【25-Q4-生态建设】模型迁移-研发效能部-模型训练-在PyTorch框架上支持 DETR 在Cifar100上的训练#453
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x0212wwl wants to merge 3 commits intoTecorigin:mainfrom
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【25-Q4-生态建设】模型迁移-研发效能部-模型训练-在PyTorch框架上支持 DETR 在Cifar100上的训练#453x0212wwl wants to merge 3 commits intoTecorigin:mainfrom
x0212wwl wants to merge 3 commits intoTecorigin:mainfrom
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● 当前软件栈版本：
● 源码参考链接：https://github.com/open-mmlab/mmdetection/blob/main/README_zh-CN.md
● commit id：x0212wwl@ https://github.com/x0212wwl
● 工作目录：PyTorch/build-in/Detection/DETR/
● 训练内容：使用1张TECO_AICARD_01芯片，在PyTorch框架上支持 DETR 在 COCO 数据集上的训练。
● 运行脚本如下：
SDAA_VISIBLE_DEVICES=8,9,10,11 python weloTrain.py --name train --model detr --steps 100 --datapath ../data --batch-size 8 | tee detrCOCOSdaa.log
● 100iters损失：
MeanRelativeError: 0.011905069239380396
MeanAbsoluteError: 0.16299300000000003
Rule,mean_relative_error 0.011905069239380396
pass mean_relative_error=np.float64(0.011905069239380396) <= 0.05 or mean_absolute_error=np.float64(0.16299300000000003) <= 0.0002