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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.aiplatform/v1.NasJob

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

Creates a NasJob Auto-naming is currently not supported for this resource.

Create NasJob Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new NasJob(name: string, args: NasJobArgs, opts?: CustomResourceOptions);
@overload
def NasJob(resource_name: str,
           args: NasJobArgs,
           opts: Optional[ResourceOptions] = None)

@overload
def NasJob(resource_name: str,
           opts: Optional[ResourceOptions] = None,
           display_name: Optional[str] = None,
           nas_job_spec: Optional[GoogleCloudAiplatformV1NasJobSpecArgs] = None,
           enable_restricted_image_training: Optional[bool] = None,
           encryption_spec: Optional[GoogleCloudAiplatformV1EncryptionSpecArgs] = None,
           labels: Optional[Mapping[str, str]] = None,
           location: Optional[str] = None,
           project: Optional[str] = None)
func NewNasJob(ctx *Context, name string, args NasJobArgs, opts ...ResourceOption) (*NasJob, error)
public NasJob(string name, NasJobArgs args, CustomResourceOptions? opts = null)
public NasJob(String name, NasJobArgs args)
public NasJob(String name, NasJobArgs args, CustomResourceOptions options)

type: google-native:aiplatform/v1:NasJob
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name This property is required. string
The unique name of the resource.
args This property is required. NasJobArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name This property is required. str
The unique name of the resource.
args This property is required. NasJobArgs
The arguments to resource properties.
opts ResourceOptions
Bag of options to control resource's behavior.
ctx Context
Context object for the current deployment.
name This property is required. string
The unique name of the resource.
args This property is required. NasJobArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name This property is required. string
The unique name of the resource.
args This property is required. NasJobArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name This property is required. String
The unique name of the resource.
args This property is required. NasJobArgs
The arguments to resource properties.
options CustomResourceOptions
Bag of options to control resource's behavior.

Constructor example

The following reference example uses placeholder values for all input properties.

