* [Zero-Dim] fix functool.reduce more safe with intial value, to support empty list (#53182)

* [Zero-Dim] support 0d tensor for shape and squeeze onednn kernel (#52832)

* support 0d tensor for shape and squeeze onednn kernel

* set python api for shape op ut

* [Zero-Dim] distributed scatter/all_to_all support input 0D tensor (#53186)

* [Zero-Dim] Support paddle.sum/mean/loss api output 0D,test=allcase (#52739)

* [CINN Support 0D-Tensor] CINN supports 0D-Tensor with trick temporarily (#53382)

* [CINN Support 0D-Tensor] CINN supports 0D-Tensor with trick temporarily

* Add unittest

* [CINN Support 0D-Tensor] CINN hack squeeze2 with trick temporarily (#53454)

* fix test_autograd_dynamic (#53473)
Co-authored-by: Nzhwesky2010 <zhouwei25@baidu.com>

---------
Co-authored-by: NYangQun <qun.yang@intel.com>
Co-authored-by: NHongyuJia <jiahongyu@baidu.com>
Co-authored-by: NHydrogenSulfate <490868991@qq.com>

* support 0-D output and 0-D as indice in __getitem__

* fix tests

* fix inference and UT

* add unittest for setitem

* fix xpu test

* fix xpu 0-d

* fix right value is 0d and index is List/Tensor

* Hack__getitem__ from 0-d to 1-d with FLAGS_set_to_1d

* change PHI_DECLARE_xxx to DECLARE_xxx since the change not merged to 2.5

* hack 1-D tensor to Scalar

* throw warning at __getitem__, not slice_utils

This reverts commit a79c04f3.

* support 0-D output and 0-D as indice in __getitem__

* fix tests

* fix inference and UT

* add unittest for setitem

* fix xpu test

* fix xpu 0-d

* move python/paddle/fluid/tests/unittests/xpu to test/xpu

* update CMakeLists.txt

* remove xpu in fluid/tests/unittests/

* add path to op_test_xpu

* fix incorrect path

* update test script

* fix test_adadelta_op_xpu error

* Add unitest from shilong

* Add kernel code from shilong

* fix codestyle

* add broadcast_shape test

* fix unitest

* fix unitests

* fix unitest

* add 0D grad support

* add 0D grad support

* add 0D grad support

* fix 0D tensor

* fix 0D

* fix xpu 0D

* fix expand kernel

* fix xpu expand

* Fix 0D kernel

* fix 0D

* fix 0D

* fix 0D

* fix 0D

* fix XPU top_k

* cancel the modify of xpu

* add XPU 0D tensor

* fix 0D

* xpu scatter ut no backward

* update gather xpu ut

* fix 0-d tensor for arg_min_max op.

* fix xpu.

* fix zero dims

* fix

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* Update test_zero_dim_tensor.py

* Update test_zero_dim_tensor_xpu.py

* Update test_zero_dim_tensor.py

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* support 0d tensor for interpolate

* support 0d tensor for interpolate

* add xpu unittest for interp

* update unittest for interpolate

* fix coverage

* fix code style

* fix for coverage

* fix coverage

* rm flags_retain grad in pybind

* retain grads for xpu test

* set retain grad for xpu

* rm flag

* lint

---------
Co-authored-by: Nwanghuancoder <wanghuan29@baidu.com>

* [Zero-Dim] support input 0D for paddle.moveaxis/quantile

* fix CI

* add unsqueeze test case

* add unsqueeze xpu test case

* fix unsqueeze test case

* fix unsqueeze test case

* fix unsqueeze test case

* fix unsqueeze test case

* add retain_grads

* Add the cumsum 0d tensor

* xpu and cpu judge the 0d  tensor

* change to 2022 to 2023 in new commit

* fix the reverse logic

* [Zero-Dim] Support input 0D Tensor for masked_select

* add zero dims test

* update code

* fix zero dims

* update code

* add where, atan2, median 0d ut

* add where, atan2, median 0d ut

* update

* update

* update

* fix xpu unittest issue: zero_dim_tensor

* deal with leftout issue introduced by #49470

* rm retain_grad_flag for tests

* modify transpose op

* retain grads for xpu tests

* lint

* modify xpu test

* [Zero-Dim] support input 0D Tensor for maximum,minimum,allclose,sigmoid_focal_loss

* [Zero-Dim] add backward test for sigmoid_focal_loss with 0-D input Tensor

* zero-tensor

* remove unused

* zero_dim_xpu

* relocate

* add value test

* fix syntax

* flatten op support 0D-tensor

* add test in zero dim py

* fix shape should be list

* short code for ci-coverage

* add backward test

* simple code for ci coverage

* add axis check

* add 0D-tensor test in test_flatten_contiguous_range_op.py

* add axis error test for Coverage CI

* add more test for CI-Coverage

* add more test for CI-Coverage

* support 0D for paddle.sort/argsort

* support 0D tensor for paddle.sort/argsort in xpu

* fix bug

* fix grad and add value assertion

* [Zero-Dim] reshape/reshape_/reverse 0D support

* rm comment

* change paddle.to_tensor to paddle.full

* fix docs

* update paddle.full

* [Zero-Dim] Support 0D for paddle.diagflat