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2 years ago | |
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| gcu_mnist_example | 2 years ago | |
| gpgpu_mnist_example | 2 years ago | |
| gpu_mnist_example | 2 years ago | |
| npu_mnist_example | 2 years ago | |
| README.md | 2 years ago | |
README.md
如何在启智平台上进行模型调试和训练
1. sdk使用方法
使用c2net的SDK方式
#导入包
from c2net.context import prepare, upload_output
#初始化导入数据集和预训练模型到容器内
c2net_context = prepare()
#获取代码路径，数据集路径，预训练模型路径，输出路径
code_path = c2net_context.code_path
dataset_path = c2net_context.dataset_path
pretrain_model_path = c2net_context.pretrain_model_path
output_path = c2net_context.output_path
#必须将输出结果保存到c2net_context.output_path，才能回传结果到openi，并且训练任务才能回传，调试任务回传后暂时不支持下载
upload_output()
2. 手写数字识别示例
- GPU示例请参考gpu_mnist_example
- GPGPU示例请参考gpgpu_mnist_example
- NPU示例请参考npu_mnist_example
- GCU示例请参考gcu_mnist_example