* add cumsum prim backward

* skip aixs=None test case

* fix op generante eror

* fix static test error

* remove unused code

* fix static test error

* skip cpu float16 test case

* skip eager cpu cumsum float16 test case

* add cinn test

* reshape flatten out

* Disable cinn single test

* remove cinn test

* reformat todo

* add prim in cumsum op test

* remove old test

* fix typro

* fix typro

* fix typro

* pass axis=None test case

* remove forward prim test

* remove same name axis

* modify install check: static graph parallel training to dynamic graph prallel training

* remove test code

* fix cyclic import

* fix typo

* fix fp16 bug of tensordot

* fix fp16 of tensordot

* fix fp16 of tensordot

* support fp16 on LocalResponseNorm

* add docs in avgpool3d

* add unittest for nn.DropOut2D

* add fp16

* add fp16 in docs of temporal_shift_op.cc

* Update test_dropout_op.py

* add silu composite rule

* fix code style.

* add silu fp16 unit test.

* forbid tensorrt_engine op's output is a persistable var

* Add flatten composite rule

* get the right xshape and pass func test

* add cinn unit test

* Remove cinn test, wait for it to be added after repair

* add comp test to test_flatten_contiguous_range_op.py

* remove func test on composite_ops

* Add comments to maybe_wrap_dim func

* remove commented code

* fix the problem with 0D tensor case

* add flatten split rule comment

* fix syntax issues

* block flatten on resnet_prim_cinn

* remove maybe_wrap_dim func

* Use none instead od xshape

* fix concat bug

* recommit for ci

* support transpose and reshape

* support reshpe, transpose, cast vjp

* merge develop

* recover unused file

* remove prim base

* support problem

* remove additional status settting

* remove additional status settting

* fix ut

* fix ut

* fix ut

* fix no grad branch

* add more test

* disable fp16 in cpu

* fix test

Unify the digital presentation of rrelu's English and Chinese Documentations.

Modify `Parameters` section of `rrelu` `s default `lower` value from `1.0 / 8.0` to `0.125`.

Modify `Parameters` section of `rrelu` `s default `upper` value from `1.0 / 3.0` to `0.3333333333333333`.

* [RM FLUID] rm parameter_server

* [rm ps] for ci

* [rm ps] for ci

* [rm ps] for ci

* [rm ps] for ci

* add inferface of get registered phi kernels

* change KernelType to KernelKey

* add test

* refactor code

* [XPU] add fp16 support for shape op.

* [XPU] add fp16 support for lookup_table_v2 op.

* update approval list: add qingshu's id.

* remove utils

* remove utils

* remove utils

* remove utils

* Update get_data_from_tensor.h

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_kernel.cc

* Update rnn_grad_kernel.cu.cc

* Update rnn_functor.h

* Update rnn_kernel.cu.cc

* Update rnn_kernel.cc

* remove utils

* Update rnn_functor.h

* remove utils

* remove utils

* remove utils

* remove utils

* remove utils

* Update rnn_functor.h

* Update unsqueeze_op.h

* Update utils.h

* roll back

* Update tensor_utils.h

* Update tensor_utils.h

* Update tensor_utils.h

* Update tensor_utils.h

* Update tensor_utils.h

* use TensorToVector

* use TensorToVector

* use TensorToVector

* use TensorToVector

* use TensorToVector

* Update rnn_kernel.cc

* Update rnn_grad_kernel.cc

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* add TensorToVector

* roll back

* Update tensor_utils.h

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update tensor_utils.h

* Update rnn_kernel.cu.cc

* Update rnn_grad_kernel.cc

* Update rnn_kernel.cc

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_grad_kernel.cc

* Update rnn_kernel.cc

* TensorCopySync to phi::Copy

* fix codestyle

* rnn_kernel.cc: add ;

* replace all GetDataFromTensor with phi::GetVectorFromTensor

* delete include of util.h

* Fix fp16 dtype checking for AvgPool1D op

* Update code style for PR-CI-Static-Check

* add sm version check

* use GetGPUComputeCapability

* [Tensor Operants & Prim] Tensor pow API uses elementwise_pow

* unittest change to fill_constant+elementwise_pow

* support fp16 on AvgPool3D

* Apply suggestions from code review