* update

* repalce gflags header

* replace DEFINE_<type> with PD_DEFINE_<type>

* fix bug

* fix bug

* fix bug

* update cmake

* add :: before some paddle namespace

* fix link error

* fix CI-Py3

* allow commandline parse

* fix SetFlagsFromEnv

* fix bug

* fix bug

* fix CI-CINN

* fix CI-Coverage-build

* fix CI-Windows-build

* fix CI-Inference

* fix bug

* fix bug

* fix CI-CINN

* fix inference api test

* fix infer_ut test

* revert infer_ut gflags usage

* update

* fix inference

* remove flags export macro

* revert inference demo_ci gflags usage

* update

* update

* update

* update

* update

* update

* update

* update

* fix bug when turn on WITH_GFLAGS

* turn on WITH_GFLAGS

* fix bug when turn on WITH_GFLAGS

* fix bug when turn on WITH_GFLAGS

* update

* update and add unittest

* add unittest

* fix conflict

* rerun ci

* update

* resolve conflict

* mv inference/api infer_ut

* mv test

* merge develop fix error

* fix

* fix build error

* fix build error

* fix bug

* fix tester_helper.h

* fix analyzer_transformer_profile_tester.cc

* fix

* fix mac

* fix mac

* fix error

* fix

* fix

[XPU] Remove lite_xpu ut lite_resnet50_test since fusion pass changes introduced precision diff. test=develop (#30122)

* refine paddle inference api
Co-authored-by: Nnhzlx <nhzlx.dragon@gmail.com>

- fluid和lite精度比较替换为相对误差

- 添加了fluid-lite子图方式运行resnet的单测
- 修改了依赖Lite的git commit id

* Add a interface to enable cudnn for inference.

* Add cudnn_placement_pass.
test=develop

* Set the default value of cudnn_enabled_op_types to null.
test=develop

* Write the common basic class, placement_pass_base, to refine the codes.
test=develop

* Call EnableCUDNN in unittest.
test=develop

* Refine cudnn_placement_pass tester.

* Enable the testing of cudnn_placement_pass in inference's unittest.
test=develop

* Add the check of op kernels.
test=develop

test=develop