* [CustomKernel] add capi eager mode support

* add ut

* add capi test

* fix cpu lars_momentum bug & add xpu grad_add/log_softmax/log_softmax_grad
*test=kunlun

* minor
*test=kunlun

* fix transform data

* fix dropout kernel

* Revert "fix transform data"

This reverts commit ada75ecd169ea194ce43f7ed75dcc968f5ed2fb9.

* fix convtranspose and elementwise

* grid sampler op for xpu. test=kunlun

* update relu xdnn api. test=kunlun.

* add method for post ops

* format code

* gpd

* format style

* add matmul+act test

* implement matmul+activation

* whitespaces

* code style

* python code format

* Increase UT timeout

* code format

* update style

* generalize activation fuse passes

* change order

* Unify activation GPD

* Revert changes with op_act

* remove softmax mkldnn attrs

* set common name for act attributes

* whitespace

* append postops by helper function

* ut style

* revert changes related to quantization

* Reduce redundancy

* reduce number of parameters

* trigger CI

* validate attribute

* trim unit test

* remov merged_adam_op to phi

* refine code

* clean glog header in public header

* move marco pos

* split coed gen for eager fluid_generated

* add authors
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* squash cpp changes 2/N
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* add authors
Co-authored-by: NAllen Guo <alleng@graphcore.ai>
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* squash cpp changes 1/N

* clean code
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* fix conflict

* new pg apis

* add docs of new apis

* update

* fix coverage

* update

* fix bug

* fix reduce scatter

* fix api

* update
Co-authored-by: NForFishes <2282912238@qq.com>

* Add Concat transformer for layout autotune

* Quantize shape operator

* Add shape op to propagate scales pass

make linux link both paddle_inference_shared and paddle_inference_c to aoivid size increase (#44180)

einsum support complex and add unittest.

* ssd pullsparseptr

* update codestyle

* reduce redundancy

* python code style

* fix int8 ut

* rmsprop for xpu. test=kunlun

* minor fix (follow comments). test=kunlun

* add ort clone interface

* paddle2onnx update to 1.0.0rc

* ort input_tensor use mutable data of scope