xref: /external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/CustomJobSpec.java

/*
 * Copyright 2020 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/aiplatform/v1/custom_job.proto

package com.google.cloud.aiplatform.v1;

/**
 *
 *
 * <pre>
 * Represents the spec of a CustomJob.
 * </pre>
 *
 * Protobuf type {@code google.cloud.aiplatform.v1.CustomJobSpec}
 */
public final class CustomJobSpec extends com.google.protobuf.GeneratedMessageV3
    implements
    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1.CustomJobSpec)
    CustomJobSpecOrBuilder {
  private static final long serialVersionUID = 0L;
  // Use CustomJobSpec.newBuilder() to construct.
  private CustomJobSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
    super(builder);
  }

  private CustomJobSpec() {
    workerPoolSpecs_ = java.util.Collections.emptyList();
    serviceAccount_ = "";
    network_ = "";
    reservedIpRanges_ = com.google.protobuf.LazyStringArrayList.EMPTY;
    tensorboard_ = "";
    experiment_ = "";
    experimentRun_ = "";
  }

  @java.lang.Override
  @SuppressWarnings({"unused"})
  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
    return new CustomJobSpec();
  }

  @java.lang.Override
  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
    return this.unknownFields;
  }

  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    return com.google.cloud.aiplatform.v1.CustomJobProto
        .internal_static_google_cloud_aiplatform_v1_CustomJobSpec_descriptor;
  }

  @java.lang.Override
  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
    return com.google.cloud.aiplatform.v1.CustomJobProto
        .internal_static_google_cloud_aiplatform_v1_CustomJobSpec_fieldAccessorTable
        .ensureFieldAccessorsInitialized(
            com.google.cloud.aiplatform.v1.CustomJobSpec.class,
            com.google.cloud.aiplatform.v1.CustomJobSpec.Builder.class);
  }

  public static final int WORKER_POOL_SPECS_FIELD_NUMBER = 1;

  @SuppressWarnings("serial")
  private java.util.List<com.google.cloud.aiplatform.v1.WorkerPoolSpec> workerPoolSpecs_;
  /**
   *
   *
   * <pre>
   * Required. The spec of the worker pools including machine type and Docker
   * image. All worker pools except the first one are optional and can be
   * skipped by providing an empty value.
   * </pre>
   *
   * <code>
   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
   * </code>
   */
  @java.lang.Override
  public java.util.List<com.google.cloud.aiplatform.v1.WorkerPoolSpec> getWorkerPoolSpecsList() {
    return workerPoolSpecs_;
  }
  /**
   *
   *
   * <pre>
   * Required. The spec of the worker pools including machine type and Docker
   * image. All worker pools except the first one are optional and can be
   * skipped by providing an empty value.
   * </pre>
   *
   * <code>
   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
   * </code>
   */
  @java.lang.Override
  public java.util.List<? extends com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>
      getWorkerPoolSpecsOrBuilderList() {
    return workerPoolSpecs_;
  }
  /**
   *
   *
   * <pre>
   * Required. The spec of the worker pools including machine type and Docker
   * image. All worker pools except the first one are optional and can be
   * skipped by providing an empty value.
   * </pre>
   *
   * <code>
   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
   * </code>
   */
  @java.lang.Override
  public int getWorkerPoolSpecsCount() {
    return workerPoolSpecs_.size();
  }
  /**
   *
   *
   * <pre>
   * Required. The spec of the worker pools including machine type and Docker
   * image. All worker pools except the first one are optional and can be
   * skipped by providing an empty value.
   * </pre>
   *
   * <code>
   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
   * </code>
   */
  @java.lang.Override
  public com.google.cloud.aiplatform.v1.WorkerPoolSpec getWorkerPoolSpecs(int index) {
    return workerPoolSpecs_.get(index);
  }
  /**
   *
   *
   * <pre>
   * Required. The spec of the worker pools including machine type and Docker
   * image. All worker pools except the first one are optional and can be
   * skipped by providing an empty value.
   * </pre>
   *
   * <code>
   * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
   * </code>
   */
  @java.lang.Override
  public com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOrBuilder(
      int index) {
    return workerPoolSpecs_.get(index);
  }

  public static final int SCHEDULING_FIELD_NUMBER = 3;
  private com.google.cloud.aiplatform.v1.Scheduling scheduling_;
  /**
   *
   *
   * <pre>
   * Scheduling options for a CustomJob.
   * </pre>
   *
   * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
   *
   * @return Whether the scheduling field is set.
   */
  @java.lang.Override
  public boolean hasScheduling() {
    return scheduling_ != null;
  }
  /**
   *
   *
   * <pre>
   * Scheduling options for a CustomJob.
   * </pre>
   *
   * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
   *
   * @return The scheduling.
   */
  @java.lang.Override
  public com.google.cloud.aiplatform.v1.Scheduling getScheduling() {
    return scheduling_ == null
        ? com.google.cloud.aiplatform.v1.Scheduling.getDefaultInstance()
        : scheduling_;
  }
  /**
   *
   *
   * <pre>
   * Scheduling options for a CustomJob.
   * </pre>
   *
   * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
   */
  @java.lang.Override
  public com.google.cloud.aiplatform.v1.SchedulingOrBuilder getSchedulingOrBuilder() {
    return scheduling_ == null
        ? com.google.cloud.aiplatform.v1.Scheduling.getDefaultInstance()
        : scheduling_;
  }

  public static final int SERVICE_ACCOUNT_FIELD_NUMBER = 4;

  @SuppressWarnings("serial")
  private volatile java.lang.Object serviceAccount_ = "";
  /**
   *
   *
   * <pre>
   * Specifies the service account for workload run-as account.
   * Users submitting jobs must have act-as permission on this run-as account.
   * If unspecified, the [Vertex AI Custom Code Service
   * Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
   * for the CustomJob's project is used.
   * </pre>
   *
   * <code>string service_account = 4;</code>
   *
   * @return The serviceAccount.
   */
  @java.lang.Override
  public java.lang.String getServiceAccount() {
    java.lang.Object ref = serviceAccount_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      serviceAccount_ = s;
      return s;
    }
  }
  /**
   *
   *
   * <pre>
   * Specifies the service account for workload run-as account.
   * Users submitting jobs must have act-as permission on this run-as account.
   * If unspecified, the [Vertex AI Custom Code Service
   * Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
   * for the CustomJob's project is used.
   * </pre>
   *
   * <code>string service_account = 4;</code>
   *
   * @return The bytes for serviceAccount.
   */
  @java.lang.Override
  public com.google.protobuf.ByteString getServiceAccountBytes() {
    java.lang.Object ref = serviceAccount_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b =
          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
      serviceAccount_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int NETWORK_FIELD_NUMBER = 5;

