
com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceComponentContainerSpecification.kt Maven / Gradle / Ivy
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.awsnative.sagemaker.kotlin.outputs
import kotlin.String
import kotlin.Suppress
import kotlin.collections.Map
/**
*
* @property artifactUrl The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
* @property deployedImage
* @property environment The environment variables to set in the Docker container. Each key and value in the Environment string-to-string map can have length of up to 1024. We support up to 16 entries in the map.
* @property image The Amazon Elastic Container Registry (Amazon ECR) path where the Docker image for the model is stored.
*/
public data class InferenceComponentContainerSpecification(
public val artifactUrl: String? = null,
public val deployedImage: InferenceComponentDeployedImage? = null,
public val environment: Map? = null,
public val image: String? = null,
) {
public companion object {
public fun toKotlin(javaType: com.pulumi.awsnative.sagemaker.outputs.InferenceComponentContainerSpecification): InferenceComponentContainerSpecification = InferenceComponentContainerSpecification(
artifactUrl = javaType.artifactUrl().map({ args0 -> args0 }).orElse(null),
deployedImage = javaType.deployedImage().map({ args0 ->
args0.let({ args0 ->
com.pulumi.awsnative.sagemaker.kotlin.outputs.InferenceComponentDeployedImage.Companion.toKotlin(args0)
})
}).orElse(null),
environment = javaType.environment().map({ args0 -> args0.key.to(args0.value) }).toMap(),
image = javaType.image().map({ args0 -> args0 }).orElse(null),
)
}
}
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