* Move ITensor construction for Weight (persistable variable) from OpConvert to TensorRTEngine.

* update

* empty commit

* update

* update

* update

* Rename BOOST_GET macros

* Fix conflicts

* support inpus is weight

* add fc, multihead_mul, shape tensor infer, slice

* support yolov5s static/int8

* fix eltwise_sub and div weight compute

* fix delete_fill_constant_pass

* paddle inference support new quant_model

* add Paddle Trt config: with_interleaved

* add trt convert op: reshape

* reshape

* fix

* input: Shape,ShapeTensor

* Add some comments

* add info log for trt input dynamic shape check

* fix error msg error

* optimize errror report

* add test case for pad op converter

* fix some spelling mistake commented by peiyang

* Paddle-TensorRT support slim QAT. test=develop

* add comments. test=develop

* use RenameInput instead of ResetInputs. test=develop

* change the ci trt from version 5. to 6.0

* paddle-trt dynamic shape support init

* conv+bias or conv+bn dynamic shape support
test=develop

* modity trt engine opconvert
test=develop

* fix ci error
test=develop

* add gelu plugin

* align trt bert with gpu

* add support for fused fc with relu,

* add unittest for bert trt

* add tensorrt support for windows

test=develop

* fluid int8 train and trt int8 predict align.
trt int8 predict init
op converter

* 2. align fluid int8 train and trt int8 inference.
enhance quant dequant fuse pass
enhance op converter, trt engine, trt engine op, trt subgraph pass.

* 3. add delete_quant_dequant_pass for trt

test=develop

* 4. add the missing file
test=develop

* 5. i modify the c++ interface, but forget to modify the pybind code
fix the IS_TRT_VERSION_GE bug, and fix elementwise op converter
test=develop

test=develop

add simple static mode loading
test=develop

test=develop

test=develop

add simple static mode loading
test=develop

test=develop

* Initialize the elementwise plugin.

* Implement the basic CUDA kernel of elementwise plugin.
test=develop