  @SuppressWarnings("serial")
  private volatile java.lang.Object network_ = "";
  /**
   *
   *
   * <pre>
   * Optional. The full name of the Compute Engine
   * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
   * should be peered. For example, `projects/12345/global/networks/myVPC`.
   * [Format](/compute/docs/reference/rest/v1/networks/insert)
   * is of the form `projects/{project}/global/networks/{network}`.
   * Where {project} is a project number, as in `12345`, and {network} is a
   * network name.
   * To specify this field, you must have already [configured VPC Network
   * Peering for Vertex
   * AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).
   * If this field is left unspecified, the job is not peered with any network.
   * </pre>
   *
   * <code>
   * string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
   * </code>
   *
   * @return The network.
   */
  @java.lang.Override
  public java.lang.String getNetwork() {
    java.lang.Object ref = network_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      network_ = s;
      return s;
    }
  }
  /**
   *
   *
   * <pre>
   * Optional. The full name of the Compute Engine
   * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
   * should be peered. For example, `projects/12345/global/networks/myVPC`.
   * [Format](/compute/docs/reference/rest/v1/networks/insert)
   * is of the form `projects/{project}/global/networks/{network}`.
   * Where {project} is a project number, as in `12345`, and {network} is a
   * network name.
   * To specify this field, you must have already [configured VPC Network
   * Peering for Vertex
   * AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).
   * If this field is left unspecified, the job is not peered with any network.
   * </pre>
   *
   * <code>
   * string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
   * </code>
   *
   * @return The bytes for network.
   */
  @java.lang.Override
  public com.google.protobuf.ByteString getNetworkBytes() {
    java.lang.Object ref = network_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b =
          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
      network_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int RESERVED_IP_RANGES_FIELD_NUMBER = 13;

  @SuppressWarnings("serial")
  private com.google.protobuf.LazyStringList reservedIpRanges_;
  /**
   *
   *
   * <pre>
   * Optional. A list of names for the reserved ip ranges under the VPC network
   * that can be used for this job.
   * If set, we will deploy the job within the provided ip ranges. Otherwise,
   * the job will be deployed to any ip ranges under the provided VPC
   * network.
   * Example: ['vertex-ai-ip-range'].
   * </pre>
   *
   * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];</code>
   *
   * @return A list containing the reservedIpRanges.
   */
  public com.google.protobuf.ProtocolStringList getReservedIpRangesList() {
    return reservedIpRanges_;
  }
  /**
   *
   *
   * <pre>
   * Optional. A list of names for the reserved ip ranges under the VPC network
   * that can be used for this job.
   * If set, we will deploy the job within the provided ip ranges. Otherwise,
   * the job will be deployed to any ip ranges under the provided VPC
   * network.
   * Example: ['vertex-ai-ip-range'].
   * </pre>
   *
   * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];</code>
   *
   * @return The count of reservedIpRanges.
   */
  public int getReservedIpRangesCount() {
    return reservedIpRanges_.size();
  }
  /**
   *
   *
   * <pre>
   * Optional. A list of names for the reserved ip ranges under the VPC network
   * that can be used for this job.
   * If set, we will deploy the job within the provided ip ranges. Otherwise,
   * the job will be deployed to any ip ranges under the provided VPC
   * network.
   * Example: ['vertex-ai-ip-range'].
   * </pre>
   *
   * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];</code>
   *
   * @param index The index of the element to return.
   * @return The reservedIpRanges at the given index.
   */
  public java.lang.String getReservedIpRanges(int index) {
    return reservedIpRanges_.get(index);
  }
  /**
   *
   *
   * <pre>
   * Optional. A list of names for the reserved ip ranges under the VPC network
   * that can be used for this job.
   * If set, we will deploy the job within the provided ip ranges. Otherwise,
   * the job will be deployed to any ip ranges under the provided VPC
   * network.
   * Example: ['vertex-ai-ip-range'].
   * </pre>
   *
   * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];</code>
   *
   * @param index The index of the value to return.
   * @return The bytes of the reservedIpRanges at the given index.
   */
  public com.google.protobuf.ByteString getReservedIpRangesBytes(int index) {
    return reservedIpRanges_.getByteString(index);
  }

  public static final int BASE_OUTPUT_DIRECTORY_FIELD_NUMBER = 6;
  private com.google.cloud.aiplatform.v1.GcsDestination baseOutputDirectory_;
  /**
   *
   *
   * <pre>
   * The Cloud Storage location to store the output of this CustomJob or
   * HyperparameterTuningJob. For HyperparameterTuningJob,
   * the baseOutputDirectory of
   * each child CustomJob backing a Trial is set to a subdirectory of name
   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
   * HyperparameterTuningJob's baseOutputDirectory.
   * The following Vertex AI environment variables will be passed to
   * containers or python modules when this field is set:
   *   For CustomJob:
   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
   *   For CustomJob backing a Trial of HyperparameterTuningJob:
   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
   * </pre>
   *
   * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
   *
   * @return Whether the baseOutputDirectory field is set.
   */
  @java.lang.Override
  public boolean hasBaseOutputDirectory() {
    return baseOutputDirectory_ != null;
  }
  /**
   *
   *
   * <pre>
   * The Cloud Storage location to store the output of this CustomJob or
   * HyperparameterTuningJob. For HyperparameterTuningJob,
   * the baseOutputDirectory of
   * each child CustomJob backing a Trial is set to a subdirectory of name
   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
   * HyperparameterTuningJob's baseOutputDirectory.
   * The following Vertex AI environment variables will be passed to
   * containers or python modules when this field is set:
   *   For CustomJob:
   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
   *   For CustomJob backing a Trial of HyperparameterTuningJob:
   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
   * </pre>
   *
   * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
   *
   * @return The baseOutputDirectory.
   */
  @java.lang.Override
  public com.google.cloud.aiplatform.v1.GcsDestination getBaseOutputDirectory() {
    return baseOutputDirectory_ == null
        ? com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()
        : baseOutputDirectory_;
  }
  /**
   *
   *
   * <pre>
   * The Cloud Storage location to store the output of this CustomJob or
   * HyperparameterTuningJob. For HyperparameterTuningJob,
   * the baseOutputDirectory of
   * each child CustomJob backing a Trial is set to a subdirectory of name
   * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
   * HyperparameterTuningJob's baseOutputDirectory.
   * The following Vertex AI environment variables will be passed to
   * containers or python modules when this field is set:
   *   For CustomJob:
   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
   *   For CustomJob backing a Trial of HyperparameterTuningJob:
   *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
   *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
   *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
   * </pre>
   *
   * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
   */
  @java.lang.Override
  public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder getBaseOutputDirectoryOrBuilder() {
    return baseOutputDirectory_ == null
        ? com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()
        : baseOutputDirectory_;
  }

  public static final int TENSORBOARD_FIELD_NUMBER = 7;

  @SuppressWarnings("serial")
  private volatile java.lang.Object tensorboard_ = "";
  /**
   *
   *
   * <pre>
   * Optional. The name of a Vertex AI
   * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
   * this CustomJob will upload Tensorboard logs. Format:
   * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
   * </pre>
   *
   * <code>
   * string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
   * </code>
   *
   * @return The tensorboard.
   */
  @java.lang.Override
  public java.lang.String getTensorboard() {
    java.lang.Object ref = tensorboard_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      tensorboard_ = s;
      return s;
    }
  }
  /**
   *
   *
   * <pre>
   * Optional. The name of a Vertex AI
   * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
   * this CustomJob will upload Tensorboard logs. Format:
   * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
   * </pre>
   *
   * <code>
   * string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
   * </code>
   *
   * @return The bytes for tensorboard.
   */
  @java.lang.Override
  public com.google.protobuf.ByteString getTensorboardBytes() {
    java.lang.Object ref = tensorboard_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b =
          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
      tensorboard_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int ENABLE_WEB_ACCESS_FIELD_NUMBER = 10;
  private boolean enableWebAccess_ = false;
  /**
   *
   *
   * <pre>
   * Optional. Whether you want Vertex AI to enable [interactive shell
   * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
   * to training containers.
   * If set to `true`, you can access interactive shells at the URIs given
   * by
   * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
   * or
   * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
   * (within
   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
   * </pre>
   *
   * <code>bool enable_web_access = 10 [(.google.api.field_behavior) = OPTIONAL];</code>
   *
   * @return The enableWebAccess.
   */
  @java.lang.Override
  public boolean getEnableWebAccess() {
    return enableWebAccess_;
  }

  public static final int ENABLE_DASHBOARD_ACCESS_FIELD_NUMBER = 16;
  private boolean enableDashboardAccess_ = false;
  /**
   *
   *
   * <pre>
   * Optional. Whether you want Vertex AI to enable access to the customized
   * dashboard in training chief container.
   * If set to `true`, you can access the dashboard at the URIs given
   * by
   * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
   * or
   * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
   * (within
   * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
   * </pre>
   *
   * <code>bool enable_dashboard_access = 16 [(.google.api.field_behavior) = OPTIONAL];</code>
   *
   * @return The enableDashboardAccess.
   */
  @java.lang.Override
  public boolean getEnableDashboardAccess() {
    return enableDashboardAccess_;
  }

  public static final int EXPERIMENT_FIELD_NUMBER = 17;

