* add align for WorkQueue

* add spinlock

* merge develop

* merge

* Add EventsWaiter

* Revert "Add EventsWaiter"

This reverts commit e206173aa9be7401b83a53581627bfaf557c8fb2.

* Set thread name for WorkQueue
Co-authored-by: Nliutiexing <liutiexing@google.com>

* refactor scale kernel that its input is selected_rows

* complement upload file

* move digamma to pten; test=develop

* fix mutable_data bugs; test=develop

* remove useless code; test=develop

* remove kernel compute; test=develop

* fix bug; test=develop

* slice

* shuffle pass enhancement

* [PSLIB] Add Metrics Module, Support User-defined Add Metric

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI Coverage

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI Coverage

* [PSLIB] Modify According to CI Coverage

* [PSLIB] Modify According to CI Coverage

* modify role_maker

* update CMakeLists.txt

* remove remake densetensor

* fix eager test error

* fix bug in eager

* implement AllocateFrom

* remove WriteBackOutput

* fix problem of eager
Co-authored-by: Nzkh2016 <zhangkaihuo@baidu.com>

* Refactor TensorAdd func by template and remove gradient_accumulation in eager

* Remove needless target name

* Use overload instead of template

* add the test case for the UVA

* add the context load for the uva

* Add graph_sample kernel

* Add graph_sample commit

* add new commit for graph_sample

* add unsigned long long int

* delete some remarks

* add cpu version

* add cuda eids

* add cpu eids

* delete _uva

* optimize speed: emplace_back, last_layer

* add to_uva_tensor

* add cpu return_eids choice

* add gpu return_eids choice

* add cpu reindex_nodes

* add gpu reindex_nodes

* rename op and add OMP for cpu

* add incubate api

* fix the compile problem for the PADDLE_ENFORE and different device

* fix the rcom and windows compile problem

* add unittest for graph_sample_neighbors

* fix cpu unittest and unique problem

* fix uva unittest, fix cuda unique problem

* fix the windows compile problem

* fix the windows rand_r compile problem

* add correct unittest, add src_eids dispensable

* delete black

* combine uva unittest

* mv Sample_index to Sample_Index; check input shape; fix random sample func

* delete memset & cudaMemset

* fix according to PR comments

* fix rocm ci

* modify function names according to the specification

* fix windows_openblas ci

* refine annotations, fix windows unittest, add default value for uva device_id, fix bug for input nodes with empty neighbors

* fix rocm ci

* rename graph_sample_neighbors as graph_khop_sampler, add incubate api doc

* add data type

* fix conflict
Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>

* remove remake densetensor

* fix eager test error

* fix bug in eager

* Support allocate_from in Tensor and allocate_data in Context

* fix #ifdef CUDA

* fix cycle depends

* fix test_xxx_dev_api failed

* fix windows compiling error

* fix unittest

* modify into PImpl

* fix selected rows

* add TODO comment

* refine interface according reviewer

* [Demo] custom kernel based on pten kernel

* merge and npu custom work well

* del comments

* delete other code

* fix CUDAContext

* fix not found small_vector.h

* support NPU

* fix NPUContext

* fix DeviceContext support

* add UT

* fix call

* add UT

* fix

* fix for comments and ut

* add MACRO control

* fix multi input output

* support env CUSTOM_DEVICE_ROOT

* deal with special cases

* fix for Windows

* try coverage with test_custom_kernel_dot.py

* fix test_custom_kernel_dot

* fix test_custom_kernel_dot

* fix merge

* fix merge

* fix CI

* update

* merge and fix

* remove WITH_CUSTOM_KERNEL

* fix merge

* merge and fix

* fix ut

* fix ut for mac

* add more UT

* add more UT

* fix

* add full_kernel xpu

* fix full xpu register device type error

* fix full kernel bug

* add fulllike kernel impl and replace with raw kernel

* fix dev_ctx convert template args error

* modify namespace and header file

* add isinf check

* fix input type args in TensorSetConstantXPU error

* shuffle channel pass

* add ut

* timeout fix

* makefile fix

* optimize kunlun/xpu softmax_with_cross_entropy add add unitest
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

* fix slice bug

* fix syntax error

* compile for afs api

* with pslib

* Paddle-Inference:fix_concat_slice

* Paddle-Inference:fix_concat_slice

* Paddle-Inference:fix_concat_slice

* Paddle-Inference:fix_concat_slice

* [Paddle-Inference]: fix concat slice

* [Paddle-Inference]: fix concat slice

* [Paddle-Inference]: fix concat slice

* Removed debug info

* Added automatic code generation for final state Eager Dygraph

* Modified backward yaml

* Fixed CI Issues

* update cmake file to remove fluid kernel

* add pten declaration.h to where pybind.h used

* fix sync_bn and tensorrt_engine

* refine detection_library

* fix interpreter_core

* support eager legacy

* fit eager legacy for pten

* fall back to cpu if not found kernel

* fix compile problem

* fix compile problem

* refine fallback logic

* fit operator.run()

* fix xpu compile

* fit for new_exec

* add REGISTER_OP_WITHOUT_GRADIENT

* un-cache pt_kernel_context

* fix compile

* fix cudnn

* fix compiling with on_infer

* fix mkldnn

* fix isfinite_v2

* fix xpu problem

* fix op_device

* refine fallback for xpu

* fix xpu compile

* merge develop

* refine code format

* fix compile

* fix compile

* add data_transfer

* fix PreparePtenData

* fix cpu context

* merge develop

* fix compile

* fix error device context

* fix xpu

* fix dev_ctx

* cast xpu kernel init

* cast xpu kernel

* replace with raw cast xpu kernel

* fix cast kernel bug

* add the missing break

* modify namespace and header file

* Added selected_rows and rw_lock to pten

* Renamed the unit test target to fix CI

* Removed Class SelectedRows in Fluid, changed include/cmake relationship, use pten::SelectedRows in Fluid

* Remove rw_lock.h,rw_lock_test.cc in fluid

* Use pten::RWLock and pten::AutoRDLock, fix CI

* Use pten::SelectedRows

* Use pten::SelectedRows

* Fix to pass NPU CI

* Selected_Rows inherits from TensorBase

* Use pten::SelectedRows, to pass NPU CI

* To fix NPU CI

* To fix NPU CI again

* Use paddle/pten/core/enforce and polish code

* Support imperative selected_rows_to_lod_tensor

* Polish code

* [MLU]Add conv2d op

* [MLU]fix comment

* [MLU]adapt NCHW of conv2d op

* sync misc changes

* apply comments 01

* fix compile error

* remove is_ipu_place check

* add authors
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* sync changes

* restore cmake

* update ir cmake and setup.py

* update inference_lib cmake

* split PR
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* move kernel_primitives

* use pten's errors

* add eigen deps

* update

* sync misc changes

* apply comments 01

* fix compile error

* remove is_ipu_place check

* add authors
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* sync changes

* restore cmake

* update ir cmake and setup.py

* update inference_lib cmake

* restore for split PR
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* add profile record for dygraph

* add op type in record

* fix little bug

* solve conflict

* Optimize layer_norm fwd when cols is 1024.

* add sigmoid cross entropy with logits to kl2. test=kunlun

* add sigmoid cross entropy with logits to kl2. test=kunlun

* follow comments. test=kunlun