* transfer as_real to phi

* fix erros

* blocking: True -> False

* add custom-op UTs 1

* 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>

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

* add custom-op UTs 0

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

test=kunlun

* add fused token prune op and plugin

* Fix test_functional_conv2d_transpose random seed

* Fix random seed and use np.testing

* Fix random seed for test_lu_unpack_op

* Fix test_autograd_functional_dynamic random seed

* fix the outputs of net is x,x

* add unittest for duplicate output

* fix

* hide prim2orig in executor

* add some test cases without param guard

* fix spell error param into program

* Use absolute path when import paddle.incubate.autograd.prim2orig

* add sparse api coalesce

* mv to phi

* refine infermeta code position

* refine grad code

* add api yaml and add final_state_api

* refine code

* [JIT]Layer support eager dygraph mode and polish Function interface

* remove usless code

* fix #define

* Enable test_tesnsordot

* Fix CI errors

* Disable windows inference test

* Fix typos

* Fix typos

* Fix CI errors

* Remove disable_wingpu11_test

add shape attribute in fill_constant op converted from scale_loss_grad after convert graph to program (#43898)

* fix grad loss shape

* little change

* delete for_test

* add unittest for FLAGS_CONVERT_GRAPH_TO_PROGRAM

* avoid conflict

* [CustomKernel] add capi eager mode support

* add ut

* add capi test

* generate default cluster

* add unittest

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

* minor
*test=kunlun

* fix convtranspose and elementwise

* grid sampler op for xpu. test=kunlun

* update relu xdnn api. test=kunlun.

* change NameVisitor to FunctionScopeAnalysis

* polish the logic of undefined var in while_loop. create vars after body execution

* replace old NameVisitor in while and fix all CI

* Togather with CreateVariableTransformer

* add create_variable_transformer

* fix bugs

* merge

* fix some error, TODO: ForNodePreTransform ahead

* merge for unite PR

* fix conflict with base_transformer PR

* fix ci errors, fix [for i in range()] error

* fix according to code review

* update base cost

* update unittest of cost model

* add unittest

* 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