* remove pool2d

* add cluster_partition and device_meshes to process_meshes funcs

* add unitest

* fix 'BlasAXPBY unimplemented' error with custom device

* fix utils CmakeLists bug

* rewrite delete_weight_deqquant_linear_op_encoder/decoder pass

* replace fluid.layers.matmul in fluid/io.py

* fix doc error in fluid.layers.nn.sampling_id

Reenabled ext_reorder recording for TransDataLayoutFromOneDNN

* replace layers.cross_entropy with paddle.entropy

* fix args

* fix codestyle

* [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

* rm dygraph_to_static eager guard tests part2 minst2ptb_lm

* general optimization no_varlen embedding layernorm

* [XPU] add load op into oplist.

* remove test_sampling_id_op_xpu.py

* fix english docs typo errors

the errors in docs as same as chinese pr 5468

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

* move cuda_graph from fluid to phi

* move device_memory_aligment from fluid to phi

* Revert "move device_memory_aligment from fluid to phi"

This reverts commit b92fcd39a0a50fdac13278f49be0237a85f3a13f.

* update xpu cmake

* fix-gpups

* test=document_fix

[Fluid Clean] remove unfold, deformable_roi_pooling, shard_index, hard_swish, mish, uniform_random, unbind (#48451)

*test=kunlun

* 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.

* [API Clean]Clean __all__ to avoid exposing usless API

* fix import

* fix typo

* remove tracedLayer unittest

* remove bbox_util.h from phi

* add file bbox_util.h

* reframe bbox_util.h

* add onehot trt converter

* add unitest

* fix bug

* opt code

* fix bug

* fix depth_tensor

* fix unitest

* fix bug

* fix unitest

* fix bug

* fix bug

* fix bug

* fix bug

* Merge branch 'reduce_sum' of https://github.com/GhostScreaming/Paddle into mine_fluid_clean_common.

* Fix some bugs.

* Clean APIs in python/paddle/fluid/layers/control_flow.py

* Polish code style.

* Change API.

* Fix some bugs.

* Fix some bugs.

Remove fluid dygrah apis
GroupNorm
TreeConv
Move fluid dygraph apis
Flatten
SpectralNorm