var nasJobResource = new GoogleNative.Aiplatform.V1.NasJob("nasJobResource", new()
{
    DisplayName = "string",
    NasJobSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecArgs
    {
        MultiTrialAlgorithmSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecArgs
        {
            SearchTrialSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpecArgs
            {
                MaxParallelTrialCount = 0,
                MaxTrialCount = 0,
                SearchTrialJobSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1CustomJobSpecArgs
                {
                    WorkerPoolSpecs = new[]
                    {
                        new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1WorkerPoolSpecArgs
                        {
                            ContainerSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1ContainerSpecArgs
                            {
                                ImageUri = "string",
                                Args = new[]
                                {
                                    "string",
                                },
                                Command = new[]
                                {
                                    "string",
                                },
                                Env = new[]
                                {
                                    new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1EnvVarArgs
                                    {
                                        Name = "string",
                                        Value = "string",
                                    },
                                },
                            },
                            DiskSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1DiskSpecArgs
                            {
                                BootDiskSizeGb = 0,
                                BootDiskType = "string",
                            },
                            MachineSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1MachineSpecArgs
                            {
                                AcceleratorCount = 0,
                                AcceleratorType = GoogleNative.Aiplatform.V1.GoogleCloudAiplatformV1MachineSpecAcceleratorType.AcceleratorTypeUnspecified,
                                MachineType = "string",
                                TpuTopology = "string",
                            },
                            NfsMounts = new[]
                            {
                                new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NfsMountArgs
                                {
                                    MountPoint = "string",
                                    Path = "string",
                                    Server = "string",
                                },
                            },
                            PythonPackageSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1PythonPackageSpecArgs
                            {
                                ExecutorImageUri = "string",
                                PackageUris = new[]
                                {
                                    "string",
                                },
                                PythonModule = "string",
                                Args = new[]
                                {
                                    "string",
                                },
                                Env = new[]
                                {
                                    new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1EnvVarArgs
                                    {
                                        Name = "string",
                                        Value = "string",
                                    },
                                },
                            },
                            ReplicaCount = "string",
                        },
                    },
                    BaseOutputDirectory = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1GcsDestinationArgs
                    {
                        OutputUriPrefix = "string",
                    },
                    EnableDashboardAccess = false,
                    EnableWebAccess = false,
                    Experiment = "string",
                    ExperimentRun = "string",
                    Network = "string",
                    ProtectedArtifactLocationId = "string",
                    ReservedIpRanges = new[]
                    {
                        "string",
                    },
                    Scheduling = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1SchedulingArgs
                    {
                        DisableRetries = false,
                        RestartJobOnWorkerRestart = false,
                        Timeout = "string",
                    },
                    ServiceAccount = "string",
                    Tensorboard = "string",
                },
                MaxFailedTrialCount = 0,
            },
            Metric = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecArgs
            {
                Goal = GoogleNative.Aiplatform.V1.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoal.GoalTypeUnspecified,
                MetricId = "string",
            },
            MultiTrialAlgorithm = GoogleNative.Aiplatform.V1.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithm.MultiTrialAlgorithmUnspecified,
            TrainTrialSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpecArgs
            {
                Frequency = 0,
                MaxParallelTrialCount = 0,
                TrainTrialJobSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1CustomJobSpecArgs
                {
                    WorkerPoolSpecs = new[]
                    {
                        new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1WorkerPoolSpecArgs
                        {
                            ContainerSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1ContainerSpecArgs
                            {
                                ImageUri = "string",
                                Args = new[]
                                {
                                    "string",
                                },
                                Command = new[]
                                {
                                    "string",
                                },
                                Env = new[]
                                {
                                    new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1EnvVarArgs
                                    {
                                        Name = "string",
                                        Value = "string",
                                    },
                                },
                            },
                            DiskSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1DiskSpecArgs
                            {
                                BootDiskSizeGb = 0,
                                BootDiskType = "string",
                            },
                            MachineSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1MachineSpecArgs
                            {
                                AcceleratorCount = 0,
                                AcceleratorType = GoogleNative.Aiplatform.V1.GoogleCloudAiplatformV1MachineSpecAcceleratorType.AcceleratorTypeUnspecified,
                                MachineType = "string",
                                TpuTopology = "string",
                            },
                            NfsMounts = new[]
                            {
                                new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NfsMountArgs
                                {
                                    MountPoint = "string",
                                    Path = "string",
                                    Server = "string",
                                },
                            },
                            PythonPackageSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1PythonPackageSpecArgs
                            {
                                ExecutorImageUri = "string",
                                PackageUris = new[]
                                {
                                    "string",
                                },
                                PythonModule = "string",
                                Args = new[]
                                {
                                    "string",
                                },
                                Env = new[]
                                {
                                    new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1EnvVarArgs
                                    {
                                        Name = "string",
                                        Value = "string",
                                    },
                                },
                            },
                            ReplicaCount = "string",
                        },
                    },
                    BaseOutputDirectory = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1GcsDestinationArgs
                    {
                        OutputUriPrefix = "string",
                    },
                    EnableDashboardAccess = false,
                    EnableWebAccess = false,
                    Experiment = "string",
                    ExperimentRun = "string",
                    Network = "string",
                    ProtectedArtifactLocationId = "string",
                    ReservedIpRanges = new[]
                    {
                        "string",
                    },
                    Scheduling = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1SchedulingArgs
                    {
                        DisableRetries = false,
                        RestartJobOnWorkerRestart = false,
                        Timeout = "string",
                    },
                    ServiceAccount = "string",
                    Tensorboard = "string",
                },
            },
        },
        ResumeNasJobId = "string",
        SearchSpaceSpec = "string",
    },
    EnableRestrictedImageTraining = false,
    EncryptionSpec = new GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1EncryptionSpecArgs
    {
        KmsKeyName = "string",
    },
    Labels = 
    {
        { "string", "string" },
    },
    Location = "string",
    Project = "string",
});
Copy
example, err := aiplatform.NewNasJob(ctx, "nasJobResource", &aiplatform.NasJobArgs{
	DisplayName: pulumi.String("string"),
	NasJobSpec: &aiplatform.GoogleCloudAiplatformV1NasJobSpecArgs{
		MultiTrialAlgorithmSpec: &aiplatform.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecArgs{
			SearchTrialSpec: &aiplatform.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpecArgs{
				MaxParallelTrialCount: pulumi.Int(0),
				MaxTrialCount:         pulumi.Int(0),
				SearchTrialJobSpec: &aiplatform.GoogleCloudAiplatformV1CustomJobSpecArgs{
					WorkerPoolSpecs: aiplatform.GoogleCloudAiplatformV1WorkerPoolSpecArray{
						&aiplatform.GoogleCloudAiplatformV1WorkerPoolSpecArgs{
							ContainerSpec: &aiplatform.GoogleCloudAiplatformV1ContainerSpecArgs{
								ImageUri: pulumi.String("string"),
								Args: pulumi.StringArray{
									pulumi.String("string"),
								},
								Command: pulumi.StringArray{
									pulumi.String("string"),
								},
								Env: aiplatform.GoogleCloudAiplatformV1EnvVarArray{
									&aiplatform.GoogleCloudAiplatformV1EnvVarArgs{
										Name:  pulumi.String("string"),
										Value: pulumi.String("string"),
									},
								},
							},
							DiskSpec: &aiplatform.GoogleCloudAiplatformV1DiskSpecArgs{
								BootDiskSizeGb: pulumi.Int(0),
								BootDiskType:   pulumi.String("string"),
							},
							MachineSpec: &aiplatform.GoogleCloudAiplatformV1MachineSpecArgs{
								AcceleratorCount: pulumi.Int(0),
								AcceleratorType:  aiplatform.GoogleCloudAiplatformV1MachineSpecAcceleratorTypeAcceleratorTypeUnspecified,
								MachineType:      pulumi.String("string"),
								TpuTopology:      pulumi.String("string"),
							},
							NfsMounts: aiplatform.GoogleCloudAiplatformV1NfsMountArray{
								&aiplatform.GoogleCloudAiplatformV1NfsMountArgs{
									MountPoint: pulumi.String("string"),
									Path:       pulumi.String("string"),
									Server:     pulumi.String("string"),
								},
							},
							PythonPackageSpec: &aiplatform.GoogleCloudAiplatformV1PythonPackageSpecArgs{
								ExecutorImageUri: pulumi.String("string"),
								PackageUris: pulumi.StringArray{
									pulumi.String("string"),
								},
								PythonModule: pulumi.String("string"),
								Args: pulumi.StringArray{
									pulumi.String("string"),
								},
								Env: aiplatform.GoogleCloudAiplatformV1EnvVarArray{
									&aiplatform.GoogleCloudAiplatformV1EnvVarArgs{
										Name:  pulumi.String("string"),
										Value: pulumi.String("string"),
									},
								},
							},
							ReplicaCount: pulumi.String("string"),
						},
					},
					BaseOutputDirectory: &aiplatform.GoogleCloudAiplatformV1GcsDestinationArgs{
						OutputUriPrefix: pulumi.String("string"),
					},
					EnableDashboardAccess:       pulumi.Bool(false),
					EnableWebAccess:             pulumi.Bool(false),
					Experiment:                  pulumi.String("string"),
					ExperimentRun:               pulumi.String("string"),
					Network:                     pulumi.String("string"),
					ProtectedArtifactLocationId: pulumi.String("string"),
					ReservedIpRanges: pulumi.StringArray{
						pulumi.String("string"),
					},
					Scheduling: &aiplatform.GoogleCloudAiplatformV1SchedulingArgs{
						DisableRetries:            pulumi.Bool(false),
						RestartJobOnWorkerRestart: pulumi.Bool(false),
						Timeout:                   pulumi.String("string"),
					},
					ServiceAccount: pulumi.String("string"),
					Tensorboard:    pulumi.String("string"),
				},
				MaxFailedTrialCount: pulumi.Int(0),
			},
			Metric: &aiplatform.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecArgs{
				Goal:     aiplatform.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoalGoalTypeUnspecified,
				MetricId: pulumi.String("string"),
			},
			MultiTrialAlgorithm: aiplatform.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithmMultiTrialAlgorithmUnspecified,
			TrainTrialSpec: &aiplatform.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpecArgs{
				Frequency:             pulumi.Int(0),
				MaxParallelTrialCount: pulumi.Int(0),
				TrainTrialJobSpec: &aiplatform.GoogleCloudAiplatformV1CustomJobSpecArgs{
					WorkerPoolSpecs: aiplatform.GoogleCloudAiplatformV1WorkerPoolSpecArray{
						&aiplatform.GoogleCloudAiplatformV1WorkerPoolSpecArgs{
							ContainerSpec: &aiplatform.GoogleCloudAiplatformV1ContainerSpecArgs{
								ImageUri: pulumi.String("string"),
								Args: pulumi.StringArray{
									pulumi.String("string"),
								},
								Command: pulumi.StringArray{
									pulumi.String("string"),
								},
								Env: aiplatform.GoogleCloudAiplatformV1EnvVarArray{
									&aiplatform.GoogleCloudAiplatformV1EnvVarArgs{
										Name:  pulumi.String("string"),
										Value: pulumi.String("string"),
									},
								},
							},
							DiskSpec: &aiplatform.GoogleCloudAiplatformV1DiskSpecArgs{
								BootDiskSizeGb: pulumi.Int(0),
								BootDiskType:   pulumi.String("string"),
							},
							MachineSpec: &aiplatform.GoogleCloudAiplatformV1MachineSpecArgs{
								AcceleratorCount: pulumi.Int(0),
								AcceleratorType:  aiplatform.GoogleCloudAiplatformV1MachineSpecAcceleratorTypeAcceleratorTypeUnspecified,
								MachineType:      pulumi.String("string"),
								TpuTopology:      pulumi.String("string"),
							},
							NfsMounts: aiplatform.GoogleCloudAiplatformV1NfsMountArray{
								&aiplatform.GoogleCloudAiplatformV1NfsMountArgs{
									MountPoint: pulumi.String("string"),
									Path:       pulumi.String("string"),
									Server:     pulumi.String("string"),
								},
							},
							PythonPackageSpec: &aiplatform.GoogleCloudAiplatformV1PythonPackageSpecArgs{
								ExecutorImageUri: pulumi.String("string"),
								PackageUris: pulumi.StringArray{
									pulumi.String("string"),
								},
								PythonModule: pulumi.String("string"),
								Args: pulumi.StringArray{
									pulumi.String("string"),
								},
								Env: aiplatform.GoogleCloudAiplatformV1EnvVarArray{
									&aiplatform.GoogleCloudAiplatformV1EnvVarArgs{
										Name:  pulumi.String("string"),
										Value: pulumi.String("string"),
									},
								},
							},
							ReplicaCount: pulumi.String("string"),
						},
					},
					BaseOutputDirectory: &aiplatform.GoogleCloudAiplatformV1GcsDestinationArgs{
						OutputUriPrefix: pulumi.String("string"),
					},
					EnableDashboardAccess:       pulumi.Bool(false),
					EnableWebAccess:             pulumi.Bool(false),
					Experiment:                  pulumi.String("string"),
					ExperimentRun:               pulumi.String("string"),
					Network:                     pulumi.String("string"),
					ProtectedArtifactLocationId: pulumi.String("string"),
					ReservedIpRanges: pulumi.StringArray{
						pulumi.String("string"),
					},
					Scheduling: &aiplatform.GoogleCloudAiplatformV1SchedulingArgs{
						DisableRetries:            pulumi.Bool(false),
						RestartJobOnWorkerRestart: pulumi.Bool(false),
						Timeout:                   pulumi.String("string"),
					},
					ServiceAccount: pulumi.String("string"),
					Tensorboard:    pulumi.String("string"),
				},
			},
		},
		ResumeNasJobId:  pulumi.String("string"),
		SearchSpaceSpec: pulumi.String("string"),
	},
	EnableRestrictedImageTraining: pulumi.Bool(false),
	EncryptionSpec: &aiplatform.GoogleCloudAiplatformV1EncryptionSpecArgs{
		KmsKeyName: pulumi.String("string"),
	},
	Labels: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Location: pulumi.String("string"),
	Project:  pulumi.String("string"),
})
Copy
var nasJobResource = new NasJob("nasJobResource", NasJobArgs.builder()
    .displayName("string")
    .nasJobSpec(GoogleCloudAiplatformV1NasJobSpecArgs.builder()
        .multiTrialAlgorithmSpec(GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecArgs.builder()
            .searchTrialSpec(GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpecArgs.builder()
                .maxParallelTrialCount(0)
                .maxTrialCount(0)
                .searchTrialJobSpec(GoogleCloudAiplatformV1CustomJobSpecArgs.builder()
                    .workerPoolSpecs(GoogleCloudAiplatformV1WorkerPoolSpecArgs.builder()
                        .containerSpec(GoogleCloudAiplatformV1ContainerSpecArgs.builder()
                            .imageUri("string")
                            .args("string")
                            .command("string")
                            .env(GoogleCloudAiplatformV1EnvVarArgs.builder()
                                .name("string")
                                .value("string")
                                .build())
                            .build())
                        .diskSpec(GoogleCloudAiplatformV1DiskSpecArgs.builder()
                            .bootDiskSizeGb(0)
                            .bootDiskType("string")
                            .build())
                        .machineSpec(GoogleCloudAiplatformV1MachineSpecArgs.builder()
                            .acceleratorCount(0)
                            .acceleratorType("ACCELERATOR_TYPE_UNSPECIFIED")
                            .machineType("string")
                            .tpuTopology("string")
                            .build())
                        .nfsMounts(GoogleCloudAiplatformV1NfsMountArgs.builder()
                            .mountPoint("string")
                            .path("string")
                            .server("string")
                            .build())
                        .pythonPackageSpec(GoogleCloudAiplatformV1PythonPackageSpecArgs.builder()
                            .executorImageUri("string")
                            .packageUris("string")
                            .pythonModule("string")
                            .args("string")
                            .env(GoogleCloudAiplatformV1EnvVarArgs.builder()
                                .name("string")
                                .value("string")
                                .build())
                            .build())
                        .replicaCount("string")
                        .build())
                    .baseOutputDirectory(GoogleCloudAiplatformV1GcsDestinationArgs.builder()
                        .outputUriPrefix("string")
                        .build())
                    .enableDashboardAccess(false)
                    .enableWebAccess(false)
                    .experiment("string")
                    .experimentRun("string")
                    .network("string")
                    .protectedArtifactLocationId("string")
                    .reservedIpRanges("string")
                    .scheduling(GoogleCloudAiplatformV1SchedulingArgs.builder()
                        .disableRetries(false)
                        .restartJobOnWorkerRestart(false)
                        .timeout("string")
                        .build())
                    .serviceAccount("string")
                    .tensorboard("string")
                    .build())
                .maxFailedTrialCount(0)
                .build())
            .metric(GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecArgs.builder()
                .goal("GOAL_TYPE_UNSPECIFIED")
                .metricId("string")
                .build())
            .multiTrialAlgorithm("MULTI_TRIAL_ALGORITHM_UNSPECIFIED")
            .trainTrialSpec(GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpecArgs.builder()
                .frequency(0)
                .maxParallelTrialCount(0)
                .trainTrialJobSpec(GoogleCloudAiplatformV1CustomJobSpecArgs.builder()
                    .workerPoolSpecs(GoogleCloudAiplatformV1WorkerPoolSpecArgs.builder()
                        .containerSpec(GoogleCloudAiplatformV1ContainerSpecArgs.builder()
                            .imageUri("string")
                            .args("string")
                            .command("string")
                            .env(GoogleCloudAiplatformV1EnvVarArgs.builder()
                                .name("string")
                                .value("string")
                                .build())
                            .build())
                        .diskSpec(GoogleCloudAiplatformV1DiskSpecArgs.builder()
                            .bootDiskSizeGb(0)
                            .bootDiskType("string")
                            .build())
                        .machineSpec(GoogleCloudAiplatformV1MachineSpecArgs.builder()
                            .acceleratorCount(0)
                            .acceleratorType("ACCELERATOR_TYPE_UNSPECIFIED")
                            .machineType("string")
                            .tpuTopology("string")
                            .build())
                        .nfsMounts(GoogleCloudAiplatformV1NfsMountArgs.builder()
                            .mountPoint("string")
                            .path("string")
                            .server("string")
                            .build())
                        .pythonPackageSpec(GoogleCloudAiplatformV1PythonPackageSpecArgs.builder()
                            .executorImageUri("string")
                            .packageUris("string")
                            .pythonModule("string")
                            .args("string")
                            .env(GoogleCloudAiplatformV1EnvVarArgs.builder()
                                .name("string")
                                .value("string")
                                .build())
                            .build())
                        .replicaCount("string")
                        .build())
                    .baseOutputDirectory(GoogleCloudAiplatformV1GcsDestinationArgs.builder()
                        .outputUriPrefix("string")
                        .build())
                    .enableDashboardAccess(false)
                    .enableWebAccess(false)
                    .experiment("string")
                    .experimentRun("string")
                    .network("string")
                    .protectedArtifactLocationId("string")
                    .reservedIpRanges("string")
                    .scheduling(GoogleCloudAiplatformV1SchedulingArgs.builder()
                        .disableRetries(false)
                        .restartJobOnWorkerRestart(false)
                        .timeout("string")
                        .build())
                    .serviceAccount("string")
                    .tensorboard("string")
                    .build())
                .build())
            .build())
        .resumeNasJobId("string")
        .searchSpaceSpec("string")
        .build())
    .enableRestrictedImageTraining(false)
    .encryptionSpec(GoogleCloudAiplatformV1EncryptionSpecArgs.builder()
        .kmsKeyName("string")
        .build())
    .labels(Map.of("string", "string"))
    .location("string")
    .project("string")
    .build());
Copy
nas_job_resource = google_native.aiplatform.v1.NasJob("nasJobResource",
    display_name="string",
    nas_job_spec={
        "multi_trial_algorithm_spec": {
            "search_trial_spec": {
                "max_parallel_trial_count": 0,
                "max_trial_count": 0,
                "search_trial_job_spec": {
                    "worker_pool_specs": [{
                        "container_spec": {
                            "image_uri": "string",
                            "args": ["string"],
                            "command": ["string"],
                            "env": [{
                                "name": "string",
                                "value": "string",
                            }],
                        },
                        "disk_spec": {
                            "boot_disk_size_gb": 0,
                            "boot_disk_type": "string",
                        },
                        "machine_spec": {
                            "accelerator_count": 0,
                            "accelerator_type": google_native.aiplatform.v1.GoogleCloudAiplatformV1MachineSpecAcceleratorType.ACCELERATOR_TYPE_UNSPECIFIED,
                            "machine_type": "string",
                            "tpu_topology": "string",
                        },
                        "nfs_mounts": [{
                            "mount_point": "string",
                            "path": "string",
                            "server": "string",
                        }],
                        "python_package_spec": {
                            "executor_image_uri": "string",
                            "package_uris": ["string"],
                            "python_module": "string",
                            "args": ["string"],
                            "env": [{
                                "name": "string",
                                "value": "string",
                            }],
                        },
                        "replica_count": "string",
                    }],
                    "base_output_directory": {
                        "output_uri_prefix": "string",
                    },
                    "enable_dashboard_access": False,
                    "enable_web_access": False,
                    "experiment": "string",
                    "experiment_run": "string",
                    "network": "string",
                    "protected_artifact_location_id": "string",
                    "reserved_ip_ranges": ["string"],
                    "scheduling": {
                        "disable_retries": False,
                        "restart_job_on_worker_restart": False,
                        "timeout": "string",
                    },
                    "service_account": "string",
                    "tensorboard": "string",
                },
                "max_failed_trial_count": 0,
            },
            "metric": {
                "goal": google_native.aiplatform.v1.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoal.GOAL_TYPE_UNSPECIFIED,
                "metric_id": "string",
            },
            "multi_trial_algorithm": google_native.aiplatform.v1.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithm.MULTI_TRIAL_ALGORITHM_UNSPECIFIED,
            "train_trial_spec": {
                "frequency": 0,
                "max_parallel_trial_count": 0,
                "train_trial_job_spec": {
                    "worker_pool_specs": [{
                        "container_spec": {
                            "image_uri": "string",
                            "args": ["string"],
                            "command": ["string"],
                            "env": [{
                                "name": "string",
                                "value": "string",
                            }],
                        },
                        "disk_spec": {
                            "boot_disk_size_gb": 0,
                            "boot_disk_type": "string",
                        },
                        "machine_spec": {
                            "accelerator_count": 0,
                            "accelerator_type": google_native.aiplatform.v1.GoogleCloudAiplatformV1MachineSpecAcceleratorType.ACCELERATOR_TYPE_UNSPECIFIED,
                            "machine_type": "string",
                            "tpu_topology": "string",
                        },
                        "nfs_mounts": [{
                            "mount_point": "string",
                            "path": "string",
                            "server": "string",
                        }],
                        "python_package_spec": {
                            "executor_image_uri": "string",
                            "package_uris": ["string"],
                            "python_module": "string",
                            "args": ["string"],
                            "env": [{
                                "name": "string",
                                "value": "string",
                            }],
                        },
                        "replica_count": "string",
                    }],
                    "base_output_directory": {
                        "output_uri_prefix": "string",
                    },
                    "enable_dashboard_access": False,
                    "enable_web_access": False,
                    "experiment": "string",
                    "experiment_run": "string",
                    "network": "string",
                    "protected_artifact_location_id": "string",
                    "reserved_ip_ranges": ["string"],
                    "scheduling": {
                        "disable_retries": False,
                        "restart_job_on_worker_restart": False,
                        "timeout": "string",
                    },
                    "service_account": "string",
                    "tensorboard": "string",
                },
            },
        },
        "resume_nas_job_id": "string",
        "search_space_spec": "string",
    },
    enable_restricted_image_training=False,
    encryption_spec={
        "kms_key_name": "string",
    },
    labels={
        "string": "string",
    },
    location="string",
    project="string")
Copy
const nasJobResource = new google_native.aiplatform.v1.NasJob("nasJobResource", {
    displayName: "string",
    nasJobSpec: {
        multiTrialAlgorithmSpec: {
            searchTrialSpec: {
                maxParallelTrialCount: 0,
                maxTrialCount: 0,
                searchTrialJobSpec: {
                    workerPoolSpecs: [{
                        containerSpec: {
                            imageUri: "string",
                            args: ["string"],
                            command: ["string"],
                            env: [{
                                name: "string",
                                value: "string",
                            }],
                        },
                        diskSpec: {
                            bootDiskSizeGb: 0,
                            bootDiskType: "string",
                        },
                        machineSpec: {
                            acceleratorCount: 0,
                            acceleratorType: google_native.aiplatform.v1.GoogleCloudAiplatformV1MachineSpecAcceleratorType.AcceleratorTypeUnspecified,
                            machineType: "string",
                            tpuTopology: "string",
                        },
                        nfsMounts: [{
                            mountPoint: "string",
                            path: "string",
                            server: "string",
                        }],
                        pythonPackageSpec: {
                            executorImageUri: "string",
                            packageUris: ["string"],
                            pythonModule: "string",
                            args: ["string"],
                            env: [{
                                name: "string",
                                value: "string",
                            }],
                        },
                        replicaCount: "string",
                    }],
                    baseOutputDirectory: {
                        outputUriPrefix: "string",
                    },
                    enableDashboardAccess: false,
                    enableWebAccess: false,
                    experiment: "string",
                    experimentRun: "string",
                    network: "string",
                    protectedArtifactLocationId: "string",
                    reservedIpRanges: ["string"],
                    scheduling: {
                        disableRetries: false,
                        restartJobOnWorkerRestart: false,
                        timeout: "string",
                    },
                    serviceAccount: "string",
                    tensorboard: "string",
                },
                maxFailedTrialCount: 0,
            },
            metric: {
                goal: google_native.aiplatform.v1.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoal.GoalTypeUnspecified,
                metricId: "string",
            },
            multiTrialAlgorithm: google_native.aiplatform.v1.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithm.MultiTrialAlgorithmUnspecified,
            trainTrialSpec: {
                frequency: 0,
                maxParallelTrialCount: 0,
                trainTrialJobSpec: {
                    workerPoolSpecs: [{
                        containerSpec: {
                            imageUri: "string",
                            args: ["string"],
                            command: ["string"],
                            env: [{
                                name: "string",
                                value: "string",
                            }],
                        },
                        diskSpec: {
                            bootDiskSizeGb: 0,
                            bootDiskType: "string",
                        },
                        machineSpec: {
                            acceleratorCount: 0,
                            acceleratorType: google_native.aiplatform.v1.GoogleCloudAiplatformV1MachineSpecAcceleratorType.AcceleratorTypeUnspecified,
                            machineType: "string",
                            tpuTopology: "string",
                        },
                        nfsMounts: [{
                            mountPoint: "string",
                            path: "string",
                            server: "string",
                        }],
                        pythonPackageSpec: {
                            executorImageUri: "string",
                            packageUris: ["string"],
                            pythonModule: "string",
                            args: ["string"],
                            env: [{
                                name: "string",
                                value: "string",
                            }],
                        },
                        replicaCount: "string",
                    }],
                    baseOutputDirectory: {
                        outputUriPrefix: "string",
                    },
                    enableDashboardAccess: false,
                    enableWebAccess: false,
                    experiment: "string",
                    experimentRun: "string",
                    network: "string",
                    protectedArtifactLocationId: "string",
                    reservedIpRanges: ["string"],
                    scheduling: {
                        disableRetries: false,
                        restartJobOnWorkerRestart: false,
                        timeout: "string",
                    },
                    serviceAccount: "string",
                    tensorboard: "string",
                },
            },
        },
        resumeNasJobId: "string",
        searchSpaceSpec: "string",
    },
    enableRestrictedImageTraining: false,
    encryptionSpec: {
        kmsKeyName: "string",
    },
    labels: {
        string: "string",
    },
    location: "string",
    project: "string",
});
Copy
type: google-native:aiplatform/v1:NasJob
properties:
    displayName: string
    enableRestrictedImageTraining: false
    encryptionSpec:
        kmsKeyName: string
    labels:
        string: string
    location: string
    nasJobSpec:
        multiTrialAlgorithmSpec:
            metric:
                goal: GOAL_TYPE_UNSPECIFIED
                metricId: string
            multiTrialAlgorithm: MULTI_TRIAL_ALGORITHM_UNSPECIFIED
            searchTrialSpec:
                maxFailedTrialCount: 0
                maxParallelTrialCount: 0
                maxTrialCount: 0
                searchTrialJobSpec:
                    baseOutputDirectory:
                        outputUriPrefix: string
                    enableDashboardAccess: false
                    enableWebAccess: false
                    experiment: string
                    experimentRun: string
                    network: string
                    protectedArtifactLocationId: string
                    reservedIpRanges:
                        - string
                    scheduling:
                        disableRetries: false
                        restartJobOnWorkerRestart: false
                        timeout: string
                    serviceAccount: string
                    tensorboard: string
                    workerPoolSpecs:
                        - containerSpec:
                            args:
                                - string
                            command:
                                - string
                            env:
                                - name: string
                                  value: string
                            imageUri: string
                          diskSpec:
                            bootDiskSizeGb: 0
                            bootDiskType: string
                          machineSpec:
                            acceleratorCount: 0
                            acceleratorType: ACCELERATOR_TYPE_UNSPECIFIED
                            machineType: string
                            tpuTopology: string
                          nfsMounts:
                            - mountPoint: string
                              path: string
                              server: string
                          pythonPackageSpec:
                            args:
                                - string
                            env:
                                - name: string
                                  value: string
                            executorImageUri: string
                            packageUris:
                                - string
                            pythonModule: string
                          replicaCount: string
            trainTrialSpec:
                frequency: 0
                maxParallelTrialCount: 0
                trainTrialJobSpec:
                    baseOutputDirectory:
                        outputUriPrefix: string
                    enableDashboardAccess: false
                    enableWebAccess: false
                    experiment: string
                    experimentRun: string
                    network: string
                    protectedArtifactLocationId: string
                    reservedIpRanges:
                        - string
                    scheduling:
                        disableRetries: false
                        restartJobOnWorkerRestart: false
                        timeout: string
                    serviceAccount: string
                    tensorboard: string
                    workerPoolSpecs:
                        - containerSpec:
                            args:
                                - string
                            command:
                                - string
                            env:
                                - name: string
                                  value: string
                            imageUri: string
                          diskSpec:
                            bootDiskSizeGb: 0
                            bootDiskType: string
                          machineSpec:
                            acceleratorCount: 0
                            acceleratorType: ACCELERATOR_TYPE_UNSPECIFIED
                            machineType: string
                            tpuTopology: string
                          nfsMounts:
                            - mountPoint: string
                              path: string
                              server: string
                          pythonPackageSpec:
                            args:
                                - string
                            env:
                                - name: string
                                  value: string
                            executorImageUri: string
                            packageUris:
                                - string
                            pythonModule: string
                          replicaCount: string
        resumeNasJobId: string
        searchSpaceSpec: string
    project: string
Copy

