* 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

* fix stride_slice bug

* fix bug

* 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 the bug of slice op and optimize the code style of generate_proposals_v2 op for kunlun. *test=kunlun (#43380)

* Fix cmakelint errors for generic.cmake

* Fix cmake errors

* fix depthwise conv yaml error

* fix depthwise conv double grad error

* change tensor name

* fix unittest bugs

* make all phi kernels to 2(host/device) static libraries directly

* fix calling kernel_declare

* fix compile

* fix cpu compile

* fix rocm compile

* fix xpu compile

* fix xpu kp compile

* fix inference compile

* add new field for event node

* fix

* fix bug

* fix bug

* fix clang

* fix clang format

* fix code format

* add unary ops

* move to activation_ops

* Add option for test executor profiler

* Change option for test executor_profiler

* Refactor DeviceContextPool

* Adjust header file order

* 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

* fix some matmul that X and Y both other ops outputs, do not dequantize the Y.

* fix CI format

* fix according to review

* 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