* Add kernel declarations

* Copy kernel implementation code

* Transfer implementation code

* Register new kernels

* Remove old kernels

* Fix code style

* Fix bugs

* mutable_data->HostAlloc

* Transfer infermeta

* Add yaml and update python api

* Add PADDLE_WITH_HIP check

* Update unittests

* Fix bugs

* Fix bugs

* Optimize directory structure

* Add output checks

* lu_impl.h->lu_kernel_impl.h
Co-authored-by: NBobholamovic <linmanhui@baidu.com>

* [Phi] Add yaml for assign_value

* [Phi] Fix the bug of the assign api and modify the unittest

* [Phi] Fix the bug when the tensor does not have the backend info

* [Phi] Replace the functional-style cast init by the brace-init

* [Phi] Cast the data explicitly

* fused_fc_elementwise_layernorm support fp16

* fused_fc_elementwise_layernorm support double

* depthwise_fp16

* depthwise_fp16

* depthwise_fp16

* depthwise_fp16

* test_activation_op unitest error, yaml & activation.py in_dygraph_mode incomplete

* fix test_activation_op unitest error, add yaml and dygraph test

* fix code style with pre-commit

* try to fix namespace error of abs in activation_functor.h

* fix namespace error of abs

* migrate dirichlet op kernel to phi

* fix dirichlet sample memory leak

* support auto fallback to  cpu kernel for cusom device

* fix some problem of kernel fallback

* 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

* 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

* 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

* move average_accumulates op to phi kernel

Add yaml and unittest for bmm op