* add elementwise pool2d, prelu, shuffle channel
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* add scale and refine concat eltwise conveter
test=develop

* refine elementwise converter
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* refine ut test and enforce error.
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* modify const cast
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* refine act conv2d pool2d fc, trt converter log
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* fix comments
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Revert "[Paddle-TRT] Add hard_sigmoid and hard_swish support(support MobilenetV3) (#23536)", test=develop (#23642)

This reverts commit cdc6d4e2.

* add hard_sigmoid trt op converter

* add hard_swish op converter and plugin. test=develop

* add full_like op. test=develop

* add dygraph support. test=develop

* increase coverage. test=develop

test=develop

* add dynamic plugin support.
test=develop

* change emb eltwise layernorm to math function
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* add emb eltwise layernorm
test=develop

* can run dynamic shape ernie
test=develop

* fix ci
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* 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
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* fix ci error
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[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

faster build by reduce by-product, reduce linking library and fix compile warning of std=c++11 (#22164)

* add TRT support for instance_norm op

* add gelu plugin

* align trt bert with gpu

* add support for fused fc with relu,

* add unittest for bert trt

* refine trt int8 for dynamic range set
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* refine trt int8
test=develop

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 trt bugs when sharing params, test=develop

* add unittest for cascade_rcnn

* paddle::framework::vectorize() templatization

test=develop

* update pybind/imperative.cc

test=develop

* revert update on unsqueeze_op.cc and warpctc_cudnn_op.cu.cc

test=develop

* add tensorrt support for windows

* 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

* update paddle-trt for:
    1. fix bug: when batch > 2, core in split plugin.
    2. add leaky_relu trt5.0 support (yolov3 from 65ms to 42ms.)
    3. add new attr to dropout.
    4. shuffle channel, swish, relu6 support
    test=develop

* 1. fix ci
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

ban all trt ut. will fix it later.

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

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