  @SuppressWarnings("serial")
  private volatile java.lang.Object experiment_ = "";
  /**
   *
   *
   * <pre>
   * Optional. The Experiment associated with this job.
   * Format:
   * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
   * </pre>
   *
   * <code>
   * string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
   * </code>
   *
   * @return The experiment.
   */
  @java.lang.Override
  public java.lang.String getExperiment() {
    java.lang.Object ref = experiment_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      experiment_ = s;
      return s;
    }
  }
  /**
   *
   *
   * <pre>
   * Optional. The Experiment associated with this job.
   * Format:
   * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
   * </pre>
   *
   * <code>
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                ensureReservedIpRangesIsMutable();
                reservedIpRanges_.add(s);
                break;
              } // case 106
            case 128:
              {
                enableDashboardAccess_ = input.readBool();
                bitField0_ |= 0x00000100;
                break;
              } // case 128
            case 138:
              {
                experiment_ = input.readStringRequireUtf8();
                bitField0_ |= 0x00000200;
                break;
              } // case 138
            case 146:
              {
                experimentRun_ = input.readStringRequireUtf8();
                bitField0_ |= 0x00000400;
                break;
              } // case 146
            default:
              {
                if (!super.parseUnknownField(input, extensionRegistry, tag)) {
                  done = true; // was an endgroup tag
                }
                break;
              } // default:
          } // switch (tag)
        } // while (!done)
      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
        throw e.unwrapIOException();
      } finally {
        onChanged();
      } // finally
      return this;
    }

    private int bitField0_;

    private java.util.List<com.google.cloud.aiplatform.v1.WorkerPoolSpec> workerPoolSpecs_ =
        java.util.Collections.emptyList();

    private void ensureWorkerPoolSpecsIsMutable() {
      if (!((bitField0_ & 0x00000001) != 0)) {
        workerPoolSpecs_ =
            new java.util.ArrayList<com.google.cloud.aiplatform.v1.WorkerPoolSpec>(
                workerPoolSpecs_);
        bitField0_ |= 0x00000001;
      }
    }

    private com.google.protobuf.RepeatedFieldBuilderV3<
            com.google.cloud.aiplatform.v1.WorkerPoolSpec,
            com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder,
            com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>
        workerPoolSpecsBuilder_;

    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public java.util.List<com.google.cloud.aiplatform.v1.WorkerPoolSpec> getWorkerPoolSpecsList() {
      if (workerPoolSpecsBuilder_ == null) {
        return java.util.Collections.unmodifiableList(workerPoolSpecs_);
      } else {
        return workerPoolSpecsBuilder_.getMessageList();
      }
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public int getWorkerPoolSpecsCount() {
      if (workerPoolSpecsBuilder_ == null) {
        return workerPoolSpecs_.size();
      } else {
        return workerPoolSpecsBuilder_.getCount();
      }
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public com.google.cloud.aiplatform.v1.WorkerPoolSpec getWorkerPoolSpecs(int index) {
      if (workerPoolSpecsBuilder_ == null) {
        return workerPoolSpecs_.get(index);
      } else {
        return workerPoolSpecsBuilder_.getMessage(index);
      }
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder setWorkerPoolSpecs(
        int index, com.google.cloud.aiplatform.v1.WorkerPoolSpec value) {
      if (workerPoolSpecsBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureWorkerPoolSpecsIsMutable();
        workerPoolSpecs_.set(index, value);
        onChanged();
      } else {
        workerPoolSpecsBuilder_.setMessage(index, value);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder setWorkerPoolSpecs(
        int index, com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder builderForValue) {
      if (workerPoolSpecsBuilder_ == null) {
        ensureWorkerPoolSpecsIsMutable();
        workerPoolSpecs_.set(index, builderForValue.build());
        onChanged();
      } else {
        workerPoolSpecsBuilder_.setMessage(index, builderForValue.build());
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder addWorkerPoolSpecs(com.google.cloud.aiplatform.v1.WorkerPoolSpec value) {
      if (workerPoolSpecsBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureWorkerPoolSpecsIsMutable();
        workerPoolSpecs_.add(value);
        onChanged();
      } else {
        workerPoolSpecsBuilder_.addMessage(value);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder addWorkerPoolSpecs(
        int index, com.google.cloud.aiplatform.v1.WorkerPoolSpec value) {
      if (workerPoolSpecsBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureWorkerPoolSpecsIsMutable();
        workerPoolSpecs_.add(index, value);
        onChanged();
      } else {
        workerPoolSpecsBuilder_.addMessage(index, value);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder addWorkerPoolSpecs(
        com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder builderForValue) {
      if (workerPoolSpecsBuilder_ == null) {
        ensureWorkerPoolSpecsIsMutable();
        workerPoolSpecs_.add(builderForValue.build());
        onChanged();
      } else {
        workerPoolSpecsBuilder_.addMessage(builderForValue.build());
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder addWorkerPoolSpecs(
        int index, com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder builderForValue) {
      if (workerPoolSpecsBuilder_ == null) {
        ensureWorkerPoolSpecsIsMutable();
        workerPoolSpecs_.add(index, builderForValue.build());
        onChanged();
      } else {
        workerPoolSpecsBuilder_.addMessage(index, builderForValue.build());
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder addAllWorkerPoolSpecs(
        java.lang.Iterable<? extends com.google.cloud.aiplatform.v1.WorkerPoolSpec> values) {
      if (workerPoolSpecsBuilder_ == null) {
        ensureWorkerPoolSpecsIsMutable();
        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, workerPoolSpecs_);
        onChanged();
      } else {
        workerPoolSpecsBuilder_.addAllMessages(values);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder clearWorkerPoolSpecs() {
      if (workerPoolSpecsBuilder_ == null) {
        workerPoolSpecs_ = java.util.Collections.emptyList();
        bitField0_ = (bitField0_ & ~0x00000001);
        onChanged();
      } else {
        workerPoolSpecsBuilder_.clear();
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public Builder removeWorkerPoolSpecs(int index) {
      if (workerPoolSpecsBuilder_ == null) {
        ensureWorkerPoolSpecsIsMutable();
        workerPoolSpecs_.remove(index);
        onChanged();
      } else {
        workerPoolSpecsBuilder_.remove(index);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder getWorkerPoolSpecsBuilder(
        int index) {
      return getWorkerPoolSpecsFieldBuilder().getBuilder(index);
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOrBuilder(
        int index) {
      if (workerPoolSpecsBuilder_ == null) {
        return workerPoolSpecs_.get(index);
      } else {
        return workerPoolSpecsBuilder_.getMessageOrBuilder(index);
      }
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public java.util.List<? extends com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>
        getWorkerPoolSpecsOrBuilderList() {
      if (workerPoolSpecsBuilder_ != null) {
        return workerPoolSpecsBuilder_.getMessageOrBuilderList();
      } else {
        return java.util.Collections.unmodifiableList(workerPoolSpecs_);
      }
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder addWorkerPoolSpecsBuilder() {
      return getWorkerPoolSpecsFieldBuilder()
          .addBuilder(com.google.cloud.aiplatform.v1.WorkerPoolSpec.getDefaultInstance());
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder addWorkerPoolSpecsBuilder(
        int index) {
      return getWorkerPoolSpecsFieldBuilder()
          .addBuilder(index, com.google.cloud.aiplatform.v1.WorkerPoolSpec.getDefaultInstance());
    }
    /**
     *
     *
     * <pre>
     * Required. The spec of the worker pools including machine type and Docker
     * image. All worker pools except the first one are optional and can be
     * skipped by providing an empty value.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.aiplatform.v1.WorkerPoolSpec worker_pool_specs = 1 [(.google.api.field_behavior) = REQUIRED];
     * </code>
     */
    public java.util.List<com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder>
        getWorkerPoolSpecsBuilderList() {
      return getWorkerPoolSpecsFieldBuilder().getBuilderList();
    }

