[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

[inference][cherrypick] Implement layer_norm op using INormalization Layer and conv_fusion support bias's rank equal to input's rank  (#54590)

* [inference]conv_fusion support bias's rank equal to input's rank (#54477)

* support bias's rank equal to input's rank

* [inference][trt]layer_norm op with dynamic shape support INormalizationLayer in TRT8.6 (#54379)

* layer_norm op with dynamic shape support INormalizationLayer in TRT8.6

* Using trt layer to make layers_norm op in lower than trt8.6
layer_norm op with dynamic shape support INormalizationLayer in TRT8.6

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Co-authored-by: Nbukejiyu <52310069+bukejiyu@users.noreply.github.com>

* Fix compilation error by using thrust

* fix

* 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>

Support code generation for op conv2d_transpose, conv3d_transpose, depthwise_conv2d_transpose (#54242)

* update

* update eager_gen

* update

* rm intermediate

* optimize logsumexp in small data scale

* fix

* fix

* add #pragma once

* swith to use aligned_vector and support arbitrarily shape

* fix store

* fix store

* refine for special cases

* try

* fix

* update

* fix

* fix all_reduce

* try

* fix rocm bug

* fix rocm bug

* fix rocm bug

* fix rocm bug

* fix rocm bug

* fix rocm bug

* fix rocm bug

* fix rocm bug

* remove reduce_sum_op.h

* support auto generate for static op reduce_sum

* remove reduce_sum_op in CMakeLists.txt

* add vector type support for program translator

* polish

* support basic attribute type

* resolve conflicts

* add verify for combine/slice and unittests

* polish

* support more type in attribute translator

* modify by reviews

* fix merge mistakes

* refine code

* refine code

* add interface

* fix: op name normalization

* fix typo

* refactor input translator

* fix merge conflicts

* fix op normalizer bug

* refactor attribute translator

* fix bug

* refactor output translator

* fix typo

* fix

* fix approval error

* fix coverage

* fix op_compat parser

* fix merge conflicts

* fix merge conflicts

* fix merge conflicts

* fix merge conflicts

* fix merge conflicts

* revert some changes

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Co-authored-by: Nzhangbo9674 <zhangbo54@baidu.com>

* decouple reduce_any_op.h and reduce_op.h from reduce_any_op.cc

* support auto generate for static op reduce_any

* fix mac typeinfo bugs

* add file

* move code to cc

* fix compile bugs

* 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

* Optimize perf of broadcast matmul

* support more dtype

* support master_grad for adam and momentum

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

* static graph autogen code for shape op

* fix onednn

* fix onednn

* add build

* add build

* refine code

* refine code

* refine code

* refine code

* refine interface

* fix bug

* fix bug

* fix bug

* refine yaml

* [ROCM] fix multihead_matmul

* skip bf16 uts

* update

* static graph autogen code for check_finite_and_unscale_ op

* bug fixed