* add new api paddle.quantile and paddle.Tensor.quantile

* add take_todo and fix UT

* [Auto Parallel] add gradient merge pass

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix ci issue

* fix pr review

* fix pr review

* fix pr review

* fix pr review

* fix pr review

* fix pr review

* add fold opereators, test=develop

* add fold opereators, test=develop

* add fold opereators, test=develop

* update fold op error test, test=develop

* fix unitext, test=develop

* fix unitext, test=develop

Paddle new APIs: put_along_axis.

Xu Huang is on holiday so we created this PR to work on it. It is based on his PR: https://github.com/PaddlePaddle/Paddle/pull/37921

* unify data layout

* fix test_transfer_layout error

* change 'math' to 'math_kernel'

* fix compile bugs

* merge develop

* fix compile bugs

LGTM

* add sigmoid cross entropy with logits to kl1. test=kunlun

* add sigmoid cross entropy with logits to kl1. test=kunlun

Add exp, abs_grad, reciprocal, reciprocal_grad operator for XPU and update xpu2_op_list.h,test=kunlun (#38570)

This PR adds runtime flags run_kp_kernel, which choose which op to run for xpu2. There are two: dynamic linked and built from kp.

* add new OP mode

* rename trans-variable name and fix UT

* [Auto parallel] Make the id of var and op unique

* [Auto Parallel] Rename back dist_context to distop_context

* add cpu kernel of lstsq

* update

* modify code style

* modify unittest

* remove support for complex

    将cuSparse的handle与DeviceContext进行绑定，避免op中进行创建和销毁
    添加对cuSparse中dense和sparse转换的API进行封装
    添加对封装的API的单测

* Rearranged Eager AutoCodeGen directory structure

* Removed USE_OP in Eager AutoCodeGen

* Enabled generation for Operators without Grad/Inputs/Outputs

* Resolved operators without input

* Fixed merge conflicts

* Enabled Eager AutoCodeGen for 10+ more operators

* Refactored Eager AutoCodeGen with more organized helper objects

* Enabled Eager AutoCodeGen for operators with multiple OpBases

* Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument

* Handled Dispensable Inputs/Outputs in Eager AutoCodeGen

* Adjusted function generation/call between Python-C API & Dygraph API

* Synchronized auto-generated Python-C API with Dygraph Forward Functions

* support more eager tensor api

* fix merge compile error

* fix compile error and fit develop code

* support pure CPU

* fix some logic error in eager_mode

* support _varbase_creator in eager mode

* Added safe_initialized interface to EagerTensor for use in processing dispensable inputs

* for eager mode

* refine

* support multiple constructor for eager tensor

* add place related code

* polish code

* specific randint with dtype of int64

* Support pure cpu test

* eager logic

* refine test in pure cpu

* eager logic

* eager logic

* eager logic, test=develop

* skip core.eager when in inference, test=develop

* refine, test=develop

* refine, test=develop

* call RetainGrad after run forward kernel, test=develop

* refine, test=develop

* support dygraph util, meta, guard test

* support inference test

* refine test and fix initializer failed

* support create varbase and fix retain grad error

* fix windows error

* support test_imperative_basic test in eager mode

* remove additional log in variable.h

* remove additional log in variable.h

* remove additional code create in merge
Co-authored-by: Njim19930609 <jim19930609@gmail.com>
Co-authored-by: NWang Huan <wanghuan29@baidu.com>

* dynamic shape clone supported

* fix wait for tiexing

* fix work2vec model. new_exe support EOF Exception in ReadOp now

* refine run_program_op_grad output var name

* add default for global_block. for pass the eagle_generator_cmd

* fix

* ;

* fix

* const cast

* mutable block

* working test for padding only

* added full conv2d grad kernel

* removed some trash

* minor change

* Ci fix

* format fix

* remove offset in storage

* revert api change

* fix custom op slice bug

* fix mutable_data error

* extend Distribution baseclass for supporting multivariant distribution and prob method

* add ExponentialFamily base class and entropy using Bregman divergence

* add dirichlet probability distribution

* add dirichlet sample op and cpu backend kernel

* add Dirichlet op cuda kernel  (#6)

* add dirichlet op hip kernel
Co-authored-by: NFeiyu Chan <chenfeiyu@baidu.com>

* Fix the bug of batch_norm and batch_norm_grad op. Add the "roi_align" and "roi_align_grad" op in xpu2 op list.

* Fix the bug of batch_norm and batch_norm_grad op. Add the "roi_align" and "roi_align_grad" op in xpu2 op list. test=kunlun
Co-authored-by: NZibin <guozibin@baidu.com>