    private com.google.protobuf.RepeatedFieldBuilderV3<
            com.google.cloud.aiplatform.v1.WorkerPoolSpec,
            com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder,
            com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>
        getWorkerPoolSpecsFieldBuilder() {
      if (workerPoolSpecsBuilder_ == null) {
        workerPoolSpecsBuilder_ =
            new com.google.protobuf.RepeatedFieldBuilderV3<
                com.google.cloud.aiplatform.v1.WorkerPoolSpec,
                com.google.cloud.aiplatform.v1.WorkerPoolSpec.Builder,
                com.google.cloud.aiplatform.v1.WorkerPoolSpecOrBuilder>(
                workerPoolSpecs_,
                ((bitField0_ & 0x00000001) != 0),
                getParentForChildren(),
                isClean());
        workerPoolSpecs_ = null;
      }
      return workerPoolSpecsBuilder_;
    }

    private com.google.cloud.aiplatform.v1.Scheduling scheduling_;
    private com.google.protobuf.SingleFieldBuilderV3<
            com.google.cloud.aiplatform.v1.Scheduling,
            com.google.cloud.aiplatform.v1.Scheduling.Builder,
            com.google.cloud.aiplatform.v1.SchedulingOrBuilder>
        schedulingBuilder_;
    /**
     *
     *
     * <pre>
     * Scheduling options for a CustomJob.
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
     *
     * @return Whether the scheduling field is set.
     */
    public boolean hasScheduling() {
      return ((bitField0_ & 0x00000002) != 0);
    }
    /**
     *
     *
     * <pre>
     * Scheduling options for a CustomJob.
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
     *
     * @return The scheduling.
     */
    public com.google.cloud.aiplatform.v1.Scheduling getScheduling() {
      if (schedulingBuilder_ == null) {
        return scheduling_ == null
            ? com.google.cloud.aiplatform.v1.Scheduling.getDefaultInstance()
            : scheduling_;
      } else {
        return schedulingBuilder_.getMessage();
      }
    }
    /**
     *
     *
     * <pre>
     * Scheduling options for a CustomJob.
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
     */
    public Builder setScheduling(com.google.cloud.aiplatform.v1.Scheduling value) {
      if (schedulingBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        scheduling_ = value;
      } else {
        schedulingBuilder_.setMessage(value);
      }
      bitField0_ |= 0x00000002;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Scheduling options for a CustomJob.
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
     */
    public Builder setScheduling(
        com.google.cloud.aiplatform.v1.Scheduling.Builder builderForValue) {
      if (schedulingBuilder_ == null) {
        scheduling_ = builderForValue.build();
      } else {
        schedulingBuilder_.setMessage(builderForValue.build());
      }
      bitField0_ |= 0x00000002;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Scheduling options for a CustomJob.
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
     */
    public Builder mergeScheduling(com.google.cloud.aiplatform.v1.Scheduling value) {
      if (schedulingBuilder_ == null) {
        if (((bitField0_ & 0x00000002) != 0)
            && scheduling_ != null
            && scheduling_ != com.google.cloud.aiplatform.v1.Scheduling.getDefaultInstance()) {
          getSchedulingBuilder().mergeFrom(value);
        } else {
          scheduling_ = value;
        }
      } else {
        schedulingBuilder_.mergeFrom(value);
      }
      bitField0_ |= 0x00000002;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Scheduling options for a CustomJob.
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
     */
    public Builder clearScheduling() {
      bitField0_ = (bitField0_ & ~0x00000002);
      scheduling_ = null;
      if (schedulingBuilder_ != null) {
        schedulingBuilder_.dispose();
        schedulingBuilder_ = null;
      }
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Scheduling options for a CustomJob.
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
     */
    public com.google.cloud.aiplatform.v1.Scheduling.Builder getSchedulingBuilder() {
      bitField0_ |= 0x00000002;
      onChanged();
      return getSchedulingFieldBuilder().getBuilder();
    }
    /**
     *
     *
     * <pre>
     * Scheduling options for a CustomJob.
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
     */
    public com.google.cloud.aiplatform.v1.SchedulingOrBuilder getSchedulingOrBuilder() {
      if (schedulingBuilder_ != null) {
        return schedulingBuilder_.getMessageOrBuilder();
      } else {
        return scheduling_ == null
            ? com.google.cloud.aiplatform.v1.Scheduling.getDefaultInstance()
            : scheduling_;
      }
    }
    /**
     *
     *
     * <pre>
     * Scheduling options for a CustomJob.
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.Scheduling scheduling = 3;</code>
     */
    private com.google.protobuf.SingleFieldBuilderV3<
            com.google.cloud.aiplatform.v1.Scheduling,
            com.google.cloud.aiplatform.v1.Scheduling.Builder,
            com.google.cloud.aiplatform.v1.SchedulingOrBuilder>
        getSchedulingFieldBuilder() {
      if (schedulingBuilder_ == null) {
        schedulingBuilder_ =
            new com.google.protobuf.SingleFieldBuilderV3<
                com.google.cloud.aiplatform.v1.Scheduling,
                com.google.cloud.aiplatform.v1.Scheduling.Builder,
                com.google.cloud.aiplatform.v1.SchedulingOrBuilder>(
                getScheduling(), getParentForChildren(), isClean());
        scheduling_ = null;
      }
      return schedulingBuilder_;
    }

