* add missing proto file

* fix windows ci

* fix ci compile error

[CustomDevice] registering feed_dense_tensor, feed_sparse_coo_tensor, feed_strings kernels for custom device (#50042)

* [CustomDevice] registering feed_dense_tensor, feed_sparse_coo_tensor, feed_strings kernels for custom device

* update

* update

* update

* remove max_slot_num

* fix test case

* [CINN] collect inplace var into cinn op desc's kInplaceVarNames attribute

* attr move from op desc to subgraph

* GetFetchIds from var_map instead of var_model_to_program_map_

* update tril unbind ops for eager tests

* add eager op test

* reset unbind

* lint

* lint

* rm eager checker

* copyright 2018->2023

* fix xpu unitest error

* fix xpu unitest error

* fix div 0 error of fftfreq

* fix div 0 error of fftfreq

* bug fix

* add 'n' value check

Co-authored-by: Nzhangbopd <1299246947@qq.com>

* fix for matmul_grad

* another fix for matmul_grad

* fix

* update xccl lib & use native Reduce in dygraph

* minor

* replace paddle.fluid.layers.data and remove io.data

* partial commit

* partial commit

* partial commit

* partial commit

* partial commit

* partial commit

* remove data in fluid.layers.io.__all__

* fix errors

* fix unitests

* fix unitest

* fix unitests

* fix unitest

* fix unitest

* fix unitests

* fix unitest

* fix test_layers unitests

* fix typro

* fix unitest

* fix unitest

* fix unitest

* fix typro

* fix unitest test_model_cast_to_bf16

* fix test_reducescatter

* fix collective unitest

* fix collective unitests

* fix collective unitests

* add coverage

* fix add layers.data

* re run ci

* fix some typro

* fix samplecode error

* fix samplecode error

* fix queeze_ bug

* fix slove use squeeze_kernel

* fix slove use squeeze_kernel

* fix slove use squeeze_kernel

* add test case

* modify name

* merge develop

* fix param

* fix exp gen bug

* fix sum_grad

* comment

* [KUNLUN] add op: maxpool_with_index

* use DeviceContext::Alloc() instead of DenseTensor::mutable_data()

* fix file format

* solve clip unittest failure

* minor fix

* Revert "solve clip unittest failure" since the issue is fixed
in #49535

This reverts commit 1127adc66e79afe35ac3c00bb34e6aaa7cd7d78b.

* align with xdnn on the definition of mask in max_pool_with_index

* minor

* support PaddlePaddle Backend on Triton

* fix test cases

* fix Codestyle

* add test case

* add test case

* extract fuse pass logic to header file

* adjust namespaces

* Update paddle/fluid/framework/ir/mkldnn/activation_onednn_fuse_pass.h

update date
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* add inline remove static
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* add align check

* refine

* fix cast issue

* add ut

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

* fix CI

* add reduce_sum_int64 and reduce_sum_int8 xpu kernels

* [PHI] add clip grad kernel with support type float32 and int32

* [PHI unittest] add clip_grad unit test

* adapt code to clang-format

* update xpu api output with clip_grad api

* remove int8 support of reduce_sum xpu kernel since it can not pass unit tests

* adapt license date, add code for XPUDataType convertion

* add int8 support of reduce_sum

* add reduce_sum unit tests for dtype int64, int8, and add more test cases

* update license date

* remove buggy bitwise and, or and xor xpu kernels, refine bitwise not xpu kernel

* change license date

* 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

Modify English Doc of ControlFlow APIs for Scalar Tensor

Corresponding Chinese Doc PR: https://github.com/PaddlePaddle/docs/pull/5588

* support paddle.t 0d tensor

* fix paddle.t test case

* merge from develop

* Add the cumsum 0d tensor

* xpu and cpu judge the 0d  tensor

* change to 2022 to 2023 in new commit

* fix the reverse logic

* revert to use default XPU stream for computing

XPUContext now has a null stream by default. If you want to use a separate stream
 (e.g. in async collective communication), you should create a dedicated XPUContext
and invoke its XPUContext::CreateStream()

* minor

Followed PR https://github.com/PaddlePaddle/Paddle/pull/49842 , added Digraph and Shape unit test for `case` and `switch_case`. This PR only contained test changes because `case` and `switch_case` call `cond`. The PR https://github.com/PaddlePaddle/Paddle/pull/49842 has already solved the 0d tensor support.