NasJob Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The NasJob resource accepts the following input properties:

DisplayName This property is required. string
The display name of the NasJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.
NasJobSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpec
The specification of a NasJob.
EnableRestrictedImageTraining bool
Optional. Enable a separation of Custom model training and restricted image training for tenant project.
EncryptionSpec Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1EncryptionSpec
Customer-managed encryption key options for a NasJob. If this is set, then all resources created by the NasJob will be encrypted with the provided encryption key.
Labels Dictionary<string, string>
The labels with user-defined metadata to organize NasJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
Location Changes to this property will trigger replacement. string
Project Changes to this property will trigger replacement. string
DisplayName This property is required. string
The display name of the NasJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.
NasJobSpec This property is required. GoogleCloudAiplatformV1NasJobSpecArgs
The specification of a NasJob.
EnableRestrictedImageTraining bool
Optional. Enable a separation of Custom model training and restricted image training for tenant project.
EncryptionSpec GoogleCloudAiplatformV1EncryptionSpecArgs
Customer-managed encryption key options for a NasJob. If this is set, then all resources created by the NasJob will be encrypted with the provided encryption key.
Labels map[string]string
The labels with user-defined metadata to organize NasJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
Location Changes to this property will trigger replacement. string
Project Changes to this property will trigger replacement. string
displayName This property is required. String
The display name of the NasJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.
nasJobSpec This property is required. GoogleCloudAiplatformV1NasJobSpec
The specification of a NasJob.
enableRestrictedImageTraining Boolean
Optional. Enable a separation of Custom model training and restricted image training for tenant project.
encryptionSpec GoogleCloudAiplatformV1EncryptionSpec
Customer-managed encryption key options for a NasJob. If this is set, then all resources created by the NasJob will be encrypted with the provided encryption key.
labels Map<String,String>
The labels with user-defined metadata to organize NasJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
location Changes to this property will trigger replacement. String
project Changes to this property will trigger replacement. String
displayName This property is required. string
The display name of the NasJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.
nasJobSpec This property is required. GoogleCloudAiplatformV1NasJobSpec
The specification of a NasJob.
enableRestrictedImageTraining boolean
Optional. Enable a separation of Custom model training and restricted image training for tenant project.
encryptionSpec GoogleCloudAiplatformV1EncryptionSpec
Customer-managed encryption key options for a NasJob. If this is set, then all resources created by the NasJob will be encrypted with the provided encryption key.
labels {[key: string]: string}
The labels with user-defined metadata to organize NasJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
location Changes to this property will trigger replacement. string
project Changes to this property will trigger replacement. string
display_name This property is required. str
The display name of the NasJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.
nas_job_spec This property is required. GoogleCloudAiplatformV1NasJobSpecArgs
The specification of a NasJob.
enable_restricted_image_training bool
Optional. Enable a separation of Custom model training and restricted image training for tenant project.
encryption_spec GoogleCloudAiplatformV1EncryptionSpecArgs
Customer-managed encryption key options for a NasJob. If this is set, then all resources created by the NasJob will be encrypted with the provided encryption key.
labels Mapping[str, str]
The labels with user-defined metadata to organize NasJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
location Changes to this property will trigger replacement. str
project Changes to this property will trigger replacement. str
displayName This property is required. String
The display name of the NasJob. The name can be up to 128 characters long and can consist of any UTF-8 characters.
nasJobSpec This property is required. Property Map
The specification of a NasJob.
enableRestrictedImageTraining Boolean
Optional. Enable a separation of Custom model training and restricted image training for tenant project.
encryptionSpec Property Map
Customer-managed encryption key options for a NasJob. If this is set, then all resources created by the NasJob will be encrypted with the provided encryption key.
labels Map<String>
The labels with user-defined metadata to organize NasJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels.
location Changes to this property will trigger replacement. String
project Changes to this property will trigger replacement. String

Outputs

All input properties are implicitly available as output properties. Additionally, the NasJob resource produces the following output properties:

CreateTime string
Time when the NasJob was created.
EndTime string
Time when the NasJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.
Error Pulumi.GoogleNative.Aiplatform.V1.Outputs.GoogleRpcStatusResponse
Only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
Id string
The provider-assigned unique ID for this managed resource.
Name string
Resource name of the NasJob.
NasJobOutput Pulumi.GoogleNative.Aiplatform.V1.Outputs.GoogleCloudAiplatformV1NasJobOutputResponse
Output of the NasJob.
StartTime string
Time when the NasJob for the first time entered the JOB_STATE_RUNNING state.
State string
The detailed state of the job.
UpdateTime string
Time when the NasJob was most recently updated.
CreateTime string
Time when the NasJob was created.
EndTime string
Time when the NasJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.
Error GoogleRpcStatusResponse
Only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
Id string
The provider-assigned unique ID for this managed resource.
Name string
Resource name of the NasJob.
NasJobOutput GoogleCloudAiplatformV1NasJobOutputResponse
Output of the NasJob.
StartTime string
Time when the NasJob for the first time entered the JOB_STATE_RUNNING state.
State string
The detailed state of the job.
UpdateTime string
Time when the NasJob was most recently updated.
createTime String
Time when the NasJob was created.
endTime String
Time when the NasJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.
error GoogleRpcStatusResponse
Only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
id String
The provider-assigned unique ID for this managed resource.
name String
Resource name of the NasJob.
nasJobOutput GoogleCloudAiplatformV1NasJobOutputResponse
Output of the NasJob.
startTime String
Time when the NasJob for the first time entered the JOB_STATE_RUNNING state.
state String
The detailed state of the job.
updateTime String
Time when the NasJob was most recently updated.
createTime string
Time when the NasJob was created.
endTime string
Time when the NasJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.
error GoogleRpcStatusResponse
Only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
id string
The provider-assigned unique ID for this managed resource.
name string
Resource name of the NasJob.
nasJobOutput GoogleCloudAiplatformV1NasJobOutputResponse
Output of the NasJob.
startTime string
Time when the NasJob for the first time entered the JOB_STATE_RUNNING state.
state string
The detailed state of the job.
updateTime string
Time when the NasJob was most recently updated.
create_time str
Time when the NasJob was created.
end_time str
Time when the NasJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.
error GoogleRpcStatusResponse
Only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
id str
The provider-assigned unique ID for this managed resource.
name str
Resource name of the NasJob.
nas_job_output GoogleCloudAiplatformV1NasJobOutputResponse
Output of the NasJob.
start_time str
Time when the NasJob for the first time entered the JOB_STATE_RUNNING state.
state str
The detailed state of the job.
update_time str
Time when the NasJob was most recently updated.
createTime String
Time when the NasJob was created.
endTime String
Time when the NasJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED.
error Property Map
Only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.
id String
The provider-assigned unique ID for this managed resource.
name String
Resource name of the NasJob.
nasJobOutput Property Map
Output of the NasJob.
startTime String
Time when the NasJob for the first time entered the JOB_STATE_RUNNING state.
state String
The detailed state of the job.
updateTime String
Time when the NasJob was most recently updated.

