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com.pulumi.azure.machinelearning.kotlin.ComputeCluster.kt Maven / Gradle / Ivy
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.azure.machinelearning.kotlin
import com.pulumi.azure.machinelearning.kotlin.outputs.ComputeClusterIdentity
import com.pulumi.azure.machinelearning.kotlin.outputs.ComputeClusterScaleSettings
import com.pulumi.azure.machinelearning.kotlin.outputs.ComputeClusterSsh
import com.pulumi.core.Output
import com.pulumi.kotlin.KotlinCustomResource
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.ResourceMapper
import com.pulumi.kotlin.options.CustomResourceOptions
import com.pulumi.kotlin.options.CustomResourceOptionsBuilder
import com.pulumi.resources.Resource
import kotlin.Boolean
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.Map
import com.pulumi.azure.machinelearning.kotlin.outputs.ComputeClusterIdentity.Companion.toKotlin as computeClusterIdentityToKotlin
import com.pulumi.azure.machinelearning.kotlin.outputs.ComputeClusterScaleSettings.Companion.toKotlin as computeClusterScaleSettingsToKotlin
import com.pulumi.azure.machinelearning.kotlin.outputs.ComputeClusterSsh.Companion.toKotlin as computeClusterSshToKotlin
/**
* Builder for [ComputeCluster].
*/
@PulumiTagMarker
public class ComputeClusterResourceBuilder internal constructor() {
public var name: String? = null
public var args: ComputeClusterArgs = ComputeClusterArgs()
public var opts: CustomResourceOptions = CustomResourceOptions()
/**
* @param name The _unique_ name of the resulting resource.
*/
public fun name(`value`: String) {
this.name = value
}
/**
* @param block The arguments to use to populate this resource's properties.
*/
public suspend fun args(block: suspend ComputeClusterArgsBuilder.() -> Unit) {
val builder = ComputeClusterArgsBuilder()
block(builder)
this.args = builder.build()
}
/**
* @param block A bag of options that control this resource's behavior.
*/
public suspend fun opts(block: suspend CustomResourceOptionsBuilder.() -> Unit) {
this.opts = com.pulumi.kotlin.options.CustomResourceOptions.opts(block)
}
internal fun build(): ComputeCluster {
val builtJavaResource = com.pulumi.azure.machinelearning.ComputeCluster(
this.name,
this.args.toJava(),
this.opts.toJava(),
)
return ComputeCluster(builtJavaResource)
}
}
/**
* Manages a Machine Learning Compute Cluster.
* **NOTE:** At this point in time the resource cannot be updated (not supported by the backend Azure Go SDK). Therefore it can only be created and deleted, not updated. At the moment, there is also no possibility to specify ssh User Account Credentials to ssh into the compute cluster.
* ## Example Usage
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as azure from "@pulumi/azure";
* const current = azure.core.getClientConfig({});
* const example = new azure.core.ResourceGroup("example", {
* name: "example-rg",
* location: "west europe",
* tags: {
* stage: "example",
* },
* });
* const exampleInsights = new azure.appinsights.Insights("example", {
* name: "example-ai",
* location: example.location,
* resourceGroupName: example.name,
* applicationType: "web",
* });
* const exampleKeyVault = new azure.keyvault.KeyVault("example", {
* name: "example-kv",
* location: example.location,
* resourceGroupName: example.name,
* tenantId: current.then(current => current.tenantId),
* skuName: "standard",
* purgeProtectionEnabled: true,
* });
* const exampleAccount = new azure.storage.Account("example", {
* name: "examplesa",
* location: example.location,
* resourceGroupName: example.name,
* accountTier: "Standard",
* accountReplicationType: "LRS",
* });
* const exampleWorkspace = new azure.machinelearning.Workspace("example", {
