* fix find_unused_parameters default value

* pslib with cmake

* heter util

* vlog

* heter server test

* add dtor

* cmake

* add trainprofiler for heterps in oneps; test=develop

* add set_use_ps_gpu; test=develop

* add raw program, test=develop

* Remove paddle_custom_op dynamic libraries, change link to FLUID_CORE on windows, and check copy_to

* fix CI

* Add dlnne engine runtime

* Fix log

* Remove <const_cast> and remove unrelated modify with dlnne, +clang-format

* Fix CMakeList format error

* Add copyright message

* Fix dlnne CMakeList.txt

* Add some paddlepaddle_pass to support more networks

* Fix some format bug

* Add delete dropout_op pass

* Fix some format bug

* Fix format bug

* Revert "Revert "[PsCore] optimize performance of large kv (#32535)" (#32599)"

This reverts commit 809ac036.

* brpc dep

* - Added clearing oneDNN per executor

* - Executor is nt always having FLAGS_use_mkldnn set to true

This reverts commit 4b7242b0.

Co-authored-by: NYang Zhang <yangzhang@live.com>

* optimize pull sparse

* optimize pull sparse

* change macro

* format

* Unset ReserveSpace for inference program.

* Support training from an inference program.

* fix airank bert emb order

* move input num check to converter

* add input num check

* add unused var check white list

* update

* Refine Constructor logic of ParallelExecutor

* refine function name

* refine code comment

solve hccl communicate conflict (#32447)

* 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.

* add allreduce and broadcast without test (#31024)

add allreduce and broadcast without test

* Refactor HCCLCommContext to be compatible with Paddle (#31359)

Refactor HCCLCommContext to be compatible with Paddle (#31359)

* [NPU] add npu kernel for communication op (#31437)

* add allreduce and broadcast without test

* add c_broadcast_test case

* build c_comm_init and c_create_group operators

* make the whole thing compile

* add broadcast and init op test case but run failed

* make unit test compile

* fix broadcast test bug and change into hcom for ccl

* change c_comm_init and c_create_group ops accordingly

* make tests compile

* transfer code to 27

* compiled successfully in 28, but run failed

* test broadcast in 28, but failed

* make hcom primitives work

* change hccl data type for base.h

* fix broadcast bug

* make attributes work

* fix group name bug

* add allreduce but test failed

* allreduce bug for qiuliang

* allreduce finished

* add allgather and reducescatter

* merge all op code

* add allgather test

* finish run all ccl op test exclude send/recv

* all all op and test exclude send/recv

* send_v2_npu.cc recv_v2_npiu.cc compiled

* fix ccl core dump bug and test allgather, reducescatter, broadcast op

* fix allreduce bug just for test

* hcom send&recv test pass, without hcom_destroy

* for qiuliang test

* Ascend Send&Recv Test Pass

* all op (ex send/recv) ok

* fix bug

* merge all ccl op

* style merge to PaddlePaddle

* merge style

* new merge style

* merge style 2

* insert an empty at the end

* disable ctest for hcom to pass ci
Co-authored-by: Nvoid-main <voidmain1313113@gmail.com>
Co-authored-by: Nf2hkop <f2huestc@outlook.com>

* Add auto-increasing tag id for Hcom OPs (#31702)

* add c_reduce_sum op (#31793)

add c_reduce_sum op

* update Ascendrc hccl to 20.3 (#32126)

update Ascendrc hccl to 20.3 (#32126)

* fix merge code

* change cmake.txt1

* [NPU] Support npu kernel for c sync stream op (#31386)

* sync stream npu op

* add with_ascend_acl

* update c++ unittest

* compile all failed

* try to pre commit

* after pre commit

* merge&compile&test hccl successfully!

* fix code style

* fix code style

* fix bugs about hccl

* fix some bugs

* fix code style

* fix style

* fix style

* fix

* fixed

* merge develop
Co-authored-by: Nlw921014 <liuwei921014@yeah.net>
Co-authored-by: NVoid Main <voidmain1313113@gmail.com>
Co-authored-by: Nf2hkop <f2huestc@outlook.com>
Co-authored-by: Nxiayanming <41795079@qq.com>

* remove thrust includes, test=develop

* fix compilation error, test=develop

* fix compilation of truncated_gaussian_random_op, test=develop

* build task cost

* return pool

add npu check nan and inf (#32340)

* [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 model parallel support in dygraph

* support ernie trt-int8 for inference

* fix reshape

* 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

* add IsInitialized

* rm additional log and add tanh double grad

* rename is_initialized

* custom python backward

* polish up the code

* polish up the code

* polish up the code.

* Fix code format and comments.

* Delete redundant files.

* add unnittest.

* edit unnittest.

* edit unnittest.

* Remove redundant header files.

* Improve coverage and remove redundant code.

* support saving for backward.

* polish code according to comments.

* Add support type for PyLayer.

* Modify the DOC.

* polish Doc.

* polish Doc.

* polish Doc.

* polish Doc.

* polish Doc.

* polish Doc.

* polish code and make the code robust.

* Modify the code format.