* 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.

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

* add test for composite with dy2st

* add more log

* refine munmap freq for ref_cnt_mmap_allocator

* add shm reuse logic

* fix compile bug

* fix compile bug

* fix bug of file refcount

* fix compile bug

* fix compile bug

* refine code for delete shm case

* polish code

* refine shm cache pool size setting logic

* set buffer is 2

* refine shm cache size logic

* refine max shm cache

* refine shm cache size

* rebase merge

* code fix

* fix bugs

* reshape_transpose_matmul_pass_tester rewritten

* matmul_transpose_reshape_pass_tester rewritten

* mkldnn to onednn

* add zero dims test

* update code

* fix zero dims

* update code

* new exe supports CUDA Graph

* fix

* fix

* fix

* fix FLAGS_use_stream_safe_cuda_allocator in unittest

* insert output of coalesce_tensor op to skip_gc_var

* fix

* proto type of composite grad in paddle

* proto type of composite grad in paddle

* refactor composite api with phi

* fix compile error

* support static graph code-gen for squeeze op

* generate static graph code of unsqueeze

* refine op name

* fix compile error

* add extra output in op_compat

* remove debug log

* fix clang compile error

* support prim switch flag

* support prim switch flag

* fix dygraph error

* merge develop

* add code_gen

* add necessary files without codegen

* fix code_gen bug

* add deps

* modify igmnore

* add ignore

* delete std cout

* add composite logic for backward.py

* add tanh first order grad composite

* support enable_prim flag for static graph

* throw expection when both GrapOpMaker and GradCompOpMaker not been registered

* reorganize the directory of prim api tests

* fix windows error

* add eager_utils

* add eager_utils

* modify code gen

* add composite parse

* add unittest for get_grad_op_desc

* code optimize

* fix static test on windows

* support generate static graph code for imag and real op

* fix windows compile error in test_static_prim

* merge develop

* disable test eager in inference

* prim code gen

* disable eager compile in inference

* origin_yaml codegen success

* rm other file

* rm gitignore file

* code_style

* add eager test

* code_style

* clear #

* merge develop

* clear #

* remove useless files

* modify static test

* support bool flag from singlton

* merge develop

* recover git ignore

* fix conflict

* clear prim_gen

* recover git ignore for generated op

* parse_yaml success

* fix test compile error

* remove some tests

* add python test

* code_style

* revert parse_utils+ clear prim_gen

* fix some name issue

* add composite code gen

* modify backward yaml

* fix static composite grad maker code gen

* remove addtional files

* add some static funcs unit test

* fix some bugs

* fix composite grad maker register code gen

* optimize some functions

* modify gen cmake

* add more api gen

* add header

* modify static

* add static expand unsqueeze

* comments

* modify compopmaker

* revert

* modify gen name
Co-authored-by: NJiabinYang <360788950@qq.com>
Co-authored-by: Nzyfncg <zhangyunfei07@baidu.com>
Co-authored-by: Ncxxly <chenxx_id@163.com>
Co-authored-by: Ncharles-hit <wanghao107@baidu.com>

* change feed_op to phi kernel

* fix ci bugs

* fix build bugs

* fix ci bugs

* fix compile bugs

* fix ci bugs

* perfect code

* perfect comment code

* fix install bugs

* modify code according comment

* remove visitor in feed_op

* modify according comment

* perfect code according comment

* add infershape

* fix py3 bugs

* fix getexpected kernel type

* fix getexpected kernel type

* fix ci bugs

* add registry for custom device

* fix py3 bugs

* fix floating point error

* fix py3 test bugs

* support @to_static+to_prime+cinn

* fix code logic

* debug4

* debug5

* debug6

* debug7

* debug 8

* debug 9

* debug10

* debug11

* debug11

* debug 12
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* Fix translated layer fine-tune

Support 0d Tensor in ConditionalBlockOp

1. Add dygraph 0d tensor support for ConditionalBlockOp
2. Set scalar loss shape when `append_backward`

* rm retain grad

* fix zero_dim

* fix zero_dim for xpu

* reset zero dim for xpu

* reset xpu

* reset custom_relu

* Reset flip

* fix zero dim