pulumi-azure-native-kotlin/com.pulumi.azurenative.machinelearningservices.kotlin/Job

Job

class Job : KotlinCustomResource

Azure Resource Manager resource envelope. API Version: 2021-03-01-preview.

Example Usage

CreateOrUpdate Command Job.

using System.Collections.Generic;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var job = new AzureNative.MachineLearningServices.Job("job", new()
    {
        Id = "testJob",
        Properties = new AzureNative.MachineLearningServices.Inputs.CommandJobArgs
        {
            CodeId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/mycode/versions/1",
            Command = "python file.py test",
            Compute = new AzureNative.MachineLearningServices.Inputs.ComputeConfigurationArgs
            {
                InstanceCount = 1,
                Target = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/mycompute",
            },
            Description = "string",
            Distribution = new AzureNative.MachineLearningServices.Inputs.PyTorchArgs
            {
                DistributionType = "PyTorch",
                ProcessCount = 2,
            },
            EnvironmentId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/AzureML-Tutorial/versions/1",
            EnvironmentVariables =
            {
                { "MY_ENV_VAR1", "string" },
                { "MY_ENV_VAR2", "string" },
            },
            ExperimentName = "myExperiment",
            Identity = new AzureNative.MachineLearningServices.Inputs.AmlTokenArgs
            {
                IdentityType = "AMLToken",
            },
            InputDataBindings =
            {
                { "test", new AzureNative.MachineLearningServices.Inputs.InputDataBindingArgs
                {
                    DataId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/data/mydataset/versions/1",
                    PathOnCompute = "path/on/compute",
                } },
            },
            JobType = "Command",
            OutputDataBindings =
            {
                { "test", new AzureNative.MachineLearningServices.Inputs.OutputDataBindingArgs
                {
                    DatastoreId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/datastore/mydatastore",
                    PathOnCompute = "path/on/compute",
                } },
            },
            Properties =
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            Tags =
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            Timeout = "PT1M",
        },
        ResourceGroupName = "testrg123",
        WorkspaceName = "testworkspace",
    });
});
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.Job;
import com.pulumi.azurenative.machinelearningservices.JobArgs;
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 job = new Job("job", JobArgs.builder()
            .id("testJob")
            .properties(Map.ofEntries(
                Map.entry("codeId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/mycode/versions/1"),
                Map.entry("command", "python file.py test"),
                Map.entry("compute", Map.ofEntries(
                    Map.entry("instanceCount", 1),
                    Map.entry("target", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/mycompute")
                )),
                Map.entry("description", "string"),
                Map.entry("distribution", Map.ofEntries(
                    Map.entry("distributionType", "PyTorch"),
                    Map.entry("processCount", 2)
                )),
                Map.entry("environmentId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/AzureML-Tutorial/versions/1"),
                Map.entry("environmentVariables", CommandJobArgs.builder()
                    .mY_ENV_VAR1("string")
                    .mY_ENV_VAR2("string")
                    .build()),
                Map.entry("experimentName", "myExperiment"),
                Map.entry("identity", Map.of("identityType", "AMLToken")),
                Map.entry("inputDataBindings", Map.of("test", Map.ofEntries(
                    Map.entry("dataId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/data/mydataset/versions/1"),
                    Map.entry("pathOnCompute", "path/on/compute")
                ))),
                Map.entry("jobType", "Command"),
                Map.entry("outputDataBindings", Map.of("test", Map.ofEntries(
                    Map.entry("datastoreId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/datastore/mydatastore"),
                    Map.entry("pathOnCompute", "path/on/compute")
                ))),
                Map.entry("properties", CommandJobArgs.builder()
                    .additionalProp1("string")
                    .additionalProp2("string")
                    .additionalProp3("string")
                    .build()),
                Map.entry("tags", CommandJobArgs.builder()
                    .additionalProp1("string")
                    .additionalProp2("string")
                    .additionalProp3("string")
                    .build()),
                Map.entry("timeout", "PT1M")
            ))
            .resourceGroupName("testrg123")
            .workspaceName("testworkspace")
            .build());
    }
}
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CreateOrUpdate Sweep Job.