    private java.lang.Object serviceAccount_ = "";
    /**
     *
     *
     * <pre>
     * Specifies the service account for workload run-as account.
     * Users submitting jobs must have act-as permission on this run-as account.
     * If unspecified, the [Vertex AI Custom Code Service
     * Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
     * for the CustomJob's project is used.
     * </pre>
     *
     * <code>string service_account = 4;</code>
     *
     * @return The serviceAccount.
     */
    public java.lang.String getServiceAccount() {
      java.lang.Object ref = serviceAccount_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        serviceAccount_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Specifies the service account for workload run-as account.
     * Users submitting jobs must have act-as permission on this run-as account.
     * If unspecified, the [Vertex AI Custom Code Service
     * Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
     * for the CustomJob's project is used.
     * </pre>
     *
     * <code>string service_account = 4;</code>
     *
     * @return The bytes for serviceAccount.
     */
    public com.google.protobuf.ByteString getServiceAccountBytes() {
      java.lang.Object ref = serviceAccount_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        serviceAccount_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Specifies the service account for workload run-as account.
     * Users submitting jobs must have act-as permission on this run-as account.
     * If unspecified, the [Vertex AI Custom Code Service
     * Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
     * for the CustomJob's project is used.
     * </pre>
     *
     * <code>string service_account = 4;</code>
     *
     * @param value The serviceAccount to set.
     * @return This builder for chaining.
     */
    public Builder setServiceAccount(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      serviceAccount_ = value;
      bitField0_ |= 0x00000004;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Specifies the service account for workload run-as account.
     * Users submitting jobs must have act-as permission on this run-as account.
     * If unspecified, the [Vertex AI Custom Code Service
     * Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
     * for the CustomJob's project is used.
     * </pre>
     *
     * <code>string service_account = 4;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearServiceAccount() {
      serviceAccount_ = getDefaultInstance().getServiceAccount();
      bitField0_ = (bitField0_ & ~0x00000004);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Specifies the service account for workload run-as account.
     * Users submitting jobs must have act-as permission on this run-as account.
     * If unspecified, the [Vertex AI Custom Code Service
     * Agent](https://cloud.google.com/vertex-ai/docs/general/access-control#service-agents)
     * for the CustomJob's project is used.
     * </pre>
     *
     * <code>string service_account = 4;</code>
     *
     * @param value The bytes for serviceAccount to set.
     * @return This builder for chaining.
     */
    public Builder setServiceAccountBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      serviceAccount_ = value;
      bitField0_ |= 0x00000004;
      onChanged();
      return this;
    }

    private java.lang.Object network_ = "";
    /**
     *
     *
     * <pre>
     * Optional. The full name of the Compute Engine
     * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
     * should be peered. For example, `projects/12345/global/networks/myVPC`.
     * [Format](/compute/docs/reference/rest/v1/networks/insert)
     * is of the form `projects/{project}/global/networks/{network}`.
     * Where {project} is a project number, as in `12345`, and {network} is a
     * network name.
     * To specify this field, you must have already [configured VPC Network
     * Peering for Vertex
     * AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).
     * If this field is left unspecified, the job is not peered with any network.
     * </pre>
     *
     * <code>
     * string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return The network.
     */
    public java.lang.String getNetwork() {
      java.lang.Object ref = network_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        network_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Optional. The full name of the Compute Engine
     * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
     * should be peered. For example, `projects/12345/global/networks/myVPC`.
     * [Format](/compute/docs/reference/rest/v1/networks/insert)
     * is of the form `projects/{project}/global/networks/{network}`.
     * Where {project} is a project number, as in `12345`, and {network} is a
     * network name.
     * To specify this field, you must have already [configured VPC Network
     * Peering for Vertex
     * AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).
     * If this field is left unspecified, the job is not peered with any network.
     * </pre>
     *
     * <code>
     * string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return The bytes for network.
     */
    public com.google.protobuf.ByteString getNetworkBytes() {
      java.lang.Object ref = network_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        network_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Optional. The full name of the Compute Engine
     * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
     * should be peered. For example, `projects/12345/global/networks/myVPC`.
     * [Format](/compute/docs/reference/rest/v1/networks/insert)
     * is of the form `projects/{project}/global/networks/{network}`.
     * Where {project} is a project number, as in `12345`, and {network} is a
     * network name.
     * To specify this field, you must have already [configured VPC Network
     * Peering for Vertex
     * AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).
     * If this field is left unspecified, the job is not peered with any network.
     * </pre>
     *
     * <code>
     * string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @param value The network to set.
     * @return This builder for chaining.
     */
    public Builder setNetwork(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      network_ = value;
      bitField0_ |= 0x00000008;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. The full name of the Compute Engine
     * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
     * should be peered. For example, `projects/12345/global/networks/myVPC`.
     * [Format](/compute/docs/reference/rest/v1/networks/insert)
     * is of the form `projects/{project}/global/networks/{network}`.
     * Where {project} is a project number, as in `12345`, and {network} is a
     * network name.
     * To specify this field, you must have already [configured VPC Network
     * Peering for Vertex
     * AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).
     * If this field is left unspecified, the job is not peered with any network.
     * </pre>
     *
     * <code>
     * string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return This builder for chaining.
     */
    public Builder clearNetwork() {
      network_ = getDefaultInstance().getNetwork();
      bitField0_ = (bitField0_ & ~0x00000008);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. The full name of the Compute Engine
     * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
     * should be peered. For example, `projects/12345/global/networks/myVPC`.
     * [Format](/compute/docs/reference/rest/v1/networks/insert)
     * is of the form `projects/{project}/global/networks/{network}`.
     * Where {project} is a project number, as in `12345`, and {network} is a
     * network name.
     * To specify this field, you must have already [configured VPC Network
     * Peering for Vertex
     * AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering).
     * If this field is left unspecified, the job is not peered with any network.
     * </pre>
     *
     * <code>
     * string network = 5 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @param value The bytes for network to set.
     * @return This builder for chaining.
     */
    public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      network_ = value;
      bitField0_ |= 0x00000008;
      onChanged();
      return this;
    }

    private com.google.protobuf.LazyStringList reservedIpRanges_ =
        com.google.protobuf.LazyStringArrayList.EMPTY;

