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

package com.pulumi.awsnative.batch.kotlin.inputs

import com.pulumi.awsnative.batch.inputs.JobDefinitionResourceRequirementArgs.builder
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import kotlin.String
import kotlin.Suppress
import kotlin.jvm.JvmName

/**
 *
 * @property type The type of resource to assign to a container. The supported resources include `GPU` , `MEMORY` , and `VCPU` .
 * @property value The quantity of the specified resource to reserve for the container. The values vary based on the `type` specified.
 * - **type="GPU"** - The number of physical GPUs to reserve for the container. Make sure that the number of GPUs reserved for all containers in a job doesn't exceed the number of available GPUs on the compute resource that the job is launched on.
 * > GPUs aren't available for jobs that are running on Fargate resources.
 * - **type="MEMORY"** - The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are running on Amazon EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This parameter maps to `Memory` in the [Create a container](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/#create-a-container) section of the [Docker Remote API](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/) and the `--memory` option to [docker run](https://docs.aws.amazon.com/https://docs.docker.com/engine/reference/run/) . You must specify at least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to `Memory` in the [Create a container](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/#create-a-container) section of the [Docker Remote API](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/) and the `--memory` option to [docker run](https://docs.aws.amazon.com/https://docs.docker.com/engine/reference/run/) .
 * > If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see [Memory management](https://docs.aws.amazon.com/batch/latest/userguide/memory-management.html) in the *AWS Batch User Guide* .
 * For jobs that are running on Fargate resources, then `value` is the hard limit (in MiB), and must match one of the supported values and the `VCPU` values must be one of the values supported for that memory value.
 * - **value = 512** - `VCPU` = 0.25
 * - **value = 1024** - `VCPU` = 0.25 or 0.5
 * - **value = 2048** - `VCPU` = 0.25, 0.5, or 1
 * - **value = 3072** - `VCPU` = 0.5, or 1
 * - **value = 4096** - `VCPU` = 0.5, 1, or 2
 * - **value = 5120, 6144, or 7168** - `VCPU` = 1 or 2
 * - **value = 8192** - `VCPU` = 1, 2, or 4
 * - **value = 9216, 10240, 11264, 12288, 13312, 14336, or 15360** - `VCPU` = 2 or 4
 * - **value = 16384** - `VCPU` = 2, 4, or 8
 * - **value = 17408, 18432, 19456, 21504, 22528, 23552, 25600, 26624, 27648, 29696, or 30720** - `VCPU` = 4
 * - **value = 20480, 24576, or 28672** - `VCPU` = 4 or 8
 * - **value = 36864, 45056, 53248, or 61440** - `VCPU` = 8
 * - **value = 32768, 40960, 49152, or 57344** - `VCPU` = 8 or 16
 * - **value = 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880** - `VCPU` = 16
 * - **type="VCPU"** - The number of vCPUs reserved for the container. This parameter maps to `CpuShares` in the [Create a container](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/#create-a-container) section of the [Docker Remote API](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/) and the `--cpu-shares` option to [docker run](https://docs.aws.amazon.com/https://docs.docker.com/engine/reference/run/) . Each vCPU is equivalent to 1,024 CPU shares. For Amazon EC2 resources, you must specify at least one vCPU. This is required but can be specified in several places; it must be specified for each node at least once.
 * The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about Fargate quotas, see [AWS Fargate quotas](https://docs.aws.amazon.com/general/latest/gr/ecs-service.html#service-quotas-fargate) in the *AWS General Reference* .
 * For jobs that are running on Fargate resources, then `value` must match one of the supported values and the `MEMORY` values must be one of the values supported for that `VCPU` value. The supported values are 0.25, 0.5, 1, 2, 4, 8, and 16
 * - **value = 0.25** - `MEMORY` = 512, 1024, or 2048
 * - **value = 0.5** - `MEMORY` = 1024, 2048, 3072, or 4096
 * - **value = 1** - `MEMORY` = 2048, 3072, 4096, 5120, 6144, 7168, or 8192
 * - **value = 2** - `MEMORY` = 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384
 * - **value = 4** - `MEMORY` = 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720
 * - **value = 8** - `MEMORY` = 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or 61440
 * - **value = 16** - `MEMORY` = 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880
 */
public data class JobDefinitionResourceRequirementArgs(
    public val type: Output? = null,
    public val `value`: Output? = null,
) : ConvertibleToJava {
    override fun toJava(): com.pulumi.awsnative.batch.inputs.JobDefinitionResourceRequirementArgs =
        com.pulumi.awsnative.batch.inputs.JobDefinitionResourceRequirementArgs.builder()
            .type(type?.applyValue({ args0 -> args0 }))
            .`value`(`value`?.applyValue({ args0 -> args0 })).build()
}

