* reduce time cost on atomic in interpretercore

* clear code of PrepareAtomic in interpretercore

* refine threadpool cache

* fix fc pattern

remove use_bias
add residual input switch
fix references to pattern

* review fixes

* Add methods that find input or output name by var name

* kind of bugfix - initialize variables

* ci fix

* review fixed

* [Auto Parallel] Unify the logger and outputs of Engine API

* [Auto Parallel] Fix the bugs of to_static

* [Auto Parallel] Adjust the test_to_static.py

* fix embedding fused

* preln_res_bias_layernorm bugfix unroll opt

* code style refine

* NOLINT for codestyle

make fused_multi_transformer support dynamically set the cache_kvs' shape and support input prefix_caches. (#46777)

* make fused_multi_transformer support dynamically set the cache_kvs' shape and support input prefix_caches.

* add LogNormal API

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* add comment

* fix bug

* fix docs

* fix bug

* fix bug

* fix bug

* add test

* add test

* change the args type of Normal sample

* fix bug

* fix bug

* fix bug

* fix bug

* add test

* add test

* format

* add comment

* add comment

* add comment

* add comment

* format code

* fix bug

* fix bug

* fix bug

* add comment

* remove name parameter for LogNormal

* organize imports

* delete_quantize_headerfile

* delete_requantize_headerfile

* [docs] add ipustrategy Hyperlink

* fix ipu_shard_guard docs; test=document_fix

* [docs] add set_ipu_shard note

* [docs] fix hyperlink

* update framework.py

* fix mlu_places docs; test=document_fix

* fix put_along_axis docs; test=document_fix

* fix flake8 W293 error, test=document_fix

* fix typo in typing, test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* op migrated, Copy(OneDNNContext, ...) added

* mutable_data & op registration in fluid removed

* refactoring

* OneDNNGetDataType to uppercase

* missing cpu check added, handler moved to .h file

* name changed to transpose_grad

* Copy changed back to TensorCopy

* Resizing corrected, Copy(OneDNNContext) removed

* fix:gather op

* add ut

support fp16 for deformable conv

* it is a test

* it is a test

* it is a test,test=coverage

* optimizing the proceess of generating ut_file_map.json

* optimizing the proceess of generating ut_file_map.json

* optimizing the proceess of generating ut_file_map.json

* optimizing the proceess of generating ut_file_map.json

* fix fp16

* remove debug info

* code style refine

* enable hard_swish_grad unit test

* remove unused argument