* support construct scalar using non-cpu tensor

* fix bugs when run unittest

* fix compile bugs

* fix bugs when run ci

* fix compile bugs

* fix bugs when move copy

* perfect unit test

* perfect unittest

* update according to comment

* add target dependency

* remove old custom op placetype

* replace dist  placetype using

* add with gpu macro

* fix mutable_data error

* fix set value error

* add comment

* init commit no push

* collect comile errors

* bitwise UT

* fix compile problem

* cancel comments

* restore miss deletion

* fix compilation

* fix UT

* NO stash in multiple branch at the same times

* fix error

* combine .cu from gpu and kps

* replace gpu by kps

* fix by Chen-weihang

* Revert "Fix kps compile error in Junhui logic compare bitwise"

* fix backend test

* rm comments
Co-authored-by: NChen Weihang <chenweihang@baidu.com>

* Add yaml for flatten_contiguous_range OP

* update

* Fix typos
Co-authored-by: NShixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

* support pinned, test=develop

* support async_write, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine,test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* rename scalar_array to int_array

* update cmake

* fix conflict

* remove useless log

* perfect reshape kernel

* fix bugs of sig

* add unittest for reshape_sig

* fix bugs when run converage

* add string tensor and case convert kernels

* Add strings empty kernel; Reorganize the structure of case convert kernel

* Add string infermeta

* Update mutable_data of string tensor

* rename kernel name

* add string copy tmp

* Fix strings copy device bug

* add utf8 gpu converter

* add string tensor c++ api

* Remove mutable_data of string tensor

* update string tensor interface

* remove charcases_flag.h

* remove some fluid headers

* Add make_ddim

* __HIPCC__ -> PADDLE_WITH_HIP

* remove fluid headers

* fix cpu compile

* remove std::hash

* Fix cudaMalloc

* Remove strings/impl directory

* Fix infrt/get_phi_kernel_info.py;Add custom_kernels deps

* Add empty kernel test

* Remove some comments

* Modify lower/upper api encoding type: string->bool

* STRING->PSTRING; Add CreateInferLikeMeta

* Add code gen for C++ String API

* remove strings_api_utils.h

* Add ignore file (strings_api.h, strings_api.cc)

* update strings gen script

* change args order of case convert kernels

* Add comments for pstring, StringTensor

* cpstring_internal.h -> cpstring_impl.h

* Update accordding to comments:

1. Remove fluid headers
2. paddle::platform::errors -> phi::errors
3. Use 'place.GetType() == phi::AllocationType::GPU' instead of 'paddle::platform::is_cpu_space()'
4. Use camel code style

* Remove all singletons in strings kernels

* fix rocm compile

* Fix py3 compile

* Fix c++ coverage

* 1. Add pstring proto type
2. Add StringTensor debug info
3. Rename case_convert_kernel to strings_lower_upper
4. Remove serialize derialize strings kernel

* DataLayout::PSTRING -> DataLayout::PSTRING_UNION

* Register pstring data type

* Fix strings api gen

* Fix dense tensor register pstring dtype

* Fix error messages

* remove line

* add pstring unittest

* remove test string api unitest

* remove empty line

* Remove some headers to decrease the size of executable file

* support intermediate for saprse api

* close intermediate in yaml

* fix dygraph_api dep for eager

* replace Backend by Place in C++ API

* fix left code

* fix test_to_api bug

* call sparse api from python

sparse maxpool; kernel_registry support sparse tensor

* move assign kernel init commit

* change vec<tensor> to vec<tensor*>

* support tensor array

* support api declare

* fix test_list failed

* fix npu and xpu failed

* fix infrt failed

* remove assign array size in operator

* move assign sr header into sr dir

* add infermeta for assign

* test op success

* fix test_list failed

* fix kunlun failed

* add set host allocator in tests

* support tensor array in arg ctx

* open set layout in share_meta

* fix meta tensor layout error

* fix test failed

restructure conv

* move reduce kernels into one file

* rename reduce_prod to prod

* move reduce sum/mean from math_kernel into reduce_kernel

* rm comment

* move set_value_grad kernel form fluid to phi

* add unittest for passing coverage ci

* Move Pool OPs to phi

* Fix CI error

* Fix conflicts

* move allclose kernel

* remove allclose op kernel

* fix coverage failed

submanifold convolution

* remove needless deps in unittests

* add gpu marco

* fix other unittests

* fix kernel name error

* fix test_prepare_op

* fix failed dygraph unittests

* fix gpu failed tests

* fix cinn test failed

* fix cinn test failed

* fix dropout tests

* save code

* fix bug of set_value

* add coverage test

Sparse conv3d backward(gpu)

* [custom kernel]Upgade support for multi libs

* upgrade phi_custom_kernel deps

* remove storage deps of empty

* remove invalid empty method

* remove error empty using

* fix test_sparse_utils_dev_api

* revert some sparse change

* add memset for conv grad

* resolve conflict

* resolve conflict

* resolve conflict

move cpu_vec.h to phi/kernels/funcs.

* change input vec tensor to pointer

* update input between

* fix format error

* resolve conflict

* resolve conflict

* suppport sparse api in yaml

* support auto-gen code of sparse api

* do some refactor

* add unittest test_sparse_conv_api

* add unitest file
Co-authored-by: Nzkh2016 <zhangkaihuo@baidu.com>

* sparse conv3d: gpu code

Sparse Conv3d backward code

* unify complex type trait and fix real imag bug

* add unittest for type tratis

* modify infershape utils and rm reduce infershape

* merge develop

* fix infermete bug

* add IsForInferShape func in ArgumentMappingContext

* add reduce_mean infermeta

* modify annotation

* add default dims

* support kps backend and compile

* resolve conflict

* fix kps backend trans

* test in xpu2 device

* remove dummy kernel

* fix incorrect dims settings

* sparse conv3d

* fix out dims

* test performance

* test large shape success

* opt scatter, double performance

* test float16

* remove profiling code

* remove pten

* opt code lines

* correct boundary judgment

* only cpu

* test ci

* test ci

* remove the including paddle/fluid header; extract the conmmon function

* opt code lines

* use DenseTensor::data() instead of mutable_data

* return rulebook for backward

* specify layout

* rename:conv -> sparse_conv3d