Endpoint returns 500 when following examples

[Cesar199999]

While following the examples in the decision_tree.ipynb and linear_regression.ipynb tutorials, I got the following error when calling model.predict() on the GizaModel object:

14:48:23.097 | ERROR   | giza_actions.model - An error occurred in predict: 500 Server Error: Internal Server Error for url: https://endpoint-cesar-[endpoint id].a.run.app/cairo_run

14:48:23.099 | ERROR   | giza_actions.model - Deployment predict error: Running the Cairo  programm failed

All previous cells ran successfully (transpilation, login, deployment, getting the workspace, etc.). Furthermore, calling model.predict() when verifiable=False seems to work, since I'm able to see the successful deployment in the dashboard.

I've tried to send the input myself using the requests library:

import requests
payload = " ".join(
    [
        serializer(create_tensor_from_array(
            input,
            "FP16x16"
        ))
    ]
)
response = requests.post("https://endpoint-cesar-[endpoint id].a.run.app/cairo_run", json=payload)

However, the same error persists.

[raphaelDkhn]

Thanks @Cesar199999 for reporting the issue. We are fixing this. It's an issue we are encountering with models running on our gcp. I let you know when this is fixed

[Gonmeso]

Errors have been improved in the platform and logs retrieval have been added on failed on #60