* fix crop shape None error

* add test case

* fix testcase

* fix import

* fix testcase

* fix codestyle

* add fp16 data type for set_value

* cancel flip modification

* add fp16 dtype support for set_value

* Update README.md

* Update README.md

* Fix E713: convert 'not ... in' to 'not in'

* Update README.md

* Update README.md

* Fix F632: replace 'is', 'is not' with ==, != respectively

* Update README.md

* Update README.md

* Fix F601: only keep the last key among the same names

* Update README.md

* Update README.md

* Fix F541 by converting f-string to normal strings

* Update README.md

* Update README.md

* Fix F402 by changing the name of loop variable

* Change variable name
Change variable name 'temp_tensor' to 'var' to avoid confusion, as var
also appears in the same file.

[CodeStyle][F401] remove unused imports in python_paddle/io_costmodel_geometric_vision_static. (#46755)
Signed-off-by: Yulv-git <yulvchi@qq.com>
Signed-off-by: Yulv-git <yulvchi@qq.com>

[CodeStyle][F401] remove unused imports in python_paddle/proto_onnx_optimizer_hapi_autograd_framework. (#46754)

* add yaml entry for rnn and rrnn_grad, move infershape function for rnn_grad to phi infer meta

* WIP: move rnn kernrl to phi

* Change the code generation to avoid converting from intializer list to tuple of heterogeneous types.
This is only triggered when an api has intermediate outputs, and the result of the outputs are of heterogeneous types.

* fix the bug that when none in a vector of tensors requires gradient, the conversion to InferShapeContext to InferMetaContext (a.k.a. BuildInferMetaContext) produces errorous results.

* fix ci bugs

* fix ci bugs

* fix ci bugs

* modify code according comment
Co-authored-by: Nchenfeiyu <chenfeiyu@baidu.com>

* [CodeStyle][F401] remove unused imports in unittests/distributed_passes,tokenizer,sequence

* add noqa after required imports

* [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

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

* [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