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What Should I Do If an Error Occurs During Service Deployment?
Updated on 2023-11-22 GMT+08:00
What Should I Do If an Error Occurs During Service Deployment?
Before deploying a model as a service, edit the configuration file and inference code based on the trained model.
If the confi.json configuration file or the customize_service.py inference code is missing in the model storage path, an error is displayed, as shown in the following figure.
Solutions:
Write the configuration file and inference code, and save them to the OBS directory where the model to be deployed resides. For details, see Introduction to Model Package Specifications.
Figure 1 Error
Parent topic: Using PyCharm Toolkit
Using PyCharm Toolkit FAQs
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- What Should I Do If Error "NoSuchKey" Occurs When PyCharm Toolkit Is Used to Submit a Training Job?
- What Should I Do If an Error Occurs During Service Deployment?
- How Do I View Error Logs of PyCharm Toolkit?
- How Do I Use PyCharm ToolKit to Create Multiple Jobs for Simultaneous Training?
- What Should I Do If "Error occurs when accessing to OBS" Is Displayed When PyCharm ToolKit Is Used?
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