* change to condition to find python interpreter to avoid skipping the find process.
PYTHONINTERP_FOUND is the best signal that python interpreter is found.

use jinja 2.11.3 in python lower than 3.6.2

* move trace into api.yaml

* add trace unittest

* fix trace test

* fix generate op

* rename yaml file

* fix merge conflict

* fix infrt

* make all phi kernels to 2(host/device) static libraries directly

* fix calling kernel_declare

* fix compile

* fix cpu compile

* fix rocm compile

* fix xpu compile

* fix xpu kp compile

* fix inference compile

Add Code Generation for operators,  op makers and argument mapping functions (#41772)

* 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

* int_array supports constructed by gpu tensor

* add some test

* polish code

* adjust full api

* add unittest

* add unittest
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>

* change the output format of C++ backward api

* fix merge conflict

* fix sparse api code auto-gen

* fix eager_gen bug

* fix bug of output is null

* fix bug of conv2d_grad_impl

* fix optional grad

* fix bug of eager-gen double_grad

* fix bug

* fix multiply_double_grad bug

* remove node pruning

* the copy type of data transform for gpu_pinned to gpu change from syna to async

* refactor code

* 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

* deal with conflict

* fix bugs when run unit test

* fix unit test bugs

This reverts commit fe214af2.

* 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

* add real and imag yaml

* add roi_align and roi_pool yaml

* add qr yaml

* add psroi_pool yaml

* fix bug

* fix param bug of psroi_pool

* fix infrt problem

* fix merge bug

* add concat_grad kernel

* fix error

* remove comment code

* fix outs nullptr error

* change to phi header

* add concat_grad declare for standalone_executor_test

* add concat_grad yaml

* add concat api

* fix test concat op error

* fix test concat op error

* refactor code auto-gene for no_need_buffer

* fix some bug

* delete test code

* 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

* add phi device context pool

* change year

* fix compile error

* fix operator = error

* refine init impl

* polish details

* refine init impl

* fix copy_ problem by doing it with phi copy

* improve test coverage

* refactor copy with sr kernel

* support code auto-gene for sparse backward api

* fix bug of intermediate api and name of return var

* 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>

* 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

* rename pten to phi

* fix infrt compile failed

* resolve conflict

* remove fill_any_like kernel in fluid and fix data transform bug

* support scalar in infershpe

* recover infershape in fill_and_like

* [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

* 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

* support inplace and intermediate in yaml

* add cmake for dygraph_api

* pten matmul cuda kernel support bf16

* avoid custom kernel deps on pten_function_api

* Revert "pten matmul cuda kernel support bf16"

This reverts commit 5d520845b9a189375677276efb673235ed8e5ee0.

* refine code

* fix compile

* fix test_split_api

* generate wrapped_infer_meta

* add test for wrapped_infer_meta

* Update test_meta_fn_utils.cc

* change the dir of generated file
Co-authored-by: NChen Weihang <chenweihang@baidu.com>
Co-authored-by: NChen Weihang <chenwhpro@163.com>

* refactor C++ API code-gen

* fix windows problem of C++ API

* add data_transform in pten api

* support GetKernelTypeForVar

* fix complie problem of bfloat16

* change error namespace

* add complex type transform unittest

* fix merge conflict

* dense_to_sparse_coo

* optimize unit testing; support rocm

* 1. delete fluid related header file
2. update the copyright

* fix hipMemcpy

* update dense_to_sparsecoo

* add namespace sparse

* [Demo] custom kernel based on pten kernel

* merge and npu custom work well

* del comments

* delete other code

* fix CUDAContext

* fix not found small_vector.h

* support NPU

* fix NPUContext

* fix DeviceContext support

* add UT

* fix call

* add UT

* fix

* fix for comments and ut

* add MACRO control

* fix multi input output

* support env CUSTOM_DEVICE_ROOT

* deal with special cases

* fix for Windows

* try coverage with test_custom_kernel_dot.py

* fix test_custom_kernel_dot

* fix test_custom_kernel_dot

* fix merge

* fix merge

* fix CI

* update

* merge and fix

* remove WITH_CUSTOM_KERNEL

* fix merge

* merge and fix

* fix ut

* fix ut for mac

* add more UT

* add more UT

* fix