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[Paddle TensorRT] Refactor subgrah segmentation and operator convter of Paddle TensorRT base on PIR. by lizexu123 · Pull Request #67054 · PaddlePaddle/Paddle · GitHub
qingqing01
changed the title
[Paddle TensorRT] pir support TensorRT 8.x
[Paddle TensorRT] Refactor subgrah segmentation and operator convter of Paddle TensorRT base on PIR.
Aug 8, 2024
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[Paddle TensorRT] Refactor subgrah segmentation and operator convter of Paddle TensorRT base on PIR. #67054
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… pir_trt_marker
qingqing01
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YuanRisheng
previously approved these changes
Aug 13, 2024
YuanRisheng
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Aug 13, 2024
| @@ -0,0 +1,234 @@ | |||
| # Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved | |||
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这个文件应该放到单测目录下，可以下个PR修改一下
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已移动到test/tensorrt下
qingqing01
approved these changes
Aug 14, 2024
YuanRisheng
approved these changes
Aug 14, 2024
zhangbo9674
approved these changes
Aug 14, 2024
yuanlehome
approved these changes
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XiaoguangHu01
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LGTM
phlrain
approved these changes
Aug 14, 2024
Aurelius84
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LGTM
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PR Category
Inference
PR Types
New features
Description
card-71500
Paddle TensorRT整体分为5大模块:
本PR完成了以下3大模块:
2.Marker Pass:用来标记Op是否可以进入TensorRT子图
3.Partition Pass:子图切割，用来将标记好的Op划分成一个子图，该子图作为一个TensorRT Group
4.TensorRT Converter:将分割好的TensorRT Group中的Paddle算子进行映射，变为一个TensorRT子图并在PIR Program中创建TensorRT EngineOP
其余模块见pr#64995
1.Warmup and Collect Shape:用来收集以及分析PIR Program中各个算子的输入Shape的最大值、最小值及最优值，为后续TensorRT Engine的构建提供shape信息
5.TensorRT Engine Instruction：执行构建好的TensorRTEngineOp，并将TensorRT引擎中的输入输出数据与Paddle执行框架中的数据进行交换与更新