* fix fetch list

* fix unittest

* calculate_gain; test=document_fix

* Constant; test=document_fix

* KaimingNormal; test=document_fix

* KaimingUniform; test=document_fix

* randint; test=document_fix

* squeeze;test=document_fix

* argmin; test=document_fix

* argmin; test=document_fix

* triu; test=document_fix

* add_n;test=document_fix

* unique; test=document_fix

* topk; test=document_fix

* squeeze;test=document_fix

* randint;test=document_fix

* argmin; test=document_fix

* constant; test=document_fix

* constant; test=document_fix

* KaimingNormal; test=document_fix

* kaiming; test=document_fix

* unique; test=document_fix

* gpups default config and dataset

* codestyle

* add unittest

* code style

* 'TripletMarginDistanceLoss'

* 'test_file'

* '2022_03_27'

* 2022-03-31

* 2022-04-05

* 2

* 2022-04-17

* 2022-04-17_2

* 2022-04-17_3

* 2022-04-17_4

* 2022-04-25

* 2022-05-02_V1

* 2022-05-06_V1

* 2022-05-07_V1

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* 2022-06-01_pre-commit

* 2022-06-05

* 2022-06-06

* 2022-06-07

* 2022-06-07_V2

* Refine covnert_var_shape in dy2st

* Fix UT error

* Return paddle.shape only when has_negative and fix test_tensor_shape error

* Fix test_jit_save_load error

* support set_grad_ivar for eager

* support set_grad_ivar for eager

* support set_grad_ivar for eager

* use GpuMemcpy and GpuMemset

* sparse convert kernel support double dispatch by indices dtype

* cudaMemcpyKind->gpuMemcpyKind

* [Dy2Stat]Remove fluid.layers in transformer code

* remove useless return_name_vars

* fix unittest

* fix unittest

* fix unittest

* fix depthwise conv yaml error

* fix depthwise conv double grad error

* change tensor name

* fix unittest bugs

* add unary ops

* move to activation_ops

* Add option for test executor profiler

* Change option for test executor_profiler

* Re-implemented check_finite_and_unscale_op  with newly added xdnn api
*test=kunlun

* Re-implemented check_finite_and_unscale_op  with newly added xdnn api

*test=kunlun

* fix structure infos conflict in static return_list mode. test=develop

* add nproc_per_node for DistributedFusedLamb

* fix nproc_per_node communicator bug

* fix ring_id = 1 init bug

* fix ci

* fix test_parallel_executor_mnist.py

[Dy2Stat]Add apply_optimization for @to_static and remove BreakTransformOptimizer by default (#43320)

* [Dy2Stat]Add apply_optimization for @to_static and remove BreakTransformOptimizer by default

* fix unittest

Co-authored-by: NLiu Yiqun <liuyiqun01@baidu.com>

* [Dy2stat]Add RollBack into original dygraph function for @to_static

* fix unittest

* [Dy2Stat]Support deepcopy Net instance after @to_static

* add fetch_list

* fix evaluate log

* tiny fix

* add paddle.optimizer.lr.CyclicLR

* add unittest of CyclicLR

* fix code format

* fix bug

* try

* fix CI-Coverage

* fix ValueError

* fix arguments assgin

* fix code format and retry pulling develop to pass ci

* fix typo

* Refactor

* fix function-redefined in test_lr_scheduler.py

* update

* fix conflict

* update

* gamma->exp_gamma

* polish docs

* fix code-style

* adjust code format again

* change format of __all__ in lr.py

【Hackathon No.17】为 Paddle 新增 paddle.nn.CosineEmbeddingLoss 和 paddle.nn.functional.cosine_embedding_loss API (#41680)

* add cosine embedding loss API

* new version

* new version

* new version

* set label to int32

* new version

* new version-test

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* new version

* aligning to Chinese document

* add name parameter

* activate CI

* fix format error

* unit test code format

* format code