* 1st commit

* fix usless change in header transpose_kernel_h file

* add sync

* Fix cond_block_grad error when handle no need grad vras

* Add comment and UT

* addmm supports 1-d input

* fix coverage

* fix

* more ut

* make data transform inplace when tensor is on gpupinned in new dygraph

* fix unittest

* fix alltoall

* rename utest

* support is empty

* fix error

* fix code error

* change to fake empty

* using fake empty first

* using fake empty first

* refactor the optional tensor

* remove optiona<MetaTensor> in InferMeta

* fix bug

* fix optional<vector<Tensor>>

* fix bug

* fix rmsprop

* fix amp of eager_gen

* polish code

* fix deleted code

* fix merge conflict

* polish code

* remove is_nullopt_

* fix merge conflict

* fix merge conflict

* [Dy2Stat]Replace paddle.jit.dy2stat with _jst

* [Dy2Stat]Replace paddle.jit.dy2stat with _jst

* refine code style

* refine code style

* refine trunc uinttest

* refine unittest

* refine ut

* refine fp64 grad check

* experimental nvcc-lazy-module-loading

* remove two empty last line from two files

* Support memory stats for CPU

* Add UTs

* Fix typos

* Fix typos

delete id 0 in gpups

* move instance_norm

* change mutable_data

* fix compile bugs

* added support for md in more ops

* fixed typo

PR types
Bug fixes

PR changes
Docs

Describe
修复 paddle.metric.accuracy 文档，对应的中文文档修复为 https://github.com/PaddlePaddle/docs/pull/4811
the file was editted based on the discussion in the issue:
INT32 Failed on paddle.metric.accuracy: https://github.com/PaddlePaddle/Paddle/issues/42845

* fix maybe-uninitialized warning

* fix compile

* fix xpu compile

* fix npu compile

* fix infer compile

* fix compile

* fix compile

* change logic for optimize

* modifty

* optimize the backward speed of EinsumOp

* add cache optimizer for einsum op

* EinsumOp: fix new dygraph mode error

* fix bug

* change Cache->InnerCache

* fix code

* fix

* add nan inf utils for einsum op

* add as_extra

* Compatible with v2.3 EinsumOp

* remove dispensable

* Dynamic graph support to Automatic SParsity.

1. Added dynamic support to ASP module (paddle.fluid.contrib.sparsity).
2. Added ASP related unit-tests regards to above changes.
3. Put ASP module under paddle.static for now, waiting for APIs confirmation from Paddle.

* Modified documents of functions to have correct examples.

* Update in_dygraph_mode to paddle.in_dynamic_mode()

* Modified documents of functions and added comments

* Minor changes.

* Fix example errors in asp API.

* Code Change for Review

1. Added more examples in documents.
2. Chaged test_asp_pruning_static.

* Minor changes

* Update ASP function documents.

* Update ASP function documents.

* Reduce test case size of asp pruning due CI time limit.

* Update time limitation to some asp UTs.

* Fix sample code errors.

* Fix sample code errors.

* Fix sample code errors.

* Update time limitation to parts of ASP UTs.

* Update UTs to fit with CI.

* Reduce problem size in python/paddle/fluid/tests/unittests/asp/test_fleet_with_asp_dynamic.py

* Added paddle.asp

* Fixed type casting error of OpRole.Optimize in new dygraph mode.

* Made set_excluded_layers be compatible with 2.2

* Fix example code of calculate_density.

* Update code examples.

* Move paddle.asp to paddle.incubate.asp

* Fixed an example error of calculate_density

* fix_sharding3_offload

* fix_fp16dtype_bug