* 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

* Add kernel declarations

* Copy kernel implementation code

* Transfer kernel implementation code

* Register new kernels

* Remove old kernels

* Add lu_unpack_sig

* Fix bugs

* Fix bugs

* Fix bugs

* Optimize directory structure

* Add output checks

* Update include files

* lu_impl.h->lu_kernel_impl.h

* Transfer infermeta

* Add yaml and update python api

* Add check_eager
Co-authored-by: NBobholamovic <linmanhui@baidu.com>

* phi_prior_box

* add float[] support

* phi_prior_box_optest

* update

* remove cudaDeviceContext

* remove more template

* fix rocm compile

* migrate lstsq op

* update

* fix bugs for CIs

* update

* fix bugs

* add uts

* update

* update

* update

* fix bugs of jip

* fix bugs of hip

* update

* update according to review

* update

* update

* update

* update

* add some fp16 op for kunlun resnet50 model
*test=kunlun

* tmp
*test=kunlun

* add FLAGS_enable_api_kernel_fallback

* deal with more cases

* add ut for coverage

* - Unit tests to be debugged

- fix

- refactor

- diagnostic

- more diagnostic

- fix

- Fix number two

- fix

- fix

- fix

- alpha added

- more fixes

- compilation fix

- removed diagnostic code

- cosmetic fixes

* lint

* add yaml and utests of phi softplus

add yaml of softplus

fix softplus bug in phi

* update utests

* bug fix

* bug fix for test_layers

* layer api match

* match def and doc in ops.py

* doc polish

* fix unwanted modified of thresholded_relu

* style imporve

* skip cast trt convert when input dtype is bool

* fixed bug for pass & engine

* fixed bug for benchmark GPT-3

* add tuner & profiler

* add algorithms & config

* init

* move CUDAStream to phi

* fix compilation

* merge develop

* add stream_owned_ member

* split cuda_stream.h

* fix cpu compile

* fix constructor

* fix bug

* fix windows compile

* fix inference test_levit

* fix windows tests

* 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