Error when creating model version on GCP AI Platform

1
votes

I am trying to create a version of the model and link it to my exported Tensorflow model. however it gives me the following error : health probe timeout: generic::unavailable: The fetch failed with status 3 and reason: UNREACHABLE_5xx Check the url is available and that authentication parameters are specified correctly.

I have made my SaveModel directory public and have attached service-xxxxxxxxxxxx@cloud-ml.google.com.iam.gserviceaccount.com to my bucket with Storage Legacy Bucket Reader. My service account service-xxxxxxxxxxxx@cloud-ml.google.com.iam.gserviceaccount.com has role ML Engine Admin and Storage Admin. The bucket and ml-engine are part of the same project and region us-central1. I am initialising the model version with the following config: 

Python version: 2.7
Framework: TensorFlow
Framework version: 1.12.3
Runtime version: 1.12
Machine type: n1-highmem-2
Accelerator: Nvidia Tesla K-80 
Accelerator count: 1

Note : I used python 2.7 for training and runtime version 1.12

1
google-cloud-ml

1 Answers

0
votes

Can you verify Saved model is valid by using CLI. Check that Serving tag-sets are available in your saved model, use the SavedModel CLI: 

saved_model_cli show --dir <your model directory>