* unify cpu context

* fix init()

* delete test_device_context

* fix test_scalar

* 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

* fused_gate_attention manual code in eager

* refine

* refine

* refine

* refine

* refine

* refine

* Add new attr of fused_multi_transformer

* fix format

* add note

* add in layer

* fixfixfixfix

* add relu6 kernel and yaml

* format files

* format code and fix bug

* fix build failed

* move cross form legacy_api.yaml to api.yaml

* move diagonal to api.yaml

* boost::variant -> paddle::variant

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

* Update pybind_boost_hraders.h

* Fix CINN compilation errors

* Revert FetchResultType

* move apis from legacy_api.yaml to api.yaml

* remove comment

* revert argsort

* fix merge conflict

* [CustomDevice]add custom place supports

* sync format

* 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

* move trace into api.yaml

* add trace unittest

* fix trace test

* fix generate op

* cpplint fix 2

* cpplint fix 2

* fix cpplint style 4

* fix cpplint style 4

* fix cpplint style 4

* fix cpplint style 4

* Fix test_fuse_resnet_unit failure

* Fix test_imperative_auto_mixed_precision failure

* Fix sparse_attention_op error

* Fix sparse_attention_op error

* sylwek

prototype params to int8 pass

* trying to make warmup work

* wip

* wip

* change test to cpp test

* review fixes, refactoring

* more refactoring

* add erasevars

* change test to fixture

* rename pass

and reorder erasevars and graphsaferemovenodes

* fix

* more refactoring and fixed bug

* formatting

* remove scale count

* enfroce message too short

* remove erasevars

erasevars couldbe cauuse of memory issues

some other fixes

* add count of successfull fuses to name of new nodes

* FindVar -> GetVar and use ConvResidual pattern

* use tensor->clear() instead of new variable

* Update paddle/fluid/framework/ir/mkldnn/params_quantization_mkldnn_pass_tester.cc
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* Update paddle/fluid/framework/ir/mkldnn/params_quantization_mkldnn_pass_tester.cc
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* Update paddle/fluid/inference/tests/api/analyzer_lexical_analysis_gru_tester.cc
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* add log (review fix)c

* review fix (2 functions to one)

* code review: Conv->QuantizeConv

* revert

* fix formatting

* remove unused functions

* add paddle enforce
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* 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