* del array_write & array_read

* fix import err

* fix import err

* fix example codes

* [AutoParallel] recompute tuning

* fix conflict

* update comment

* bug fix

* update rc algo

* tiny fix

* fix clear process_group

* remove comment

* update segment print

* fix import OpRole

* adapt amp pass and grad_clip pass for opt_tuner

* update tuning config

* fix import

* annotate recompute info on ops and upgrade recompute pass

* add op_namescope for seed op

* record reserved vars

* fix recompute var's dist_attr

* fix strategy unittest

* adapt for fp16

* update unittest

* revert copy opt

* update unittest

* rename set_recompute_segments

* fix unittest

* recompute dep filter param

* recompute dep for reshard

* first pr

* Revise nn.py

* Revise nn.py 2.0

* Revise rnn.py;test=document_fix

* test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* [CodeStyle][isort][F401] fix some regression issues

* add import paddle to fix eval call

* support sharding in fp16 on xpu, change reduce_max to reduce_sum for found nan or inf

* update

* add cluster_partition and device_meshes to process_meshes funcs

* add unitest

* [remove fluid] under unittesets of linear api

* [remove fluid] under unittesets of linear api

* [remove fluid] under unittesets of linear api

* [remove fluid] under unittesets of linear api

* [remove fluid] under unittesets of linear api

* [remove fluid] under unittesets of linear api

* [remove fluid] fluid dygrapn linear api

* [remove fluid] fluid dygrapn linear api

* [remove fluid] fluid dygrapn linear api

* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result
is wrong.

* Remove climits.

* Clean fluid API in paddle/distributed and paddle/fleetx folders.
Include following files:
python/paddle/distributed/__init__.py
python/paddle/distributed/collective.py
python/paddle/distributed/fleet/utils/fs.py
python/paddle/distributed/fleet/utils/hybrid_parallel_inference.py
python/paddle/distributed/fleet/utils/hybrid_parallel_util.py
python/paddle/distributed/fleet/utils/internal_storage.py
python/paddle/distributed/launch/context/device.py
python/paddle/distributed/parallel.py
python/paddle/distributed/parallel_with_gloo.py
python/paddle/distributed/spawn.py
python/paddle/framework/__init__.py
To be mentioned, 'paddle.fluid.dygraph.parallel.ParallelEnv'
 and 'fluid.framework.core' keeps unchanged in those files.
ParallelEnv is used by paddle.fluid.dygraph.parallel.DataParallel.
However, APIs in paddle.fluid.dygraph.parallel can't be
migrated to paddle.distributed, as there exists cyclic import
dependencies in modules like paddle.static, paddle.tensor. And
'fluid.framework.core' will be changed to import framework.core
after fluid.core is transmitted.

* Change TODO authors.

* Fix fuse_gemm_epilogue

* update tests

* Update CMakeLists.txt

* Update CMakeLists.txt

* Update CMakeLists.txt

* fix random seed

* use assert_allclose

* Update test_dist_fuse_gemm_epilogue_pass.py

* Update cpp_pass.py

* Update test_dist_fuse_gemm_epilogue_pass.py

* fix codestyle

* update seed and atol

* mv accuracy and auc

* rm distributions

* rm get_places

* replace metric

* fix recompute for stop_gradient and inpalce

* fix ut

* update

* add pattern match

* add unittest

* isort all files

* revert conflicting files

* revert conflicting files

* revert conflicting files

* add depend

* add origin amp files

* fp16 distinguish None & False

* engine log

* dp add deps for graph exe

* add dep for grad clip

* dep ops in comm stream

* unitest

* [Fluid Clean] Migrate program_translate.py/jit.py into paddle.jit dir

* remove fluid

* update public

* core

* public

* public1

* ci

* refactor: move wait

* refactor: move barrier

* fix: fix incorrect import

* add pattern for auto search

* add unittest

* remove fluid.reduce_sum

* remove fluid.reduce_sum

* modify axis and import paddle

* modify keepdim and out_name

* modift unittest

* modift unittest

* modify CI_static and loss.py

* modify test_mse_loss

* modify static ci

* modify static ci datatype

* add import paddle in test

* fix conflict

* fix conflict

* modify ci

* modify ci

* fix_conflict

* fix bug

* code_style

* support xpu scalar inplace

* sharding for xpu

* update

* update
Co-authored-by: Nheyanru <81976792+heyanru01@users.noreply.github.com>

* refactor: move all_gather