* move incubate to geometric

* add paddle.geometric

* fix unittest bug

* add float16 support for segment op

* change reindex and sample neighbors flag name

* add heter graph reindex

* move sample_neighbors.py to neighbors.py

* delete khop_sampler in geometric

* delete unused code

* change sample_neighbors api input order

* fix en doc

* fix unittest

* fix unittest

* change reindex

* fix division by 0

* delete unnecessary input argument

* delete final_state

* unify the size and size() by jst

* fix bugs

* bug fix.

* fix bugs

* change all_close -> np.testing.assert_allclose

* support depthwise_conv2d ops
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* fix duplicate name
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* add legacy_api.yaml

* set merged_momentum inplace only

* support inplace optional<vector<tensor>>

* add dygraph_mode api

* add merged_adam yaml

* add merged_adam python api

* change testcase of merged_adam and adam

* fix import of test_merged_adam_op

* DLTP-55757 [Bug] 【Paddle3D】pointpillars在paddle=dev上export model报错

* DLTP-55757 [Bug] 【Paddle3D】pointpillars在paddle=dev上export model报错

* fix default dtype

* coverage

* del no need cases

* add simple reformated ci files

* update

* add radme for new unitetsts

* add radme for new unitetsts

* add radme for new unitetsts

* reset mlu

* update for samples

* add base api

* reset some dist unit tests

* add warning in grenerated cmakelists file

* update readme for new dist unit tests

* add all collective tests

* remain base file and launcher file

* Update README.md

* Update README.md

* fix env PYTHONPATH

* Update gen_ut_cmakelists.py

* add all collective tests

* add docs for gen_ut_cmakelists.py

* pretify codes

* commont name == "name"

* update for comments

* update function's help

* update for run type

* update readme

* add all collective tests

* add all collective tests

* mv  collective test files

* update for all collective tests

* update

* update

* update

* update for all tests

* update for checking name

* Update Cmakelists.txt

* update testlist.csv

* remain test_parallel_dygraph_dataparallel in unittests

* set broadcast op all platforms

* update

* remain test_broadcast_tensors_op

* fix

* rm some collective files

* update more colective tests

* update

* update

* update
gen_ut_supports recursion

* update

* update

* update

* update

* fix nccl version

* update

* update

* update

* update

* fix a bug and try to pass

* update

* add csv

* update for timeout

* remove tcp store

* fix

* fix

* update

* update

* update for more dist tests

* move multi node tests

* update

* update

* update

* fix for auto parallele

* update

* update path in python file

* update

* reset some test in unittests

* fix

* update readme

* fix

* update

* fix port

* irfftn; test = docutment_fix

* fft; test=document_fix

* fft; test=document_fix

* fft; test=document_fix

* subdata; test=document_fix

* adaptive_avg_pool2d; test=document_fix

* adaptive_avg_pool3d; test = document_fix

* ftt; test=document_fix

* ftt; test=document_fix

* AvgPool1D; test=document_fix

* avg_pool1d; test=document_fix

* test=document_fix

* test=document_fix

* test=document_fix

* test=document_fix

* fft; test=document_fix

* emb; test=document_fix

* emb; test=document_fix

* emb;test=document_fix

* fold; test=document_fix

* fold; test=document_fix

* fold; test=document_fix

* fold;test=document_fix

* GELU;test=document_fix

* update irfftn docs;test=document_fix

* Update fft.py

* Update fft.py

* Update common.py

* Update common.py

* Update fft.py

* Update input.py

* Update pooling.py

* dropout2d; test=document_fix

* Fold; test=document_fix

* update fold math;test=document_fix

* Update common.py
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* while support for python container.
It is convenient to convert more dynamic graph codes into static graphs.

* cond support python container

* 1. make select_input output shape = input[1]
2. add warning in while_loop risky assign

* fix 2 problem in GPT export:
1. a bug in while_op no_need_copy_var, which causes gpu memory leakage
2. a bug in undefined_var where the stop_gradient should be False.

* change name by code review

* format

* [OpAttr]axis of Reverse Support Tensor type

* fix coverage

* fix unittest

* [OpAttr]min/max of Uniform_rand support Tensor type

* fix typo

* [NPU] add run_program_op_npu

* add run_program_op_npu ut

* optimizer conv alog speed

* code polish

* remove useless code

* fix compile error

* fix cpu compile error

* not use cudnn alog t

* add search cache max number

* polish code

* fix cache test bug

* add groups data format to conv args

* fix cache test bug

* fix cudnn_deterministic bug

* fix test switch auto tune bug

* fix test swith autotune bug;

* fix conv cache bug

* fix cache test error

* fix cache test bug

* fix windows mac compile error

* fix workspace search error

* update cudnn cache

* fix cache test bug; test=develop

* fix autotune swith test error

* polish code

* oplish code

* support high order differential with data parallel overlap

* update unitest

* add python final state

* fix bug

* fix bugs

* fix bug

* fix bug

* revert impl, final state mul not support selected rows

* fix softmax use cudnn error

* add softlable false unitest

* revert loss.py

* fix utest

* fix utest

* fix utest

* fix log

* fix random utest

* [DOC FIX]fix code demo of auc

* [doc fix] fix doc of auc

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support fp16 of adam operator in xpu environment. test=kunlun

* support fp16 of adam operator in xpu environment. test=kunlun

* support fp16 of adam operator in xpu environment. test=kunlun

* Adapt minlength attr for bincount

* fixed1

* fix 2

* fixre

* test complext var

* delete logic no needed

* fix to_tensor_static

* code style

* del

* while support for python container.
It is convenient to convert more dynamic graph codes into static graphs.

* cond support python container

* add quant pass