* name: "example-mlw",
* location: example.location,
* resourceGroupName: example.name,
* applicationInsightsId: exampleInsights.id,
* keyVaultId: exampleKeyVault.id,
* storageAccountId: exampleAccount.id,
* identity: {
* type: "SystemAssigned",
* },
* });
* const exampleVirtualNetwork = new azure.network.VirtualNetwork("example", {
* name: "example-vnet",
* addressSpaces: ["10.1.0.0/16"],
* location: example.location,
* resourceGroupName: example.name,
* });
* const exampleSubnet = new azure.network.Subnet("example", {
* name: "example-subnet",
* resourceGroupName: example.name,
* virtualNetworkName: exampleVirtualNetwork.name,
* addressPrefixes: ["10.1.0.0/24"],
* });
* const test = new azure.machinelearning.ComputeCluster("test", {
* name: "example",
* location: example.location,
* vmPriority: "LowPriority",
* vmSize: "Standard_DS2_v2",
* machineLearningWorkspaceId: exampleWorkspace.id,
* subnetResourceId: exampleSubnet.id,
* scaleSettings: {
* minNodeCount: 0,
* maxNodeCount: 1,
* scaleDownNodesAfterIdleDuration: "PT30S",
* },
* identity: {
* type: "SystemAssigned",
* },
* });
* ```
* ```python
* import pulumi
* import pulumi_azure as azure
* current = azure.core.get_client_config()
* example = azure.core.ResourceGroup("example",
* name="example-rg",
* location="west europe",
* tags={
* "stage": "example",
* })
* example_insights = azure.appinsights.Insights("example",
* name="example-ai",
* location=example.location,
* resource_group_name=example.name,
* application_type="web")
* example_key_vault = azure.keyvault.KeyVault("example",
* name="example-kv",
* location=example.location,
* resource_group_name=example.name,
* tenant_id=current.tenant_id,
* sku_name="standard",
* purge_protection_enabled=True)
* example_account = azure.storage.Account("example",
* name="examplesa",
* location=example.location,
* resource_group_name=example.name,
* account_tier="Standard",
* account_replication_type="LRS")
* example_workspace = azure.machinelearning.Workspace("example",
* name="example-mlw",
* location=example.location,
* resource_group_name=example.name,
* application_insights_id=example_insights.id,
* key_vault_id=example_key_vault.id,
* storage_account_id=example_account.id,
* identity={
* "type": "SystemAssigned",
* })
* example_virtual_network = azure.network.VirtualNetwork("example",
* name="example-vnet",
* address_spaces=["10.1.0.0/16"],
* location=example.location,
* resource_group_name=example.name)
* example_subnet = azure.network.Subnet("example",
* name="example-subnet",
* resource_group_name=example.name,
* virtual_network_name=example_virtual_network.name,
* address_prefixes=["10.1.0.0/24"])
* test = azure.machinelearning.ComputeCluster("test",
* name="example",
* location=example.location,
* vm_priority="LowPriority",
* vm_size="Standard_DS2_v2",
* machine_learning_workspace_id=example_workspace.id,
* subnet_resource_id=example_subnet.id,
* scale_settings={
* "min_node_count": 0,
* "max_node_count": 1,
* "scale_down_nodes_after_idle_duration": "PT30S",
* },
* identity={
* "type": "SystemAssigned",
* })
* ```
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using Azure = Pulumi.Azure;
* return await Deployment.RunAsync(() =>
* {
* var current = Azure.Core.GetClientConfig.Invoke();
* var example = new Azure.Core.ResourceGroup("example", new()
* {
* Name = "example-rg",
* Location = "west europe",
* Tags =
* {
* { "stage", "example" },
* },
* });
* var exampleInsights = new Azure.AppInsights.Insights("example", new()
* {
* Name = "example-ai",
* Location = example.Location,
* ResourceGroupName = example.Name,
* ApplicationType = "web",
* });
* var exampleKeyVault = new Azure.KeyVault.KeyVault("example", new()
* {
* Name = "example-kv",
