* refactor: send, recv, send_partial, recv_partial

* refactor: rm useless const ref

* [Fix][F821] fix TestUnpoolOpException

* fix TestUnpoolOpException

* fix TestUnpool3DOpException

* remove unused variables

* fix the regexp does not match the C++ traceback

* add missing error message for gpu unpool_kernel

* Revert "add missing error message for gpu unpool_kernel"

This reverts commit 17ef7a127e1c3ee00f9102c37ad8cea35953f20c.

* assertion indices_value_error errors are only reported on the CPU

* for test

* run test_exception in dygraph mode

* rm "paddle/fluid/platform/dynload/cudnn.h" in phi

* rm "paddle/fluid/platform/dynload/mklml.h" in phi

* rm "paddle/fluid/platform/dynload/rocblas.h" in phi

* replace "paddle::platform::dynload::" with "phi::dynload::" in phi

* revert "blas_impl.cu.h"

* remove locked allocator

* fix ut

* add heafer file

* Get params and grads in cpp to avoid gpu idel time

* Using python param instead of cpp return param to fix test_asp_optimize_dynamic.py

* Get grads from cpp and construct params_grads on python

* Check meta and remove comments

* remove framework/data_type.h from phi

* fix CI fail: map proto::VarType to phi::DataType

* refactor code to add more detailed comments

* Analysis API interface for disabling fc passes

* Unit tests corrected

* Python API added

* test runs only when PADDLE_WITH_MKLDNN

* Fc op changed to relu in matmul_op_test

* Disable fc passes in tests where acc drops

* code formating

* Unit test for analysisConf added

* Unit test gpu added

* fc passes disabled when iterations=0 in gru test

* style

* passes disabled when fp32 in gru test

* fc passes disabled in lstm test

* Import from inference, not fluid in doc

* fix flake8 CodeStyle E266

* fix comments

* first commit

- more fixes

- compilation fix

- compilation fix

- fix

- another fix

- yet another fix

- Fix

- fix to fused ops

- compilation fix

- compilation fix

- another compilation fix

- another fix

- fix

- fix

- fix

- fix

- yet another fix

- fix

- fix

- cosmetic fix

:- lint

- Revert some changes (to be brought back later)

- fix to build

- Added prototype of slice

- fix

compilation fix

- compilation fix

- fix

- fix

- Fix

- fix

 fix
	modified:   cmake/flags.cmake

* lint

* rerun of CI

* - Fix

* - lint

* - lint2

* generate static graph code of some op

* polish code

* fix bug

* update default value

* move fluid op generator into fluid

* remove parsed op

* resolve sig undef error

* append python interp find logic

* remove dup code

* fix paddle.get_default_dtype 

Chinese and English return values are inconsistent

* fix paddle.matmul 文档评估 #4407

把函数的输出改成正确的

* fix paddle.std文档评估 #4370

增加了一个unbiased=False的代码示例，没有增加numpy,怕引起误会。

* fix paddle.load文档测评 #4455 

只把代码拆分了5段

* try

* try

* try

* Update io.py

* Update io.py

* Update creation.py

* Update creation.py

* [Docs]add name description

* [Docs]fix broadcasting issue
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

This reverts commit 1568d64f.

* [CodeStyle][py2] remove unnecessary u-prefix in string literal

* `"{}".format(x)` -> `x`

* remove duplicated dtype literals

* revert changes in data_feeder.py

* remove u-prefix in data_feeder

* revert remove duplicated dtype literals in data_feeder

* remove unnecessary convert to str

* for test

* add some comments

* refine comment

* restore a removed str conversion

* re-trigger all ci, empty commit

* fix scale kernel configuration error where input numel is 0

* fix code stype

* add unit test case for scale op when numel of input x is zero

* fix ci codestyle check

* add cpu and gpu unit test case for scale op when numel of input x is zero

* add uninitialized judgment for input of scale

* upgrade scale and slice op convert for Paddle-TensorRT

* refine python call error report

[Auto Parallel] Sharding Optimization：Partition Algorithm & Stage2 Parameter Bucket communication  (#47180)

* partition param by order

* add logging

* reorder opt

* config

* stage2 bucket

* update unitest

* [Zero-Dim] support input 0D Tensor for sundary api

* fix comment

* softplus+activation

* fc + elementwise_add test refactored

* rename MKLDNN to OneDNN

* fc+activation tests refactored

* remove softplus ut

* whitespace

* whitespace

* codestyle

* codestyle

* add more cases to fc+act

* remove softplus+hard_sigmoid pass

* remove softplus + hard_sigmoid UT

* add approximate for gelu

* swish beta range

* new codestyle

* reduce number of tests

* [Zero-Dim] support input 0D Tensor for distribution api

* fix comment