Function main

ai-platform/snippets/export-model.js:19–77

(
  modelId,
  gcsDestinationOutputUriPrefix,
  exportFormat,
  project,
  location = 'us-central1'
)

'use strict';

async function main(
  modelId,
  gcsDestinationOutputUriPrefix,
  exportFormat,
  project,
  location = 'us-central1'
) {
  // [START aiplatform_export_model_sample]
  /**
   * TODO(developer): Uncomment these variables before running the sample.\
     (Not necessary if passing values as arguments)
   */

  // const modelId = 'YOUR_MODEL_ID';
  // const gcsDestinationOutputUriPrefix ='YOUR_GCS_DEST_OUTPUT_URI_PREFIX';
  //    eg. "gs://<your-gcs-bucket>/destination_path"
  // const exportFormat = 'YOUR_EXPORT_FORMAT';
  // const project = 'YOUR_PROJECT_ID';
  // const location = 'YOUR_PROJECT_LOCATION';

  // Imports the Google Cloud Model Service Client library
  const {ModelServiceClient} = require('@google-cloud/aiplatform');

  // Specifies the location of the api endpoint
  const clientOptions = {
    apiEndpoint: 'us-central1-aiplatform.googleapis.com',
  };

  // Instantiates a client
  const modelServiceClient = new ModelServiceClient(clientOptions);

  async function exportModel() {
    // Configure the name resources
    const name = `projects/${project}/locations/${location}/models/${modelId}`;
    // Configure the outputConfig resources
    const outputConfig = {
      exportFormatId: exportFormat,
      gcsDestination: {
        outputUriPrefix: gcsDestinationOutputUriPrefix,
      },
    };
    const request = {
      name,
      outputConfig,
    };

    // Export Model request
    const [response] = await modelServiceClient.exportModel(request);
    console.log(`Long running operation : ${response.name}`);

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

    console.log(`Export model response : ${JSON.stringify(result)}`);
  }
  exportModel();
  // [END aiplatform_export_model_sample]