* Location = example.Location,
* ResourceGroupName = example.Name,
* TenantId = current.Apply(getClientConfigResult => getClientConfigResult.TenantId),
* SkuName = "standard",
* PurgeProtectionEnabled = true,
* });
* var exampleAccount = new Azure.Storage.Account("example", new()
* {
* Name = "examplesa",
* Location = example.Location,
* ResourceGroupName = example.Name,
* AccountTier = "Standard",
* AccountReplicationType = "LRS",
* });
* var exampleWorkspace = new Azure.MachineLearning.Workspace("example", new()
* {
* Name = "example-mlw",
* Location = example.Location,
* ResourceGroupName = example.Name,
* ApplicationInsightsId = exampleInsights.Id,
* KeyVaultId = exampleKeyVault.Id,
* StorageAccountId = exampleAccount.Id,
* Identity = new Azure.MachineLearning.Inputs.WorkspaceIdentityArgs
* {
* Type = "SystemAssigned",
* },
* });
* var exampleVirtualNetwork = new Azure.Network.VirtualNetwork("example", new()
* {
* Name = "example-vnet",
* AddressSpaces = new[]
* {
* "10.1.0.0/16",
* },
* Location = example.Location,
* ResourceGroupName = example.Name,
* });
* var exampleSubnet = new Azure.Network.Subnet("example", new()
* {
* Name = "example-subnet",
* ResourceGroupName = example.Name,
* VirtualNetworkName = exampleVirtualNetwork.Name,
* AddressPrefixes = new[]
* {
* "10.1.0.0/24",
* },
* });
* var test = new Azure.MachineLearning.ComputeCluster("test", new()
* {
* Name = "example",
* Location = example.Location,
* VmPriority = "LowPriority",
* VmSize = "Standard_DS2_v2",
* MachineLearningWorkspaceId = exampleWorkspace.Id,
* SubnetResourceId = exampleSubnet.Id,
* ScaleSettings = new Azure.MachineLearning.Inputs.ComputeClusterScaleSettingsArgs
* {
* MinNodeCount = 0,
* MaxNodeCount = 1,
* ScaleDownNodesAfterIdleDuration = "PT30S",
* },
* Identity = new Azure.MachineLearning.Inputs.ComputeClusterIdentityArgs
* {
* Type = "SystemAssigned",
* },
* });
* });
* ```
* ```go
* package main
* import (
* "github.com/pulumi/pulumi-azure/sdk/v5/go/azure/appinsights"
* "github.com/pulumi/pulumi-azure/sdk/v5/go/azure/core"
* "github.com/pulumi/pulumi-azure/sdk/v5/go/azure/keyvault"
* "github.com/pulumi/pulumi-azure/sdk/v5/go/azure/machinelearning"
* "github.com/pulumi/pulumi-azure/sdk/v5/go/azure/network"
* "github.com/pulumi/pulumi-azure/sdk/v5/go/azure/storage"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* current, err := core.GetClientConfig(ctx, nil, nil)
* if err != nil {
* return err
* }
* example, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
* Name: pulumi.String("example-rg"),
* Location: pulumi.String("west europe"),
* Tags: pulumi.StringMap{
* "stage": pulumi.String("example"),
* },
* })
* if err != nil {
* return err
* }
* exampleInsights, err := appinsights.NewInsights(ctx, "example", &appinsights.InsightsArgs{
* Name: pulumi.String("example-ai"),
* Location: example.Location,
* ResourceGroupName: example.Name,
* ApplicationType: pulumi.String("web"),
* })
* if err != nil {
* return err
* }
* exampleKeyVault, err := keyvault.NewKeyVault(ctx, "example", &keyvault.KeyVaultArgs{
* Name: pulumi.String("example-kv"),
* Location: example.Location,
* ResourceGroupName: example.Name,
* TenantId: pulumi.String(current.TenantId),
* SkuName: pulumi.String("standard"),
* PurgeProtectionEnabled: pulumi.Bool(true),
* })
* if err != nil {
* return err
* }
* exampleAccount, err := storage.NewAccount(ctx, "example", &storage.AccountArgs{
* Name: pulumi.String("examplesa"),
* Location: example.Location,
* ResourceGroupName: example.Name,
* AccountTier: pulumi.String("Standard"),
* AccountReplicationType: pulumi.String("LRS"),
* })
* if err != nil {
* return err
* }
* exampleWorkspace, err := machinelearning.NewWorkspace(ctx, "example", &machinelearning.WorkspaceArgs{
