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

package com.pulumi.gcp.vertex.kotlin

import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.gcp.vertex.AiDeploymentResourcePoolArgs.builder
import com.pulumi.gcp.vertex.kotlin.inputs.AiDeploymentResourcePoolDedicatedResourcesArgs
import com.pulumi.gcp.vertex.kotlin.inputs.AiDeploymentResourcePoolDedicatedResourcesArgsBuilder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.jvm.JvmName

/**
 * 'DeploymentResourcePool can be shared by multiple deployed models,
 * whose underlying specification consists of dedicated resources.'
 * To get more information about DeploymentResourcePool, see:
 * * [API documentation](https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.deploymentResourcePools)
 * ## Example Usage
 * ### Vertex Ai Deployment Resource Pool
 * 
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 * const deploymentResourcePool = new gcp.vertex.AiDeploymentResourcePool("deployment_resource_pool", {
 *     region: "us-central1",
 *     name: "example-deployment-resource-pool",
 *     dedicatedResources: {
 *         machineSpec: {
 *             machineType: "n1-standard-4",
 *             acceleratorType: "NVIDIA_TESLA_K80",
 *             acceleratorCount: 1,
 *         },
 *         minReplicaCount: 1,
 *         maxReplicaCount: 2,
 *         autoscalingMetricSpecs: [{
 *             metricName: "aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle",
 *             target: 60,
 *         }],
 *     },
 * });
 * ```
 * ```python
 * import pulumi
 * import pulumi_gcp as gcp
 * deployment_resource_pool = gcp.vertex.AiDeploymentResourcePool("deployment_resource_pool",
 *     region="us-central1",
 *     name="example-deployment-resource-pool",
 *     dedicated_resources=gcp.vertex.AiDeploymentResourcePoolDedicatedResourcesArgs(
 *         machine_spec=gcp.vertex.AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs(
 *             machine_type="n1-standard-4",
 *             accelerator_type="NVIDIA_TESLA_K80",
 *             accelerator_count=1,
 *         ),
 *         min_replica_count=1,
 *         max_replica_count=2,
 *         autoscaling_metric_specs=[gcp.vertex.AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs(
 *             metric_name="aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle",
 *             target=60,
 *         )],
 *     ))
 * ```
 * ```csharp
 * using System.Collections.Generic;
 * using System.Linq;
 * using Pulumi;
 * using Gcp = Pulumi.Gcp;
 * return await Deployment.RunAsync(() =>
 * {
 *     var deploymentResourcePool = new Gcp.Vertex.AiDeploymentResourcePool("deployment_resource_pool", new()
 *     {
 *         Region = "us-central1",
 *         Name = "example-deployment-resource-pool",
 *         DedicatedResources = new Gcp.Vertex.Inputs.AiDeploymentResourcePoolDedicatedResourcesArgs
 *         {
 *             MachineSpec = new Gcp.Vertex.Inputs.AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs
 *             {
 *                 MachineType = "n1-standard-4",
 *                 AcceleratorType = "NVIDIA_TESLA_K80",
 *                 AcceleratorCount = 1,
 *             },
 *             MinReplicaCount = 1,
 *             MaxReplicaCount = 2,
 *             AutoscalingMetricSpecs = new[]
 *             {
 *                 new Gcp.Vertex.Inputs.AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs
 *                 {
 *                     MetricName = "aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle",
 *                     Target = 60,
 *                 },
 *             },
 *         },
 *     });
 * });
 * ```
 * ```go
 * package main
 * import (
 * 	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/vertex"
 * 	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
 * )
 * func main() {
 * 	pulumi.Run(func(ctx *pulumi.Context) error {
 * 		_, err := vertex.NewAiDeploymentResourcePool(ctx, "deployment_resource_pool", &vertex.AiDeploymentResourcePoolArgs{
 * 			Region: pulumi.String("us-central1"),
 * 			Name:   pulumi.String("example-deployment-resource-pool"),
 * 			DedicatedResources: &vertex.AiDeploymentResourcePoolDedicatedResourcesArgs{