Supporting Types

GoogleCloudAiplatformV1ContainerSpec
, GoogleCloudAiplatformV1ContainerSpecArgs

ImageUri This property is required. string
The URI of a container image in the Container Registry that is to be run on each worker replica.
Args List<string>
The arguments to be passed when starting the container.
Command List<string>
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
Env List<Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1EnvVar>
Environment variables to be passed to the container. Maximum limit is 100.
ImageUri This property is required. string
The URI of a container image in the Container Registry that is to be run on each worker replica.
Args []string
The arguments to be passed when starting the container.
Command []string
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
Env []GoogleCloudAiplatformV1EnvVar
Environment variables to be passed to the container. Maximum limit is 100.
imageUri This property is required. String
The URI of a container image in the Container Registry that is to be run on each worker replica.
args List<String>
The arguments to be passed when starting the container.
command List<String>
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
env List<GoogleCloudAiplatformV1EnvVar>
Environment variables to be passed to the container. Maximum limit is 100.
imageUri This property is required. string
The URI of a container image in the Container Registry that is to be run on each worker replica.
args string[]
The arguments to be passed when starting the container.
command string[]
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
env GoogleCloudAiplatformV1EnvVar[]
Environment variables to be passed to the container. Maximum limit is 100.
image_uri This property is required. str
The URI of a container image in the Container Registry that is to be run on each worker replica.
args Sequence[str]
The arguments to be passed when starting the container.
command Sequence[str]
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
env Sequence[GoogleCloudAiplatformV1EnvVar]
Environment variables to be passed to the container. Maximum limit is 100.
imageUri This property is required. String
The URI of a container image in the Container Registry that is to be run on each worker replica.
args List<String>
The arguments to be passed when starting the container.
command List<String>
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
env List<Property Map>
Environment variables to be passed to the container. Maximum limit is 100.

GoogleCloudAiplatformV1ContainerSpecResponse
, GoogleCloudAiplatformV1ContainerSpecResponseArgs

Args This property is required. List<string>
The arguments to be passed when starting the container.
Command This property is required. List<string>
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
Env This property is required. List<Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1EnvVarResponse>
Environment variables to be passed to the container. Maximum limit is 100.
ImageUri This property is required. string
The URI of a container image in the Container Registry that is to be run on each worker replica.
Args This property is required. []string
The arguments to be passed when starting the container.
Command This property is required. []string
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
Env This property is required. []GoogleCloudAiplatformV1EnvVarResponse
Environment variables to be passed to the container. Maximum limit is 100.
ImageUri This property is required. string
The URI of a container image in the Container Registry that is to be run on each worker replica.
args This property is required. List<String>
The arguments to be passed when starting the container.
command This property is required. List<String>
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
env This property is required. List<GoogleCloudAiplatformV1EnvVarResponse>
Environment variables to be passed to the container. Maximum limit is 100.
imageUri This property is required. String
The URI of a container image in the Container Registry that is to be run on each worker replica.
args This property is required. string[]
The arguments to be passed when starting the container.
command This property is required. string[]
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
env This property is required. GoogleCloudAiplatformV1EnvVarResponse[]
Environment variables to be passed to the container. Maximum limit is 100.
imageUri This property is required. string
The URI of a container image in the Container Registry that is to be run on each worker replica.
args This property is required. Sequence[str]
The arguments to be passed when starting the container.
command This property is required. Sequence[str]
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
env This property is required. Sequence[GoogleCloudAiplatformV1EnvVarResponse]
Environment variables to be passed to the container. Maximum limit is 100.
image_uri This property is required. str
The URI of a container image in the Container Registry that is to be run on each worker replica.
args This property is required. List<String>
The arguments to be passed when starting the container.
command This property is required. List<String>
The command to be invoked when the container is started. It overrides the entrypoint instruction in Dockerfile when provided.
env This property is required. List<Property Map>
Environment variables to be passed to the container. Maximum limit is 100.
imageUri This property is required. String
The URI of a container image in the Container Registry that is to be run on each worker replica.

GoogleCloudAiplatformV1CustomJobSpec
, GoogleCloudAiplatformV1CustomJobSpecArgs

WorkerPoolSpecs This property is required. List<Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1WorkerPoolSpec>
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.
BaseOutputDirectory Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1GcsDestination
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
EnableDashboardAccess bool
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
EnableWebAccess bool
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
Experiment string
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
ExperimentRun string
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
Network string
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
ProtectedArtifactLocationId string
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
ReservedIpRanges List<string>
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
Scheduling Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1Scheduling
Scheduling options for a CustomJob.
ServiceAccount string
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
Tensorboard string
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
WorkerPoolSpecs This property is required. []GoogleCloudAiplatformV1WorkerPoolSpec
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.
BaseOutputDirectory GoogleCloudAiplatformV1GcsDestination
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
EnableDashboardAccess bool
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
EnableWebAccess bool
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
Experiment string
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
ExperimentRun string
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
Network string
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
ProtectedArtifactLocationId string
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
ReservedIpRanges []string
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
Scheduling GoogleCloudAiplatformV1Scheduling
Scheduling options for a CustomJob.
ServiceAccount string
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
Tensorboard string
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
workerPoolSpecs This property is required. List<GoogleCloudAiplatformV1WorkerPoolSpec>
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.
baseOutputDirectory GoogleCloudAiplatformV1GcsDestination
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
enableDashboardAccess Boolean
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
enableWebAccess Boolean
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
experiment String
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
experimentRun String
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
network String
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
protectedArtifactLocationId String
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
reservedIpRanges List<String>
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
scheduling GoogleCloudAiplatformV1Scheduling
Scheduling options for a CustomJob.
serviceAccount String
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
tensorboard String
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
workerPoolSpecs This property is required. GoogleCloudAiplatformV1WorkerPoolSpec[]
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.
baseOutputDirectory GoogleCloudAiplatformV1GcsDestination
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
enableDashboardAccess boolean
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
enableWebAccess boolean
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
experiment string
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
experimentRun string
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
network string
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
protectedArtifactLocationId string
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
reservedIpRanges string[]
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
scheduling GoogleCloudAiplatformV1Scheduling
Scheduling options for a CustomJob.
serviceAccount string
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
tensorboard string
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
worker_pool_specs This property is required. Sequence[GoogleCloudAiplatformV1WorkerPoolSpec]
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.
base_output_directory GoogleCloudAiplatformV1GcsDestination
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
enable_dashboard_access bool
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
enable_web_access bool
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
experiment str
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
experiment_run str
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
network str
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
protected_artifact_location_id str
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
reserved_ip_ranges Sequence[str]
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
scheduling GoogleCloudAiplatformV1Scheduling
Scheduling options for a CustomJob.
service_account str
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
tensorboard str
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
workerPoolSpecs This property is required. List<Property Map>
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.
baseOutputDirectory Property Map
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
enableDashboardAccess Boolean
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
enableWebAccess Boolean
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
experiment String
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
experimentRun String
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
network String
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
protectedArtifactLocationId String
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
reservedIpRanges List<String>
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
scheduling Property Map
Scheduling options for a CustomJob.
serviceAccount String
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
tensorboard String
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}

GoogleCloudAiplatformV1CustomJobSpecResponse
, GoogleCloudAiplatformV1CustomJobSpecResponseArgs

BaseOutputDirectory This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1GcsDestinationResponse
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
EnableDashboardAccess This property is required. bool
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
EnableWebAccess This property is required. bool
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
Experiment This property is required. string
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
ExperimentRun This property is required. string
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
Network This property is required. string
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
ProtectedArtifactLocationId This property is required. string
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
ReservedIpRanges This property is required. List<string>
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
Scheduling This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1SchedulingResponse
Scheduling options for a CustomJob.
ServiceAccount This property is required. string
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
Tensorboard This property is required. string
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
WorkerPoolSpecs This property is required. List<Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1WorkerPoolSpecResponse>
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.
BaseOutputDirectory This property is required. GoogleCloudAiplatformV1GcsDestinationResponse
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
EnableDashboardAccess This property is required. bool
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
EnableWebAccess This property is required. bool
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
Experiment This property is required. string
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
ExperimentRun This property is required. string
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
Network This property is required. string
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
ProtectedArtifactLocationId This property is required. string
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
ReservedIpRanges This property is required. []string
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
Scheduling This property is required. GoogleCloudAiplatformV1SchedulingResponse
Scheduling options for a CustomJob.
ServiceAccount This property is required. string
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
Tensorboard This property is required. string
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
WorkerPoolSpecs This property is required. []GoogleCloudAiplatformV1WorkerPoolSpecResponse
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.
baseOutputDirectory This property is required. GoogleCloudAiplatformV1GcsDestinationResponse
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
enableDashboardAccess This property is required. Boolean
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
enableWebAccess This property is required. Boolean
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
experiment This property is required. String
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
experimentRun This property is required. String
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
network This property is required. String
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
protectedArtifactLocationId This property is required. String
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
reservedIpRanges This property is required. List<String>
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
scheduling This property is required. GoogleCloudAiplatformV1SchedulingResponse
Scheduling options for a CustomJob.
serviceAccount This property is required. String
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
tensorboard This property is required. String
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
workerPoolSpecs This property is required. List<GoogleCloudAiplatformV1WorkerPoolSpecResponse>
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.
baseOutputDirectory This property is required. GoogleCloudAiplatformV1GcsDestinationResponse
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
enableDashboardAccess This property is required. boolean
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
enableWebAccess This property is required. boolean
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
experiment This property is required. string
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
experimentRun This property is required. string
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
network This property is required. string
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
protectedArtifactLocationId This property is required. string
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
reservedIpRanges This property is required. string[]
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
scheduling This property is required. GoogleCloudAiplatformV1SchedulingResponse
Scheduling options for a CustomJob.
serviceAccount This property is required. string
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
tensorboard This property is required. string
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
workerPoolSpecs This property is required. GoogleCloudAiplatformV1WorkerPoolSpecResponse[]
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.
base_output_directory This property is required. GoogleCloudAiplatformV1GcsDestinationResponse
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
enable_dashboard_access This property is required. bool
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
enable_web_access This property is required. bool
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
experiment This property is required. str
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
experiment_run This property is required. str
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
network This property is required. str
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
protected_artifact_location_id This property is required. str
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
reserved_ip_ranges This property is required. Sequence[str]
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
scheduling This property is required. GoogleCloudAiplatformV1SchedulingResponse
Scheduling options for a CustomJob.
service_account This property is required. str
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
tensorboard This property is required. str
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
worker_pool_specs This property is required. Sequence[GoogleCloudAiplatformV1WorkerPoolSpecResponse]
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.
baseOutputDirectory This property is required. Property Map
The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory. The following Vertex AI environment variables will be passed to containers or python modules when this field is set: For CustomJob: * AIP_MODEL_DIR = /model/ * AIP_CHECKPOINT_DIR = /checkpoints/ * AIP_TENSORBOARD_LOG_DIR = /logs/ For CustomJob backing a Trial of HyperparameterTuningJob: * AIP_MODEL_DIR = //model/ * AIP_CHECKPOINT_DIR = //checkpoints/ * AIP_TENSORBOARD_LOG_DIR = //logs/
enableDashboardAccess This property is required. Boolean
Optional. Whether you want Vertex AI to enable access to the customized dashboard in training chief container. If set to true, you can access the dashboard at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
enableWebAccess This property is required. Boolean
Optional. Whether you want Vertex AI to enable interactive shell access to training containers. If set to true, you can access interactive shells at the URIs given by CustomJob.web_access_uris or Trial.web_access_uris (within HyperparameterTuningJob.trials).
experiment This property is required. String
Optional. The Experiment associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}
experimentRun This property is required. String
Optional. The Experiment Run associated with this job. Format: projects/{project}/locations/{location}/metadataStores/{metadataStores}/contexts/{experiment-name}-{experiment-run-name}
network This property is required. String
Optional. The full name of the Compute Engine network to which the Job should be peered. For example, projects/12345/global/networks/myVPC. Format is of the form projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is a network name. To specify this field, you must have already configured VPC Network Peering for Vertex AI. If this field is left unspecified, the job is not peered with any network.
protectedArtifactLocationId This property is required. String
The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
reservedIpRanges This property is required. List<String>
Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
scheduling This property is required. Property Map
Scheduling options for a CustomJob.
serviceAccount This property is required. String
Specifies the service account for workload run-as account. Users submitting jobs must have act-as permission on this run-as account. If unspecified, the Vertex AI Custom Code Service Agent for the CustomJob's project is used.
tensorboard This property is required. String
Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
workerPoolSpecs This property is required. List<Property Map>
The spec of the worker pools including machine type and Docker image. All worker pools except the first one are optional and can be skipped by providing an empty value.

GoogleCloudAiplatformV1DiskSpec
, GoogleCloudAiplatformV1DiskSpecArgs

BootDiskSizeGb int
Size in GB of the boot disk (default is 100GB).
BootDiskType string
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
BootDiskSizeGb int
Size in GB of the boot disk (default is 100GB).
BootDiskType string
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
bootDiskSizeGb Integer
Size in GB of the boot disk (default is 100GB).
bootDiskType String
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
bootDiskSizeGb number
Size in GB of the boot disk (default is 100GB).
bootDiskType string
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
boot_disk_size_gb int
Size in GB of the boot disk (default is 100GB).
boot_disk_type str
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
bootDiskSizeGb Number
Size in GB of the boot disk (default is 100GB).
bootDiskType String
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).

GoogleCloudAiplatformV1DiskSpecResponse
, GoogleCloudAiplatformV1DiskSpecResponseArgs

BootDiskSizeGb This property is required. int
Size in GB of the boot disk (default is 100GB).
BootDiskType This property is required. string
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
BootDiskSizeGb This property is required. int
Size in GB of the boot disk (default is 100GB).
BootDiskType This property is required. string
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
bootDiskSizeGb This property is required. Integer
Size in GB of the boot disk (default is 100GB).
bootDiskType This property is required. String
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
bootDiskSizeGb This property is required. number
Size in GB of the boot disk (default is 100GB).
bootDiskType This property is required. string
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
boot_disk_size_gb This property is required. int
Size in GB of the boot disk (default is 100GB).
boot_disk_type This property is required. str
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
bootDiskSizeGb This property is required. Number
Size in GB of the boot disk (default is 100GB).
bootDiskType This property is required. String
Type of the boot disk (default is "pd-ssd"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).

