* optimize executor log

* delete log in new exe

* add log for old executor

* use LOG_FIRST_N(INFO, 1)

* clear extra attr of activation op in opmaker

* fix syntax bug

* fix mkldnn kernel

* fix merge conflict

* fix bug

* add softmax infer kernel

* support deco

* fix deco ast type

* arg_str

* 1

* support callable deco

* code style

* codestyle

* test_error

* fix decos in another file

* recover conflict codes

* back fl

* delete ssl cert

* .

* make warning

* .

* unittest paral degree

* solve unittest

* heter & multi cloud commm ready

* .

* .

* adapt for nn fl-ps

* Enable standalone executor for single-GPU training

* Disable CompiledProgram._graph

* Fix CI errors

* adapt gradient merge

* fix op_role

* fix strategy

* add scope cache & reuse

* add gc scope for end of each train step

* del scope reuse for jit

* refine code

* test

* make memcpy op to support custom device

* fix bug

paddle::platform::CudaAtomicAdd
https://github.com/PaddlePaddle/Paddle/issues/45881

* fix softmax int64

* follow comments

* fix split bug in static mode

* modify code style

* modify code style

* add unit test for split

* Allow manaully set py_reader name in standalone executor

* Fix CI errors

* add paddle vsplit api

* update unittest and fix a typo

* update

* add vsplit to __all__

* update unit test and description of x

* fix typo

* add paddle.incubate.sparse.is_same_shape

* add paddle.incubate.sparse.is_same_shape

* add paddle.incubate.sparse.is_same_shape

* add paddle.incubate.sparse.is_same_shape

* fix doc

* add operator<< for BuildStrategy

* add fake_coalesce

* fit allreduce mode for new_exe

* remove dubeg code

* follow comments

* migrate load kernel

* remove load op

* fix test failed

* adapt lazy init and fix pass

* add unittest

* update comment

* fix amp and sharding

* remove clip_by_norm

* [CustomDevice] add dy2static support

* update

* convert_call support staticmethod for class.

* while support for python container.
It is convenient to convert more dynamic graph codes into static graphs.

* cond support python container

* add unittest for staticmethod convert_call

* fix bugs

* add unittest for item interface

* fix bugs

* change to np.testing.assert_allclose

* code format

* fix comments.

* code format

* add fusion dir and fuse_softmax_mask kernel

* remove fusion kernel dir

* migrate infershape

* fix code errror