【25-Q3-生态建设】模型迁移-研发效能部-模型训练-在PyTorch框架上支持continual-learning在MNIST数据集上的训练#441
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【25-Q3-生态建设】模型迁移-研发效能部-模型训练-在PyTorch框架上支持continual-learning在MNIST数据集上的训练#441Hyun-hu wants to merge 1 commit intoTecorigin:mainfrom
Hyun-hu wants to merge 1 commit intoTecorigin:mainfrom
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软件栈版本

--------------+----------------------------------------------
Host IP | 127.0.1.1
PyTorch | 2.4.0a0+git4451b0e
Torch-SDAA | 2.0.0
--------------+----------------------------------------------
SDAA Driver | 2.2.0b2 (N/A)
SDAA Runtime | 2.0.0 (/opt/tecoai/lib64/libsdaart.so)
SDPTI | 1.3.1 (/opt/tecoai/lib64/libsdpti.so)
TecoDNN | 2.0.0 (/opt/tecoai/lib64/libtecodnn.so)
TecoBLAS | 2.0.0 (/opt/tecoai/lib64/libtecoblas.so)
CustomDNN | 1.22.0 (/opt/tecoai/lib64/libtecodnn_ext.so)
TecoRAND | 1.8.0 (/opt/tecoai/lib64/libtecorand.so)
TCCL | 1.21.0 (/opt/tecoai/lib64/libtccl.so)
--------------+----------------------------------------------
工作目录:PyTorch/contrib/other/continual-learning
适配内容:使用1张TECO_AICARD_01芯片,在PyTorch框架上支持continual-learning在MNIST数据集上的训练
运行脚本见模型readme
MeanRelativeError: -0.121553406
MeanAbsoluteError: 0.00038663193
Rule,mean_relative_error -0.121553406
pass mean_relative_error=-0.121553406 <= 0.05 or mean_absolute_error=0.00038663193 <= 0.0002