/**
 * Builder for [JobDefinitionResourceRequirementArgs].
 */
@PulumiTagMarker
public class JobDefinitionResourceRequirementArgsBuilder internal constructor() {
    private var type: Output? = null

    private var `value`: Output? = null

    /**
     * @param value The type of resource to assign to a container. The supported resources include `GPU` , `MEMORY` , and `VCPU` .
     */
    @JvmName("uwnwjpsovlqyfddm")
    public suspend fun type(`value`: Output) {
        this.type = value
    }

    /**
     * @param value The quantity of the specified resource to reserve for the container. The values vary based on the `type` specified.
     * - **type="GPU"** - The number of physical GPUs to reserve for the container. Make sure that the number of GPUs reserved for all containers in a job doesn't exceed the number of available GPUs on the compute resource that the job is launched on.
     * > GPUs aren't available for jobs that are running on Fargate resources.
     * - **type="MEMORY"** - The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are running on Amazon EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This parameter maps to `Memory` in the [Create a container](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/#create-a-container) section of the [Docker Remote API](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/) and the `--memory` option to [docker run](https://docs.aws.amazon.com/https://docs.docker.com/engine/reference/run/) . You must specify at least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to `Memory` in the [Create a container](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/#create-a-container) section of the [Docker Remote API](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/) and the `--memory` option to [docker run](https://docs.aws.amazon.com/https://docs.docker.com/engine/reference/run/) .
     * > If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see [Memory management](https://docs.aws.amazon.com/batch/latest/userguide/memory-management.html) in the *AWS Batch User Guide* .
     * For jobs that are running on Fargate resources, then `value` is the hard limit (in MiB), and must match one of the supported values and the `VCPU` values must be one of the values supported for that memory value.
     * - **value = 512** - `VCPU` = 0.25
     * - **value = 1024** - `VCPU` = 0.25 or 0.5
     * - **value = 2048** - `VCPU` = 0.25, 0.5, or 1
     * - **value = 3072** - `VCPU` = 0.5, or 1
     * - **value = 4096** - `VCPU` = 0.5, 1, or 2
     * - **value = 5120, 6144, or 7168** - `VCPU` = 1 or 2
     * - **value = 8192** - `VCPU` = 1, 2, or 4
     * - **value = 9216, 10240, 11264, 12288, 13312, 14336, or 15360** - `VCPU` = 2 or 4
     * - **value = 16384** - `VCPU` = 2, 4, or 8
     * - **value = 17408, 18432, 19456, 21504, 22528, 23552, 25600, 26624, 27648, 29696, or 30720** - `VCPU` = 4
     * - **value = 20480, 24576, or 28672** - `VCPU` = 4 or 8
     * - **value = 36864, 45056, 53248, or 61440** - `VCPU` = 8
     * - **value = 32768, 40960, 49152, or 57344** - `VCPU` = 8 or 16
     * - **value = 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880** - `VCPU` = 16
     * - **type="VCPU"** - The number of vCPUs reserved for the container. This parameter maps to `CpuShares` in the [Create a container](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/#create-a-container) section of the [Docker Remote API](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/) and the `--cpu-shares` option to [docker run](https://docs.aws.amazon.com/https://docs.docker.com/engine/reference/run/) . Each vCPU is equivalent to 1,024 CPU shares. For Amazon EC2 resources, you must specify at least one vCPU. This is required but can be specified in several places; it must be specified for each node at least once.
     * The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about Fargate quotas, see [AWS Fargate quotas](https://docs.aws.amazon.com/general/latest/gr/ecs-service.html#service-quotas-fargate) in the *AWS General Reference* .
     * For jobs that are running on Fargate resources, then `value` must match one of the supported values and the `MEMORY` values must be one of the values supported for that `VCPU` value. The supported values are 0.25, 0.5, 1, 2, 4, 8, and 16
     * - **value = 0.25** - `MEMORY` = 512, 1024, or 2048
     * - **value = 0.5** - `MEMORY` = 1024, 2048, 3072, or 4096
     * - **value = 1** - `MEMORY` = 2048, 3072, 4096, 5120, 6144, 7168, or 8192
     * - **value = 2** - `MEMORY` = 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384
     * - **value = 4** - `MEMORY` = 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720
     * - **value = 8** - `MEMORY` = 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or 61440
     * - **value = 16** - `MEMORY` = 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880
     */
    @JvmName("menklflbgykvpfrh")
    public suspend fun `value`(`value`: Output) {
        this.`value` = value
    }

