com.pulumi.gcp.container.kotlin.outputs.ClusterNodePoolNodeConfigGuestAccelerator.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.container.kotlin.outputs

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

/**
 *
 * @property count The number of the guest accelerator cards exposed to this instance.
 * @property gpuDriverInstallationConfig Configuration for auto installation of GPU driver. Structure is documented below.
 * @property gpuPartitionSize Size of partitions to create on the GPU. Valid values are described in the NVIDIA mig [user guide](https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#partitioning).
 * @property gpuSharingConfig Configuration for GPU sharing. Structure is documented below.
 * @property type The accelerator type resource to expose to this instance. E.g. `nvidia-tesla-k80`.
 */
public data class ClusterNodePoolNodeConfigGuestAccelerator(
    public val count: Int,
    public val gpuDriverInstallationConfig: ClusterNodePoolNodeConfigGuestAcceleratorGpuDriverInstallationConfig? = null,
    public val gpuPartitionSize: String? = null,
    public val gpuSharingConfig: ClusterNodePoolNodeConfigGuestAcceleratorGpuSharingConfig? = null,
    public val type: String,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.gcp.container.outputs.ClusterNodePoolNodeConfigGuestAccelerator): ClusterNodePoolNodeConfigGuestAccelerator = ClusterNodePoolNodeConfigGuestAccelerator(
            count = javaType.count(),
            gpuDriverInstallationConfig = javaType.gpuDriverInstallationConfig().map({ args0 ->
                args0.let({ args0 ->
                    com.pulumi.gcp.container.kotlin.outputs.ClusterNodePoolNodeConfigGuestAcceleratorGpuDriverInstallationConfig.Companion.toKotlin(args0)
                })
            }).orElse(null),
            gpuPartitionSize = javaType.gpuPartitionSize().map({ args0 -> args0 }).orElse(null),
            gpuSharingConfig = javaType.gpuSharingConfig().map({ args0 ->
                args0.let({ args0 ->
                    com.pulumi.gcp.container.kotlin.outputs.ClusterNodePoolNodeConfigGuestAcceleratorGpuSharingConfig.Companion.toKotlin(args0)
                })
            }).orElse(null),
            type = javaType.type(),
        )
    }
}