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

package com.pulumi.gcp.container.kotlin.inputs

import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.gcp.container.inputs.ClusterNodeConfigGuestAcceleratorGpuSharingConfigArgs.builder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiNullFieldException
import com.pulumi.kotlin.PulumiTagMarker
import kotlin.Int
import kotlin.String
import kotlin.Suppress
import kotlin.jvm.JvmName

/**
 *
 * @property gpuSharingStrategy The type of GPU sharing strategy to enable on the GPU node.
 * Accepted values are:
 * * `"TIME_SHARING"`: Allow multiple containers to have [time-shared](https://cloud.google.com/kubernetes-engine/docs/concepts/timesharing-gpus) access to a single GPU device.
 * * `"MPS"`: Enable co-operative multi-process CUDA workloads to run concurrently on a single GPU device with [MPS](https://cloud.google.com/kubernetes-engine/docs/how-to/nvidia-mps-gpus)
 * @property maxSharedClientsPerGpu The maximum number of containers that can share a GPU.
 */
public data class ClusterNodeConfigGuestAcceleratorGpuSharingConfigArgs(
    public val gpuSharingStrategy: Output,
    public val maxSharedClientsPerGpu: Output,
) :
    ConvertibleToJava {
    override fun toJava(): com.pulumi.gcp.container.inputs.ClusterNodeConfigGuestAcceleratorGpuSharingConfigArgs =
        com.pulumi.gcp.container.inputs.ClusterNodeConfigGuestAcceleratorGpuSharingConfigArgs.builder()
            .gpuSharingStrategy(gpuSharingStrategy.applyValue({ args0 -> args0 }))
            .maxSharedClientsPerGpu(maxSharedClientsPerGpu.applyValue({ args0 -> args0 })).build()
}

/**
 * Builder for [ClusterNodeConfigGuestAcceleratorGpuSharingConfigArgs].
 */
@PulumiTagMarker
public class ClusterNodeConfigGuestAcceleratorGpuSharingConfigArgsBuilder internal constructor() {
    private var gpuSharingStrategy: Output? = null

    private var maxSharedClientsPerGpu: Output? = null

    /**
     * @param value The type of GPU sharing strategy to enable on the GPU node.
     * Accepted values are:
     * * `"TIME_SHARING"`: Allow multiple containers to have [time-shared](https://cloud.google.com/kubernetes-engine/docs/concepts/timesharing-gpus) access to a single GPU device.
     * * `"MPS"`: Enable co-operative multi-process CUDA workloads to run concurrently on a single GPU device with [MPS](https://cloud.google.com/kubernetes-engine/docs/how-to/nvidia-mps-gpus)
     */
    @JvmName("iwgcsrvihdnmfgka")
    public suspend fun gpuSharingStrategy(`value`: Output) {
        this.gpuSharingStrategy = value
    }

    /**
     * @param value The maximum number of containers that can share a GPU.
     */
    @JvmName("kbybxohhqpmtboyx")
    public suspend fun maxSharedClientsPerGpu(`value`: Output) {
        this.maxSharedClientsPerGpu = value
    }

    /**
     * @param value The type of GPU sharing strategy to enable on the GPU node.
     * Accepted values are:
     * * `"TIME_SHARING"`: Allow multiple containers to have [time-shared](https://cloud.google.com/kubernetes-engine/docs/concepts/timesharing-gpus) access to a single GPU device.
     * * `"MPS"`: Enable co-operative multi-process CUDA workloads to run concurrently on a single GPU device with [MPS](https://cloud.google.com/kubernetes-engine/docs/how-to/nvidia-mps-gpus)
     */
    @JvmName("swqxedovdtusecfv")
    public suspend fun gpuSharingStrategy(`value`: String) {
        val toBeMapped = value
        val mapped = toBeMapped.let({ args0 -> of(args0) })
        this.gpuSharingStrategy = mapped
    }

    /**
     * @param value The maximum number of containers that can share a GPU.
     */
    @JvmName("hrfcywyrtnkuddbn")
    public suspend fun maxSharedClientsPerGpu(`value`: Int) {
        val toBeMapped = value
        val mapped = toBeMapped.let({ args0 -> of(args0) })
        this.maxSharedClientsPerGpu = mapped
    }

    internal fun build(): ClusterNodeConfigGuestAcceleratorGpuSharingConfigArgs =
        ClusterNodeConfigGuestAcceleratorGpuSharingConfigArgs(
            gpuSharingStrategy = gpuSharingStrategy ?: throw PulumiNullFieldException("gpuSharingStrategy"),
            maxSharedClientsPerGpu = maxSharedClientsPerGpu ?: throw
                PulumiNullFieldException("maxSharedClientsPerGpu"),
        )
}




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