GoogleCloudAiplatformV1EncryptionSpec
, GoogleCloudAiplatformV1EncryptionSpecArgs

KmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
KmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. String
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kms_key_name This property is required. str
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. String
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

GoogleCloudAiplatformV1EncryptionSpecResponse
, GoogleCloudAiplatformV1EncryptionSpecResponseArgs

KmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
KmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. String
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. string
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kms_key_name This property is required. str
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
kmsKeyName This property is required. String
The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.

GoogleCloudAiplatformV1EnvVar
, GoogleCloudAiplatformV1EnvVarArgs

Name This property is required. string
Name of the environment variable. Must be a valid C identifier.
Value This property is required. string
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.
Name This property is required. string
Name of the environment variable. Must be a valid C identifier.
Value This property is required. string
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.
name This property is required. String
Name of the environment variable. Must be a valid C identifier.
value This property is required. String
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.
name This property is required. string
Name of the environment variable. Must be a valid C identifier.
value This property is required. string
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.
name This property is required. str
Name of the environment variable. Must be a valid C identifier.
value This property is required. str
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.
name This property is required. String
Name of the environment variable. Must be a valid C identifier.
value This property is required. String
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.

GoogleCloudAiplatformV1EnvVarResponse
, GoogleCloudAiplatformV1EnvVarResponseArgs

Name This property is required. string
Name of the environment variable. Must be a valid C identifier.
Value This property is required. string
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.
Name This property is required. string
Name of the environment variable. Must be a valid C identifier.
Value This property is required. string
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.
name This property is required. String
Name of the environment variable. Must be a valid C identifier.
value This property is required. String
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.
name This property is required. string
Name of the environment variable. Must be a valid C identifier.
value This property is required. string
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.
name This property is required. str
Name of the environment variable. Must be a valid C identifier.
value This property is required. str
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.
name This property is required. String
Name of the environment variable. Must be a valid C identifier.
value This property is required. String
Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not.

GoogleCloudAiplatformV1GcsDestination
, GoogleCloudAiplatformV1GcsDestinationArgs

OutputUriPrefix This property is required. string
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
OutputUriPrefix This property is required. string
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
outputUriPrefix This property is required. String
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
outputUriPrefix This property is required. string
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
output_uri_prefix This property is required. str
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
outputUriPrefix This property is required. String
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.

GoogleCloudAiplatformV1GcsDestinationResponse
, GoogleCloudAiplatformV1GcsDestinationResponseArgs

OutputUriPrefix This property is required. string
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
OutputUriPrefix This property is required. string
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
outputUriPrefix This property is required. String
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
outputUriPrefix This property is required. string
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
output_uri_prefix This property is required. str
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
outputUriPrefix This property is required. String
Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.

GoogleCloudAiplatformV1MachineSpec
, GoogleCloudAiplatformV1MachineSpecArgs

AcceleratorCount int
The number of accelerators to attach to the machine.
AcceleratorType Pulumi.GoogleNative.Aiplatform.V1.GoogleCloudAiplatformV1MachineSpecAcceleratorType
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
MachineType string
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
TpuTopology string
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
AcceleratorCount int
The number of accelerators to attach to the machine.
AcceleratorType GoogleCloudAiplatformV1MachineSpecAcceleratorType
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
MachineType string
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
TpuTopology string
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
acceleratorCount Integer
The number of accelerators to attach to the machine.
acceleratorType GoogleCloudAiplatformV1MachineSpecAcceleratorType
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
machineType String
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
tpuTopology String
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
acceleratorCount number
The number of accelerators to attach to the machine.
acceleratorType GoogleCloudAiplatformV1MachineSpecAcceleratorType
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
machineType string
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
tpuTopology string
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
accelerator_count int
The number of accelerators to attach to the machine.
accelerator_type GoogleCloudAiplatformV1MachineSpecAcceleratorType
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
machine_type str
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
tpu_topology str
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
acceleratorCount Number
The number of accelerators to attach to the machine.
acceleratorType "ACCELERATOR_TYPE_UNSPECIFIED" | "NVIDIA_TESLA_K80" | "NVIDIA_TESLA_P100" | "NVIDIA_TESLA_V100" | "NVIDIA_TESLA_P4" | "NVIDIA_TESLA_T4" | "NVIDIA_TESLA_A100" | "NVIDIA_A100_80GB" | "NVIDIA_L4" | "TPU_V2" | "TPU_V3" | "TPU_V4_POD"
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
machineType String
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
tpuTopology String
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").

GoogleCloudAiplatformV1MachineSpecAcceleratorType
, GoogleCloudAiplatformV1MachineSpecAcceleratorTypeArgs

AcceleratorTypeUnspecified
ACCELERATOR_TYPE_UNSPECIFIEDUnspecified accelerator type, which means no accelerator.
NvidiaTeslaK80
NVIDIA_TESLA_K80Nvidia Tesla K80 GPU.
NvidiaTeslaP100
NVIDIA_TESLA_P100Nvidia Tesla P100 GPU.
NvidiaTeslaV100
NVIDIA_TESLA_V100Nvidia Tesla V100 GPU.
NvidiaTeslaP4
NVIDIA_TESLA_P4Nvidia Tesla P4 GPU.
NvidiaTeslaT4
NVIDIA_TESLA_T4Nvidia Tesla T4 GPU.
NvidiaTeslaA100
NVIDIA_TESLA_A100Nvidia Tesla A100 GPU.
NvidiaA10080gb
NVIDIA_A100_80GBNvidia A100 80GB GPU.
NvidiaL4
NVIDIA_L4Nvidia L4 GPU.
TpuV2
TPU_V2TPU v2.
TpuV3
TPU_V3TPU v3.
TpuV4Pod
TPU_V4_PODTPU v4.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeAcceleratorTypeUnspecified
ACCELERATOR_TYPE_UNSPECIFIEDUnspecified accelerator type, which means no accelerator.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeNvidiaTeslaK80
NVIDIA_TESLA_K80Nvidia Tesla K80 GPU.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeNvidiaTeslaP100
NVIDIA_TESLA_P100Nvidia Tesla P100 GPU.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeNvidiaTeslaV100
NVIDIA_TESLA_V100Nvidia Tesla V100 GPU.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeNvidiaTeslaP4
NVIDIA_TESLA_P4Nvidia Tesla P4 GPU.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeNvidiaTeslaT4
NVIDIA_TESLA_T4Nvidia Tesla T4 GPU.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeNvidiaTeslaA100
NVIDIA_TESLA_A100Nvidia Tesla A100 GPU.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeNvidiaA10080gb
NVIDIA_A100_80GBNvidia A100 80GB GPU.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeNvidiaL4
NVIDIA_L4Nvidia L4 GPU.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeTpuV2
TPU_V2TPU v2.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeTpuV3
TPU_V3TPU v3.
GoogleCloudAiplatformV1MachineSpecAcceleratorTypeTpuV4Pod
TPU_V4_PODTPU v4.
AcceleratorTypeUnspecified
ACCELERATOR_TYPE_UNSPECIFIEDUnspecified accelerator type, which means no accelerator.
NvidiaTeslaK80
NVIDIA_TESLA_K80Nvidia Tesla K80 GPU.
NvidiaTeslaP100
NVIDIA_TESLA_P100Nvidia Tesla P100 GPU.
NvidiaTeslaV100
NVIDIA_TESLA_V100Nvidia Tesla V100 GPU.
NvidiaTeslaP4
NVIDIA_TESLA_P4Nvidia Tesla P4 GPU.
NvidiaTeslaT4
NVIDIA_TESLA_T4Nvidia Tesla T4 GPU.
NvidiaTeslaA100
NVIDIA_TESLA_A100Nvidia Tesla A100 GPU.
NvidiaA10080gb
NVIDIA_A100_80GBNvidia A100 80GB GPU.
NvidiaL4
NVIDIA_L4Nvidia L4 GPU.
TpuV2
TPU_V2TPU v2.
TpuV3
TPU_V3TPU v3.
TpuV4Pod
TPU_V4_PODTPU v4.
AcceleratorTypeUnspecified
ACCELERATOR_TYPE_UNSPECIFIEDUnspecified accelerator type, which means no accelerator.
NvidiaTeslaK80
NVIDIA_TESLA_K80Nvidia Tesla K80 GPU.
NvidiaTeslaP100
NVIDIA_TESLA_P100Nvidia Tesla P100 GPU.
NvidiaTeslaV100
NVIDIA_TESLA_V100Nvidia Tesla V100 GPU.
NvidiaTeslaP4
NVIDIA_TESLA_P4Nvidia Tesla P4 GPU.
NvidiaTeslaT4
NVIDIA_TESLA_T4Nvidia Tesla T4 GPU.
NvidiaTeslaA100
NVIDIA_TESLA_A100Nvidia Tesla A100 GPU.
NvidiaA10080gb
NVIDIA_A100_80GBNvidia A100 80GB GPU.
NvidiaL4
NVIDIA_L4Nvidia L4 GPU.
TpuV2
TPU_V2TPU v2.
TpuV3
TPU_V3TPU v3.
TpuV4Pod
TPU_V4_PODTPU v4.
ACCELERATOR_TYPE_UNSPECIFIED
ACCELERATOR_TYPE_UNSPECIFIEDUnspecified accelerator type, which means no accelerator.
NVIDIA_TESLA_K80
NVIDIA_TESLA_K80Nvidia Tesla K80 GPU.
NVIDIA_TESLA_P100
NVIDIA_TESLA_P100Nvidia Tesla P100 GPU.
NVIDIA_TESLA_V100
NVIDIA_TESLA_V100Nvidia Tesla V100 GPU.
NVIDIA_TESLA_P4
NVIDIA_TESLA_P4Nvidia Tesla P4 GPU.
NVIDIA_TESLA_T4
NVIDIA_TESLA_T4Nvidia Tesla T4 GPU.
NVIDIA_TESLA_A100
NVIDIA_TESLA_A100Nvidia Tesla A100 GPU.
NVIDIA_A10080GB
NVIDIA_A100_80GBNvidia A100 80GB GPU.
NVIDIA_L4
NVIDIA_L4Nvidia L4 GPU.
TPU_V2
TPU_V2TPU v2.
TPU_V3
TPU_V3TPU v3.
TPU_V4_POD
TPU_V4_PODTPU v4.
"ACCELERATOR_TYPE_UNSPECIFIED"
ACCELERATOR_TYPE_UNSPECIFIEDUnspecified accelerator type, which means no accelerator.
"NVIDIA_TESLA_K80"
NVIDIA_TESLA_K80Nvidia Tesla K80 GPU.
"NVIDIA_TESLA_P100"
NVIDIA_TESLA_P100Nvidia Tesla P100 GPU.
"NVIDIA_TESLA_V100"
NVIDIA_TESLA_V100Nvidia Tesla V100 GPU.
"NVIDIA_TESLA_P4"
NVIDIA_TESLA_P4Nvidia Tesla P4 GPU.
"NVIDIA_TESLA_T4"
NVIDIA_TESLA_T4Nvidia Tesla T4 GPU.
"NVIDIA_TESLA_A100"
NVIDIA_TESLA_A100Nvidia Tesla A100 GPU.
"NVIDIA_A100_80GB"
NVIDIA_A100_80GBNvidia A100 80GB GPU.
"NVIDIA_L4"
NVIDIA_L4Nvidia L4 GPU.
"TPU_V2"
TPU_V2TPU v2.
"TPU_V3"
TPU_V3TPU v3.
"TPU_V4_POD"
TPU_V4_PODTPU v4.

GoogleCloudAiplatformV1MachineSpecResponse
, GoogleCloudAiplatformV1MachineSpecResponseArgs

AcceleratorCount This property is required. int
The number of accelerators to attach to the machine.
AcceleratorType This property is required. string
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
MachineType This property is required. string
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
TpuTopology This property is required. string
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
AcceleratorCount This property is required. int
The number of accelerators to attach to the machine.
AcceleratorType This property is required. string
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
MachineType This property is required. string
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
TpuTopology This property is required. string
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
acceleratorCount This property is required. Integer
The number of accelerators to attach to the machine.
acceleratorType This property is required. String
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
machineType This property is required. String
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
tpuTopology This property is required. String
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
acceleratorCount This property is required. number
The number of accelerators to attach to the machine.
acceleratorType This property is required. string
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
machineType This property is required. string
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
tpuTopology This property is required. string
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
accelerator_count This property is required. int
The number of accelerators to attach to the machine.
accelerator_type This property is required. str
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
machine_type This property is required. str
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
tpu_topology This property is required. str
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").
acceleratorCount This property is required. Number
The number of accelerators to attach to the machine.
acceleratorType This property is required. String
Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.
machineType This property is required. String
Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. For DeployedModel this field is optional, and the default value is n1-standard-2. For BatchPredictionJob or as part of WorkerPoolSpec this field is required.
tpuTopology This property is required. String
Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").

GoogleCloudAiplatformV1MeasurementMetricResponse
, GoogleCloudAiplatformV1MeasurementMetricResponseArgs

MetricId This property is required. string
The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
Value This property is required. double
The value for this metric.
MetricId This property is required. string
The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
Value This property is required. float64
The value for this metric.
metricId This property is required. String
The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
value This property is required. Double
The value for this metric.
metricId This property is required. string
The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
value This property is required. number
The value for this metric.
metric_id This property is required. str
The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
value This property is required. float
The value for this metric.
metricId This property is required. String
The ID of the Metric. The Metric should be defined in StudySpec's Metrics.
value This property is required. Number
The value for this metric.

