* modify api name of ps accessor

* update

* code format

* Fix compilation error for gcc-54

* Remove const for gpuStream_t

* move WaitEvent/RecordEvent into try-catch

* refine supportNpu

* add several yaml

* polish strided slice kernel & add yaml

* reorder yaml

* add several yaml

* revert yaml config change

* resolve conflict

* Update test_strided_slice_op.py

* fix error; test=develop

* update

* close some yaml

* fix backward attrite error; test=develop

* add div test

* polish code; test=develop

* update

* update

* fix bug

* update bitwise code; test=develop

* update

* update

* fix some bug

* update

* revert cmakelist

* fix optional bug;

* fix bug

* fix bug;

* add backward test

* open bn

* update

* update

* revert eager_gen

* polish code

* fix topk error

* update

* update

* fix bug;

* move label smooth, nll loss

* revert topk

* fix topk label smooth bug;

* remove batch_norm

* remove topk

* change flip infer meta

* fix flip bug

* update yaml

* close abs

* fix histogram bug

* fix histogram bug

* add abs

* fix histogram kernel

* remove expand

* back fl

* delete ssl cert

* .

* make warning

* .

* unittest paral degree

* solve unittest

* heter & multi cloud commm ready

* .

* .

* add CUDA_TOOLKIT_ROOT_DIR option in cmake command

* make sure dir in cmake use / rather than \

* rename scalar_array to int_array

* update cmake

* fix conflict

* remove useless log

* [Yaml] Migrate sqrt/square/reciprocal yaml

* clean file

* fix unittest error

* Enhance test_eigh_op

* Use eigen decomposition to validate eigen values and vectors
* Fix that TestEighBatchAPI didn't run the batched input

* Enhance test_eigvalsh_op

* Align cusolver tolerance to validate eigenvalues
* Fix that BatchAPI didn't run the batched input

* Add abs for |d_ref|

* Remove comment

* add multiclass_nms3 converter

* fix bug that some op has no op_role attr

* add mkldnn support for new executor

* fit for mkldnn data_transfer

* fit for mkldnn data_transfer

* Pass compat of conv_transpose_bias_mkldnn_fuse_pass

* Fix a bug of strided_slice op, about the axes parameter access memory out of bounds

* Fix a bug of strided_slice op, about the axes parameter access memory out of bounds

* Fix a bug of transpose op, about accessing memory out of bounds of the perm param

* op:transpose_op supports bool type

* op:transpose_op supports bool type

* Keep strided_slice op behavior consistent with slice op when starts input is less than -rank

* Using DistConfig in inference

* no

* maintain old profiler

* exclude new python record events for old profiler

* maintain old profiler

* maintain

* maintain old profiler

* maintain

* fix cmakes

* add flatten2,reshape2,squueze2_trt_fuse_pass  test cast

* add flatten2,reshape2,squueze2_trt_fuse_pass  test cast

* add flatten2,reshape2,squueze2_trt_fuse_pass  test cast

* [New API]: miminize_bfgs and miminize_lbfgs

* modify for python module call correctly

* add functional package, add error raise in static_graph, change assign to set_value

* unify static_graph and dygraph, fix bug when x or H0 is float64

* now only accept input is tensor, put check args in utils.py, put exception test together

* temp

* add more detailed algorithm illustration and comment, reduce test case to limit test time in 15s

* change in_dygraph_mode to in_dynamic_mode

* fix bug of sample code; reduce test case to reduce test time

* change dir to incubate

* fix kps compile failed

* remove useless cond

* add xpu for xpu_kp

* mv yolov3_loss op to phi

* fix as review

* update operator.h

* fix load bug and add distributed strategy from pslib

* add unittest

* use cvm config

* trainer and worker config

* add unittest

* add unittest

* add test

* code style

* fix dependency of fused optimizer

* add ut

* no

* fix operator summary table

* update unit test

* add random varaiable transformations API for paddle's distribution package

* add TransformedDistribution API for paddle's probability distribution package

* add random variable transformation unitests for static graph

* replace math.prod which not support python3.7 with functools.reduce

* add Independent and TransformedDistribution distribution

* add unittests for constraint

* fix typo and AffineTransform sample code error

* add mean,variance,rsample abstract method for Distribution

* no

* fix bugs

* fix doc according to review

* fix api doc format

* fix api doc according to review

* fix bug and add unit test

* fix record event bug

* optimize chrome tracing display

* fix bug

* add comment

* add unit test

* fix a bug

* fix

* fix

* fix format

* [KP] fix bug in phi kp

* delete useless comment

* update

* update

* choose the xpu kp kernel in phi

* for 1st time interface combine.

* modification with kernel factory

* first auto_tune version.

* first version.

* basic version

* add warm up step.

* a debug version.

* optimize the functionality of class auto_tuner.

* add some quotes for optimized auto_tuner class.

* add some quotes for optimized auto_tuner class.

* add namespace.

* modification according to the advices

* replace fluid header with phi header.

* replace fluid header with phi header.