 * 				MachineSpec: &vertex.AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs{
 * 					MachineType:      pulumi.String("n1-standard-4"),
 * 					AcceleratorType:  pulumi.String("NVIDIA_TESLA_K80"),
 * 					AcceleratorCount: pulumi.Int(1),
 * 				},
 * 				MinReplicaCount: pulumi.Int(1),
 * 				MaxReplicaCount: pulumi.Int(2),
 * 				AutoscalingMetricSpecs: vertex.AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArray{
 * 					&vertex.AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs{
 * 						MetricName: pulumi.String("aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle"),
 * 						Target:     pulumi.Int(60),
 * 					},
 * 				},
 * 			},
 * 		})
 * 		if err != nil {
 * 			return err
 * 		}
 * 		return nil
 * 	})
 * }
 * ```
 * ```java
 * package generated_program;
 * import com.pulumi.Context;
 * import com.pulumi.Pulumi;
 * import com.pulumi.core.Output;
 * import com.pulumi.gcp.vertex.AiDeploymentResourcePool;
 * import com.pulumi.gcp.vertex.AiDeploymentResourcePoolArgs;
 * import com.pulumi.gcp.vertex.inputs.AiDeploymentResourcePoolDedicatedResourcesArgs;
 * import com.pulumi.gcp.vertex.inputs.AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs;
 * import java.util.List;
 * import java.util.ArrayList;
 * import java.util.Map;
 * import java.io.File;
 * import java.nio.file.Files;
 * import java.nio.file.Paths;
 * public class App {
 *     public static void main(String[] args) {
 *         Pulumi.run(App::stack);
 *     }
 *     public static void stack(Context ctx) {
 *         var deploymentResourcePool = new AiDeploymentResourcePool("deploymentResourcePool", AiDeploymentResourcePoolArgs.builder()
 *             .region("us-central1")
 *             .name("example-deployment-resource-pool")
 *             .dedicatedResources(AiDeploymentResourcePoolDedicatedResourcesArgs.builder()
 *                 .machineSpec(AiDeploymentResourcePoolDedicatedResourcesMachineSpecArgs.builder()
 *                     .machineType("n1-standard-4")
 *                     .acceleratorType("NVIDIA_TESLA_K80")
 *                     .acceleratorCount(1)
 *                     .build())
 *                 .minReplicaCount(1)
 *                 .maxReplicaCount(2)
 *                 .autoscalingMetricSpecs(AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs.builder()
 *                     .metricName("aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle")
 *                     .target(60)
 *                     .build())
 *                 .build())
 *             .build());
 *     }
 * }
 * ```
 * ```yaml
 * resources:
 *   deploymentResourcePool:
 *     type: gcp:vertex:AiDeploymentResourcePool
 *     name: deployment_resource_pool
 *     properties:
 *       region: us-central1
 *       name: example-deployment-resource-pool
 *       dedicatedResources:
 *         machineSpec:
 *           machineType: n1-standard-4
 *           acceleratorType: NVIDIA_TESLA_K80
 *           acceleratorCount: 1
 *         minReplicaCount: 1
 *         maxReplicaCount: 2
 *         autoscalingMetricSpecs:
 *           - metricName: aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle
 *             target: 60
 * ```
 * 
 * ## Import
 * DeploymentResourcePool can be imported using any of these accepted formats:
 * * `projects/{{project}}/locations/{{region}}/deploymentResourcePools/{{name}}`
 * * `{{project}}/{{region}}/{{name}}`
 * * `{{region}}/{{name}}`
 * * `{{name}}`
 * When using the `pulumi import` command, DeploymentResourcePool can be imported using one of the formats above. For example:
 * ```sh
 * $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default projects/{{project}}/locations/{{region}}/deploymentResourcePools/{{name}}
 * ```
 * ```sh
 * $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default {{project}}/{{region}}/{{name}}
 * ```
 * ```sh
 * $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default {{region}}/{{name}}
 * ```
 * ```sh
 * $ pulumi import gcp:vertex/aiDeploymentResourcePool:AiDeploymentResourcePool default {{name}}
 * ```
 * @property dedicatedResources The underlying dedicated resources that the deployment resource pool uses.
