com.pulumi.gcp.dataproc.kotlin.outputs.ClusterClusterConfigMasterConfigAccelerator.kt Maven / Gradle / Ivy

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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.

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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.gcp.dataproc.kotlin.outputs

import kotlin.Int
import kotlin.String
import kotlin.Suppress

/**
 *
 * @property acceleratorCount The number of the accelerator cards of this type exposed to this instance. Often restricted to one of `1`, `2`, `4`, or `8`.
 * > The Cloud Dataproc API can return unintuitive error messages when using accelerators; even when you have defined an accelerator, Auto Zone Placement does not exclusively select
 * zones that have that accelerator available. If you get a 400 error that the accelerator can't be found, this is a likely cause. Make sure you check [accelerator availability by zone](https://cloud.google.com/compute/docs/reference/rest/v1/acceleratorTypes/list)
 * if you are trying to use accelerators in a given zone.
 * - - -
 * @property acceleratorType The short name of the accelerator type to expose to this instance. For example, `nvidia-tesla-k80`.
 */
public data class ClusterClusterConfigMasterConfigAccelerator(
    public val acceleratorCount: Int,
    public val acceleratorType: String,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.gcp.dataproc.outputs.ClusterClusterConfigMasterConfigAccelerator): ClusterClusterConfigMasterConfigAccelerator = ClusterClusterConfigMasterConfigAccelerator(
            acceleratorCount = javaType.acceleratorCount(),
            acceleratorType = javaType.acceleratorType(),
        )
    }
}