
com.google.api.services.dataproc.model.AcceleratorConfig Maven / Gradle / Ivy
/*
* 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
*
* http://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.
*/
/*
* This code was generated by https://github.com/googleapis/google-api-java-client-services/
* Modify at your own risk.
*/
package com.google.api.services.dataproc.model;
/**
* Specifies the type and number of accelerator cards attached to the instances of an instance. See
* GPUs on Compute Engine (https://cloud.google.com/compute/docs/gpus/).
*
* This is the Java data model class that specifies how to parse/serialize into the JSON that is
* transmitted over HTTP when working with the Cloud Dataproc API. For a detailed explanation see:
* https://developers.google.com/api-client-library/java/google-http-java-client/json
*
*
* @author Google, Inc.
*/
@SuppressWarnings("javadoc")
public final class AcceleratorConfig extends com.google.api.client.json.GenericJson {
/**
* The number of the accelerator cards of this type exposed to this instance.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.lang.Integer acceleratorCount;
/**
* Full URL, partial URI, or short name of the accelerator type resource to expose to this
* instance. See Compute Engine AcceleratorTypes
* (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.goo
* gleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4
* projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4 nvidia-tesla-t4Auto Zone
* Exception: If you are using the Dataproc Auto Zone Placement
* (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-
* zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type
* resource, for example, nvidia-tesla-t4.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.lang.String acceleratorTypeUri;
/**
* The number of the accelerator cards of this type exposed to this instance.
* @return value or {@code null} for none
*/
public java.lang.Integer getAcceleratorCount() {
return acceleratorCount;
}
/**
* The number of the accelerator cards of this type exposed to this instance.
* @param acceleratorCount acceleratorCount or {@code null} for none
*/
public AcceleratorConfig setAcceleratorCount(java.lang.Integer acceleratorCount) {
this.acceleratorCount = acceleratorCount;
return this;
}
/**
* Full URL, partial URI, or short name of the accelerator type resource to expose to this
* instance. See Compute Engine AcceleratorTypes
* (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.goo
* gleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4
* projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4 nvidia-tesla-t4Auto Zone
* Exception: If you are using the Dataproc Auto Zone Placement
* (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-
* zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type
* resource, for example, nvidia-tesla-t4.
* @return value or {@code null} for none
*/
public java.lang.String getAcceleratorTypeUri() {
return acceleratorTypeUri;
}
/**
* Full URL, partial URI, or short name of the accelerator type resource to expose to this
* instance. See Compute Engine AcceleratorTypes
* (https://cloud.google.com/compute/docs/reference/v1/acceleratorTypes).Examples: https://www.goo
* gleapis.com/compute/v1/projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4
* projects/[project_id]/zones/[zone]/acceleratorTypes/nvidia-tesla-t4 nvidia-tesla-t4Auto Zone
* Exception: If you are using the Dataproc Auto Zone Placement
* (https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/auto-
* zone#using_auto_zone_placement) feature, you must use the short name of the accelerator type
* resource, for example, nvidia-tesla-t4.
* @param acceleratorTypeUri acceleratorTypeUri or {@code null} for none
*/
public AcceleratorConfig setAcceleratorTypeUri(java.lang.String acceleratorTypeUri) {
this.acceleratorTypeUri = acceleratorTypeUri;
return this;
}
@Override
public AcceleratorConfig set(String fieldName, Object value) {
return (AcceleratorConfig) super.set(fieldName, value);
}
@Override
public AcceleratorConfig clone() {
return (AcceleratorConfig) super.clone();
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy