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upbound/provider-aws@v1.1.0
Model
sagemaker.aws.upbound.io
Model
upbound/provider-aws@v1.1.0sagemaker.aws.upbound.io

Model is the Schema for the Models API. Provides a SageMaker model resource.

Type

CRD

Group

sagemaker.aws.upbound.io

Version

v1beta1

apiVersion: sagemaker.aws.upbound.io/v1beta1

kind: Model

API Documentation
apiVersion
string
kind
string
metadata
object
spec
object
object

ModelSpec defines the desired state of Model

forProvider
requiredobject
requiredobject

No description provided.

array

Specifies containers in the inference pipeline. If not specified, the primary_container argument is required. Fields are documented below.

image
string
array

Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see Using a Private Docker Registry for Real-Time Inference Containers. see Image Config.

array

Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication. see Repository Auth Config.

mode
string
array

The location of model data to deploy. Use this for uncompressed model deployment. For information about how to deploy an uncompressed model, see Deploying uncompressed models in the AWS SageMaker Developer Guide.

array

The S3 location of model data to deploy.

object

Reference to a Role in iam to populate executionRoleArn.

name
requiredstring
policy
object
object

Policies for referencing.

resolve
string
object

Selector for a Role in iam to populate executionRoleArn.

policy
object
object

Policies for selection.

resolve
string
array

Specifies details of how containers in a multi-container endpoint are called. see Inference Execution Config.

mode
string
array

The primary docker image containing inference code that is used when the model is deployed for predictions. If not specified, the container argument is required. Fields are documented below.

image
string
array

Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see Using a Private Docker Registry for Real-Time Inference Containers. see Image Config.

array

Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication. see Repository Auth Config.

mode
string
array

The location of model data to deploy. Use this for uncompressed model deployment. For information about how to deploy an uncompressed model, see Deploying uncompressed models in the AWS SageMaker Developer Guide.

array

The S3 location of model data to deploy.

region
requiredstring
tags
object
array

Specifies the VPC that you want your model to connect to. VpcConfig is used in hosting services and in batch transform.

array

No description provided.

subnets
array
array

No description provided.

object

THIS IS A BETA FIELD. It will be honored unless the Management Policies feature flag is disabled. InitProvider holds the same fields as ForProvider, with the exception of Identifier and other resource reference fields. The fields that are in InitProvider are merged into ForProvider when the resource is created. The same fields are also added to the terraform ignore_changes hook, to avoid updating them after creation. This is useful for fields that are required on creation, but we do not desire to update them after creation, for example because of an external controller is managing them, like an autoscaler.

array

Specifies containers in the inference pipeline. If not specified, the primary_container argument is required. Fields are documented below.

image
string
array

Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see Using a Private Docker Registry for Real-Time Inference Containers. see Image Config.

array

Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication. see Repository Auth Config.

mode
string
array

The location of model data to deploy. Use this for uncompressed model deployment. For information about how to deploy an uncompressed model, see Deploying uncompressed models in the AWS SageMaker Developer Guide.

array

The S3 location of model data to deploy.

object

Reference to a Role in iam to populate executionRoleArn.

name
requiredstring
policy
object
object

Policies for referencing.

resolve
string
object

Selector for a Role in iam to populate executionRoleArn.

policy
object
object

Policies for selection.

resolve
string
array

Specifies details of how containers in a multi-container endpoint are called. see Inference Execution Config.

mode
string
array

The primary docker image containing inference code that is used when the model is deployed for predictions. If not specified, the container argument is required. Fields are documented below.

image
string
array

Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see Using a Private Docker Registry for Real-Time Inference Containers. see Image Config.

array

Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication. see Repository Auth Config.

mode
string
array

The location of model data to deploy. Use this for uncompressed model deployment. For information about how to deploy an uncompressed model, see Deploying uncompressed models in the AWS SageMaker Developer Guide.

array

The S3 location of model data to deploy.

tags
object
array

Specifies the VPC that you want your model to connect to. VpcConfig is used in hosting services and in batch transform.

array

No description provided.

subnets
array
array

No description provided.

array

THIS IS A BETA FIELD. It is on by default but can be opted out through a Crossplane feature flag. ManagementPolicies specify the array of actions Crossplane is allowed to take on the managed and external resources. This field is planned to replace the DeletionPolicy field in a future release. Currently, both could be set independently and non-default values would be honored if the feature flag is enabled. If both are custom, the DeletionPolicy field will be ignored. See the design doc for more information: https://github.com/crossplane/crossplane/blob/499895a25d1a1a0ba1604944ef98ac7a1a71f197/design/design-doc-observe-only-resources.md?plain=1#L223 and this one: https://github.com/crossplane/crossplane/blob/444267e84783136daa93568b364a5f01228cacbe/design/one-pager-ignore-changes.md

object

ProviderConfigReference specifies how the provider that will be used to create, observe, update, and delete this managed resource should be configured.

name
requiredstring
policy
object
object

Policies for referencing.

resolve
string
object

PublishConnectionDetailsTo specifies the connection secret config which contains a name, metadata and a reference to secret store config to which any connection details for this managed resource should be written. Connection details frequently include the endpoint, username, and password required to connect to the managed resource.

configRef
object
object

SecretStoreConfigRef specifies which secret store config should be used for this ConnectionSecret.

name
requiredstring
policy
object
object

Policies for referencing.

resolve
string
metadata
object
object

Metadata is the metadata for connection secret.

labels
object
type
string
name
requiredstring
object

WriteConnectionSecretToReference specifies the namespace and name of a Secret to which any connection details for this managed resource should be written. Connection details frequently include the endpoint, username, and password required to connect to the managed resource. This field is planned to be replaced in a future release in favor of PublishConnectionDetailsTo. Currently, both could be set independently and connection details would be published to both without affecting each other.

name
requiredstring
namespace
requiredstring
status
object
object

ModelStatus defines the observed state of Model.

object

No description provided.

arn
string
array

Specifies containers in the inference pipeline. If not specified, the primary_container argument is required. Fields are documented below.

image
string
array

Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see Using a Private Docker Registry for Real-Time Inference Containers. see Image Config.

array

Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication. see Repository Auth Config.

mode
string
array

The location of model data to deploy. Use this for uncompressed model deployment. For information about how to deploy an uncompressed model, see Deploying uncompressed models in the AWS SageMaker Developer Guide.

array

The S3 location of model data to deploy.

id
string
array

Specifies details of how containers in a multi-container endpoint are called. see Inference Execution Config.

mode
string
array

The primary docker image containing inference code that is used when the model is deployed for predictions. If not specified, the container argument is required. Fields are documented below.

image
string
array

Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For more information see Using a Private Docker Registry for Real-Time Inference Containers. see Image Config.

array

Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication. see Repository Auth Config.

mode
string
array

The location of model data to deploy. Use this for uncompressed model deployment. For information about how to deploy an uncompressed model, see Deploying uncompressed models in the AWS SageMaker Developer Guide.

array

The S3 location of model data to deploy.

tags
object
tagsAll
object
array

Specifies the VPC that you want your model to connect to. VpcConfig is used in hosting services and in batch transform.

array

No description provided.

subnets
array
array

No description provided.

array

Conditions of the resource.

lastTransitionTime
requiredstring
message
string
reason
requiredstring
status
requiredstring
type
requiredstring
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