pulumi-aws-kotlin/com.pulumi.aws.sagemaker.kotlin.inputs/GetPrebuiltEcrImagePlainArgs

GetPrebuiltEcrImagePlainArgs

data class GetPrebuiltEcrImagePlainArgs(val dnsSuffix: String? = null, val imageTag: String? = null, val region: String? = null, val repositoryName: String) : ConvertibleToJava<GetPrebuiltEcrImagePlainArgs>

A collection of arguments for invoking getPrebuiltEcrImage.

Constructors

fun GetPrebuiltEcrImagePlainArgs(dnsSuffix: String? = null, imageTag: String? = null, region: String? = null, repositoryName: String)

Functions

toJava

open override fun toJava(): GetPrebuiltEcrImagePlainArgs

Properties

dnsSuffix

val dnsSuffix: String? = null

DNS suffix to use in the registry path. If not specified, the AWS provider sets it to the DNS suffix for the current region.

imageTag

val imageTag: String? = null

Image tag for the Docker image. If not specified, the AWS provider sets the value to 1, which for many repositories indicates the latest version. Some repositories, such as XGBoost, do not support 1 or latest and specific version must be used.

region

val region: String? = null

Region to use in the registry path. If not specified, the AWS provider sets it to the current region.

repositoryName

val repositoryName: String

Name of the repository, which is generally the algorithm or library. Values include blazingtext, factorization-machines, forecasting-deepar, image-classification, ipinsights, kmeans, knn, lda, linear-learner, mxnet-inference-eia, mxnet-inference, mxnet-training, ntm, object-detection, object2vec, pca, pytorch-inference-eia, pytorch-inference, pytorch-training, randomcutforest, sagemaker-scikit-learn, sagemaker-sparkml-serving, sagemaker-xgboost, semantic-segmentation, seq2seq, tensorflow-inference-eia, tensorflow-inference, tensorflow-training, huggingface-tensorflow-training, huggingface-tensorflow-inference, huggingface-pytorch-training, and huggingface-pytorch-inference.