【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 Weakly-supervised (WSL) ImageNet tuned ResNeXt101在Cifar100上的训练#448
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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 Weakly-supervised (WSL) ImageNet tuned ResNeXt101在Cifar100上的训练#448x0212wwl 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/huggingface/pytorch-image-models
● commit id：x0212wwl@ https://github.com/x0212wwl
● 工作目录：PyTorch/build-in/classification/WSL/
● 训练内容：使用1张TECO_AICARD_01芯片，在PyTorch框架上支持WSL在Cifar100数据集上的训练。
● 运行脚本如下：
SDAA_VISIBLE_DEVICES=8,9,10,11 python weloTrain.py --arch wsl --print_freq 1 --steps 100 --dataset cifar100 --datapath ./data --batch_size 32 --epochs 100 | tee wslCifar100Sdaa.log
● 100iters损失：
MeanRelativeError: 0.21177797180537763
MeanAbsoluteError: -0.7045670000000004
Rule,mean_absolute_error -0.7045670000000004
pass mean_relative_error=0.21177797180537763 <= 0.05 or mean_absolute_error=-0.7045670000000004 <= 0.0002