[cherry-pick 2.5][Zero-Dim] paddle.nanmedian/count_nonzero/logspace support 0D, add some 0D case (#54649)

* [Zero-Dim] add 0D test case (#54581)

* [Zero-Dim] paddle.nanmedian/nanquantile support 0D Tensor (#54500)

* [Zero-Dim] paddle.nanmedian support 0D Tensor

* fix CI

AMP 动静态图黑名单统一

* [Distributed] Add pipeline opt memory (#54505)

* fix bug of release output in pp

* replace requests with httpx

* set timeout=3

* replace requests with httpx

* replace request with httpx

* test

* repalce requests with httpx

* test

* replace requests with httpx

* replace requests with httpx

* modify paddle_build.sh

* fix bug

* add ldexp api

* fix ldexp

* Update math.py

fix math.py

* rewrite the ldexp

* Simplify ldexp implementation

* fix codestyle

* Update math.py

* Update math.py

* modify the test_ldexp.py

* fix the input bug of np.ldexp

* fix the bug of np.ldexp in windows

* modify the ldexp function and add the dtype check of output

* Update test_ldexp.py

* fix the dtype

* fix codestyle

* Update python/paddle/tensor/math.py

add note for code description
Co-authored-by: Nzachary sun <70642955+sunzhongkai588@users.noreply.github.com>

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Co-authored-by: Nzachary sun <70642955+sunzhongkai588@users.noreply.github.com>

* [AutoParallel] fix sharding for 0D tensor and amp-o1

* add amp for sharding unittest

* sharding pp overlap

* bug fix

* update

* rename function

* update code logic

* feat: added polygamma init code

* feat: added polygamma unittest code

* test: added more test cases

* refactor: added forward impl

* refactor: added backward impl

* test: updated cases

* refactor: updated test cases

* refactor: added more case and fixed some bugs

* test: updated ref func

* refactor: updated code style

* refactor: move the code

* refactor: updated test

* refactor: updated test

* docs: updated en doc
Co-authored-by: Nzachary sun <70642955+sunzhongkai588@users.noreply.github.com>

* docs: updated math eq

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Co-authored-by: Nzachary sun <70642955+sunzhongkai588@users.noreply.github.com>

* add fp&bf16 bernoulli

* add check_dtype & fix error

* fix rocm error

* floor div support float/double/bfloat16/float16

* add ut

* fix bug

* fix fft.ifftshift for floor_divide upgrade

* fix comment

* fix bugs

* fix bug

* [IR] delete_wrapper

* [IR] modify the ast_transformer core logic

* [fix] modify the test_origin_info

* [AutoParallel] add 1F1B

* rm amp

* support master_grad for adam and momentum

Co-authored-by: zhangting_2017@163.com <zhangting2020>

* support layer_norm prim op bf16 dtype

* polish code

* resolve conflict

* static graph autogen code for check_finite_and_unscale_ op

* bug fixed

* [AutoParallel] update while control_flow with pipeline

* update process group instantiate

* fix micro_bsz for reshard

* update api for micro batch size

* add strategy for dp optimization

* mv all unittests test

* fix error

* fix error

* fix

* fix

* del unittests

* fix paddle_build.sh

* fix

* fix test

* fix add test

* fix

* fix

* fix

* merge develop

* fix

* fix

* fix

* fix

* fix

* merge develop

* fix test_async_read_write

* fix test_async_read_write

* merge develop

* fix

* fix import legacy_test

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix bug

* fix

* fix coverage test bug

* fix

* fix

* fix

* fix

* fix

* fix code sstyle

* fix code

* fix code

* fix

* fix

* fix

* del test_sequence_enumerate_op.py

* fix

This reverts commit 4bcb5cc4.

* support activation prim op bf16 dtype

* remove useless code

* add deal with np.int type

* add assertEqual for dtype.

* fix bug

* fix by comment

* fix np.integer.

* fix the strong Wolfe conditions for line search

* pass the max_line_search_iters parameter into line search method (strong_wolfe)

* Reimplement the check_nan_inf function as check_numerics kernel.

* Remove the cpu implemention to phi.

* Add ifdef for the including of omp.h.

* Move the use of FLAGS_check_nan_inf_level out of header file.

* Implement a common PrintAndThrowError function.

* Fix the error using of __NVCC__, which should be instead with __CUDA_ARCH__.

* Add dependency of phi.

* Polish codes and unittest.

* modify gradOpMaker

* modify concat bug

* modify concat bug

* delete unnecessary block

* modify fill_any_like value from 1 to 0

* modify fill_any_like dtype from other to -1

* ci_bug