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README.md 1.1 kB

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  1. # 如何在启智平台上进行模型调试和训练
  2. ## 1. sdk使用方法
  3. 安装c2net包
  4. ```
  5. pip install -U c2net
  6. ```
  7. 使用c2net的SDK方式
  8. ```
  9. #导入包
  10. from c2net.context import prepare, upload_output
  11. #初始化导入数据集和预训练模型到容器内
  12. c2net_context = prepare()
  13. #获取代码路径,数据集路径,预训练模型路径,输出路径
  14. code_path = c2net_context.code_path
  15. dataset_path = c2net_context.dataset_path
  16. pretrain_model_path = c2net_context.pretrain_model_path
  17. output_path = c2net_context.output_path
  18. #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
  19. upload_output()
  20. ```
  21. ## 2. 手写数字识别示例
  22. * GPU示例请参考[gpu_mnist_example](./gpu_mnist_example/README.md)
  23. * GPGPU示例请参考[gpgpu_mnist_example](./gpgpu_mnist_example/README.md)
  24. * NPU示例请参考[npu_mnist_example](./npu_mnist_example/README.md)
  25. * GCU示例请参考[gcu_mnist_example](./gcu_mnist_example/README.md)

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