    private void ensureReservedIpRangesIsMutable() {
      if (!((bitField0_ & 0x00000010) != 0)) {
        reservedIpRanges_ = new com.google.protobuf.LazyStringArrayList(reservedIpRanges_);
        bitField0_ |= 0x00000010;
      }
    }
    /**
     *
     *
     * <pre>
     * Optional. A list of names for the reserved ip ranges under the VPC network
     * that can be used for this job.
     * If set, we will deploy the job within the provided ip ranges. Otherwise,
     * the job will be deployed to any ip ranges under the provided VPC
     * network.
     * Example: ['vertex-ai-ip-range'].
     * </pre>
     *
     * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @return A list containing the reservedIpRanges.
     */
    public com.google.protobuf.ProtocolStringList getReservedIpRangesList() {
      return reservedIpRanges_.getUnmodifiableView();
    }
    /**
     *
     *
     * <pre>
     * Optional. A list of names for the reserved ip ranges under the VPC network
     * that can be used for this job.
     * If set, we will deploy the job within the provided ip ranges. Otherwise,
     * the job will be deployed to any ip ranges under the provided VPC
     * network.
     * Example: ['vertex-ai-ip-range'].
     * </pre>
     *
     * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @return The count of reservedIpRanges.
     */
    public int getReservedIpRangesCount() {
      return reservedIpRanges_.size();
    }
    /**
     *
     *
     * <pre>
     * Optional. A list of names for the reserved ip ranges under the VPC network
     * that can be used for this job.
     * If set, we will deploy the job within the provided ip ranges. Otherwise,
     * the job will be deployed to any ip ranges under the provided VPC
     * network.
     * Example: ['vertex-ai-ip-range'].
     * </pre>
     *
     * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @param index The index of the element to return.
     * @return The reservedIpRanges at the given index.
     */
    public java.lang.String getReservedIpRanges(int index) {
      return reservedIpRanges_.get(index);
    }
    /**
     *
     *
     * <pre>
     * Optional. A list of names for the reserved ip ranges under the VPC network
     * that can be used for this job.
     * If set, we will deploy the job within the provided ip ranges. Otherwise,
     * the job will be deployed to any ip ranges under the provided VPC
     * network.
     * Example: ['vertex-ai-ip-range'].
     * </pre>
     *
     * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @param index The index of the value to return.
     * @return The bytes of the reservedIpRanges at the given index.
     */
    public com.google.protobuf.ByteString getReservedIpRangesBytes(int index) {
      return reservedIpRanges_.getByteString(index);
    }
    /**
     *
     *
     * <pre>
     * Optional. A list of names for the reserved ip ranges under the VPC network
     * that can be used for this job.
     * If set, we will deploy the job within the provided ip ranges. Otherwise,
     * the job will be deployed to any ip ranges under the provided VPC
     * network.
     * Example: ['vertex-ai-ip-range'].
     * </pre>
     *
     * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @param index The index to set the value at.
     * @param value The reservedIpRanges to set.
     * @return This builder for chaining.
     */
    public Builder setReservedIpRanges(int index, java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      ensureReservedIpRangesIsMutable();
      reservedIpRanges_.set(index, value);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. A list of names for the reserved ip ranges under the VPC network
     * that can be used for this job.
     * If set, we will deploy the job within the provided ip ranges. Otherwise,
     * the job will be deployed to any ip ranges under the provided VPC
     * network.
     * Example: ['vertex-ai-ip-range'].
     * </pre>
     *
     * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @param value The reservedIpRanges to add.
     * @return This builder for chaining.
     */
    public Builder addReservedIpRanges(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      ensureReservedIpRangesIsMutable();
      reservedIpRanges_.add(value);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. A list of names for the reserved ip ranges under the VPC network
     * that can be used for this job.
     * If set, we will deploy the job within the provided ip ranges. Otherwise,
     * the job will be deployed to any ip ranges under the provided VPC
     * network.
     * Example: ['vertex-ai-ip-range'].
     * </pre>
     *
     * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @param values The reservedIpRanges to add.
     * @return This builder for chaining.
     */
    public Builder addAllReservedIpRanges(java.lang.Iterable<java.lang.String> values) {
      ensureReservedIpRangesIsMutable();
      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, reservedIpRanges_);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. A list of names for the reserved ip ranges under the VPC network
     * that can be used for this job.
     * If set, we will deploy the job within the provided ip ranges. Otherwise,
     * the job will be deployed to any ip ranges under the provided VPC
     * network.
     * Example: ['vertex-ai-ip-range'].
     * </pre>
     *
     * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @return This builder for chaining.
     */
    public Builder clearReservedIpRanges() {
      reservedIpRanges_ = com.google.protobuf.LazyStringArrayList.EMPTY;
      bitField0_ = (bitField0_ & ~0x00000010);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. A list of names for the reserved ip ranges under the VPC network
     * that can be used for this job.
     * If set, we will deploy the job within the provided ip ranges. Otherwise,
     * the job will be deployed to any ip ranges under the provided VPC
     * network.
     * Example: ['vertex-ai-ip-range'].
     * </pre>
     *
     * <code>repeated string reserved_ip_ranges = 13 [(.google.api.field_behavior) = OPTIONAL];
     * </code>
     *
     * @param value The bytes of the reservedIpRanges to add.
     * @return This builder for chaining.
     */
    public Builder addReservedIpRangesBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      ensureReservedIpRangesIsMutable();
      reservedIpRanges_.add(value);
      onChanged();
      return this;
    }

