparse sharding to selected rows

* support save/load binary format tensor

* Fix error when create cudaplace

* Fix error when create cudaplace

* Fix error when create cudaplace

* get devive context from pool.

* move define of 'SerializeToStream' and 'DeserializeFromStream' to 'lod_tensor.cc' and 'selected_rows.cc'.

* improve coverage.

* improve coverage.

* polish API

* deal with conflict

* disable save/load large file in unnittest

* split unnittest.

* [NPU] register finalize on exit

* fix

* [NPU] support GarbageCollector for npu (#31874)

* support GarbageCollector for npu

* fix typo

* fix gather_grad

* disable NPUDefaultStreamGarbageCollector on NPU

* [NPU] support npu for memcpy op (#31808)

* support npu for memcpy op

* add ut

* fix ut

* fix typo

* 【NPU】fix bug of using temp vector (#31963)

* fix bug when beta1_pow on cpu (#31995)

* [NPU] support npu profiler (#31684)

* support npu profiler

* add python api

* fix bugs

* add wrapper for incomplete type

* update profile proto

* record npu wait

* add xpu placeholder

* fix adam (#32016)

* [NPU] enable async copy and  add wait before sync operation (#31956)

* enable async copy and  add wait before sync operation

* remove unneccessary wait

* add FillNpuTensorWithConstant

* refine

* fix fill_constant

* make TensorFromVector/TensorToVector sync

* [NPU] Support dataloader on npu place. (#31867)

* [NPU] Wait on NPUPlace (#32086)

* [NPU] fix cast op (#32121)

* fix npu kernel of cast op to handle casting to same dtype

* add comments

* [NPU] support cann 20.3 (#32044)

* fix compile problem on cann 20.3

* fix ut

* fix test_mul

* fix check_finite_and_scale

* fix lookup_table_v2_grad

* fix cmake

* support print op

* [NPU] Support npu save load (#31893)

* support save load for NPU

* add save load npu unittest

* support np.array transform in NPU

* fix errors

* delete dygraph in unittest

* add Wait

* fix unittest

* fix review comment

* fix unittest problem

* fix little problem

* change aclrtSynchronizeDevice to aclrtSynchronizeStream for better performance (#32196)

* change aclrtSynchronizeDevice to aclrtSynchronizeStream for better performace

* refine code

* fix NPUDeviceContext in all c++ unittest (#32198)

* fix NPUDeviceContext in all c++ unittest

* refine log
Co-authored-by: Npangyoki <pangyoki@126.com>

* [NPU] Remove TensorFromVector and avoid sync copy in npu op kernel for better performance (#31994)

* enable async copy and  add wait before sync operation

* remove unneccessary wait

* add FillNpuTensorWithConstant

* refine

* fix fill_constant

* change TensorFromVector to FillNpuTensorWithConstant

* fix ignored api

* delete extra unittest

* fix little error

* fix update_loss_scaling_op_npu and check_finite_and_unscale_op_npu

* change TensorCopySync to TensorCopy

* delete useless Wait and add StreamWait

* fix npu_stream error

* fix check_finite_and_unscale_op_npu TensorCopy

* only save stream wait

* fix NPUDeviceContext in all c++ unittest

* delete wait
Co-authored-by: Nzhiqiu <chenqiuliang@baidu.com>

* delete useless unittest file (#32206)

* Fix op test (#32231)

* fix conditional block (#32243)

* fix adam bug again (#32246)

* fix compile

* fix ut

* fix ut
Co-authored-by: Nliym27 <33742067+liym27@users.noreply.github.com>
Co-authored-by: Npangyoki <pangyoki@126.com>

* add index_dataset and index_sampler for tree-based model

* pscore support heterps

* fleet cmake

* fleet wrapper

* macro

* solve conflict

* solve conflict

* add unitest

* paddle enforce

* unitest

* unitest

* unitest

* [feature] support npu allocator (#30840)

[feature] support npu allocator

* [feature] support npu operator (#30951)

