async function deployModel()

in ai-platform/snippets/deploy-model.js [51:142]


  async function deployModel() {
    // Configure the parent resource
    // 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
    const trafficSplit = {0: 100};
    const deployedModel = {
      // format: 'projects/{project}/locations/{location}/models/{model}'
      model: modelName,
      displayName: deployedModelDisplayName,
      automaticResources: {minReplicaCount: 1, maxReplicaCount: 1},
    };
    const request = {
      endpoint,
      deployedModel,
      trafficSplit,
    };

    // Get and print out a list of all the endpoints for this resource
    const [response] = await endpointServiceClient.deployModel(request);
    console.log(`Long running operation : ${response.name}`);

    // Wait for operation to complete
    await response.promise();
    const result = response.result;

    console.log('Deploy model response');
    const modelDeployed = result.deployedModel;
    console.log('\tDeployed model');
    if (!modelDeployed) {
      console.log('\t\tId : {}');
      console.log('\t\tModel : {}');
      console.log('\t\tDisplay name : {}');
      console.log('\t\tCreate time : {}');

      console.log('\t\tDedicated resources');
      console.log('\t\t\tMin replica count : {}');
      console.log('\t\t\tMachine spec {}');
      console.log('\t\t\t\tMachine type : {}');
      console.log('\t\t\t\tAccelerator type : {}');
      console.log('\t\t\t\tAccelerator count : {}');

      console.log('\t\tAutomatic resources');
      console.log('\t\t\tMin replica count : {}');
      console.log('\t\t\tMax replica count : {}');
    } else {
      console.log(`\t\tId : ${modelDeployed.id}`);
      console.log(`\t\tModel : ${modelDeployed.model}`);
      console.log(`\t\tDisplay name : ${modelDeployed.displayName}`);
      console.log(`\t\tCreate time : ${modelDeployed.createTime}`);

      const dedicatedResources = modelDeployed.dedicatedResources;
      console.log('\t\tDedicated resources');
      if (!dedicatedResources) {
        console.log('\t\t\tMin replica count : {}');
        console.log('\t\t\tMachine spec {}');
        console.log('\t\t\t\tMachine type : {}');
        console.log('\t\t\t\tAccelerator type : {}');
        console.log('\t\t\t\tAccelerator count : {}');
      } else {
        console.log(
          `\t\t\tMin replica count : \
            ${dedicatedResources.minReplicaCount}`
        );
        const machineSpec = dedicatedResources.machineSpec;
        console.log('\t\t\tMachine spec');
        console.log(`\t\t\t\tMachine type : ${machineSpec.machineType}`);
        console.log(
          `\t\t\t\tAccelerator type : ${machineSpec.acceleratorType}`
        );
        console.log(
          `\t\t\t\tAccelerator count : ${machineSpec.acceleratorCount}`
        );
      }

      const automaticResources = modelDeployed.automaticResources;
      console.log('\t\tAutomatic resources');
      if (!automaticResources) {
        console.log('\t\t\tMin replica count : {}');
        console.log('\t\t\tMax replica count : {}');
      } else {
        console.log(
          `\t\t\tMin replica count : \
            ${automaticResources.minReplicaCount}`
        );
        console.log(
          `\t\t\tMax replica count : \
            ${automaticResources.maxReplicaCount}`
        );
      }
    }
  }