    private com.google.cloud.aiplatform.v1.GcsDestination baseOutputDirectory_;
    private com.google.protobuf.SingleFieldBuilderV3<
            com.google.cloud.aiplatform.v1.GcsDestination,
            com.google.cloud.aiplatform.v1.GcsDestination.Builder,
            com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
        baseOutputDirectoryBuilder_;
    /**
     *
     *
     * <pre>
     * The Cloud Storage location to store the output of this CustomJob or
     * HyperparameterTuningJob. For HyperparameterTuningJob,
     * the baseOutputDirectory of
     * each child CustomJob backing a Trial is set to a subdirectory of name
     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
     * HyperparameterTuningJob's baseOutputDirectory.
     * The following Vertex AI environment variables will be passed to
     * containers or python modules when this field is set:
     *   For CustomJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
     *   For CustomJob backing a Trial of HyperparameterTuningJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
     *
     * @return Whether the baseOutputDirectory field is set.
     */
    public boolean hasBaseOutputDirectory() {
      return ((bitField0_ & 0x00000020) != 0);
    }
    /**
     *
     *
     * <pre>
     * The Cloud Storage location to store the output of this CustomJob or
     * HyperparameterTuningJob. For HyperparameterTuningJob,
     * the baseOutputDirectory of
     * each child CustomJob backing a Trial is set to a subdirectory of name
     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
     * HyperparameterTuningJob's baseOutputDirectory.
     * The following Vertex AI environment variables will be passed to
     * containers or python modules when this field is set:
     *   For CustomJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
     *   For CustomJob backing a Trial of HyperparameterTuningJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
     *
     * @return The baseOutputDirectory.
     */
    public com.google.cloud.aiplatform.v1.GcsDestination getBaseOutputDirectory() {
      if (baseOutputDirectoryBuilder_ == null) {
        return baseOutputDirectory_ == null
            ? com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()
            : baseOutputDirectory_;
      } else {
        return baseOutputDirectoryBuilder_.getMessage();
      }
    }
    /**
     *
     *
     * <pre>
     * The Cloud Storage location to store the output of this CustomJob or
     * HyperparameterTuningJob. For HyperparameterTuningJob,
     * the baseOutputDirectory of
     * each child CustomJob backing a Trial is set to a subdirectory of name
     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
     * HyperparameterTuningJob's baseOutputDirectory.
     * The following Vertex AI environment variables will be passed to
     * containers or python modules when this field is set:
     *   For CustomJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
     *   For CustomJob backing a Trial of HyperparameterTuningJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
     */
    public Builder setBaseOutputDirectory(com.google.cloud.aiplatform.v1.GcsDestination value) {
      if (baseOutputDirectoryBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        baseOutputDirectory_ = value;
      } else {
        baseOutputDirectoryBuilder_.setMessage(value);
      }
      bitField0_ |= 0x00000020;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The Cloud Storage location to store the output of this CustomJob or
     * HyperparameterTuningJob. For HyperparameterTuningJob,
     * the baseOutputDirectory of
     * each child CustomJob backing a Trial is set to a subdirectory of name
     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
     * HyperparameterTuningJob's baseOutputDirectory.
     * The following Vertex AI environment variables will be passed to
     * containers or python modules when this field is set:
     *   For CustomJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
     *   For CustomJob backing a Trial of HyperparameterTuningJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
     */
    public Builder setBaseOutputDirectory(
        com.google.cloud.aiplatform.v1.GcsDestination.Builder builderForValue) {
      if (baseOutputDirectoryBuilder_ == null) {
        baseOutputDirectory_ = builderForValue.build();
      } else {
        baseOutputDirectoryBuilder_.setMessage(builderForValue.build());
      }
      bitField0_ |= 0x00000020;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The Cloud Storage location to store the output of this CustomJob or
     * HyperparameterTuningJob. For HyperparameterTuningJob,
     * the baseOutputDirectory of
     * each child CustomJob backing a Trial is set to a subdirectory of name
     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
     * HyperparameterTuningJob's baseOutputDirectory.
     * The following Vertex AI environment variables will be passed to
     * containers or python modules when this field is set:
     *   For CustomJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
     *   For CustomJob backing a Trial of HyperparameterTuningJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
     */
    public Builder mergeBaseOutputDirectory(com.google.cloud.aiplatform.v1.GcsDestination value) {
      if (baseOutputDirectoryBuilder_ == null) {
        if (((bitField0_ & 0x00000020) != 0)
            && baseOutputDirectory_ != null
            && baseOutputDirectory_
                != com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()) {
          getBaseOutputDirectoryBuilder().mergeFrom(value);
        } else {
          baseOutputDirectory_ = value;
        }
      } else {
        baseOutputDirectoryBuilder_.mergeFrom(value);
      }
      bitField0_ |= 0x00000020;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The Cloud Storage location to store the output of this CustomJob or
     * HyperparameterTuningJob. For HyperparameterTuningJob,
     * the baseOutputDirectory of
     * each child CustomJob backing a Trial is set to a subdirectory of name
     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
     * HyperparameterTuningJob's baseOutputDirectory.
     * The following Vertex AI environment variables will be passed to
     * containers or python modules when this field is set:
     *   For CustomJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
     *   For CustomJob backing a Trial of HyperparameterTuningJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
     */
    public Builder clearBaseOutputDirectory() {
      bitField0_ = (bitField0_ & ~0x00000020);
      baseOutputDirectory_ = null;
      if (baseOutputDirectoryBuilder_ != null) {
        baseOutputDirectoryBuilder_.dispose();
        baseOutputDirectoryBuilder_ = null;
      }
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The Cloud Storage location to store the output of this CustomJob or
     * HyperparameterTuningJob. For HyperparameterTuningJob,
     * the baseOutputDirectory of
     * each child CustomJob backing a Trial is set to a subdirectory of name
     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
     * HyperparameterTuningJob's baseOutputDirectory.
     * The following Vertex AI environment variables will be passed to
     * containers or python modules when this field is set:
     *   For CustomJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
     *   For CustomJob backing a Trial of HyperparameterTuningJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
     */
    public com.google.cloud.aiplatform.v1.GcsDestination.Builder getBaseOutputDirectoryBuilder() {
      bitField0_ |= 0x00000020;
      onChanged();
      return getBaseOutputDirectoryFieldBuilder().getBuilder();
    }
    /**
     *
     *
     * <pre>
     * The Cloud Storage location to store the output of this CustomJob or
     * HyperparameterTuningJob. For HyperparameterTuningJob,
     * the baseOutputDirectory of
     * each child CustomJob backing a Trial is set to a subdirectory of name
     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
     * HyperparameterTuningJob's baseOutputDirectory.
     * The following Vertex AI environment variables will be passed to
     * containers or python modules when this field is set:
     *   For CustomJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
     *   For CustomJob backing a Trial of HyperparameterTuningJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
     */
    public com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder
        getBaseOutputDirectoryOrBuilder() {
      if (baseOutputDirectoryBuilder_ != null) {
        return baseOutputDirectoryBuilder_.getMessageOrBuilder();
      } else {
        return baseOutputDirectory_ == null
            ? com.google.cloud.aiplatform.v1.GcsDestination.getDefaultInstance()
            : baseOutputDirectory_;
      }
    }
    /**
     *
     *
     * <pre>
     * The Cloud Storage location to store the output of this CustomJob or
     * HyperparameterTuningJob. For HyperparameterTuningJob,
     * the baseOutputDirectory of
     * each child CustomJob backing a Trial is set to a subdirectory of name
     * [id][google.cloud.aiplatform.v1.Trial.id] under its parent
     * HyperparameterTuningJob's baseOutputDirectory.
     * The following Vertex AI environment variables will be passed to
     * containers or python modules when this field is set:
     *   For CustomJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/logs/`
     *   For CustomJob backing a Trial of HyperparameterTuningJob:
     *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/model/`
     *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/checkpoints/`
     *   * AIP_TENSORBOARD_LOG_DIR = `&lt;base_output_directory&gt;/&lt;trial_id&gt;/logs/`
     * </pre>
     *
     * <code>.google.cloud.aiplatform.v1.GcsDestination base_output_directory = 6;</code>
     */
    private com.google.protobuf.SingleFieldBuilderV3<
            com.google.cloud.aiplatform.v1.GcsDestination,
            com.google.cloud.aiplatform.v1.GcsDestination.Builder,
            com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>
        getBaseOutputDirectoryFieldBuilder() {
      if (baseOutputDirectoryBuilder_ == null) {
        baseOutputDirectoryBuilder_ =
            new com.google.protobuf.SingleFieldBuilderV3<
                com.google.cloud.aiplatform.v1.GcsDestination,
                com.google.cloud.aiplatform.v1.GcsDestination.Builder,
                com.google.cloud.aiplatform.v1.GcsDestinationOrBuilder>(
                getBaseOutputDirectory(), getParentForChildren(), isClean());
        baseOutputDirectory_ = null;
      }
      return baseOutputDirectoryBuilder_;
    }

    private java.lang.Object tensorboard_ = "";
    /**
     *
     *
     * <pre>
     * Optional. The name of a Vertex AI
     * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
     * this CustomJob will upload Tensorboard logs. Format:
     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
     * </pre>
     *
     * <code>
     * string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return The tensorboard.
     */
    public java.lang.String getTensorboard() {
      java.lang.Object ref = tensorboard_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        tensorboard_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Optional. The name of a Vertex AI
     * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
     * this CustomJob will upload Tensorboard logs. Format:
     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
     * </pre>
     *
     * <code>
     * string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return The bytes for tensorboard.
     */
    public com.google.protobuf.ByteString getTensorboardBytes() {
      java.lang.Object ref = tensorboard_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        tensorboard_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Optional. The name of a Vertex AI
     * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
     * this CustomJob will upload Tensorboard logs. Format:
     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
     * </pre>
     *
     * <code>
     * string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @param value The tensorboard to set.
     * @return This builder for chaining.
     */
    public Builder setTensorboard(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      tensorboard_ = value;
      bitField0_ |= 0x00000040;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. The name of a Vertex AI
     * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
     * this CustomJob will upload Tensorboard logs. Format:
     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
     * </pre>
     *
     * <code>
     * string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return This builder for chaining.
     */
    public Builder clearTensorboard() {
      tensorboard_ = getDefaultInstance().getTensorboard();
      bitField0_ = (bitField0_ & ~0x00000040);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. The name of a Vertex AI
     * [Tensorboard][google.cloud.aiplatform.v1.Tensorboard] resource to which
     * this CustomJob will upload Tensorboard logs. Format:
     * `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
     * </pre>
     *
     * <code>
     * string tensorboard = 7 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @param value The bytes for tensorboard to set.
     * @return This builder for chaining.
     */
    public Builder setTensorboardBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      tensorboard_ = value;
      bitField0_ |= 0x00000040;
      onChanged();
      return this;
    }

    private boolean enableWebAccess_;
    /**
     *
     *
     * <pre>
     * Optional. Whether you want Vertex AI to enable [interactive shell
     * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
     * to training containers.
     * If set to `true`, you can access interactive shells at the URIs given
     * by
     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
     * or
     * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
     * (within
     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
     * </pre>
     *
     * <code>bool enable_web_access = 10 [(.google.api.field_behavior) = OPTIONAL];</code>
     *
     * @return The enableWebAccess.
     */
    @java.lang.Override
    public boolean getEnableWebAccess() {
      return enableWebAccess_;
    }
    /**
     *
     *
     * <pre>
     * Optional. Whether you want Vertex AI to enable [interactive shell
     * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
     * to training containers.
     * If set to `true`, you can access interactive shells at the URIs given
     * by
     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
     * or
     * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
     * (within
     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
     * </pre>
     *
     * <code>bool enable_web_access = 10 [(.google.api.field_behavior) = OPTIONAL];</code>
     *
     * @param value The enableWebAccess to set.
     * @return This builder for chaining.
     */
    public Builder setEnableWebAccess(boolean value) {

