title: Vertex AI Endpoints - Failed to create endpoint
body: <p>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 <code>export_saved_model</code> for estimators. In this bucket there is the <code>saved_model.pb</code> file with the folder <code>variables</code>.
  However, when I try to create an endpoint selecting the path to the saved model, the following error occurs:</p>
  <p><code>Failed to create endpoint &quot;endpoint_name&quot; 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].</code></p>
  <p>It seems it is searching the .pb file in a bucket that is not the one I set.
  Suggestions?</p>