* 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

* fix some transformer unitest

This reverts commit 592ed40b.

* fit paddle.matmul in fleetx.gpt

* - UT reshape onednn

- Fix

test

test2

- test4

- test5

- test6

test7

- test8

- Ut reinvented

- cosmetic

* - fix

* - fix

* - fix

* - fix

* - Fix

* - fix

* - fix

* - fix

* - Fix

* lint

* [Setup] Ignore @PADDLE_BINARY_DIR@ files

* test=document_fix

* 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

* add new tensor

* fix windows compile bugs

* fix ci bugs

* fix ci bugs

* fix ci bugs

* perfect according comment

* fix ci compile bugs

* add raw tensor

* fix ci bugs

* modify code by comment

* delete String

* 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

* test approve ,test=document_fix

* test approve ,test=document_fix

* test approve ,test=document_fix

* 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

* replace dependency of inclusive_scan.h from phi

* format code

* fix codestyle

* add double complex<float> complex<double> dtype support for syevj_batched

* fix use_syevj flag for precision loss when input dtype of syevj_batch is complex128 in some case

* optimize eigh in different case

* fix missing ; bug

* fix use_syevj bug

* fix use_cusolver_syevj_batched flag

* fix: there are some bugs with trt 8.0

* fix:windows CI trt is too old

* OneDNN version of Copy, tranpose kernels adjusted

* style fixes in tranpose_grad

* redundant headers deleted

* 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.

* move norm_utils.cu.h from fluid to phi

* remove norm_utils.h in fluid

* fix bugs and replace mutable_data with Alloc

* replace mutable_data with Alloc