      enableWebAccess_ = value;
      bitField0_ |= 0x00000080;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. Whether you want Vertex AI to enable [interactive shell
     * access](https://cloud.google.com/vertex-ai/docs/training/monitor-debug-interactive-shell)
     * to training containers.
     * If set to `true`, you can access interactive shells at the URIs given
     * by
     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
     * or
     * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
     * (within
     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
     * </pre>
     *
     * <code>bool enable_web_access = 10 [(.google.api.field_behavior) = OPTIONAL];</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearEnableWebAccess() {
      bitField0_ = (bitField0_ & ~0x00000080);
      enableWebAccess_ = false;
      onChanged();
      return this;
    }

    private boolean enableDashboardAccess_;
    /**
     *
     *
     * <pre>
     * Optional. Whether you want Vertex AI to enable access to the customized
     * dashboard in training chief container.
     * If set to `true`, you can access the dashboard at the URIs given
     * by
     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
     * or
     * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
     * (within
     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
     * </pre>
     *
     * <code>bool enable_dashboard_access = 16 [(.google.api.field_behavior) = OPTIONAL];</code>
     *
     * @return The enableDashboardAccess.
     */
    @java.lang.Override
    public boolean getEnableDashboardAccess() {
      return enableDashboardAccess_;
    }
    /**
     *
     *
     * <pre>
     * Optional. Whether you want Vertex AI to enable access to the customized
     * dashboard in training chief container.
     * If set to `true`, you can access the dashboard at the URIs given
     * by
     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
     * or
     * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
     * (within
     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
     * </pre>
     *
     * <code>bool enable_dashboard_access = 16 [(.google.api.field_behavior) = OPTIONAL];</code>
     *
     * @param value The enableDashboardAccess to set.
     * @return This builder for chaining.
     */
    public Builder setEnableDashboardAccess(boolean value) {

      enableDashboardAccess_ = value;
      bitField0_ |= 0x00000100;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. Whether you want Vertex AI to enable access to the customized
     * dashboard in training chief container.
     * If set to `true`, you can access the dashboard at the URIs given
     * by
     * [CustomJob.web_access_uris][google.cloud.aiplatform.v1.CustomJob.web_access_uris]
     * or
     * [Trial.web_access_uris][google.cloud.aiplatform.v1.Trial.web_access_uris]
     * (within
     * [HyperparameterTuningJob.trials][google.cloud.aiplatform.v1.HyperparameterTuningJob.trials]).
     * </pre>
     *
     * <code>bool enable_dashboard_access = 16 [(.google.api.field_behavior) = OPTIONAL];</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearEnableDashboardAccess() {
      bitField0_ = (bitField0_ & ~0x00000100);
      enableDashboardAccess_ = false;
      onChanged();
      return this;
    }

    private java.lang.Object experiment_ = "";
    /**
     *
     *
     * <pre>
     * Optional. The Experiment associated with this job.
     * Format:
     * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
     * </pre>
     *
     * <code>
     * string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return The experiment.
     */
    public java.lang.String getExperiment() {
      java.lang.Object ref = experiment_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        experiment_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Optional. The Experiment associated with this job.
     * Format:
     * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
     * </pre>
     *
     * <code>
     * string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return The bytes for experiment.
     */
    public com.google.protobuf.ByteString getExperimentBytes() {
      java.lang.Object ref = experiment_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        experiment_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Optional. The Experiment associated with this job.
     * Format:
     * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
     * </pre>
     *
     * <code>
     * string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @param value The experiment to set.
     * @return This builder for chaining.
     */
    public Builder setExperiment(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      experiment_ = value;
      bitField0_ |= 0x00000200;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. The Experiment associated with this job.
     * Format:
     * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
     * </pre>
     *
     * <code>
     * string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return This builder for chaining.
     */
    public Builder clearExperiment() {
      experiment_ = getDefaultInstance().getExperiment();
      bitField0_ = (bitField0_ & ~0x00000200);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. The Experiment associated with this job.
     * Format:
     * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}`
     * </pre>
     *
     * <code>
     * string experiment = 17 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @param value The bytes for experiment to set.
     * @return This builder for chaining.
     */
    public Builder setExperimentBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      experiment_ = value;
      bitField0_ |= 0x00000200;
      onChanged();
      return this;
    }

    private java.lang.Object experimentRun_ = "";
    /**
     *
     *
     * <pre>
     * Optional. The Experiment Run associated with this job.
     * Format:
     * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
     * </pre>
     *
     * <code>
     * string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return The experimentRun.
     */
    public java.lang.String getExperimentRun() {
      java.lang.Object ref = experimentRun_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        experimentRun_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Optional. The Experiment Run associated with this job.
     * Format:
     * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
     * </pre>
     *
     * <code>
     * string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return The bytes for experimentRun.
     */
    public com.google.protobuf.ByteString getExperimentRunBytes() {
      java.lang.Object ref = experimentRun_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        experimentRun_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Optional. The Experiment Run associated with this job.
     * Format:
     * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
     * </pre>
     *
     * <code>
     * string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @param value The experimentRun to set.
     * @return This builder for chaining.
     */
    public Builder setExperimentRun(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      experimentRun_ = value;
      bitField0_ |= 0x00000400;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. The Experiment Run associated with this job.
     * Format:
     * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
     * </pre>
     *
     * <code>
     * string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @return This builder for chaining.
     */
    public Builder clearExperimentRun() {
      experimentRun_ = getDefaultInstance().getExperimentRun();
      bitField0_ = (bitField0_ & ~0x00000400);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. The Experiment Run associated with this job.
     * Format:
     * `projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}`
     * </pre>
     *
     * <code>
     * string experiment_run = 18 [(.google.api.field_behavior) = OPTIONAL, (.google.api.resource_reference) = { ... }
     * </code>
     *
     * @param value The bytes for experimentRun to set.
     * @return This builder for chaining.
     */
    public Builder setExperimentRunBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      experimentRun_ = value;
      bitField0_ |= 0x00000400;
      onChanged();
      return this;
    }

    @java.lang.Override
    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.setUnknownFields(unknownFields);
    }

    @java.lang.Override
    public final Builder mergeUnknownFields(
        final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.mergeUnknownFields(unknownFields);
    }

    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1.CustomJobSpec)
  }

  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1.CustomJobSpec)
  private static final com.google.cloud.aiplatform.v1.CustomJobSpec DEFAULT_INSTANCE;

  static {
    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1.CustomJobSpec();
  }

  public static com.google.cloud.aiplatform.v1.CustomJobSpec getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

  private static final com.google.protobuf.Parser<CustomJobSpec> PARSER =
      new com.google.protobuf.AbstractParser<CustomJobSpec>() {
        @java.lang.Override
        public CustomJobSpec parsePartialFrom(
            com.google.protobuf.CodedInputStream input,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
          Builder builder = newBuilder();
          try {
            builder.mergeFrom(input, extensionRegistry);
          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
            throw e.setUnfinishedMessage(builder.buildPartial());
          } catch (com.google.protobuf.UninitializedMessageException e) {
            throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
          } catch (java.io.IOException e) {
            throw new com.google.protobuf.InvalidProtocolBufferException(e)
                .setUnfinishedMessage(builder.buildPartial());
          }
          return builder.buildPartial();
        }
      };

  public static com.google.protobuf.Parser<CustomJobSpec> parser() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.protobuf.Parser<CustomJobSpec> getParserForType() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.cloud.aiplatform.v1.CustomJobSpec getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }
}