* rm unittests eager guard tests part9 histogram2imperative_dataloader

* rm basic

* add condition of skipif

* fix code format error

* Update test_fused_gate_attention_op.py

update

* remove dropout

* Deleted mkldnn_inplace_pass code

* Fixed error with cmake

* Resolve conflicts

* add more unary op and square

* 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>

* fix rmsprop_ yaml bug

* remove non-public apis from __all__

* fix code style

* isort jit

* refine comment

* save fused_attention memory when dropout_rate = 0.0

* add ut

* fix ut bug

* fix fused_layernorm_residual_dropout_bias_test.cu

* add static RandomVerticalFlip

* object => unittest.TestCase

* remove linear_chain_crf and crf_decoding

* fluid clean layer

* docs

* [api move] cvm

* [api move] cvm

* [api move] cvm

* [api move] cvm

* [api move] cvm

* [api move] cvm

* [api move] cvm

* [api move] ci test

* [api move] ci test

* [api move] ci test

* - UT reshape onednn

- Fix

test

test2

- test4

- test5

- test6

test7

- test8

- Ut reinvented

- cosmetic

* - fix

* - fix

* - fix

* - fix

* - Fix

* - fix

* - fix

* - fix

* - Fix

* lint

* move BatchNorm from flud.dygraph.nn to paddle.nn.layer.norm

* modfiy conflict

* modify pre-commit error

* modify static-check ci error

* fix failed tests

* modify conflict

* modify conflict

* delete import modelu GRUUnit

* fix falied test

* fix failed testes

* fix failed tests

* fix failed tests

* fix failed test

* fix error in test_fused_resenet_basic_block_op_xpu.py

* modify after xiaoguang reviewed

* rm multinode eager guard tests

* remove unwanted tests

* reset process_mpi test

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

* add import paddle to fix eval call

* add inner function _elementwise_op_with_axis

* fix transformer_model

* polish API code

* remove elementwise_div/mul api

* delete API in __all__

* delete elementwise_mul completely

* polish elementwise_mul call

* polish internal api

* resolve conflict, fix rnn.py

* use non-inplace call

* delete elementwise_mul api test

* delete elementwise_mul api test

* clean elementwise_add/sub

* restore _elementwise_op_in_dygraph in nn.py

* Enable to print device info.

* Enhance the nan and inf checking for cpu.

* Implement a common print function.

* Unify the check of complex numbers.

* Rewrite the omp method.

* Count and print the number of nan and inf.

* Change the print content.

* Add unittest.

* Add UT

* Support cross-step stream synchronization for standalone executor

* Fix typos

* Fix typos

* Update UTs

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

* update

* [remove fluid] fluid dygraph Embedding

* [remove fluid] fluid dygraph Embedding

* [remove fluid] fluid dygraph Embedding

* [remove fluid] fluid dygraph Embedding

* [remove fluid] fluid dygraph Embedding

* [remove fluid] fluid dygraph Embedding

* Add cast between int64 tensor and Paddle-TRT
* Add Unit testing.