[feature] support npu operator

* [feature] support npu allocator, part 2 (#30972)

* support npu allocator

* add npu device context

* fix some compile problem

* fix some compile problem

* add npu info

* compile ok

* fix include dir

* support naive_best_fit_allocator

* run ut ok, bug failed to exit

* call aclrtResetDevice before exit

* fix aclFinilize

* add system allocatot test

* add selected_gpus in gtest

* add tensor_test for npu

* support npu op, initial commit

* add npu stream

* add elementwise_add_op

* compile ok

* fix typo

* fix elementwise_add_op_npu_test

* support op run

* test can run but failed

* change aclopExecuteV2 to aclopCompileAndExecute

* support parsing ascend rank table file (#31000)

support parsing ascend rank table file

* Fix reshape on GE graph. (#31084)

Fix reshape on GE graph

* add npu kernel for elementwise_sub and elementwise_sub_grad (#30973)

* add npu sub op

* fix typo

* rename test

* fix bug

* fix bug

* add fp16 kernel

* fix typo

* support sub grad op

* support elementwise_sub_grad op
Co-authored-by: Nfrankwhzhang <frankwhzhang@126.com>

* Fix compilation problem (#31100)

Fix compilation problem (#31100)

* fix compile

* fix code stype

* remove const_cast

* support adding correct npu op in pybind.h (#31143)

* support adding correct npu op in pybind.h

* refine code

* [NPU] Support executor with NPU (#31057)

* [NPU] Support executor with NPU

* Fix code according to reviews

* Fix code

* Add unittest for sub op npu

* refactor npu device manager (#31154)

refactor npu device manager (#31154)

* fix selected npus

* fix compile

* fix reading flags from env

* format
Co-authored-by: Nxiayanming <41795079@qq.com>
Co-authored-by: Ngongweibao <weibao.gong@gmail.com>
Co-authored-by: Nfrankwhzhang <frankwhzhang@126.com>
Co-authored-by: Nliym27 <33742067+liym27@users.noreply.github.com>

* Use the runtime to create the unsupported_fp16_list using in AMP.

* Add more infos about supported ops.

* Add some comments for the function of OpSupportedInfos.

* Fix the unit test of test_multi_precision_fp16_train.

* Ascend rc (#30483)

* Fix compilcation on CANN20.1 and older (#30494)

Fix compilcation on CANN20.1 and older

* Add distribution supported (#30578)

Add distribution supported

* Build praser for Hcom* operators (#30627)

Build praser for Hcom* operators

* Pass device_ids info from launch to trainer. (#30632)

Pass device_ids info from launch to trainer

* Add Hccl program group (#30642)

Add Hccl program group

* Add startup bash files of test_ascend_group. (#30645)

Add startup bash files of test_ascend_group

* cleanup (#30646)

cleanup test_ascend_group.py

* [Feature] Build parser to support distributed training (#30658)

[Feature] Build parser to support distributed training

* fix compilation on ascend-20.1 (#30722)

fix compilation on ascend-20.1

* Dev/fix ascend string (#30749)

Dev/fix ascend string

* code style (#30781)

code style

* Merge ascend_optimizer and ascend_parser. (#30776)

Merge ascend_optimizer and ascend_parser.

* Ascendrc add converted op : [range/equal/range/uniform_random/expand/squeeze], fix cast op bug  (#30797)

Ascendrc add converted op : [range/equal/range/uniform_random/expand/squeeze], fix cast op bug

* Add paddle ascend distribution training supported (#30796)

Add paddle ascend distribution training supported

* pass cxx_flags to gloo cmake (#30857)

* Destroy session first. (#30954)

Destroy session first.

