* 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

* rename pten_utils to phi_utils

* rename pten_utils target

* rename Pten to Phi

* replace pten with phi

* resolve conflict

* remove empty kernel in fluid and adjust the param of empty dev_api

* polish code

* revert fluid empty kernel

* fix selected_rows bug in C++ API

* add optional for C++ APIO

* data transform support optional

* remove data transform for optional vector<Tensor>

* adjust some format of funtcion

* fix empyt bug

* remove SetAllocationForOutputTenosr

* add place param for copy kernel

* recover SetAllocationForOutputTenosr

* polish code

* fix empty_dev api bug

* test=allcases

* test=allcases

* fix bug

* recover empty

* recover modify

* Support custom implement for C++ API

* rename api_invoke_impl to api_custom_impl

* remove manual_api

* delete mutable_data in copy_to api

* fix problem of copy_to

* add unittest for infer_meta_fn_factory

* fix split cofig in yaml

* fix split cofig in yaml

* modify sum api yaml

* add copy_to wrapped infermeta

* rollback copy impl

* support cudnn kernel moving

* polish cmake rules

* add unittest for coverage

* remove orig kernel

* remove softmax cudnn kernel

* fix softmax test failed

* fix npu func error

* resolve conflict

* rename gpu dnn kernels

* fix name rule error

* fix compile error

* update fp16 namespace

* rename pten to phi

* fix infrt compile failed

* resolve conflict

* change Vector to std::vector and provide MixVector class as a helper wrapper class

* solve the multi-gpu hang problem

* remove the duplicate template instantialize

* Copy vector to cpu

* add CopyToCPU

* xxx

* final version: fix the problem of all reduce

* remove mixvector dependence

* fix

* merge

* fix code

* fix by CI

* unify register macro

* rename declare macro

* fix infrt error

* [PluggableDevice]custom kernel to pten core structs

* mod extension.h for custom op

* compatible python for CI

* support custom context

* refactor to pten

* fix windows and ut

* add copy_to wrapped infermeta

* test=allcases

* test=allcases

* test=allcases

* rename pten dir to phi

* rename namespace to phi

* rename infrt pten dir to phi

* resolve conflict

* rename pten to phi in cmake

* revert all infrt change

* change needed files

* fix infrt failed

* fix inference failed