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Example 1 with AutomaticResources

use of com.google.cloud.aiplatform.v1.AutomaticResources in project java-aiplatform by googleapis.

the class DeployModelSample method deployModelSample.

static void deployModelSample(String project, String deployedModelDisplayName, String endpointId, String modelId) throws IOException, InterruptedException, ExecutionException, TimeoutException {
    EndpointServiceSettings endpointServiceSettings = EndpointServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create(endpointServiceSettings)) {
        String location = "us-central1";
        EndpointName endpointName = EndpointName.of(project, location, endpointId);
        // key '0' assigns traffic for the newly deployed model
        // Traffic percentage values must add up to 100
        // Leave dictionary empty if endpoint should not accept any traffic
        Map<String, Integer> trafficSplit = new HashMap<>();
        trafficSplit.put("0", 100);
        ModelName modelName = ModelName.of(project, location, modelId);
        AutomaticResources automaticResourcesInput = AutomaticResources.newBuilder().setMinReplicaCount(1).setMaxReplicaCount(1).build();
        DeployedModel deployedModelInput = DeployedModel.newBuilder().setModel(modelName.toString()).setDisplayName(deployedModelDisplayName).setAutomaticResources(automaticResourcesInput).build();
        OperationFuture<DeployModelResponse, DeployModelOperationMetadata> deployModelResponseFuture = endpointServiceClient.deployModelAsync(endpointName, deployedModelInput, trafficSplit);
        System.out.format("Operation name: %s\n", deployModelResponseFuture.getInitialFuture().get().getName());
        System.out.println("Waiting for operation to finish...");
        DeployModelResponse deployModelResponse = deployModelResponseFuture.get(20, TimeUnit.MINUTES);
        System.out.println("Deploy Model Response");
        DeployedModel deployedModel = deployModelResponse.getDeployedModel();
        System.out.println("\tDeployed Model");
        System.out.format("\t\tid: %s\n", deployedModel.getId());
        System.out.format("\t\tmodel: %s\n", deployedModel.getModel());
        System.out.format("\t\tDisplay Name: %s\n", deployedModel.getDisplayName());
        System.out.format("\t\tCreate Time: %s\n", deployedModel.getCreateTime());
        DedicatedResources dedicatedResources = deployedModel.getDedicatedResources();
        System.out.println("\t\tDedicated Resources");
        System.out.format("\t\t\tMin Replica Count: %s\n", dedicatedResources.getMinReplicaCount());
        MachineSpec machineSpec = dedicatedResources.getMachineSpec();
        System.out.println("\t\t\tMachine Spec");
        System.out.format("\t\t\t\tMachine Type: %s\n", machineSpec.getMachineType());
        System.out.format("\t\t\t\tAccelerator Type: %s\n", machineSpec.getAcceleratorType());
        System.out.format("\t\t\t\tAccelerator Count: %s\n", machineSpec.getAcceleratorCount());
        AutomaticResources automaticResources = deployedModel.getAutomaticResources();
        System.out.println("\t\tAutomatic Resources");
        System.out.format("\t\t\tMin Replica Count: %s\n", automaticResources.getMinReplicaCount());
        System.out.format("\t\t\tMax Replica Count: %s\n", automaticResources.getMaxReplicaCount());
    }
}
Also used : ModelName(com.google.cloud.aiplatform.v1.ModelName) HashMap(java.util.HashMap) DedicatedResources(com.google.cloud.aiplatform.v1.DedicatedResources) MachineSpec(com.google.cloud.aiplatform.v1.MachineSpec) DeployedModel(com.google.cloud.aiplatform.v1.DeployedModel) DeployModelResponse(com.google.cloud.aiplatform.v1.DeployModelResponse) DeployModelOperationMetadata(com.google.cloud.aiplatform.v1.DeployModelOperationMetadata) EndpointName(com.google.cloud.aiplatform.v1.EndpointName) AutomaticResources(com.google.cloud.aiplatform.v1.AutomaticResources) EndpointServiceClient(com.google.cloud.aiplatform.v1.EndpointServiceClient) EndpointServiceSettings(com.google.cloud.aiplatform.v1.EndpointServiceSettings)

Aggregations

AutomaticResources (com.google.cloud.aiplatform.v1.AutomaticResources)1 DedicatedResources (com.google.cloud.aiplatform.v1.DedicatedResources)1 DeployModelOperationMetadata (com.google.cloud.aiplatform.v1.DeployModelOperationMetadata)1 DeployModelResponse (com.google.cloud.aiplatform.v1.DeployModelResponse)1 DeployedModel (com.google.cloud.aiplatform.v1.DeployedModel)1 EndpointName (com.google.cloud.aiplatform.v1.EndpointName)1 EndpointServiceClient (com.google.cloud.aiplatform.v1.EndpointServiceClient)1 EndpointServiceSettings (com.google.cloud.aiplatform.v1.EndpointServiceSettings)1 MachineSpec (com.google.cloud.aiplatform.v1.MachineSpec)1 ModelName (com.google.cloud.aiplatform.v1.ModelName)1 HashMap (java.util.HashMap)1