GoogleCloudAiplatformV1MeasurementResponse
, GoogleCloudAiplatformV1MeasurementResponseArgs

ElapsedDuration This property is required. string
Time that the Trial has been running at the point of this Measurement.
Metrics This property is required. List<Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1MeasurementMetricResponse>
A list of metrics got by evaluating the objective functions using suggested Parameter values.
StepCount This property is required. string
The number of steps the machine learning model has been trained for. Must be non-negative.
ElapsedDuration This property is required. string
Time that the Trial has been running at the point of this Measurement.
Metrics This property is required. []GoogleCloudAiplatformV1MeasurementMetricResponse
A list of metrics got by evaluating the objective functions using suggested Parameter values.
StepCount This property is required. string
The number of steps the machine learning model has been trained for. Must be non-negative.
elapsedDuration This property is required. String
Time that the Trial has been running at the point of this Measurement.
metrics This property is required. List<GoogleCloudAiplatformV1MeasurementMetricResponse>
A list of metrics got by evaluating the objective functions using suggested Parameter values.
stepCount This property is required. String
The number of steps the machine learning model has been trained for. Must be non-negative.
elapsedDuration This property is required. string
Time that the Trial has been running at the point of this Measurement.
metrics This property is required. GoogleCloudAiplatformV1MeasurementMetricResponse[]
A list of metrics got by evaluating the objective functions using suggested Parameter values.
stepCount This property is required. string
The number of steps the machine learning model has been trained for. Must be non-negative.
elapsed_duration This property is required. str
Time that the Trial has been running at the point of this Measurement.
metrics This property is required. Sequence[GoogleCloudAiplatformV1MeasurementMetricResponse]
A list of metrics got by evaluating the objective functions using suggested Parameter values.
step_count This property is required. str
The number of steps the machine learning model has been trained for. Must be non-negative.
elapsedDuration This property is required. String
Time that the Trial has been running at the point of this Measurement.
metrics This property is required. List<Property Map>
A list of metrics got by evaluating the objective functions using suggested Parameter values.
stepCount This property is required. String
The number of steps the machine learning model has been trained for. Must be non-negative.

GoogleCloudAiplatformV1NasJobOutputMultiTrialJobOutputResponse
, GoogleCloudAiplatformV1NasJobOutputMultiTrialJobOutputResponseArgs

SearchTrials This property is required. List<Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasTrialResponse>
List of NasTrials that were started as part of search stage.
TrainTrials This property is required. List<Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasTrialResponse>
List of NasTrials that were started as part of train stage.
SearchTrials This property is required. []GoogleCloudAiplatformV1NasTrialResponse
List of NasTrials that were started as part of search stage.
TrainTrials This property is required. []GoogleCloudAiplatformV1NasTrialResponse
List of NasTrials that were started as part of train stage.
searchTrials This property is required. List<GoogleCloudAiplatformV1NasTrialResponse>
List of NasTrials that were started as part of search stage.
trainTrials This property is required. List<GoogleCloudAiplatformV1NasTrialResponse>
List of NasTrials that were started as part of train stage.
searchTrials This property is required. GoogleCloudAiplatformV1NasTrialResponse[]
List of NasTrials that were started as part of search stage.
trainTrials This property is required. GoogleCloudAiplatformV1NasTrialResponse[]
List of NasTrials that were started as part of train stage.
search_trials This property is required. Sequence[GoogleCloudAiplatformV1NasTrialResponse]
List of NasTrials that were started as part of search stage.
train_trials This property is required. Sequence[GoogleCloudAiplatformV1NasTrialResponse]
List of NasTrials that were started as part of train stage.
searchTrials This property is required. List<Property Map>
List of NasTrials that were started as part of search stage.
trainTrials This property is required. List<Property Map>
List of NasTrials that were started as part of train stage.

GoogleCloudAiplatformV1NasJobOutputResponse
, GoogleCloudAiplatformV1NasJobOutputResponseArgs

MultiTrialJobOutput This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobOutputMultiTrialJobOutputResponse
The output of this multi-trial Neural Architecture Search (NAS) job.
MultiTrialJobOutput This property is required. GoogleCloudAiplatformV1NasJobOutputMultiTrialJobOutputResponse
The output of this multi-trial Neural Architecture Search (NAS) job.
multiTrialJobOutput This property is required. GoogleCloudAiplatformV1NasJobOutputMultiTrialJobOutputResponse
The output of this multi-trial Neural Architecture Search (NAS) job.
multiTrialJobOutput This property is required. GoogleCloudAiplatformV1NasJobOutputMultiTrialJobOutputResponse
The output of this multi-trial Neural Architecture Search (NAS) job.
multi_trial_job_output This property is required. GoogleCloudAiplatformV1NasJobOutputMultiTrialJobOutputResponse
The output of this multi-trial Neural Architecture Search (NAS) job.
multiTrialJobOutput This property is required. Property Map
The output of this multi-trial Neural Architecture Search (NAS) job.

GoogleCloudAiplatformV1NasJobSpec
, GoogleCloudAiplatformV1NasJobSpecArgs

MultiTrialAlgorithmSpec Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpec
The spec of multi-trial algorithms.
ResumeNasJobId string
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
SearchSpaceSpec string
It defines the search space for Neural Architecture Search (NAS).
MultiTrialAlgorithmSpec GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpec
The spec of multi-trial algorithms.
ResumeNasJobId string
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
SearchSpaceSpec string
It defines the search space for Neural Architecture Search (NAS).
multiTrialAlgorithmSpec GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpec
The spec of multi-trial algorithms.
resumeNasJobId String
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
searchSpaceSpec String
It defines the search space for Neural Architecture Search (NAS).
multiTrialAlgorithmSpec GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpec
The spec of multi-trial algorithms.
resumeNasJobId string
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
searchSpaceSpec string
It defines the search space for Neural Architecture Search (NAS).
multi_trial_algorithm_spec GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpec
The spec of multi-trial algorithms.
resume_nas_job_id str
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
search_space_spec str
It defines the search space for Neural Architecture Search (NAS).
multiTrialAlgorithmSpec Property Map
The spec of multi-trial algorithms.
resumeNasJobId String
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
searchSpaceSpec String
It defines the search space for Neural Architecture Search (NAS).

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpec
, GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecArgs

SearchTrialSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpec
Spec for search trials.
Metric Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpec
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
MultiTrialAlgorithm Pulumi.GoogleNative.Aiplatform.V1.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithm
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
TrainTrialSpec Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpec
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
SearchTrialSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpec
Spec for search trials.
Metric GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpec
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
MultiTrialAlgorithm GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithm
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
TrainTrialSpec GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpec
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
searchTrialSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpec
Spec for search trials.
metric GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpec
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
multiTrialAlgorithm GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithm
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
trainTrialSpec GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpec
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
searchTrialSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpec
Spec for search trials.
metric GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpec
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
multiTrialAlgorithm GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithm
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
trainTrialSpec GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpec
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
search_trial_spec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpec
Spec for search trials.
metric GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpec
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
multi_trial_algorithm GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithm
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
train_trial_spec GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpec
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
searchTrialSpec This property is required. Property Map
Spec for search trials.
metric Property Map
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
multiTrialAlgorithm "MULTI_TRIAL_ALGORITHM_UNSPECIFIED" | "REINFORCEMENT_LEARNING" | "GRID_SEARCH"
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
trainTrialSpec Property Map
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpec
, GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecArgs

Goal This property is required. Pulumi.GoogleNative.Aiplatform.V1.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoal
The optimization goal of the metric.
MetricId This property is required. string
The ID of the metric. Must not contain whitespaces.
Goal This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoal
The optimization goal of the metric.
MetricId This property is required. string
The ID of the metric. Must not contain whitespaces.
goal This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoal
The optimization goal of the metric.
metricId This property is required. String
The ID of the metric. Must not contain whitespaces.
goal This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoal
The optimization goal of the metric.
metricId This property is required. string
The ID of the metric. Must not contain whitespaces.
goal This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoal
The optimization goal of the metric.
metric_id This property is required. str
The ID of the metric. Must not contain whitespaces.
goal This property is required. "GOAL_TYPE_UNSPECIFIED" | "MAXIMIZE" | "MINIMIZE"
The optimization goal of the metric.
metricId This property is required. String
The ID of the metric. Must not contain whitespaces.

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoal
, GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoalArgs

GoalTypeUnspecified
GOAL_TYPE_UNSPECIFIEDGoal Type will default to maximize.
Maximize
MAXIMIZEMaximize the goal metric.
Minimize
MINIMIZEMinimize the goal metric.
GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoalGoalTypeUnspecified
GOAL_TYPE_UNSPECIFIEDGoal Type will default to maximize.
GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoalMaximize
MAXIMIZEMaximize the goal metric.
GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecGoalMinimize
MINIMIZEMinimize the goal metric.
GoalTypeUnspecified
GOAL_TYPE_UNSPECIFIEDGoal Type will default to maximize.
Maximize
MAXIMIZEMaximize the goal metric.
Minimize
MINIMIZEMinimize the goal metric.
GoalTypeUnspecified
GOAL_TYPE_UNSPECIFIEDGoal Type will default to maximize.
Maximize
MAXIMIZEMaximize the goal metric.
Minimize
MINIMIZEMinimize the goal metric.
GOAL_TYPE_UNSPECIFIED
GOAL_TYPE_UNSPECIFIEDGoal Type will default to maximize.
MAXIMIZE
MAXIMIZEMaximize the goal metric.
MINIMIZE
MINIMIZEMinimize the goal metric.
"GOAL_TYPE_UNSPECIFIED"
GOAL_TYPE_UNSPECIFIEDGoal Type will default to maximize.
"MAXIMIZE"
MAXIMIZEMaximize the goal metric.
"MINIMIZE"
MINIMIZEMinimize the goal metric.

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecResponse
, GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecResponseArgs

Goal This property is required. string
The optimization goal of the metric.
MetricId This property is required. string
The ID of the metric. Must not contain whitespaces.
Goal This property is required. string
The optimization goal of the metric.
MetricId This property is required. string
The ID of the metric. Must not contain whitespaces.
goal This property is required. String
The optimization goal of the metric.
metricId This property is required. String
The ID of the metric. Must not contain whitespaces.
goal This property is required. string
The optimization goal of the metric.
metricId This property is required. string
The ID of the metric. Must not contain whitespaces.
goal This property is required. str
The optimization goal of the metric.
metric_id This property is required. str
The ID of the metric. Must not contain whitespaces.
goal This property is required. String
The optimization goal of the metric.
metricId This property is required. String
The ID of the metric. Must not contain whitespaces.

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithm
, GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithmArgs

MultiTrialAlgorithmUnspecified
MULTI_TRIAL_ALGORITHM_UNSPECIFIEDDefaults to REINFORCEMENT_LEARNING.
ReinforcementLearning
REINFORCEMENT_LEARNINGThe Reinforcement Learning Algorithm for Multi-trial Neural Architecture Search (NAS).
GridSearch
GRID_SEARCHThe Grid Search Algorithm for Multi-trial Neural Architecture Search (NAS).
GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithmMultiTrialAlgorithmUnspecified
MULTI_TRIAL_ALGORITHM_UNSPECIFIEDDefaults to REINFORCEMENT_LEARNING.
GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithmReinforcementLearning
REINFORCEMENT_LEARNINGThe Reinforcement Learning Algorithm for Multi-trial Neural Architecture Search (NAS).
GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMultiTrialAlgorithmGridSearch
GRID_SEARCHThe Grid Search Algorithm for Multi-trial Neural Architecture Search (NAS).
MultiTrialAlgorithmUnspecified
MULTI_TRIAL_ALGORITHM_UNSPECIFIEDDefaults to REINFORCEMENT_LEARNING.
ReinforcementLearning
REINFORCEMENT_LEARNINGThe Reinforcement Learning Algorithm for Multi-trial Neural Architecture Search (NAS).
GridSearch
GRID_SEARCHThe Grid Search Algorithm for Multi-trial Neural Architecture Search (NAS).
MultiTrialAlgorithmUnspecified
MULTI_TRIAL_ALGORITHM_UNSPECIFIEDDefaults to REINFORCEMENT_LEARNING.
ReinforcementLearning
REINFORCEMENT_LEARNINGThe Reinforcement Learning Algorithm for Multi-trial Neural Architecture Search (NAS).
GridSearch
GRID_SEARCHThe Grid Search Algorithm for Multi-trial Neural Architecture Search (NAS).
MULTI_TRIAL_ALGORITHM_UNSPECIFIED
MULTI_TRIAL_ALGORITHM_UNSPECIFIEDDefaults to REINFORCEMENT_LEARNING.
REINFORCEMENT_LEARNING
REINFORCEMENT_LEARNINGThe Reinforcement Learning Algorithm for Multi-trial Neural Architecture Search (NAS).
GRID_SEARCH
GRID_SEARCHThe Grid Search Algorithm for Multi-trial Neural Architecture Search (NAS).
"MULTI_TRIAL_ALGORITHM_UNSPECIFIED"
MULTI_TRIAL_ALGORITHM_UNSPECIFIEDDefaults to REINFORCEMENT_LEARNING.
"REINFORCEMENT_LEARNING"
REINFORCEMENT_LEARNINGThe Reinforcement Learning Algorithm for Multi-trial Neural Architecture Search (NAS).
"GRID_SEARCH"
GRID_SEARCHThe Grid Search Algorithm for Multi-trial Neural Architecture Search (NAS).

