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花說夢 9593da975f | 4 months ago | |
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TopsRider_samples | 4 months ago | |
1.sh | 4 months ago | |
README.md | 4 months ago | |
run_bert_large.py | 4 months ago | |
run_bert_large_8card.py | 4 months ago | |
run_deeplabv3.py | 4 months ago | |
run_deeplabv3_8card.py | 4 months ago | |
run_transformer.py | 4 months ago | |
run_transformer_8card.py | 4 months ago | |
run_wide_deep_8card.py | 4 months ago |
本项目以GCU + PaddlePaddle2.5.1框架单卡/多卡 deeplabv3、wide_deep、bert_large、transformer等基础示例,旨在为AI开发者提供启智CV、NLP等多场景的训练参考。
“智算网络集群” -> “GCU” -> 按需选择“镜像/启动文件/数据集/资源规格” -> “新建训练任务”。
镜像:gcu2.4.136_ubuntu20.04_py3_pytorch_paddle
启动文件:run_bert_large,8卡则填写“ run_bert_large_8card.py”,其他模型以此类推,资源规格根据启动文件选择单卡或8卡。
数据集:paddle_bert_large.zip(选择数据集->公开数据集->搜索“gcu”->选择GCU Dataset->勾选paddle_bert_large.zip),数据集与模型对应关系参考如下表格:
数据集 对应模型
wide_deep criteo.zip
Transformer transformer_paddle.zip
deeplabv3 VOC2012_pytorch_deepLabV3.zip
bert_large paddle_bert_large.zip
本任务AI框架(paddle)和任务方式(调试/训练任务)自由组合,每种组合跑通1个模型加15积分,模型最大数量=5个,单卡任务,要求对超参或代码至少有一处修改并在结果评论时加以说明,如epoch、batchsize、lr、opt、seq_len等,对epoch和精度没有强要求,要求对结果训练进行截图
Python Roff Text Gettext Catalog C++ other
Dear OpenI User
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