* Name: pulumi.String("example-mlw"),
* Location: example.Location,
* ResourceGroupName: example.Name,
* ApplicationInsightsId: exampleInsights.ID(),
* KeyVaultId: exampleKeyVault.ID(),
* StorageAccountId: exampleAccount.ID(),
* Identity: &machinelearning.WorkspaceIdentityArgs{
* Type: pulumi.String("SystemAssigned"),
* },
* })
* if err != nil {
* return err
* }
* exampleVirtualNetwork, err := network.NewVirtualNetwork(ctx, "example", &network.VirtualNetworkArgs{
* Name: pulumi.String("example-vnet"),
* AddressSpaces: pulumi.StringArray{
* pulumi.String("10.1.0.0/16"),
* },
* Location: example.Location,
* ResourceGroupName: example.Name,
* })
* if err != nil {
* return err
* }
* exampleSubnet, err := network.NewSubnet(ctx, "example", &network.SubnetArgs{
* Name: pulumi.String("example-subnet"),
* ResourceGroupName: example.Name,
* VirtualNetworkName: exampleVirtualNetwork.Name,
* AddressPrefixes: pulumi.StringArray{
* pulumi.String("10.1.0.0/24"),
* },
* })
* if err != nil {
* return err
* }
* _, err = machinelearning.NewComputeCluster(ctx, "test", &machinelearning.ComputeClusterArgs{
* Name: pulumi.String("example"),
* Location: example.Location,
* VmPriority: pulumi.String("LowPriority"),
* VmSize: pulumi.String("Standard_DS2_v2"),
* MachineLearningWorkspaceId: exampleWorkspace.ID(),
* SubnetResourceId: exampleSubnet.ID(),
* ScaleSettings: &machinelearning.ComputeClusterScaleSettingsArgs{
* MinNodeCount: pulumi.Int(0),
* MaxNodeCount: pulumi.Int(1),
* ScaleDownNodesAfterIdleDuration: pulumi.String("PT30S"),
* },
* Identity: &machinelearning.ComputeClusterIdentityArgs{
* Type: pulumi.String("SystemAssigned"),
* },
* })
* 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.azure.core.CoreFunctions;
* import com.pulumi.azure.core.ResourceGroup;
* import com.pulumi.azure.core.ResourceGroupArgs;
* import com.pulumi.azure.appinsights.Insights;
* import com.pulumi.azure.appinsights.InsightsArgs;
* import com.pulumi.azure.keyvault.KeyVault;
* import com.pulumi.azure.keyvault.KeyVaultArgs;
* import com.pulumi.azure.storage.Account;
* import com.pulumi.azure.storage.AccountArgs;
* import com.pulumi.azure.machinelearning.Workspace;
* import com.pulumi.azure.machinelearning.WorkspaceArgs;
* import com.pulumi.azure.machinelearning.inputs.WorkspaceIdentityArgs;
* import com.pulumi.azure.network.VirtualNetwork;
* import com.pulumi.azure.network.VirtualNetworkArgs;
* import com.pulumi.azure.network.Subnet;
* import com.pulumi.azure.network.SubnetArgs;
* import com.pulumi.azure.machinelearning.ComputeCluster;
* import com.pulumi.azure.machinelearning.ComputeClusterArgs;
* import com.pulumi.azure.machinelearning.inputs.ComputeClusterScaleSettingsArgs;
* import com.pulumi.azure.machinelearning.inputs.ComputeClusterIdentityArgs;
* 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) {
* final var current = CoreFunctions.getClientConfig();
* var example = new ResourceGroup("example", ResourceGroupArgs.builder()
* .name("example-rg")
* .location("west europe")
* .tags(Map.of("stage", "example"))
* .build());
* var exampleInsights = new Insights("exampleInsights", InsightsArgs.builder()
* .name("example-ai")
* .location(example.location())
* .resourceGroupName(example.name())
* .applicationType("web")
* .build());
* var exampleKeyVault = new KeyVault("exampleKeyVault", KeyVaultArgs.builder()
* .name("example-kv")
* .location(example.location())
* .resourceGroupName(example.name())
* .tenantId(current.applyValue(getClientConfigResult -> getClientConfigResult.tenantId()))
* .skuName("standard")
* .purgeProtectionEnabled(true)
* .build());
* var exampleAccount = new Account("exampleAccount", AccountArgs.builder()
* .name("examplesa")
