* move yaml to phi

* fix undef var error

* 2nd part of transpose update

* add switch_auto_tune option.

* add some changes according to Ci

* refine the structure of auto_tune_base.

* merge develop changes

* reset the switch_set_range and change unittest of transpose auto-tune

* change the kernel auto-tune logits

* move standard apis to api.yaml

* revert erfinv

* delete dot_op.h

* fix dot

* rerun ci

* add relu6 kernel and yaml

* format files

* format code and fix bug

* fix build failed

* support complexd selected_rows kernel in yaml

* support configuring optimizer api in yaml

* fix data transform bug

* move cross form legacy_api.yaml to api.yaml

* move diagonal to api.yaml

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

* [Sparse]add SparseTensor mv kernel(csr*dense_vec->dence_vec, coo*dense_vec->dense_vec)

* fix CI

* boost::variant -> paddle::variant

* boost::variant.apply_visit -> paddle::visit

* Update pybind_boost_hraders.h

* Fix CINN compilation errors

* Revert FetchResultType

This reverts commit f8b9073f.

* make inference_api_test use import_lib + dll to smaller its size;test=document_fix;test=windows_ci_inference

* make place.h not export symbols; change the order of inference test dependencies

* cant delete analysis pass ..in inference_analysis_test or build test_analyzer.exe will failed; temporarily comment test need paddle_inference_c

* add onnx path; cp onnxruntime.dll to tests/api

* make c_ut depend on paddle_inference_c_shared rather than paddle_inference_c

* make c_ut depend .dll in windows and .lib in linux;path add capi_exp

* init context pool by analysis predictor

* make windows and linux both use shared; compile shared even on_infer off

* move case:profile after case:fuse_statis to avoid context pool null problem

* make c_ut depend .dll in windows and .lib in linux;path add capi_exp

* move apis from legacy_api.yaml to api.yaml

* remove comment

* revert argsort

* fix merge conflict

use jinja 2.11.3 in python lower than 3.6.2

* perfect copy

* deal with conflict

* deal with conflict

* fix compile bugs

* fix unittest bugs

* change code format

* deal with conflict

* modify code by review

* fix ce bugs

* fix ce bugs

* add lo

* perfect code format

* deal with conflicts

* fix incompatible error

* rmeove default constructor

* add macro

* fix cpu make error

* add DefaultGPUPlace api

* Remove unnecessary including for pstring.h

* Fix typos

* move trace into api.yaml

* add trace unittest

* fix trace test

* fix generate op

* add codegen for get_expected_kernel, add argument mapping for selected_rows kernels, fix other bugs in codegen for operators.
* move bernoulli, erf, mv, poisson, trunc, erf to api.yaml and corresponding backward api to backward.yaml
* generate EmptyGradOpMaker for ops without grad op
* add code to generate all possible kernel signatures for infrt

* cpplint fix 3

* cpplint fix 3

* cpplint fix 3

* cpplint fix 3

resort .cu headers, set clang-format not sort include block and consider .cu as main source file (#43633)

* add new API/OP(csr->csr) of SparseTensor softmax

* fix comment

* fix to_sparse_csr