'Vertex AI Endpoints - Failed to create endpoint
I'm trying to deploy a custom model to an endpoint with Vertex AI. I run the custom training and the model was correctly created in my bucket using Tensorflow 2 export_saved_model for estimators. In this bucket there is the saved_model.pb file with the folder variables.
However, when I try to create an endpoint selecting the path to the saved model, the following error occurs:
Failed to create endpoint "endpoint_name" due to error: APPLICATION_ERROR; google.cloud.ml.v1/ModelService.CreateVersion;Field: version.deployment_uri Error: Deployment directory gs://different_bucket/artifacts/ is expected to contain exactly one of: [saved_model.pb, saved_model.pbtxt].
It seems it is searching the .pb file in a bucket that is not the one I set. Suggestions?
Solution 1:[1]
I solved the problem changing the folder to pass during the endpoint creation. I have the model in the following path:
gs://my_bucket/my_folder/model/saved_model.pb
Instead of pointing to gs://my_bucket/my_folder/model/ I used gs://my_bucket/my_folder and it worked.
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Marco Abbatangelo |