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[Inference]Add PIR-TRT base unittest by YuanRisheng · Pull Request #67568 · PaddlePaddle/Paddle · GitHub
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[Inference]Add PIR-TRT base unittest #67568
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你的PR提交成功，感谢你对开源项目的贡献! |
XieYunshen
previously approved these changes
Aug 27, 2024
XieYunshen
previously approved these changes
Aug 28, 2024
XieYunshen
previously approved these changes
Aug 28, 2024
XieYunshen
previously approved these changes
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XieYunshen
previously approved these changes
Aug 29, 2024
XieYunshen
approved these changes
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zhangbo9674
approved these changes
Aug 30, 2024
lizexu123
reviewed
Aug 30, 2024
| phi::DataLayout::ALL_LAYOUT, | ||
| phi::LoD(), | ||
| 0)); | ||
| if (outputs_dtype[i] == phi::DataType::UNDEFINED) { |
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这里outputs_dtype[i]是什么类型啊，按照PIR里面，默认是NCHW吗
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output_dtype没有和nchw没关系
lizexu123
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XiaoguangHu01
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LGTM
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PR Category
Inference
PR Types
Others
Description
card-71500
本PR做了如下工作：
1，PIR-TRT单测基类TensorRTBaseTest设计实现，支持测试以算子为基础单元的TRT功能
2，改写优化现有的Marker单测(add/batch_norm/concat/conv2d/full/flatten)，并同步改写为Converter + Marker全链条测试
3，解决无法通过空输入构建TensorRTEngineOp的问题
4，解决TRT算子输出与Paddle算子输出未对齐场景下Converter异常问题
5，解决Converter模块输入min/max shape计算异常的问题，并优化TRT输出LOG