* kunlun add support for c_concat and c_split

* replace mutable_data() and ShareDataWith()

* fix xpu unittest issue: zero_dim_tensor

* deal with leftout issue introduced by #49470

* generate static graph code of stack, unbind, unique_consecutive op

* fix bug

* [cpplint fix] under ps

* [PHI] rrelu add yaml

* polish

* polish

* [Eager] polish some api logic

* fix split

* revover

* lerp support 0 Tensor

* fix lerp grad

* fix lerp zero test

* fix 0D + ND/ND + 0D

* fix check

* update code

* fix lerp infer shape

* static backward test

* updata static graph test

* refactor: migrate comm checks

* refactor: add check in comm context

* feat: add gloo static check

* refactor: add place param in static check

* Fix reduce func bug in process_group_bkcl

Also catch up with a recent process_group PR that failed to add XPU branch.
Note that reduce is still accomplished by allreduce for xpu. Fix this should
xccl lib be updated.

* fix compile issue for non-XPU

* test=ninja;test=document_fix

* test=ninja;test=document_fix

* test=ninja;test=document_fix

* add ninja

* update dockerfile

* update dockerfile

* update dockerfile

* update dockerfile

* update dockerfile

* test=cuda117

* update ce dockerfile

* update ce dockerfile

* compile fix

* fix compile

* compile fix

* add more preln

* [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-Dim] support input 0D Tensor for fmax,fmin,complex

xpu2_op_list.cc. test=kunlun

* rename kernel

* delete sig

* modify code according comment

* fix ci bugs

* recovery annotation

* bugfix

* remove Travis CI build status badge from README.md

* empty commit, test=document_fix

* Add tools for quantization-aware training
1. Expose an API named paddle.quantization.QAT
2. Define a wrapper class to insert quanters into model for QAT
3. Add some functions in QuantConfig for QAT
4. Add unittest for QAT

* Add QuantedConv2D and QuantedLinear for QAT

* Add paddle.nn.quant.qat to setup.py