/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file 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. */ package com.amazonaws.services.sagemaker.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.protocol.StructuredPojo; import com.amazonaws.protocol.ProtocolMarshaller; /** *

* Describes the resources, including ML instance types and ML instance count, to use for transform job. *

* * @see AWS API * Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class TransformResources implements Serializable, Cloneable, StructuredPojo { /** *

* The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately * sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types. *

*/ private String instanceType; /** *

* The number of ML compute instances to use in the transform job. The default value is 1, and the * maximum is 100. For distributed transform jobs, specify a value greater than 1. *

*/ private Integer instanceCount; /** *

* The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to * encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job. *

* *

* Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are * encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an * instance type with local storage. *

*

* For a list of instance types that support local instance storage, see Instance * Store Volumes. *

*

* For more information about local instance storage encryption, see SSD Instance Store * Volumes. *

* *

* The VolumeKmsKeyId can be any of the following formats: *

* */ private String volumeKmsKeyId; /** *

* The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately * sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types. *

* * @param instanceType * The ML compute instance type for the transform job. If you are using built-in algorithms to transform * moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types. * @see TransformInstanceType */ public void setInstanceType(String instanceType) { this.instanceType = instanceType; } /** *

* The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately * sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types. *

* * @return The ML compute instance type for the transform job. If you are using built-in algorithms to transform * moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types. * @see TransformInstanceType */ public String getInstanceType() { return this.instanceType; } /** *

* The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately * sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types. *

* * @param instanceType * The ML compute instance type for the transform job. If you are using built-in algorithms to transform * moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types. * @return Returns a reference to this object so that method calls can be chained together. * @see TransformInstanceType */ public TransformResources withInstanceType(String instanceType) { setInstanceType(instanceType); return this; } /** *

* The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately * sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types. *

* * @param instanceType * The ML compute instance type for the transform job. If you are using built-in algorithms to transform * moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types. * @return Returns a reference to this object so that method calls can be chained together. * @see TransformInstanceType */ public TransformResources withInstanceType(TransformInstanceType instanceType) { this.instanceType = instanceType.toString(); return this; } /** *

* The number of ML compute instances to use in the transform job. The default value is 1, and the * maximum is 100. For distributed transform jobs, specify a value greater than 1. *

* * @param instanceCount * The number of ML compute instances to use in the transform job. The default value is 1, and * the maximum is 100. For distributed transform jobs, specify a value greater than * 1. */ public void setInstanceCount(Integer instanceCount) { this.instanceCount = instanceCount; } /** *

* The number of ML compute instances to use in the transform job. The default value is 1, and the * maximum is 100. For distributed transform jobs, specify a value greater than 1. *

* * @return The number of ML compute instances to use in the transform job. The default value is 1, and * the maximum is 100. For distributed transform jobs, specify a value greater than * 1. */ public Integer getInstanceCount() { return this.instanceCount; } /** *

* The number of ML compute instances to use in the transform job. The default value is 1, and the * maximum is 100. For distributed transform jobs, specify a value greater than 1. *

* * @param instanceCount * The number of ML compute instances to use in the transform job. The default value is 1, and * the maximum is 100. For distributed transform jobs, specify a value greater than * 1. * @return Returns a reference to this object so that method calls can be chained together. */ public TransformResources withInstanceCount(Integer instanceCount) { setInstanceCount(instanceCount); return this; } /** *

* The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to * encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job. *

* *

* Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are * encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an * instance type with local storage. *

*

* For a list of instance types that support local instance storage, see Instance * Store Volumes. *

*

* For more information about local instance storage encryption, see SSD Instance Store * Volumes. *

* *

* The VolumeKmsKeyId can be any of the following formats: *

* * * @param volumeKmsKeyId * The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to * encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch * transform job.

*

* Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes * are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId * when using an instance type with local storage. *

*

* For a list of instance types that support local instance storage, see Instance Store Volumes. *

*

* For more information about local instance storage encryption, see SSD Instance Store * Volumes. *

* *

* The VolumeKmsKeyId can be any of the following formats: *

*