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecResponse
, GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecResponseArgs

Metric This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecResponse
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
MultiTrialAlgorithm This property is required. string
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
SearchTrialSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpecResponse
Spec for search trials.
TrainTrialSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpecResponse
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
Metric This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecResponse
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
MultiTrialAlgorithm This property is required. string
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
SearchTrialSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpecResponse
Spec for search trials.
TrainTrialSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpecResponse
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
metric This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecResponse
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
multiTrialAlgorithm This property is required. String
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
searchTrialSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpecResponse
Spec for search trials.
trainTrialSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpecResponse
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
metric This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecResponse
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
multiTrialAlgorithm This property is required. string
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
searchTrialSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpecResponse
Spec for search trials.
trainTrialSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpecResponse
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
metric This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecMetricSpecResponse
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
multi_trial_algorithm This property is required. str
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
search_trial_spec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpecResponse
Spec for search trials.
train_trial_spec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpecResponse
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
metric This property is required. Property Map
Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
multiTrialAlgorithm This property is required. String
The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
searchTrialSpec This property is required. Property Map
Spec for search trials.
trainTrialSpec This property is required. Property Map
Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpec
, GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpecArgs

MaxParallelTrialCount This property is required. int
The maximum number of trials to run in parallel.
MaxTrialCount This property is required. int
The maximum number of Neural Architecture Search (NAS) trials to run.
SearchTrialJobSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1CustomJobSpec
The spec of a search trial job. The same spec applies to all search trials.
MaxFailedTrialCount int
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.
MaxParallelTrialCount This property is required. int
The maximum number of trials to run in parallel.
MaxTrialCount This property is required. int
The maximum number of Neural Architecture Search (NAS) trials to run.
SearchTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpec
The spec of a search trial job. The same spec applies to all search trials.
MaxFailedTrialCount int
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.
maxParallelTrialCount This property is required. Integer
The maximum number of trials to run in parallel.
maxTrialCount This property is required. Integer
The maximum number of Neural Architecture Search (NAS) trials to run.
searchTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpec
The spec of a search trial job. The same spec applies to all search trials.
maxFailedTrialCount Integer
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.
maxParallelTrialCount This property is required. number
The maximum number of trials to run in parallel.
maxTrialCount This property is required. number
The maximum number of Neural Architecture Search (NAS) trials to run.
searchTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpec
The spec of a search trial job. The same spec applies to all search trials.
maxFailedTrialCount number
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.
max_parallel_trial_count This property is required. int
The maximum number of trials to run in parallel.
max_trial_count This property is required. int
The maximum number of Neural Architecture Search (NAS) trials to run.
search_trial_job_spec This property is required. GoogleCloudAiplatformV1CustomJobSpec
The spec of a search trial job. The same spec applies to all search trials.
max_failed_trial_count int
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.
maxParallelTrialCount This property is required. Number
The maximum number of trials to run in parallel.
maxTrialCount This property is required. Number
The maximum number of Neural Architecture Search (NAS) trials to run.
searchTrialJobSpec This property is required. Property Map
The spec of a search trial job. The same spec applies to all search trials.
maxFailedTrialCount Number
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpecResponse
, GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecSearchTrialSpecResponseArgs

MaxFailedTrialCount This property is required. int
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.
MaxParallelTrialCount This property is required. int
The maximum number of trials to run in parallel.
MaxTrialCount This property is required. int
The maximum number of Neural Architecture Search (NAS) trials to run.
SearchTrialJobSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1CustomJobSpecResponse
The spec of a search trial job. The same spec applies to all search trials.
MaxFailedTrialCount This property is required. int
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.
MaxParallelTrialCount This property is required. int
The maximum number of trials to run in parallel.
MaxTrialCount This property is required. int
The maximum number of Neural Architecture Search (NAS) trials to run.
SearchTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpecResponse
The spec of a search trial job. The same spec applies to all search trials.
maxFailedTrialCount This property is required. Integer
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.
maxParallelTrialCount This property is required. Integer
The maximum number of trials to run in parallel.
maxTrialCount This property is required. Integer
The maximum number of Neural Architecture Search (NAS) trials to run.
searchTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpecResponse
The spec of a search trial job. The same spec applies to all search trials.
maxFailedTrialCount This property is required. number
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.
maxParallelTrialCount This property is required. number
The maximum number of trials to run in parallel.
maxTrialCount This property is required. number
The maximum number of Neural Architecture Search (NAS) trials to run.
searchTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpecResponse
The spec of a search trial job. The same spec applies to all search trials.
max_failed_trial_count This property is required. int
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.
max_parallel_trial_count This property is required. int
The maximum number of trials to run in parallel.
max_trial_count This property is required. int
The maximum number of Neural Architecture Search (NAS) trials to run.
search_trial_job_spec This property is required. GoogleCloudAiplatformV1CustomJobSpecResponse
The spec of a search trial job. The same spec applies to all search trials.
maxFailedTrialCount This property is required. Number
The number of failed trials that need to be seen before failing the NasJob. If set to 0, Vertex AI decides how many trials must fail before the whole job fails.
maxParallelTrialCount This property is required. Number
The maximum number of trials to run in parallel.
maxTrialCount This property is required. Number
The maximum number of Neural Architecture Search (NAS) trials to run.
searchTrialJobSpec This property is required. Property Map
The spec of a search trial job. The same spec applies to all search trials.

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpec
, GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpecArgs

Frequency This property is required. int
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
MaxParallelTrialCount This property is required. int
The maximum number of trials to run in parallel.
TrainTrialJobSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1CustomJobSpec
The spec of a train trial job. The same spec applies to all train trials.
Frequency This property is required. int
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
MaxParallelTrialCount This property is required. int
The maximum number of trials to run in parallel.
TrainTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpec
The spec of a train trial job. The same spec applies to all train trials.
frequency This property is required. Integer
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
maxParallelTrialCount This property is required. Integer
The maximum number of trials to run in parallel.
trainTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpec
The spec of a train trial job. The same spec applies to all train trials.
frequency This property is required. number
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
maxParallelTrialCount This property is required. number
The maximum number of trials to run in parallel.
trainTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpec
The spec of a train trial job. The same spec applies to all train trials.
frequency This property is required. int
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
max_parallel_trial_count This property is required. int
The maximum number of trials to run in parallel.
train_trial_job_spec This property is required. GoogleCloudAiplatformV1CustomJobSpec
The spec of a train trial job. The same spec applies to all train trials.
frequency This property is required. Number
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
maxParallelTrialCount This property is required. Number
The maximum number of trials to run in parallel.
trainTrialJobSpec This property is required. Property Map
The spec of a train trial job. The same spec applies to all train trials.

GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpecResponse
, GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecTrainTrialSpecResponseArgs

Frequency This property is required. int
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
MaxParallelTrialCount This property is required. int
The maximum number of trials to run in parallel.
TrainTrialJobSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1CustomJobSpecResponse
The spec of a train trial job. The same spec applies to all train trials.
Frequency This property is required. int
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
MaxParallelTrialCount This property is required. int
The maximum number of trials to run in parallel.
TrainTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpecResponse
The spec of a train trial job. The same spec applies to all train trials.
frequency This property is required. Integer
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
maxParallelTrialCount This property is required. Integer
The maximum number of trials to run in parallel.
trainTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpecResponse
The spec of a train trial job. The same spec applies to all train trials.
frequency This property is required. number
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
maxParallelTrialCount This property is required. number
The maximum number of trials to run in parallel.
trainTrialJobSpec This property is required. GoogleCloudAiplatformV1CustomJobSpecResponse
The spec of a train trial job. The same spec applies to all train trials.
frequency This property is required. int
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
max_parallel_trial_count This property is required. int
The maximum number of trials to run in parallel.
train_trial_job_spec This property is required. GoogleCloudAiplatformV1CustomJobSpecResponse
The spec of a train trial job. The same spec applies to all train trials.
frequency This property is required. Number
Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.
maxParallelTrialCount This property is required. Number
The maximum number of trials to run in parallel.
trainTrialJobSpec This property is required. Property Map
The spec of a train trial job. The same spec applies to all train trials.

GoogleCloudAiplatformV1NasJobSpecResponse
, GoogleCloudAiplatformV1NasJobSpecResponseArgs

MultiTrialAlgorithmSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecResponse
The spec of multi-trial algorithms.
ResumeNasJobId This property is required. string
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
SearchSpaceSpec This property is required. string
It defines the search space for Neural Architecture Search (NAS).
MultiTrialAlgorithmSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecResponse
The spec of multi-trial algorithms.
ResumeNasJobId This property is required. string
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
SearchSpaceSpec This property is required. string
It defines the search space for Neural Architecture Search (NAS).
multiTrialAlgorithmSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecResponse
The spec of multi-trial algorithms.
resumeNasJobId This property is required. String
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
searchSpaceSpec This property is required. String
It defines the search space for Neural Architecture Search (NAS).
multiTrialAlgorithmSpec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecResponse
The spec of multi-trial algorithms.
resumeNasJobId This property is required. string
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
searchSpaceSpec This property is required. string
It defines the search space for Neural Architecture Search (NAS).
multi_trial_algorithm_spec This property is required. GoogleCloudAiplatformV1NasJobSpecMultiTrialAlgorithmSpecResponse
The spec of multi-trial algorithms.
resume_nas_job_id This property is required. str
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
search_space_spec This property is required. str
It defines the search space for Neural Architecture Search (NAS).
multiTrialAlgorithmSpec This property is required. Property Map
The spec of multi-trial algorithms.
resumeNasJobId This property is required. String
The ID of the existing NasJob in the same Project and Location which will be used to resume search. search_space_spec and nas_algorithm_spec are obtained from previous NasJob hence should not provide them again for this NasJob.
searchSpaceSpec This property is required. String
It defines the search space for Neural Architecture Search (NAS).

GoogleCloudAiplatformV1NasTrialResponse
, GoogleCloudAiplatformV1NasTrialResponseArgs

EndTime This property is required. string
Time when the NasTrial's status changed to SUCCEEDED or INFEASIBLE.
FinalMeasurement This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1MeasurementResponse
The final measurement containing the objective value.
StartTime This property is required. string
Time when the NasTrial was started.
State This property is required. string
The detailed state of the NasTrial.
EndTime This property is required. string
Time when the NasTrial's status changed to SUCCEEDED or INFEASIBLE.
FinalMeasurement This property is required. GoogleCloudAiplatformV1MeasurementResponse
The final measurement containing the objective value.
StartTime This property is required. string
Time when the NasTrial was started.
State This property is required. string
The detailed state of the NasTrial.
endTime This property is required. String
Time when the NasTrial's status changed to SUCCEEDED or INFEASIBLE.
finalMeasurement This property is required. GoogleCloudAiplatformV1MeasurementResponse
The final measurement containing the objective value.
startTime This property is required. String
Time when the NasTrial was started.
state This property is required. String
The detailed state of the NasTrial.
endTime This property is required. string
Time when the NasTrial's status changed to SUCCEEDED or INFEASIBLE.
finalMeasurement This property is required. GoogleCloudAiplatformV1MeasurementResponse
The final measurement containing the objective value.
startTime This property is required. string
Time when the NasTrial was started.
state This property is required. string
The detailed state of the NasTrial.
end_time This property is required. str
Time when the NasTrial's status changed to SUCCEEDED or INFEASIBLE.
final_measurement This property is required. GoogleCloudAiplatformV1MeasurementResponse
The final measurement containing the objective value.
start_time This property is required. str
Time when the NasTrial was started.
state This property is required. str
The detailed state of the NasTrial.
endTime This property is required. String
Time when the NasTrial's status changed to SUCCEEDED or INFEASIBLE.
finalMeasurement This property is required. Property Map
The final measurement containing the objective value.
startTime This property is required. String
Time when the NasTrial was started.
state This property is required. String
The detailed state of the NasTrial.

GoogleCloudAiplatformV1NfsMount
, GoogleCloudAiplatformV1NfsMountArgs

MountPoint This property is required. string
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
Path This property is required. string
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
Server This property is required. string
IP address of the NFS server.
MountPoint This property is required. string
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
Path This property is required. string
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
Server This property is required. string
IP address of the NFS server.
mountPoint This property is required. String
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
path This property is required. String
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
server This property is required. String
IP address of the NFS server.
mountPoint This property is required. string
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
path This property is required. string
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
server This property is required. string
IP address of the NFS server.
mount_point This property is required. str
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
path This property is required. str
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
server This property is required. str
IP address of the NFS server.
mountPoint This property is required. String
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
path This property is required. String
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
server This property is required. String
IP address of the NFS server.

GoogleCloudAiplatformV1NfsMountResponse
, GoogleCloudAiplatformV1NfsMountResponseArgs

MountPoint This property is required. string
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
Path This property is required. string
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
Server This property is required. string
IP address of the NFS server.
MountPoint This property is required. string
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
Path This property is required. string
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
Server This property is required. string
IP address of the NFS server.
mountPoint This property is required. String
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
path This property is required. String
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
server This property is required. String
IP address of the NFS server.
mountPoint This property is required. string
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
path This property is required. string
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
server This property is required. string
IP address of the NFS server.
mount_point This property is required. str
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
path This property is required. str
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
server This property is required. str
IP address of the NFS server.
mountPoint This property is required. String
Destination mount path. The NFS will be mounted for the user under /mnt/nfs/
path This property is required. String
Source path exported from NFS server. Has to start with '/', and combined with the ip address, it indicates the source mount path in the form of server:path
server This property is required. String
IP address of the NFS server.

