* support ernie trt-int8 for inference

* fix reshape

* extend multiclass_nms unittest timeout threshold

* adjust timeout to 200s

* temporarily disable multiclass_nms trt op teller

* fix yolobox teller condition

* fix cuda double free bug

* update trt engine addplugin name.

* update

* add anchor generator op plugin

* add anchor generator unit_test

* remove dbg info

* remove redundant line

* replace assertion with paddle enforce

* dynamic plugin replaces assertion with paddle enforce

* anchor generator support dynamic shape on spatial axis

* anchor generator test with fp16, dynamic shape

* add anchor generator test all

* add back main

* reduce test input size to not exceed the timelimit of ci

* change super to InferencePassTest for python2 compatibility

* reuse paddle operator anchor generator

* move creator construct to header with default

* add cuda ifdef

* reduce line

* change super to InferencePassTest for python2 compatibility

* fix anchor generator fp16 serialize setting

* split unittest from test_all

* restrict anchor generator input format before version 7234

* anchor generator only support greater than trt7.1

* change min_graph_size to 2

* min_graph size to 3 if dynamic shape

* reduce dynamic shape size to avoid trt search tactic too long to exceed time limit

* remove anchor from fetch list

* anchor generator support all trt version

* fix memory not allocated but if serialized

* fix batchnorm when inpu dims < 3

* add unittest for batchnorm dims = 2

* yolobox converter and plugin

* yolobox unittest

* add dynamic shape restriction

* fix git merge log

* add roi_align_plugin

* add roi align unit_test

* add roi align serialization

* remove roi align static plugin because of batch dim issue

* refine roi align unittest and add fp16/serialization

* add trt roi align condition to op_teller

* refine error message

* remove unnecessary reshape layer

* trt affine channel converter

* add trt affine channel base test

* add trt affine channel NHWC

* remove asterisk for python2 compatibility

* trt affine channel converter

* add trt affine channel base test

* add trt affine channel NHWC

* remove asterisk for python2 compatibility

* fix rebase

* move LodTensor to Tensor

* add dbg info

* affine channel converter only support NCHW

* scale,bias are parameters, use create_parameters api

* reduce test input size to not exceed the timelimit of ci

* refine affine channel unittest and add serialization/dynamic test

* change super to InferencePassTest for python2 compatibility

* change super to InferencePassTest for python2 compatibility

* fix affine channel fp16 serialize setting

* add multiclass_nms

* add multiclass_nms unittest

* add default enable_tensorrt_oss option

* refine multiclas nms unittest and add serialization/dynamic test

* change super to InferencePassTest for python2 compatibility

* refine multiclass nms unittest

* move out dynamic shape test due to ci timelimit

* fix tensorrt output varible reshape

* move padding shape x 1 x 1 in ernie to qkv and fc

* update layer name

* fix softmax when input is dynamic, fc not padding any more

* fix varlen

* move fc x_dim assert to op_teller

* nearest_interp op converter w/ dynamic/static

* fix data_layout include

* add trt nearest unit_test

* add nearest_interp NHWC test

* update trt nearest interp nhwc testcase

* remove asterisk for python2 compatibility

* add empty line to prevent conflict

* nearest_interp op converter w/ dynamic/static

* fix data_layout include

* add trt nearest unit_test

* add nearest_interp NHWC test

* update trt nearest interp nhwc testcase

* remove asterisk for python2 compatibility

* add empty line to prevent conflict

* change the priority of out_h, out_w

* trt gather converter

* add trt gather unit_test

* support batch axis concatenation when using dynamic shape

* opteller can't return true early, or some test will not be executed

* add serialize unittest

* fix element_op trt plugin serialize bug

* add n-d input support for trt scale converter

* add flatten for ut

* fix dims

* add group norm plugin

* fix compile problems

* move concat axis check to trt op teller

* add nbDims for scale and bias nv dims

* add group norm unit test

* fix unittest

* add trt version restriction for group norm op teller

* fix unittest

* update trt int8 calibrator to IEntropyCalibratorV2

* add delele opt_cache for trt_split_converter_test

* fix split trt plugin initialize

* update

* use iwyu clean include second time, test=develop

* fix trt plugin clone and initialize bugs

* fix unit test error

* enable trt in ci py3

* update unittest timeout

* add dla

* add dla done

* add python api
Co-authored-by: Nshangzhizhou <root@szth-rp-fanyi-opera49.szth.baidu.com>