* merge

* fix, test=develop

* fix, test=develop

* fix style, test=develop

* fix, test=develop

* fix

* fix log fatal, test=develop

* fix enforce style, test=develop

* fix, test=develop

* fix, test=develop

* fix rccl, test=develop

* fix test, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix node_num, test=develop

* fix ids str, test=develop

* fix ids str, test=develop

* fix ids str, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix, test=develop

* fix style code, test=develop

* fix style code, test=develop

* fix style code, test=develop

* fix style code, test=develop
Co-authored-by: Nhutuxian <hutuxian2011@sina.cn>
Co-authored-by: Ngongweibao <weibao.gong@gmail.com>
Co-authored-by: NVoid Main <voidmain1313113@gmail.com>
Co-authored-by: NLeo Chen <chenqiuliang@baidu.com>
Co-authored-by: Ndingsiyu <18369187719@163.com>
Co-authored-by: NOleNet <olenet@126.com>

* graph engine demo

* upload unsaved changes

* fix dependency error

* fix shard_num problem

* py client

* remove lock and graph-type

* add load direct graph

* add load direct graph

* add load direct graph

* batch random_sample

* batch_sample_k

* fix num_nodes size

* batch brpc

* batch brpc

* add test

* add test

* add load_nodes; change add_node function

* change sample return type to pair

* resolve conflict

* resolved conflict

* resolved conflict

* separate server and client

* merge pair type

* fix

* resolved conflict

* fixed segment fault; high-level VLOG for load edges and load nodes

* random_sample return 0

* rm useless loop

* test:load edge

* fix ret -1

* test: rm sample

* rm sample

* random_sample return future

* random_sample return int

* test fake node

* fixed here

* memory leak

* remove test code

* fix return problem

* add common_graph_table

* random sample node &test & change data-structure from linkedList to vector

* add common_graph_table

* sample with srand

* add node_types

* optimize nodes sample

* recover test

* random sample

* destruct weighted sampler

* GraphEdgeBlob

* WeightedGraphEdgeBlob to GraphEdgeBlob

* WeightedGraphEdgeBlob to GraphEdgeBlob

* pybind sample nodes api

* pull nodes with step

* fixed pull_graph_list bug; add test for pull_graph_list by step

* add graph table;name

* add graph table;name

* add pybind

* add pybind

* add FeatureNode

* add FeatureNode

* add FeatureNode Serialize

* add FeatureNode Serialize

* get_feat_node

* avoid local rpc

* fix get_node_feat

* fix get_node_feat

* remove log

* get_node_feat return  py:bytes

* merge develop with graph_engine

* fix threadpool.h head

* fix

* fix typo

* resolve conflict

* fix conflict

* recover lost content

* fix pybind of FeatureNode

* recover cmake

* recover tools

* resolve conflict

* resolve linking problem

* code style

* change test_server port

* fix code problems

* remove shard_num config

* remove redundent threads

* optimize start server

* remove logs

* fix code problems by reviewers' suggestions
Co-authored-by: NHuang Zhengjie <270018958@qq.com>
Co-authored-by: NWeiyue Su <weiyue.su@gmail.com>
Co-authored-by: Nsuweiyue <suweiyue@baidu.com>
Co-authored-by: Nluobin06 <luobin06@baidu.com>
Co-authored-by: Nliweibin02 <liweibin02@baidu.com>

* Remove old custom OP to reduce whl package volume

* [Custom OP]Remove old custom OP to reduce whl package volume

* delete include framework.pb.h

* fix error

[Kunlun]Multi xpu dygraph performance optimization , add distributed.spawn support for multi xpu and some bug-fixes (#31130)

* initial commit: simple demo

* polish copyright format

* add grap op simple demo

* adapt uncertain number of argument

* change trait marco name

* add place & dtype support for add kernel

* add dispath and infershape func

* poish code & add notes

* add dynamic_loader dep for paddle_framework

* add new custom op test dir

* polish impl details

* add unittest for new custom op

* fix failed unittest

* Costum op (#1)

* fix compile error

* wrap framework tensor with LoDTensor

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* add CustomTensor default constructor

* add size() for CustomTensor

* make size const for CustomTensor

* refactor place related api to circle the concept

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* make place const

* make Tensor copy

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* remove additional head of framework

