| @@ -1,2 +1,29 @@ | |||||
| # OpenI_Cloudbrain_Example | # OpenI_Cloudbrain_Example | ||||
| # 如何在启智平台上进行模型调试和训练 | |||||
| ## 1. openi的python sdk使用方法 | |||||
| 安装openi包 | |||||
| ``` | |||||
| pip install -U openi | |||||
| ``` | |||||
| 使用openi包 | |||||
| ``` | |||||
| #导入包 | |||||
| from openi.context import prepare, upload_openi | |||||
| #初始化导入数据集和预训练模型到容器内 | |||||
| openi_context = prepare() | |||||
| #获取数据集路径,预训练模型路径,输出路径 | |||||
| dataset_path = openi_context.dataset_path | |||||
| pretrain_model_path = openi_context.pretrain_model_path | |||||
| output_path = openi_context.output_path | |||||
| #回传结果到openi,训练任务才能回传,调试任务回传后也是不支持下载 | |||||
| upload_openi() | |||||
| ``` | |||||
| @@ -0,0 +1,16 @@ | |||||
| #安装包 | |||||
| import os | |||||
| os.system('pip install -U openi') | |||||
| #导入包 | |||||
| from openi.context import prepare, upload_openi | |||||
| #初始化导入数据集和预训练模型到容器内 | |||||
| openi_context = prepare() | |||||
| #获取数据集路径,预训练模型路径,输出路径 | |||||
| dataset_path = openi_context.dataset_path | |||||
| pretrain_model_path = openi_context.pretrain_model_path | |||||
| output_path = openi_context.output_path | |||||
| #回传结果到openi | |||||
| upload_openi() | |||||