[ aws . sagemaker ]

describe-cluster

Description

Retrieves information of a SageMaker HyperPod cluster.

See also: AWS API Documentation

Synopsis

  describe-cluster
--cluster-name <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]

Options

--cluster-name (string)

The string name or the Amazon Resource Name (ARN) of the SageMaker HyperPod cluster.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination.

--output (string)

The formatting style for command output.

• json
• text
• table
• yaml
• yaml-stream

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

• on
• off
• auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

--cli-binary-format (string)

The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.

• base64
• raw-in-base64-out

--no-cli-pager (boolean)

Disable cli pager for output.

--cli-auto-prompt (boolean)

Automatically prompt for CLI input parameters.

--no-cli-auto-prompt (boolean)

Disable automatically prompt for CLI input parameters.

Output

ClusterArn -> (string)

The Amazon Resource Name (ARN) of the SageMaker HyperPod cluster.

ClusterName -> (string)

The name of the SageMaker HyperPod cluster.

ClusterStatus -> (string)

The status of the SageMaker HyperPod cluster.

CreationTime -> (timestamp)

The time when the SageMaker Cluster is created.

FailureMessage -> (string)

The failure message of the SageMaker HyperPod cluster.

InstanceGroups -> (list)

The instance groups of the SageMaker HyperPod cluster.

(structure)

Details of an instance group in a SageMaker HyperPod cluster.

CurrentCount -> (integer)

The number of instances that are currently in the instance group of a SageMaker HyperPod cluster.

TargetCount -> (integer)

The number of instances you specified to add to the instance group of a SageMaker HyperPod cluster.

InstanceGroupName -> (string)

The name of the instance group of a SageMaker HyperPod cluster.

InstanceType -> (string)

The instance type of the instance group of a SageMaker HyperPod cluster.

LifeCycleConfig -> (structure)

Details of LifeCycle configuration for the instance group.

SourceS3Uri -> (string)

An Amazon S3 bucket path where your lifecycle scripts are stored.

Warning

Make sure that the S3 bucket path starts with s3://sagemaker- . The IAM role for SageMaker HyperPod has the managed ` AmazonSageMakerClusterInstanceRolePolicy https://docs.aws.amazon.com/sagemaker/latest/dg/security-iam-awsmanpol-cluster.html`__ attached, which allows access to S3 buckets with the specific prefix sagemaker- .

OnCreate -> (string)

The file name of the entrypoint script of lifecycle scripts under SourceS3Uri . This entrypoint script runs during cluster creation.

ExecutionRole -> (string)

The execution role for the instance group to assume.

ThreadsPerCore -> (integer)

The number you specified to TreadsPerCore in CreateCluster for enabling or disabling multithreading. For instance types that support multithreading, you can specify 1 for disabling multithreading and 2 for enabling multithreading. For more information, see the reference table of CPU cores and threads per CPU core per instance type in the Amazon Elastic Compute Cloud User Guide .

VpcConfig -> (structure)

Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see Give SageMaker Access to Resources in your Amazon VPC .

SecurityGroupIds -> (list)

The VPC security group IDs, in the form sg-xxxxxxxx . Specify the security groups for the VPC that is specified in the Subnets field.

(string)

Subnets -> (list)

The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see Supported Instance Types and Availability Zones .

(string)