* .location(example.location())
* .resourceGroupName(example.name())
* .accountTier("Standard")
* .accountReplicationType("LRS")
* .build());
* var exampleWorkspace = new Workspace("exampleWorkspace", WorkspaceArgs.builder()
* .name("example-mlw")
* .location(example.location())
* .resourceGroupName(example.name())
* .applicationInsightsId(exampleInsights.id())
* .keyVaultId(exampleKeyVault.id())
* .storageAccountId(exampleAccount.id())
* .identity(WorkspaceIdentityArgs.builder()
* .type("SystemAssigned")
* .build())
* .build());
* var exampleVirtualNetwork = new VirtualNetwork("exampleVirtualNetwork", VirtualNetworkArgs.builder()
* .name("example-vnet")
* .addressSpaces("10.1.0.0/16")
* .location(example.location())
* .resourceGroupName(example.name())
* .build());
* var exampleSubnet = new Subnet("exampleSubnet", SubnetArgs.builder()
* .name("example-subnet")
* .resourceGroupName(example.name())
* .virtualNetworkName(exampleVirtualNetwork.name())
* .addressPrefixes("10.1.0.0/24")
* .build());
* var test = new ComputeCluster("test", ComputeClusterArgs.builder()
* .name("example")
* .location(example.location())
* .vmPriority("LowPriority")
* .vmSize("Standard_DS2_v2")
* .machineLearningWorkspaceId(exampleWorkspace.id())
* .subnetResourceId(exampleSubnet.id())
* .scaleSettings(ComputeClusterScaleSettingsArgs.builder()
* .minNodeCount(0)
* .maxNodeCount(1)
* .scaleDownNodesAfterIdleDuration("PT30S")
* .build())
* .identity(ComputeClusterIdentityArgs.builder()
* .type("SystemAssigned")
* .build())
* .build());
* }
* }
* ```
* ```yaml
* resources:
* example:
* type: azure:core:ResourceGroup
* properties:
* name: example-rg
* location: west europe
* tags:
* stage: example
* exampleInsights:
* type: azure:appinsights:Insights
* name: example
* properties:
* name: example-ai
* location: ${example.location}
* resourceGroupName: ${example.name}
* applicationType: web
* exampleKeyVault:
* type: azure:keyvault:KeyVault
* name: example
* properties:
* name: example-kv
* location: ${example.location}
* resourceGroupName: ${example.name}
* tenantId: ${current.tenantId}
* skuName: standard
* purgeProtectionEnabled: true
* exampleAccount:
* type: azure:storage:Account
* name: example
* properties:
* name: examplesa
* location: ${example.location}
* resourceGroupName: ${example.name}
* accountTier: Standard
* accountReplicationType: LRS
* exampleWorkspace:
* type: azure:machinelearning:Workspace
* name: example
* properties:
* name: example-mlw
* location: ${example.location}
* resourceGroupName: ${example.name}
* applicationInsightsId: ${exampleInsights.id}
* keyVaultId: ${exampleKeyVault.id}
* storageAccountId: ${exampleAccount.id}
* identity:
* type: SystemAssigned
* exampleVirtualNetwork:
* type: azure:network:VirtualNetwork
* name: example
* properties:
* name: example-vnet
* addressSpaces:
* - 10.1.0.0/16
* location: ${example.location}
* resourceGroupName: ${example.name}
* exampleSubnet:
* type: azure:network:Subnet
* name: example
* properties:
* name: example-subnet
* resourceGroupName: ${example.name}
* virtualNetworkName: ${exampleVirtualNetwork.name}
* addressPrefixes:
* - 10.1.0.0/24
* test:
* type: azure:machinelearning:ComputeCluster
* properties:
* name: example
* location: ${example.location}
* vmPriority: LowPriority
* vmSize: Standard_DS2_v2
* machineLearningWorkspaceId: ${exampleWorkspace.id}
* subnetResourceId: ${exampleSubnet.id}
* scaleSettings:
* minNodeCount: 0
* maxNodeCount: 1
* scaleDownNodesAfterIdleDuration: PT30S
* identity:
* type: SystemAssigned
* variables:
* current:
* fn::invoke:
* Function: azure:core:getClientConfig
* Arguments: {}
* ```
*
* ## Import
* Machine Learning Compute Clusters can be imported using the `resource id`, e.g.
