@Generated(value="software.amazon.awssdk:codegen") public final class ResourceConfig extends Object implements SdkPojo, Serializable, ToCopyableBuilder<ResourceConfig.Builder,ResourceConfig>
Describes the resources, including ML compute instances and ML storage volumes, to use for model training.
| Modifier and Type | Class and Description |
|---|---|
static interface |
ResourceConfig.Builder |
| Modifier and Type | Method and Description |
|---|---|
static ResourceConfig.Builder |
builder() |
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
Integer |
instanceCount()
The number of ML compute instances to use.
|
TrainingInstanceType |
instanceType()
The ML compute instance type.
|
String |
instanceTypeAsString()
The ML compute instance type.
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends ResourceConfig.Builder> |
serializableBuilderClass() |
ResourceConfig.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
String |
volumeKmsKeyId()
The AWS KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute
instance(s) that run the training job.
|
Integer |
volumeSizeInGB()
The size of the ML storage volume that you want to provision.
|
clone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final TrainingInstanceType instanceType()
The ML compute instance type.
If the service returns an enum value that is not available in the current SDK version, instanceType will
return TrainingInstanceType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available
from instanceTypeAsString().
TrainingInstanceTypepublic final String instanceTypeAsString()
The ML compute instance type.
If the service returns an enum value that is not available in the current SDK version, instanceType will
return TrainingInstanceType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available
from instanceTypeAsString().
TrainingInstanceTypepublic final Integer instanceCount()
The number of ML compute instances to use. For distributed training, provide a value greater than 1.
public final Integer volumeSizeInGB()
The size of the ML storage volume that you want to provision.
ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML
storage volume for scratch space. If you want to store the training data in the ML storage volume, choose
File as the TrainingInputMode in the algorithm specification.
You must specify sufficient ML storage for your scenario.
Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume type.
Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When
using these instances for training, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2
storage. You can't request a VolumeSizeInGB greater than the total size of the local instance
storage.
For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.
ML storage volumes store model artifacts and incremental states. Training algorithms might also use the
ML storage volume for scratch space. If you want to store the training data in the ML storage volume,
choose File as the TrainingInputMode in the algorithm specification.
You must specify sufficient ML storage for your scenario.
Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume type.
Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance
type. When using these instances for training, Amazon SageMaker mounts the local instance storage instead
of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of
the local instance storage.
For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.
public final String volumeKmsKeyId()
The AWS KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training 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 in any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
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 in any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
public ResourceConfig.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<ResourceConfig.Builder,ResourceConfig>public static ResourceConfig.Builder builder()
public static Class<? extends ResourceConfig.Builder> serializableBuilderClass()
public final boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic final String toString()
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