* add pten::Place data structure.

* update ci problem

* fix ci problem

* update

* using platform::Place=pten::Place

* remove BOOST_GET_CONST for CPUPlace and GPUPlace

* compile pass 25%.

* compile pass 45%

* compile pass 60%

* remove boost_get for xpu npu mlu and ipu

* compile pass on cpu and gpu.

* fix compile problem

* fix compile error.

* update

* fix ci problem

* update

* ci approve

* fix ci problem

* fix ci eager test problem

* remove BOOST_GET_CONST

* fix npu compile

Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* update ipu releated passes
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* remove ipu_pass_base

* update error msg

* update error msg 02

* split pr 01

* restore ipu_pass_base
Co-authored-by: NXiaobing Wang <xiaobingw@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NHaicheng Jiang <haichengj@graphcore.ai>
Co-authored-by: NHan Zhao <hanzhao@graphcore.ai>

* add no reduce mode for pe

* add NoReduce ut

* fix paddle.where torch diff

* update

* close enable_inplace PASS for PE, and test dy2st pure fp16 training stability

* add some comment

* enlarge atol

* support test_auto_prune_partial

* support rest of autoprune strategy in eager mode

* add select kernel map method

* fix error

* remove cached kernel context

* revert dataloader format change

* Merged LoDTensor with Tensor,test=allcases

* Patched python level LoDTensor

* Fixed example code failure

* Polished function names, removed duplicated forward declarations

* add trt_convert_flatten_contiguous_rang op

* trt version >7,support trt_convert_flatten_contiguous_rang

* trt version >7,support trt_convert_flatten_contiguous_rang

* trt version >7,support trt_convert_flatten_contiguous_rang

* test cast add trt version >=7 skip

* [XPU]add split op for kunlun2,*test=kunlun

* [XPU]add split op for kunlun2,*test=kunlun

* [XPU]add split op for kunlun,*test=kunlun

* [XPU]add stack_grad op for kunlun2,*test=kunlun
Co-authored-by: NQingshuChen <chenqingshu@baidu.com>

* [MLU]: add mean and reduce mean op

* [MLU]add mlu pytest dir in CMakeLists.txt

* [MLU]fix tensor data

* [MLU]fix TensorToPyArray and license

* rename register marco

* fix error changing

* fix format error

* add Paddle Trt config: with_interleaved

[NPU] fix tril_triu

* [NPU] fix expand op

* [NPU] optimize codes

* [NPU] optimize codes

* force close eager_generator.exe

* modify according to zhouwei's comment

* move dot_dev api into dot_kernel.h

* add infermate header

* modify to dotkerel in dot_op.h

* mvoe conj dev api into complex_kernel.h

* move sign dev api into  sign_kernel.h

* move scale dev api into kernel.h and remove infermete.h

* rm paddle/pten/include/math.h

* rm paddle/pten/include/math.h

* rm include dir

* rm paddle/pten/include/math.h

* fix conflict with develop branch

* rm devContext in conj_op.h

* add the missing complex_kernel header

roi_align aligned supported

* base changes for mul reimplementation

* empty commit

* tmp save

* full implementation of mul bf16/fp32 fwd bwd

* CI fix

* CI rerun

* changed unity build cmake to avoid gpu issues

* removed mul mkldnn from unity build

* added skipping tests if not cpu_bf16

* CI fix

* CI fix

* CI fix

* fix mkldnn invalid infershape

* add unittest for mkldnn in new executor

* add import os

* Support test_imperative using_non_zero_gpu and Add a TODO comment

* Change GPU number to 0

* Modify the cuda device selection method