* Move eigvals OP to PHI

* Fix CI errors

* Fix CI errors

* opt sparse_mask

* [Phi] Migrate matrix_solve to phi

* replace mutable_data with Alloc

* 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

* add relu6 and relu6_grad

* change code style of relu6 and relu6_grad

* add relu6 and relu6_grad *test=kunlun

* add relu6 and relu6_grad *test=kunlun

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

* 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