[SOLVED] What should be used for deployed_model in DeployModelRequest in Vertex AI pipeline?

What should be used for deployed_model in DeployModelRequest in Vertex AI pipeline?

i am trying to deploy a model in Vertex AI pipeline component using DeployModelRequest. I try to get the model using GetModelRequest

    model_name = f'projects/{project}/locations/{location}/models/{model_id}'
    model_request = aiplatform_v1.types.GetModelRequest(name=model_name)
    model_info = client_model.get_model(request=model_request)       
    
    deploy_request = aiplatform_v1.types.DeployModelRequest(endpoint=end_point, 
                                                                deployed_model=model_info)
    client.deploy_model(request=deploy_request)

but this gives:

TypeError: Parameter to MergeFrom() must be instance of same class: expected 
google.cloud.aiplatform.v1.DeployedModel got Model

I have also tried deployed_model=model_info.deployed_models[0] but this gave:

TypeError: Parameter to MergeFrom() must be instance of same class: expected
 google.cloud.aiplatform.v1.DeployedModel got DeployedModelRef.

So what do I use for deployed_model?

Solution

As simple as:

machine_spec = MachineSpec(machine_type="n1-standard-2")
dedicated_resources = DedicatedResources(machine_spec=machine_spec, 
                                         min_replica_count=1, 
                                         max_replica_count=1)
depmodel= DeployedModel(model=model_name, dedicated_resources=dedicated_resources) 

deploy_request = aiplatform_v1.types.DeployModelRequest(
                   endpoint=end_point, deployed_model=depmodel, 
                   traffic_split={'0':100})
client.deploy_model(request=deploy_request)