 * Structure is documented below.
 * @property name The resource name of deployment resource pool. The maximum length is 63 characters, and valid characters are `/^a-z?$/`.
 * - - -
 * @property project The ID of the project in which the resource belongs.
 * If it is not provided, the provider project is used.
 * @property region The region of deployment resource pool. eg us-central1
 */
public data class AiDeploymentResourcePoolArgs(
    public val dedicatedResources: Output? = null,
    public val name: Output? = null,
    public val project: Output? = null,
    public val region: Output? = null,
) : ConvertibleToJava {
    override fun toJava(): com.pulumi.gcp.vertex.AiDeploymentResourcePoolArgs =
        com.pulumi.gcp.vertex.AiDeploymentResourcePoolArgs.builder()
            .dedicatedResources(
                dedicatedResources?.applyValue({ args0 ->
                    args0.let({ args0 ->
                        args0.toJava()
                    })
                }),
            )
            .name(name?.applyValue({ args0 -> args0 }))
            .project(project?.applyValue({ args0 -> args0 }))
            .region(region?.applyValue({ args0 -> args0 })).build()
}

/**
 * Builder for [AiDeploymentResourcePoolArgs].
 */
@PulumiTagMarker
public class AiDeploymentResourcePoolArgsBuilder internal constructor() {
    private var dedicatedResources: Output? = null

    private var name: Output? = null

    private var project: Output? = null

    private var region: Output? = null

    /**
     * @param value The underlying dedicated resources that the deployment resource pool uses.
     * Structure is documented below.
     */
    @JvmName("wdiyddqaidjatxnd")
    public suspend fun dedicatedResources(`value`: Output) {
        this.dedicatedResources = value
    }

    /**
     * @param value The resource name of deployment resource pool. The maximum length is 63 characters, and valid characters are `/^a-z?$/`.
     * - - -
     */
    @JvmName("lakybgsbfxpjapdb")
    public suspend fun name(`value`: Output) {
        this.name = value
    }

    /**
     * @param value The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    @JvmName("oevxkotfkjjouyku")
    public suspend fun project(`value`: Output) {
        this.project = value
    }

    /**
     * @param value The region of deployment resource pool. eg us-central1
     */
    @JvmName("hxidtyfortchhjrt")
    public suspend fun region(`value`: Output) {
        this.region = value
    }

    /**
     * @param value The underlying dedicated resources that the deployment resource pool uses.
     * Structure is documented below.
     */
    @JvmName("lpeusmvbxiiyxlps")
    public suspend fun dedicatedResources(`value`: AiDeploymentResourcePoolDedicatedResourcesArgs?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.dedicatedResources = mapped
    }

    /**
     * @param argument The underlying dedicated resources that the deployment resource pool uses.
     * Structure is documented below.
     */
    @JvmName("kmbowlecnbubwabr")
    public suspend fun dedicatedResources(argument: suspend AiDeploymentResourcePoolDedicatedResourcesArgsBuilder.() -> Unit) {
        val toBeMapped = AiDeploymentResourcePoolDedicatedResourcesArgsBuilder().applySuspend {
            argument()
        }.build()
        val mapped = of(toBeMapped)
        this.dedicatedResources = mapped
    }

    /**
     * @param value The resource name of deployment resource pool. The maximum length is 63 characters, and valid characters are `/^a-z?$/`.
     * - - -
     */
    @JvmName("nhyxhllkulfdexkl")
    public suspend fun name(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.name = mapped
    }

    /**
     * @param value The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    @JvmName("jshonhjkpasvxykj")
    public suspend fun project(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.project = mapped
    }

    /**
     * @param value The region of deployment resource pool. eg us-central1
     */
    @JvmName("btsjvyxnosgnjtem")
    public suspend fun region(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.region = mapped
    }

    internal fun build(): AiDeploymentResourcePoolArgs = AiDeploymentResourcePoolArgs(
        dedicatedResources = dedicatedResources,
        name = name,
        project = project,
        region = region,
    )
}




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