* 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

* 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

* 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

* [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

* add more loss ops

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

* 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

Add yaml and unittest for bmm op

* sync misc changes

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

* up x

* Revert "up x"

This reverts commit f3fde458c6cc48613269a643cfe2acf689caccd3.

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

* fix new dygraph record event for op

* update unit test

* fix behavior of device_id=None in Tensor.cuda

* fix CI

* add reverse yaml

* transfer the svd infer into phi infermeta

* remove the svd.h

* modify svd api

* fix svd error by insert optional

* Move slogdeterminant op to phi

* Add yaml and unit test for slogdeterminant

* update comp cost

* add dist default op cost

* add dist fill constant batch size like op cost

* add elewise op cost

* add fill_constant_batch_size_like op cost unittest

* add unittest and remove fill_constant_batch_size_like grad op cost

* add to cmakelist

* fix unittest bug

* 2022-04-28

* 2022-04-28_V2

* 2022-04-30

* 2022-04-30_V2

* 2022-05-01

* 2022-05-02

* 2022-05-02_V2

* 2022-05-05_V1

* 2022-05-06_V1

* 2022-05-07_V1

* Update loss.py

* 2022-05-07_V2

* 2022-05-13_V1

* Update test_soft_margin_loss.py

* Update loss.py

* Update loss.py

* 2022-05-16_V1

* 2022-05-19_V1

* 2022-05-20_V1

* Update test_soft_margin_loss.py

* 2022-06-01_V1

* 2022-06-05

* 2022-06-07

* 2022-06-07

* 2022-06-08

* 2022-06-08_V2

* 2022-06-17-code_style

* Modify python

* 2022-06-20

* for

* for CI;test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>