【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 VovNet V2 and V1在Cifar100上的训练#393
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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 VovNet V2 and V1在Cifar100上的训练#393x0212wwl wants to merge 4 commits intoTecorigin:mainfrom
x0212wwl wants to merge 4 commits intoTecorigin:mainfrom
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● 当前软件栈版本：
● 源码参考链接：https://github.com/huggingface/pytorch-image-models
● commit id：x0212wwl@ https://github.com/x0212wwl
● 工作目录：PyTorch/build-in/classification/VovNet/
● 训练内容：使用1张TECO_AICARD_01芯片，在PyTorch框架上支持VovNet在Cifar100数据集上的训练。
● 运行脚本如下：
SDAA_VISIBLE_DEVICES=8,9,10,11 weloTrain.py --arch vovnetv1 --dataset cifar100 --datapath ./data --batch_size 32 --epochs 100 | tee vovnetv1Cifar100Sdaa.log
SDAA_VISIBLE_DEVICES=8,9,10,11 weloTrain.py --arch vovnetv2 --dataset cifar100 --datapath ./data --batch_size 32 --epochs 100 | tee vovnetv2Cifar100Sdaa.log
● 100iters损失：
MeanRelativeError: -0.057127017790560425
MeanAbsoluteError: -0.7131010000000001
Rule,mean_absolute_error -0.7131010000000001
pass mean_relative_error=-0.057127017790560425 <= 0.05 or mean_absolute_error=-0.7131010000000001 <= 0.0002