* unify calling cudaSetDevice

* fix compile

* added support for inference using qunatization aware trained dygraph

* added support for inference using qunatization aware trained dygraph
correct boost get usage

* Delete incorrect warning message (#30196)

* fix warning and no grad

* clean redundant API alias in 2.0 - part 2 (#30013)

* delete paddle.nn.functional.assign

* fix dynamic to static error

* just add the op error message for the matmul xpu (#30246)

 add the op error message for the matmul xpu

* Add Static Variable Clone (#30208)

Add clone method for static Variable so that this interface will be same as dygraph. It fixed some bugs in dy2stat

* use wget to replace curl to download the lcov file (#30229)

* use wget to replace curl to download the lcov file

* add cache for lcov

* fix test_pool3d_op timeout issue (#30248)

* Fix unittests bugs. (#30250)

* modify error message based on comments (#30189)

* modify error message based on comments

* edit code according to review.

* Correct spelling according to review.

* Fix bug for 'save mutiple method' (#30218)

* Fix bug for 'save mutiple method'

* To pass coverage.

* edit code to pass coverage.

* edit code to pass coverage.

* add unittest for coverage.

* change for coverage.

* edit for coverage.

* added support for inference using qunatization aware trained dygraph

* Alias from  paddle.fluid.layers.auc to paddle.static.auc (#30206)

* add alias from  fluid.layers.auc to static.auc

* Update __init__.py

* added support for inference using qunatization aware trained dygraph
correct boost get usage

* corrected boost get usage

* corrected naming issues and enforcing zero check

* correct paddle enforce message

* added more error checkings

* corrected error report message and optimized code

* corrected findvar usage

* corrected paddle_enforce in scope

* correct error messages

* correct error reporting format
Co-authored-by: NLielinJiang <50691816+LielinJiang@users.noreply.github.com>
Co-authored-by: NXiaoguangHu <46782768+XiaoguangHu01@users.noreply.github.com>
Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>
Co-authored-by: NHuihuang Zheng <zhhsplendid@gmail.com>
Co-authored-by: NYUNSHEN XIE <1084314248@qq.com>
Co-authored-by: NBai Yifan <me@ethanbai.com>
Co-authored-by: Ngongweibao <weibao.gong@gmail.com>
Co-authored-by: NWeiXin <weixin10@baidu.com>
Co-authored-by: NJiaqi Liu <liujiaqi06@baidu.com>

* modify error message based on comments

* edit code according to review.

* Correct spelling according to review.

* change hard_swish from plugin to layer

* add ut when threshold != scale

* remove -DSUPPORTS_CUDA_FP16 in cuda.cmake

* comile with cuda9

* add some unittest

* notest;test=coverage

* add unittest for trt plugin swish && split

* update ernie unittest

* fix some error message

* remove repeated judgement of CUDA version in mbEltwiseLayerNormOpConverter

* fix comile errror when CUDA_ARCH_NAME < Pascal"

* fix comile error

* update unittest timeout

* compile with cuda9

* update error msg

* fix code style

* add some comments

* add define IF_CUDA_ARCH_SUPPORT_FP16

* rename IF_CUDA_ARCH_SUPPORT_FP16 to CUDA_ARCH_FP16_SUPPORTED

* change avg pooling and global pooling to trt layer

* add support for static shape global pooling

* modify trt errmsg

* skip_layernorm_op done

* add unittest

* slice op convertor support trt < 6

* skip_layernorm only work in ernie

* fp16 result ok

* change -DWITH_NVINFER_PLUGIN toconfig.EnableTensorRtOSS

* auto detect special slice op converter for ernie with trt oss

* ernie oss only support fp16

* fix special_slice_plugin serialize bug

* matmul in tensorrt ok

* ernie unittest ok

* add matmul tensorrt unittest

* remove demo code