GoogleCloudAiplatformV1PythonPackageSpec
, GoogleCloudAiplatformV1PythonPackageSpecArgs

ExecutorImageUri This property is required. string
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
PackageUris This property is required. List<string>
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
PythonModule This property is required. string
The Python module name to run after installing the packages.
Args List<string>
Command line arguments to be passed to the Python task.
Env List<Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1EnvVar>
Environment variables to be passed to the python module. Maximum limit is 100.
ExecutorImageUri This property is required. string
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
PackageUris This property is required. []string
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
PythonModule This property is required. string
The Python module name to run after installing the packages.
Args []string
Command line arguments to be passed to the Python task.
Env []GoogleCloudAiplatformV1EnvVar
Environment variables to be passed to the python module. Maximum limit is 100.
executorImageUri This property is required. String
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
packageUris This property is required. List<String>
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
pythonModule This property is required. String
The Python module name to run after installing the packages.
args List<String>
Command line arguments to be passed to the Python task.
env List<GoogleCloudAiplatformV1EnvVar>
Environment variables to be passed to the python module. Maximum limit is 100.
executorImageUri This property is required. string
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
packageUris This property is required. string[]
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
pythonModule This property is required. string
The Python module name to run after installing the packages.
args string[]
Command line arguments to be passed to the Python task.
env GoogleCloudAiplatformV1EnvVar[]
Environment variables to be passed to the python module. Maximum limit is 100.
executor_image_uri This property is required. str
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
package_uris This property is required. Sequence[str]
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
python_module This property is required. str
The Python module name to run after installing the packages.
args Sequence[str]
Command line arguments to be passed to the Python task.
env Sequence[GoogleCloudAiplatformV1EnvVar]
Environment variables to be passed to the python module. Maximum limit is 100.
executorImageUri This property is required. String
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
packageUris This property is required. List<String>
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
pythonModule This property is required. String
The Python module name to run after installing the packages.
args List<String>
Command line arguments to be passed to the Python task.
env List<Property Map>
Environment variables to be passed to the python module. Maximum limit is 100.

GoogleCloudAiplatformV1PythonPackageSpecResponse
, GoogleCloudAiplatformV1PythonPackageSpecResponseArgs

Args This property is required. List<string>
Command line arguments to be passed to the Python task.
Env This property is required. List<Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1EnvVarResponse>
Environment variables to be passed to the python module. Maximum limit is 100.
ExecutorImageUri This property is required. string
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
PackageUris This property is required. List<string>
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
PythonModule This property is required. string
The Python module name to run after installing the packages.
Args This property is required. []string
Command line arguments to be passed to the Python task.
Env This property is required. []GoogleCloudAiplatformV1EnvVarResponse
Environment variables to be passed to the python module. Maximum limit is 100.
ExecutorImageUri This property is required. string
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
PackageUris This property is required. []string
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
PythonModule This property is required. string
The Python module name to run after installing the packages.
args This property is required. List<String>
Command line arguments to be passed to the Python task.
env This property is required. List<GoogleCloudAiplatformV1EnvVarResponse>
Environment variables to be passed to the python module. Maximum limit is 100.
executorImageUri This property is required. String
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
packageUris This property is required. List<String>
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
pythonModule This property is required. String
The Python module name to run after installing the packages.
args This property is required. string[]
Command line arguments to be passed to the Python task.
env This property is required. GoogleCloudAiplatformV1EnvVarResponse[]
Environment variables to be passed to the python module. Maximum limit is 100.
executorImageUri This property is required. string
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
packageUris This property is required. string[]
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
pythonModule This property is required. string
The Python module name to run after installing the packages.
args This property is required. Sequence[str]
Command line arguments to be passed to the Python task.
env This property is required. Sequence[GoogleCloudAiplatformV1EnvVarResponse]
Environment variables to be passed to the python module. Maximum limit is 100.
executor_image_uri This property is required. str
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
package_uris This property is required. Sequence[str]
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
python_module This property is required. str
The Python module name to run after installing the packages.
args This property is required. List<String>
Command line arguments to be passed to the Python task.
env This property is required. List<Property Map>
Environment variables to be passed to the python module. Maximum limit is 100.
executorImageUri This property is required. String
The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
packageUris This property is required. List<String>
The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
pythonModule This property is required. String
The Python module name to run after installing the packages.

GoogleCloudAiplatformV1Scheduling
, GoogleCloudAiplatformV1SchedulingArgs

DisableRetries bool
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
RestartJobOnWorkerRestart bool
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
Timeout string
The maximum job running time. The default is 7 days.
DisableRetries bool
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
RestartJobOnWorkerRestart bool
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
Timeout string
The maximum job running time. The default is 7 days.
disableRetries Boolean
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
restartJobOnWorkerRestart Boolean
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
timeout String
The maximum job running time. The default is 7 days.
disableRetries boolean
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
restartJobOnWorkerRestart boolean
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
timeout string
The maximum job running time. The default is 7 days.
disable_retries bool
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
restart_job_on_worker_restart bool
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
timeout str
The maximum job running time. The default is 7 days.
disableRetries Boolean
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
restartJobOnWorkerRestart Boolean
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
timeout String
The maximum job running time. The default is 7 days.

GoogleCloudAiplatformV1SchedulingResponse
, GoogleCloudAiplatformV1SchedulingResponseArgs

DisableRetries This property is required. bool
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
RestartJobOnWorkerRestart This property is required. bool
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
Timeout This property is required. string
The maximum job running time. The default is 7 days.
DisableRetries This property is required. bool
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
RestartJobOnWorkerRestart This property is required. bool
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
Timeout This property is required. string
The maximum job running time. The default is 7 days.
disableRetries This property is required. Boolean
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
restartJobOnWorkerRestart This property is required. Boolean
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
timeout This property is required. String
The maximum job running time. The default is 7 days.
disableRetries This property is required. boolean
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
restartJobOnWorkerRestart This property is required. boolean
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
timeout This property is required. string
The maximum job running time. The default is 7 days.
disable_retries This property is required. bool
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
restart_job_on_worker_restart This property is required. bool
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
timeout This property is required. str
The maximum job running time. The default is 7 days.
disableRetries This property is required. Boolean
Optional. Indicates if the job should retry for internal errors after the job starts running. If true, overrides Scheduling.restart_job_on_worker_restart to false.
restartJobOnWorkerRestart This property is required. Boolean
Restarts the entire CustomJob if a worker gets restarted. This feature can be used by distributed training jobs that are not resilient to workers leaving and joining a job.
timeout This property is required. String
The maximum job running time. The default is 7 days.

GoogleCloudAiplatformV1WorkerPoolSpec
, GoogleCloudAiplatformV1WorkerPoolSpecArgs

ContainerSpec GoogleCloudAiplatformV1ContainerSpec
The custom container task.
DiskSpec GoogleCloudAiplatformV1DiskSpec
Disk spec.
MachineSpec GoogleCloudAiplatformV1MachineSpec
Optional. Immutable. The specification of a single machine.
NfsMounts []GoogleCloudAiplatformV1NfsMount
Optional. List of NFS mount spec.
PythonPackageSpec GoogleCloudAiplatformV1PythonPackageSpec
The Python packaged task.
ReplicaCount string
Optional. The number of worker replicas to use for this worker pool.
containerSpec GoogleCloudAiplatformV1ContainerSpec
The custom container task.
diskSpec GoogleCloudAiplatformV1DiskSpec
Disk spec.
machineSpec GoogleCloudAiplatformV1MachineSpec
Optional. Immutable. The specification of a single machine.
nfsMounts List<GoogleCloudAiplatformV1NfsMount>
Optional. List of NFS mount spec.
pythonPackageSpec GoogleCloudAiplatformV1PythonPackageSpec
The Python packaged task.
replicaCount String
Optional. The number of worker replicas to use for this worker pool.
containerSpec GoogleCloudAiplatformV1ContainerSpec
The custom container task.
diskSpec GoogleCloudAiplatformV1DiskSpec
Disk spec.
machineSpec GoogleCloudAiplatformV1MachineSpec
Optional. Immutable. The specification of a single machine.
nfsMounts GoogleCloudAiplatformV1NfsMount[]
Optional. List of NFS mount spec.
pythonPackageSpec GoogleCloudAiplatformV1PythonPackageSpec
The Python packaged task.
replicaCount string
Optional. The number of worker replicas to use for this worker pool.
container_spec GoogleCloudAiplatformV1ContainerSpec
The custom container task.
disk_spec GoogleCloudAiplatformV1DiskSpec
Disk spec.
machine_spec GoogleCloudAiplatformV1MachineSpec
Optional. Immutable. The specification of a single machine.
nfs_mounts Sequence[GoogleCloudAiplatformV1NfsMount]
Optional. List of NFS mount spec.
python_package_spec GoogleCloudAiplatformV1PythonPackageSpec
The Python packaged task.
replica_count str
Optional. The number of worker replicas to use for this worker pool.
containerSpec Property Map
The custom container task.
diskSpec Property Map
Disk spec.
machineSpec Property Map
Optional. Immutable. The specification of a single machine.
nfsMounts List<Property Map>
Optional. List of NFS mount spec.
pythonPackageSpec Property Map
The Python packaged task.
replicaCount String
Optional. The number of worker replicas to use for this worker pool.

GoogleCloudAiplatformV1WorkerPoolSpecResponse
, GoogleCloudAiplatformV1WorkerPoolSpecResponseArgs

ContainerSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1ContainerSpecResponse
The custom container task.
DiskSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1DiskSpecResponse
Disk spec.
MachineSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1MachineSpecResponse
Optional. Immutable. The specification of a single machine.
NfsMounts This property is required. List<Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1NfsMountResponse>
Optional. List of NFS mount spec.
PythonPackageSpec This property is required. Pulumi.GoogleNative.Aiplatform.V1.Inputs.GoogleCloudAiplatformV1PythonPackageSpecResponse
The Python packaged task.
ReplicaCount This property is required. string
Optional. The number of worker replicas to use for this worker pool.
ContainerSpec This property is required. GoogleCloudAiplatformV1ContainerSpecResponse
The custom container task.
DiskSpec This property is required. GoogleCloudAiplatformV1DiskSpecResponse
Disk spec.
MachineSpec This property is required. GoogleCloudAiplatformV1MachineSpecResponse
Optional. Immutable. The specification of a single machine.
NfsMounts This property is required. []GoogleCloudAiplatformV1NfsMountResponse
Optional. List of NFS mount spec.
PythonPackageSpec This property is required. GoogleCloudAiplatformV1PythonPackageSpecResponse
The Python packaged task.
ReplicaCount This property is required. string
Optional. The number of worker replicas to use for this worker pool.
containerSpec This property is required. GoogleCloudAiplatformV1ContainerSpecResponse
The custom container task.
diskSpec This property is required. GoogleCloudAiplatformV1DiskSpecResponse
Disk spec.
machineSpec This property is required. GoogleCloudAiplatformV1MachineSpecResponse
Optional. Immutable. The specification of a single machine.
nfsMounts This property is required. List<GoogleCloudAiplatformV1NfsMountResponse>
Optional. List of NFS mount spec.
pythonPackageSpec This property is required. GoogleCloudAiplatformV1PythonPackageSpecResponse
The Python packaged task.
replicaCount This property is required. String
Optional. The number of worker replicas to use for this worker pool.
containerSpec This property is required. GoogleCloudAiplatformV1ContainerSpecResponse
The custom container task.
diskSpec This property is required. GoogleCloudAiplatformV1DiskSpecResponse
Disk spec.
machineSpec This property is required. GoogleCloudAiplatformV1MachineSpecResponse
Optional. Immutable. The specification of a single machine.
nfsMounts This property is required. GoogleCloudAiplatformV1NfsMountResponse[]
Optional. List of NFS mount spec.
pythonPackageSpec This property is required. GoogleCloudAiplatformV1PythonPackageSpecResponse
The Python packaged task.
replicaCount This property is required. string
Optional. The number of worker replicas to use for this worker pool.
container_spec This property is required. GoogleCloudAiplatformV1ContainerSpecResponse
The custom container task.
disk_spec This property is required. GoogleCloudAiplatformV1DiskSpecResponse
Disk spec.
machine_spec This property is required. GoogleCloudAiplatformV1MachineSpecResponse
Optional. Immutable. The specification of a single machine.
nfs_mounts This property is required. Sequence[GoogleCloudAiplatformV1NfsMountResponse]
Optional. List of NFS mount spec.
python_package_spec This property is required. GoogleCloudAiplatformV1PythonPackageSpecResponse
The Python packaged task.
replica_count This property is required. str
Optional. The number of worker replicas to use for this worker pool.
containerSpec This property is required. Property Map
The custom container task.
diskSpec This property is required. Property Map
Disk spec.
machineSpec This property is required. Property Map
Optional. Immutable. The specification of a single machine.
nfsMounts This property is required. List<Property Map>
Optional. List of NFS mount spec.
pythonPackageSpec This property is required. Property Map
The Python packaged task.
replicaCount This property is required. String
Optional. The number of worker replicas to use for this worker pool.

GoogleRpcStatusResponse
, GoogleRpcStatusResponseArgs

Code This property is required. int
The status code, which should be an enum value of google.rpc.Code.
Details This property is required. List<ImmutableDictionary<string, string>>
A list of messages that carry the error details. There is a common set of message types for APIs to use.
Message This property is required. string
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
Code This property is required. int
The status code, which should be an enum value of google.rpc.Code.
Details This property is required. []map[string]string
A list of messages that carry the error details. There is a common set of message types for APIs to use.
Message This property is required. string
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
code This property is required. Integer
The status code, which should be an enum value of google.rpc.Code.
details This property is required. List<Map<String,String>>
A list of messages that carry the error details. There is a common set of message types for APIs to use.
message This property is required. String
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
code This property is required. number
The status code, which should be an enum value of google.rpc.Code.
details This property is required. {[key: string]: string}[]
A list of messages that carry the error details. There is a common set of message types for APIs to use.
message This property is required. string
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
code This property is required. int
The status code, which should be an enum value of google.rpc.Code.
details This property is required. Sequence[Mapping[str, str]]
A list of messages that carry the error details. There is a common set of message types for APIs to use.
message This property is required. str
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
code This property is required. Number
The status code, which should be an enum value of google.rpc.Code.
details This property is required. List<Map<String>>
A list of messages that carry the error details. There is a common set of message types for APIs to use.
message This property is required. String
A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

Package Details

Repository
Google Cloud Native pulumi/pulumi-google-native
License
Apache-2.0

Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native