* add set slot_num for psgpuwraper (#177)

* add set slot_num_for_pull_feature for psgpuwarper

* Add get_epoch_finish python interface (#182)

* add get_epoch_finish interface

* add return

* delete return

* add unzip op (#183)

* fix miss key for error dataset (#186)

* fix miss key for error dataset

* fix miss key for error dataset
Co-authored-by: Nyangjunchao <yangjunchao@baidu.com>

* add excluded_train_pair and infer_node_type (#187)

* support return of degree (#188)

* fix task stuck in barrier (#189)
Co-authored-by: Nyangjunchao <yangjunchao@baidu.com>

* check node/feature format when loading (#190)

* check node&feature format when loading

* check node&feature format when loading (2£ (2)

* degrade log (#191)

* [PGLBOX]fix conflict

* [PGLBOX]fix conflict

* [PGLBOX]replace LodTensor with phi::DenseTensor

* [PGLBOX]fix gpu_primitives.h include path

* [PGLBOX]from platform::PADDLE_CUDA_NUM_THREADS to phi::PADDLE_CUDA_NUM_THREADS

* [PGLBOX]fix unzip example code

* [PGLBOX]fix unzip example code

* [PGLBOX]fix unzip example code

* [PGLBOX]fix unzip example code

* [PGLBOX]fix unzip ut

* [PGLBOX]fix unzip ut

* [PGLBOX]fix code style

* [PGLBOX]fix code style

* [PGLBOX]fix code style

* fix code style

* fix code style

* fix unzip ut

* fix unzip ut

* fix unzip ut

* fix unzip

* fix code stype

* add ut

* add c++ ut & fix train_mode_ set

* fix load into memory

* fix c++ ut

* fix c++ ut

* fix c++ ut

* fix c++ ut

* fix code style

* fix collective

* fix unzip_op.cc

* fix barrier

* fix code style

* fix barrier

* fix barrier

* fix code styple

* fix unzip

* add unzip.py

* add unzip.py

* fix unzip.py

---------
Co-authored-by: Nchao9527 <33347532+chao9527@users.noreply.github.com>
Co-authored-by: NSiming Dai <908660116@qq.com>
Co-authored-by: Nhuwei02 <53012141+huwei02@users.noreply.github.com>
Co-authored-by: Nyangjunchao <yangjunchao@baidu.com>

* refine _found_inf

* add missing proto file

* fix windows ci

* fix ci compile error

* remove max_slot_num

* fix test case

* 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

* 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

* [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

* 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

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

* 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

* 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