using System.Collections.Generic;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var job = new AzureNative.MachineLearningServices.Job("job", new()
    {
        Id = "testJob",
        Properties = new AzureNative.MachineLearningServices.Inputs.SweepJobArgs
        {
            Algorithm = "Grid",
            Compute = new AzureNative.MachineLearningServices.Inputs.ComputeConfigurationArgs
            {
                InstanceCount = 1,
                Target = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/mycompute",
            },
            Description = "string",
            Identity = new AzureNative.MachineLearningServices.Inputs.AmlTokenArgs
            {
                IdentityType = "AMLToken",
            },
            JobType = "Sweep",
            MaxConcurrentTrials = 1,
            MaxTotalTrials = 1,
            Objective = new AzureNative.MachineLearningServices.Inputs.ObjectiveArgs
            {
                Goal = "Minimize",
                PrimaryMetric = "string",
            },
            Properties =
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            SearchSpace =
            {
                { "name", null },
            },
            Tags =
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            Timeout = "PT1M",
            Trial = new AzureNative.MachineLearningServices.Inputs.TrialComponentArgs
            {
                CodeId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/mycode/versions/1",
                Command = "python file.py test",
                Distribution = new AzureNative.MachineLearningServices.Inputs.PyTorchArgs
                {
                    DistributionType = "PyTorch",
                    ProcessCount = 2,
                },
                EnvironmentId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/AzureML-Tutorial/versions/1",
                EnvironmentVariables =
                {
                    { "MY_ENV_VAR1", "string" },
                    { "MY_ENV_VAR2", "string" },
                },
                InputDataBindings =
                {
                    { "test", new AzureNative.MachineLearningServices.Inputs.InputDataBindingArgs
                    {
                        DataId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/data/mydataset/versions/1",
                        PathOnCompute = "path/on/compute",
                    } },
                },
                OutputDataBindings =
                {
                    { "test", new AzureNative.MachineLearningServices.Inputs.OutputDataBindingArgs
                    {
                        DatastoreId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/datastore/mydatastore",
                        PathOnCompute = "path/on/compute",
                    } },
                },
                Timeout = "PT1M",
            },
        },
        ResourceGroupName = "testrg123",
        WorkspaceName = "testworkspace",
    });
});
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.Job;
import com.pulumi.azurenative.machinelearningservices.JobArgs;
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 job = new Job("job", JobArgs.builder()
            .id("testJob")
            .properties(Map.ofEntries(
                Map.entry("algorithm", "Grid"),
                Map.entry("compute", Map.ofEntries(
                    Map.entry("instanceCount", 1),
                    Map.entry("target", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/computes/mycompute")
                )),
                Map.entry("description", "string"),
                Map.entry("identity", Map.of("identityType", "AMLToken")),
                Map.entry("jobType", "Sweep"),
                Map.entry("maxConcurrentTrials", 1),
                Map.entry("maxTotalTrials", 1),
                Map.entry("objective", Map.ofEntries(
                    Map.entry("goal", "Minimize"),
                    Map.entry("primaryMetric", "string")
                )),
                Map.entry("properties", CommandJobArgs.builder()
                    .additionalProp1("string")
                    .additionalProp2("string")
                    .additionalProp3("string")
                    .build()),
                Map.entry("searchSpace", CommandJobArgs.builder()
                    .name()
                    .build()),
                Map.entry("tags", CommandJobArgs.builder()
                    .additionalProp1("string")
                    .additionalProp2("string")
                    .additionalProp3("string")
                    .build()),
                Map.entry("timeout", "PT1M"),
                Map.entry("trial", Map.ofEntries(
                    Map.entry("codeId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/mycode/versions/1"),
                    Map.entry("command", "python file.py test"),
                    Map.entry("distribution", Map.ofEntries(
                        Map.entry("distributionType", "PyTorch"),
                        Map.entry("processCount", 2)
                    )),
                    Map.entry("environmentId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/AzureML-Tutorial/versions/1"),
                    Map.entry("environmentVariables", CommandJobArgs.builder()
                        .mY_ENV_VAR1("string")
                        .mY_ENV_VAR2("string")
                        .build()),
                    Map.entry("inputDataBindings", Map.of("test", Map.ofEntries(
                        Map.entry("dataId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/data/mydataset/versions/1"),
                        Map.entry("pathOnCompute", "path/on/compute")
                    ))),
                    Map.entry("outputDataBindings", Map.of("test", Map.ofEntries(
                        Map.entry("datastoreId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/datastore/mydatastore"),
                        Map.entry("pathOnCompute", "path/on/compute")
                    ))),
                    Map.entry("timeout", "PT1M")
                ))
            ))
            .resourceGroupName("testrg123")
            .workspaceName("testworkspace")
            .build());
    }
}
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Import

An existing resource can be imported using its type token, name, and identifier, e.g.

$ pulumi import azure-native:machinelearningservices:Job string string
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Properties

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val id: Output<String>
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val name: Output<String>

The name of the resource

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val properties: Output<Either<CommandJobResponse, SweepJobResponse>>

Required Additional attributes of the entity.

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val systemData: Output<SystemDataResponse>

System data associated with resource provider

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val type: Output<String>

The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

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val urn: Output<String>