* modify API nn.Bilinear's doc, test=develop

* modify API nn.Bilinear's doc, test=develop

* give shape related contructor and reshape warning

* change line num to fit ut

* change ut to fit

* remove useless code

* call resize directly in constructor

* 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

* Use layer to calculate output scale
* add backward for moving_average_abs_max_scale and save output scales to op's attr

* update, test=develop

* 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 zip py3 bug

Fix default argument of nn.MaxPool3D()

Our old `loop_body` function may return single element when `loop_vars` just contains only 1 element, which can cause bug. The key point of this PR is forcing `loop_body` functions always return tuple.

* Refine saving output scale to infer program

* Delete fast_check_nan_inf

* Delete run_fast_nan_inf_debug

fix launch ps ut test=develop

* 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

* add 1f1b scheduler for pp, test=develop

* Fix skip_quant in QAT

* support float16 in custom op

* fix failed unittests

* support attribute in infershape

* polish details

* Refine calculating output scale of dygraph qat, test=develop

* support custom complex op

* fix detail error

* add inference support

* fix setup windows failed

* trt gather converter

* add trt gather unit_test

* fix one ps gradient clip

* remove useless import. test=develop