* 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

* Implement a common PointerArray.

* Polish codes.

* Add including of header file.

* Add the branch of kFix8.

* Fix compiling error.

* Add alignas hint to fix the performance drop.

* Optimize the H2D copy in stack_grad.

* Rename the macro.

* Fix align hint for different compilers.

* Polish the define of PADDLE_ALIGN.

* Fix compiling error.

* Remove the align hint on windows.

* fix paddle_infer_contrib include

* [D2SCinn]Fix self.infer_program always build cinn pass without cache

* fix infer op size

* add FusedLinear pass

* add fused_op_list and renname PASSES to OP_FUSION

* add fused_passes_list to constants.py

* add test_passes.py

* fix test_fused_passes.py

* fix add if float(paddle.version.cuda()) >= 11.6:

* renamed test_fused_passes.py

* fix CMakeList.txt

* compile fix

* fix compile

* compile fix

* add enable_to_static and drop some methods of ProgramTranslator

* fix code style

* fix cant import enable_to_static and update unitest

* change unitest and rollback code of PT

* fix can't import as of utils

* roll back PT

* fix roll back

* add some unitest

* add unitest and fix codestyle bug in api.py

* finish all unitest

* remove ProgramTranslator

* fix code style

* restore test_program_translator

* api.py remove get_func

* TestDygraphToStaticCode

* fix check_type and import err

* roll back PT without getcode

* roll back pt with get_code

* convert_to_static

* fix import __all__

* fix nll_loss

* fix nll_loss

* update

* update

* update

* fix

* rm retain_grad_flag for tests

* modify transpose op

* retain grads for xpu tests

* lint

* modify xpu test

* add stack grad kernel optimization

* add basic optimization kernel for stack_grad_kernel

* optimization of stack_grad_kernel for last dim stack and change code format with pre-commit

* refactor: gloo comm context migration

* fix: headers & avoid mutable_data usage

* fix: cmake gloo dep

* style: rename funcs

* refactor: move to new files

* fix: gloo deps

* refactor: simplify create device

* [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