I'm having trouble with my TensorFlow Serving API. It keeps returning a 404 error. What should I do?
A 404 error usually means that the requested resource could not be found. First, check if the model is correctly loaded and the endpoint is properly defined.
How can I verify if my model is loaded correctly?
You can check the TensorFlow Serving logs for any errors during model loading. Additionally, you can use the /v1/models/{model_name}
endpoint to see the status of your model.
What if the model is loaded but I'm still getting errors?
If the model is loaded but you're still encountering issues, ensure that the input data format matches the expected format of the model. You can also check the API request payload for any discrepancies.
Is there a way to get more detailed error messages from the API?
Yes, you can enable verbose logging in TensorFlow Serving to get more detailed error messages. This can help you diagnose the issue more effectively.
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