    /**
     * @param value The type of resource to assign to a container. The supported resources include `GPU` , `MEMORY` , and `VCPU` .
     */
    @JvmName("ailplvhavbxsfdtm")
    public suspend fun type(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.type = mapped
    }

    /**
     * @param value The quantity of the specified resource to reserve for the container. The values vary based on the `type` specified.
     * - **type="GPU"** - The number of physical GPUs to reserve for the container. Make sure that the number of GPUs reserved for all containers in a job doesn't exceed the number of available GPUs on the compute resource that the job is launched on.
     * > GPUs aren't available for jobs that are running on Fargate resources.
     * - **type="MEMORY"** - The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are running on Amazon EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This parameter maps to `Memory` in the [Create a container](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/#create-a-container) section of the [Docker Remote API](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/) and the `--memory` option to [docker run](https://docs.aws.amazon.com/https://docs.docker.com/engine/reference/run/) . You must specify at least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to `Memory` in the [Create a container](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/#create-a-container) section of the [Docker Remote API](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/) and the `--memory` option to [docker run](https://docs.aws.amazon.com/https://docs.docker.com/engine/reference/run/) .
     * > If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see [Memory management](https://docs.aws.amazon.com/batch/latest/userguide/memory-management.html) in the *AWS Batch User Guide* .
     * For jobs that are running on Fargate resources, then `value` is the hard limit (in MiB), and must match one of the supported values and the `VCPU` values must be one of the values supported for that memory value.
     * - **value = 512** - `VCPU` = 0.25
     * - **value = 1024** - `VCPU` = 0.25 or 0.5
     * - **value = 2048** - `VCPU` = 0.25, 0.5, or 1
     * - **value = 3072** - `VCPU` = 0.5, or 1
     * - **value = 4096** - `VCPU` = 0.5, 1, or 2
     * - **value = 5120, 6144, or 7168** - `VCPU` = 1 or 2
     * - **value = 8192** - `VCPU` = 1, 2, or 4
     * - **value = 9216, 10240, 11264, 12288, 13312, 14336, or 15360** - `VCPU` = 2 or 4
     * - **value = 16384** - `VCPU` = 2, 4, or 8
     * - **value = 17408, 18432, 19456, 21504, 22528, 23552, 25600, 26624, 27648, 29696, or 30720** - `VCPU` = 4
     * - **value = 20480, 24576, or 28672** - `VCPU` = 4 or 8
     * - **value = 36864, 45056, 53248, or 61440** - `VCPU` = 8
     * - **value = 32768, 40960, 49152, or 57344** - `VCPU` = 8 or 16
     * - **value = 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880** - `VCPU` = 16
     * - **type="VCPU"** - The number of vCPUs reserved for the container. This parameter maps to `CpuShares` in the [Create a container](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/#create-a-container) section of the [Docker Remote API](https://docs.aws.amazon.com/https://docs.docker.com/engine/api/v1.23/) and the `--cpu-shares` option to [docker run](https://docs.aws.amazon.com/https://docs.docker.com/engine/reference/run/) . Each vCPU is equivalent to 1,024 CPU shares. For Amazon EC2 resources, you must specify at least one vCPU. This is required but can be specified in several places; it must be specified for each node at least once.
     * The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about Fargate quotas, see [AWS Fargate quotas](https://docs.aws.amazon.com/general/latest/gr/ecs-service.html#service-quotas-fargate) in the *AWS General Reference* .
     * For jobs that are running on Fargate resources, then `value` must match one of the supported values and the `MEMORY` values must be one of the values supported for that `VCPU` value. The supported values are 0.25, 0.5, 1, 2, 4, 8, and 16
     * - **value = 0.25** - `MEMORY` = 512, 1024, or 2048
     * - **value = 0.5** - `MEMORY` = 1024, 2048, 3072, or 4096
     * - **value = 1** - `MEMORY` = 2048, 3072, 4096, 5120, 6144, 7168, or 8192
     * - **value = 2** - `MEMORY` = 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384
     * - **value = 4** - `MEMORY` = 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720
     * - **value = 8** - `MEMORY` = 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or 61440
     * - **value = 16** - `MEMORY` = 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880
     */
    @JvmName("wypwfekdtyinwera")
    public suspend fun `value`(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.`value` = mapped
    }

    internal fun build(): JobDefinitionResourceRequirementArgs = JobDefinitionResourceRequirementArgs(
        type = type,
        `value` = `value`,
    )
}




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