* Move frame OP to phi、add frame OP yaml config and supplement single test

* add Header file of in_dygraph_mode

* Modify variable name and FrameGradInferMeta multiplex UnchangedInferMeta

* move seq2col to phi

* Move api(lgamma) from legacy_api.yaml to api.yaml

* Move api(lgamma) from legacy_api.yaml to api.yaml

* Move api(lgamma) from legacy_api.yaml to api.yaml

* modify code style

* add x to X mapping

* add definition of lgamma

* delete redundant lgamma definitions

* Modify code comments

* Modify ops.py code format

* add lgamma  single test and lgamma api in fluid

* Optimized lgamma unittest

* add launch test

* launch test for cpu

* bs 1

* refactor general_grad and fix some bugs

* add TODO: support prune logic deeper

* Add kernel declarations

* Copy kernel implementation code

* Transfer implementation code

* Fix: Move out_grad to first

* Register new kernels

* Remove old kernels

* Move out_grad to last

* Fix bugs

* Transfer infermeta

* Add yaml files

* Add blank line

* Fix code style

* Optimize directory structure
Co-authored-by: NBobholamovic <linmanhui@baidu.com>

* [XPU] add top_k op. test=kunlun

* [XPU] add top_k op. test=kunlun

* use PADDLE_ENFORCE_XDNN_NOT_NULL to check pointer. test=kunlun

* fix typos in template for codegen of operators
* change the way to set attributes for grad op maker

* add more loss ops

* add authors
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* fix RemoveNode in fuse_elewise_add_act_pass

* fix

* change pointer to share_ptr

* fix

* fix

* fix format

* fix

* fix graph_safe_remove_nodes

* move crop_tensor from fluid to phi

* delete fluid header files

* fix crop_tensor_op dygraph_mode bug

* modify header files, add out tensor check

* Replaced add_custom_command with add_custom_target in xpu_kp_cmake

* jit.save support peropty serilization

* extract set property function

* fix property test file name

* fix typing error

* fix typing error

* fix test coverage

* Remove include fluid head files in JitLayer

* Format code

* Remove const to fix ci error

* Fix param error

* Polish jit layer include and cp some headers to python/include

* Fix comment

* [CustomDevice] add process_group_xccl ut

* update

* move average_accumulates op to phi kernel

Add yaml and unittest for bmm op