* ```sh
* $ pulumi import azure:machinelearning/computeCluster:ComputeCluster example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resGroup1/providers/Microsoft.MachineLearningServices/workspaces/workspace1/computes/cluster1
* ```
*/
public class ComputeCluster internal constructor(
override val javaResource: com.pulumi.azure.machinelearning.ComputeCluster,
) : KotlinCustomResource(javaResource, ComputeClusterMapper) {
/**
* The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val description: Output?
get() = javaResource.description().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* An `identity` block as defined below.
*/
public val identity: Output?
get() = javaResource.identity().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
computeClusterIdentityToKotlin(args0)
})
}).orElse(null)
})
/**
* Whether local authentication methods is enabled. Defaults to `true`. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val localAuthEnabled: Output?
get() = javaResource.localAuthEnabled().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val location: Output
get() = javaResource.location().applyValue({ args0 -> args0 })
/**
* The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val machineLearningWorkspaceId: Output
get() = javaResource.machineLearningWorkspaceId().applyValue({ args0 -> args0 })
/**
* The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val name: Output
get() = javaResource.name().applyValue({ args0 -> args0 })
/**
* Whether the compute cluster will have a public ip. To set this to false a `subnet_resource_id` needs to be set. Defaults to `true`. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val nodePublicIpEnabled: Output?
get() = javaResource.nodePublicIpEnabled().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* A `scale_settings` block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val scaleSettings: Output
get() = javaResource.scaleSettings().applyValue({ args0 ->
args0.let({ args0 ->
computeClusterScaleSettingsToKotlin(args0)
})
})
/**
* Credentials for an administrator user account that will be created on each compute node. A `ssh` block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val ssh: Output?
get() = javaResource.ssh().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
computeClusterSshToKotlin(args0)
})
}).orElse(null)
})
/**
* A boolean value indicating whether enable the public SSH port. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val sshPublicAccessEnabled: Output
get() = javaResource.sshPublicAccessEnabled().applyValue({ args0 -> args0 })
/**
* The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val subnetResourceId: Output?
get() = javaResource.subnetResourceId().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val tags: Output>?
get() = javaResource.tags().applyValue({ args0 ->
args0.map({ args0 ->
args0.map({ args0 ->
args0.key.to(args0.value)
}).toMap()
}).orElse(null)
})
/**
* The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are `Dedicated` and `LowPriority`.
*/
public val vmPriority: Output
get() = javaResource.vmPriority().applyValue({ args0 -> args0 })
/**
* The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.
*/
public val vmSize: Output
get() = javaResource.vmSize().applyValue({ args0 -> args0 })
}
public object ComputeClusterMapper : ResourceMapper {
override fun supportsMappingOfType(javaResource: Resource): Boolean =
com.pulumi.azure.machinelearning.ComputeCluster::class == javaResource::class
override fun map(javaResource: Resource): ComputeCluster = ComputeCluster(
javaResource as
com.pulumi.azure.machinelearning.ComputeCluster,
)
}
/**
* @see [ComputeCluster].
* @param name The _unique_ name of the resulting resource.
* @param block Builder for [ComputeCluster].
*/
public suspend fun computeCluster(
name: String,
block: suspend ComputeClusterResourceBuilder.() -> Unit,
): ComputeCluster {
val builder = ComputeClusterResourceBuilder()
builder.name(name)
block(builder)
return builder.build()
}
/**
* @see [ComputeCluster].
* @param name The _unique_ name of the resulting resource.
*/
public fun computeCluster(name: String): ComputeCluster {
val builder = ComputeClusterResourceBuilder()
builder.name(name)
return builder.build()
}
