* add dynamic plugin support.
test=develop

* change emb eltwise layernorm to math function
test=develop

* add emb eltwise layernorm
test=develop

* can run dynamic shape ernie
test=develop

* fix ci
test=develop

* add ut for trt ernie dynamic

test=develop

* refine dynamic shape c++ interface.
test=develop

* fix comments
test=develop

* fix comments
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

[Refine Paddle-TRT INT8]: Support PaddleSlim's Resnet50, Mobilenetv1, Yolov3 models for Inference. (#22483)

* add int8 op teller for trt.

* refine trt int8

* add int8 op teller for trt.
test=develop

test=develop

* make DisableGlogInfo able to mute all logs in inference. 

Bug Fix: Paddle-TRT cannot handle adaptive pooling in pool2d op converter and "num" attribute in split op converter (#20733)

* fix pool2d trt converter, test=develop

* add fix for split op converter, test=develop

FIx C++ inference BUG: When open memory optim and enable trt subgraph at the same time, there is a bug (#19969)

* fix memory optimization type
test=develop

* 1. fix BUG: open trt and memory optim will trigger bug.
2. Clean memory optim bug.
test=develop

* add TRT shape check, test=develop

* model_input_shape == runtime_input_shape, refine message, test=develop

* fix trt bugs when sharing params, test=develop

* add unittest for cascade_rcnn

* Fix Mask rcnn predictor
    1. refine memory optim algorithm to support the model with the block op.
    2. output diff : modify the affine channel fuse
    3. add condition_block_infer op
add interface for setting trt calib table dir
test=develop

* add the missing files.
test=develop

* 1 add trt fp16 support
test=develop

* Fix Mask rcnn predictor
    1. refine memory optim algorithm to support the model with the block op.
    2. output diff : modify the affine channel fuse
    3. add condition_block_infer op
add interface for setting trt calib table dir
test=develop

* add the missing files.
test=develop

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

refine trt first run
add quant dequant fuse pass
omit simplify_anakin_priorbox_detection template
omit transpose_flatten_concat_fuse template
test=develop

* modify the interface of Pass::Allay
test=develop

* Polish code
test=develop

* Fix Travis CI
test=develop

* fix Pass::Apply interface
test=develop

* Fix Travis CI
test=develop

2. refine trt code
test=develop

support change input size

add if use static engine for trt
test=develop

test=develop

test=develop

1). add static trt load model
2). fix bug: when device_id is not 0, the trt will have a bug
test=develop

add simple static mode loading
test=develop

test=develop

1. bind trt input and output to fluid tensors

add if use static engine for trt
test=develop

test=develop

test=develop

1). add static trt load model
2). fix bug: when device_id is not 0, the trt will have a bug
test=develop

add simple static mode loading
test=develop

test=develop

1. bind trt input and output to fluid tensors

test=develop

fix comments

test=develop

test=develop