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* add gpu test

* merge latest cwh code in

* adjust ut code of custom op

* adjust ut code of custom op

* adjust ut code of custom op

* Remove ShareData from user && Change CustomTensor to Tensor && Support more data type (#2)

* fix compile error

* wrap framework tensor with LoDTensor

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* add CustomTensor default constructor

* add size() for CustomTensor

* make size const for CustomTensor

* refactor place related api to circle the concept

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* make place const

* make Tensor copy

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* remove additional head of framework

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* add gpu test

* merge latest cwh code in

* adjust ut code of custom op

* adjust ut code of custom op

* adjust ut code of custom op

* adjust ut code of custom op

* adjust ut code of custom op

* hid share data from and to

* rename CustomTensor to Tensor

* refactor register design & add test

* change op_funtion to op_meta_info

* split op meta info into .h and .cc

* move get methods into friend class

* move OpMetaInfoHelper into framework space

* move CustomTensorUtils into framework space

* change pybind api name

* move PD C API into op meta info

* add register custom op api

* remove inference cmake change

* refactor copy to api && change Reshape to lowercase && support more dtype && add more test (#3)

* fix compile error

* wrap framework tensor with LoDTensor

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* add CustomTensor default constructor

* add size() for CustomTensor

* make size const for CustomTensor

* refactor place related api to circle the concept

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* make place const

* make Tensor copy

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* remove additional head of framework

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* add gpu test

* merge latest cwh code in

* adjust ut code of custom op

* adjust ut code of custom op

* adjust ut code of custom op

* adjust ut code of custom op

* adjust ut code of custom op

* hid share data from and to

* rename CustomTensor to Tensor

* support multi dtype

* remove lod, make reshape lowercase, add copy test and refactor copy api

* remove lod, make reshape lowercase, add copy test and refactor copy api

* remove lod, make reshape lowercase, add copy test and refactor copy api

* remove lod, make reshape lowercase, add copy test and refactor copy api

* fix copy to error

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* polish detail & error message

* polish test details

* Add cast api && Change copy related api to copy_to && add more test (#4)

* fix compile error

* wrap framework tensor with LoDTensor

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* add CustomTensor default constructor

* add size() for CustomTensor

* make size const for CustomTensor

* refactor place related api to circle the concept

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* fix compile error

* make place const

* make Tensor copy

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* debug CustomTensor core

* remove additional head of framework

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* use back to shared ptr for custom tensor

* add gpu test

* merge latest cwh code in

* adjust ut code of custom op

* adjust ut code of custom op

* adjust ut code of custom op

* adjust ut code of custom op

* adjust ut code of custom op

* hid share data from and to

* rename CustomTensor to Tensor

* support multi dtype

* remove lod, make reshape lowercase, add copy test and refactor copy api

* remove lod, make reshape lowercase, add copy test and refactor copy api

* remove lod, make reshape lowercase, add copy test and refactor copy api

* remove lod, make reshape lowercase, add copy test and refactor copy api

* fix copy to error

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add more test

* add type cast

* add cast and make copy to api

* add cast and make copy to api

* add cast and make copy to api

* add cast and make copy to api

* merge cwh code

* merge cwh code

* merge cwh code

* merge cwh code

* merge cwh code

* add more error log

* add more error log

* polish code

* used for test

* remove test comment

* remove test comment

* fix uint8 type error

* fix lost uint8 type error

* add test for coverage

* polish details by reviewer comments

* add prefix for DISABLE_COPY_AND_ASSIGN
Co-authored-by: NJiabin Yang <360788950@qq.com>

* Update Xbyak and add bf16 fast performance verification

* Fix formating

* Change LOG message

* Trigger an update of a new tag

* delete empty line of pybing.cc, test=develop

* use nvtx push pop in timeline, test=develop

* change year, test=develop

* add #ifdef PADDLE_WITH_CUDA, test=develop

* add #ifndef WIN32, test=develop

* is_pushed to is_pushed_, test=develop

* rename sendrecv.proto to namespace paddle.distributed

* split ps with distributed