LAB-01 Unable to create model resource & model version about mlops-on-gcp HOT 3 OPEN

To me the problem was that the parameter --region wasn't properly "set" (or dunno what is going on in the background) to the region I requested.

The following command
gcloud ai-platform models create ${MODEL_NAME} --region=${REGION}
leads to the model creation with :

• displaying the appropriate region, I assume since I see it in the Cloud console
• not displaying the asked region, since only gcloud ai-platform models list --region=global displayed the model created

I'm not sure what's going on here and why, but doing --region=global resolve my versions create issue (same as yours) even if my model is on the region I asked (? maybe since the Cloud console is confirming it).

from mlops-on-gcp.

Adding 2>/dev/null seems to help but would like to see if there are better workarounds

### Under "Create a model resource"
models = !(gcloud ai-platform models list --filter={filter} --format='value(name)' 2>/dev/null )

### Under "Create a model version"
versions = !(gcloud ai-platform versions list --model={model_name} --format='value(name)' --filter={filter} 2>/dev/null )

from mlops-on-gcp.

@pbavinck did you find a way workaround this issue?
I've been following the quick-start to make a deploy script:

set -v

# This has to be run after train-cloud.sh is successfully executed

export MODEL_VERSION=v1
export REGION=us-east1

FRAMEWORK=tensorflow
MODEL_NAME=SegModel
MODEL_DIR=gs://model_storage_test/keras-job-dir/keras_export

echo "First, creating the model resource..."
gcloud ai-platform models create ${MODEL_NAME} --regions=${REGION}

echo "Second, creating the model version..."
gcloud ai-platform versions create ${MODEL_VERSION} \
  --model ${MODEL_NAME} \
  --origin ${MODEL_DIR} \
  --framework ${FRAMEWORK} \
  --runtime-version=${RUNTIME_VERSION} \
  --python-version=${PYTHON_VERSION} \
  --region=${REGION}

set -

However, it keeps complaining that the model resource was not found either

from mlops-on-gcp.