Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJobSpec
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJobSpec
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb
Overview
Represents the spec of a CustomJob.
Instance Attribute Summary collapse
-
#base_output_directory ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GcsDestination
The Google Cloud Storage location where the output is to be written to.
-
#enable_dashboard_access ⇒ Boolean
(also: #enable_dashboard_access?)
Optional.
-
#enable_web_access ⇒ Boolean
(also: #enable_web_access?)
Optional.
-
#experiment ⇒ String
Optional.
-
#experiment_run ⇒ String
Optional.
-
#network ⇒ String
Optional.
-
#protected_artifact_location_id ⇒ String
The ID of the location to store protected artifacts.
-
#reserved_ip_ranges ⇒ Array<String>
Optional.
-
#scheduling ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Scheduling
All parameters related to queuing and scheduling of custom jobs.
-
#service_account ⇒ String
Specifies the service account for workload run-as account.
-
#tensorboard ⇒ String
Optional.
-
#worker_pool_specs ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WorkerPoolSpec>
Required.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1CustomJobSpec
constructor
A new instance of GoogleCloudAiplatformV1CustomJobSpec.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1CustomJobSpec
Returns a new instance of GoogleCloudAiplatformV1CustomJobSpec.
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3097 def initialize(**args) update!(**args) end |
Instance Attribute Details
#base_output_directory ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GcsDestination
The Google Cloud Storage location where the output is to be written to.
Corresponds to the JSON property baseOutputDirectory
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3007 def base_output_directory @base_output_directory end |
#enable_dashboard_access ⇒ Boolean Also known as: enable_dashboard_access?
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).
Corresponds to the JSON property enableDashboardAccess
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3015 def enable_dashboard_access @enable_dashboard_access end |
#enable_web_access ⇒ Boolean Also known as: enable_web_access?
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).
Corresponds to the JSON property enableWebAccess
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3025 def enable_web_access @enable_web_access end |
#experiment ⇒ String
Optional. The Experiment associated with this job. Format: projects/project/
locations/location/metadataStores/metadataStores/contexts/experiment-name
Corresponds to the JSON property experiment
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3033 def experiment @experiment end |
#experiment_run ⇒ String
Optional. The Experiment Run associated with this job. Format: projects/
project/locations/location/metadataStores/metadataStores/contexts/
experiment-name-experiment-run-name`
Corresponds to the JSON propertyexperimentRun`
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3040 def experiment_run @experiment_run end |
#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`. Whereprojectis a project number, as in12345, andnetwork
is a network name. To specify this field, you must have already [configured
VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/
general/vpc-peering). If this field is left unspecified, the job is not peered
with any network.
Corresponds to the JSON propertynetwork`
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3053 def network @network end |
#protected_artifact_location_id ⇒ 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
Corresponds to the JSON property protectedArtifactLocationId
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3060 def protected_artifact_location_id @protected_artifact_location_id end |
#reserved_ip_ranges ⇒ Array<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'].
Corresponds to the JSON property reservedIpRanges
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3068 def reserved_ip_ranges @reserved_ip_ranges end |
#scheduling ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Scheduling
All parameters related to queuing and scheduling of custom jobs.
Corresponds to the JSON property scheduling
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3073 def scheduling @scheduling end |
#service_account ⇒ 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.
Corresponds to the JSON property serviceAccount
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3081 def service_account @service_account end |
#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`
Corresponds to the JSON propertytensorboard`
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3088 def tensorboard @tensorboard end |
#worker_pool_specs ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WorkerPoolSpec>
Required. 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.
Corresponds to the JSON property workerPoolSpecs
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3095 def worker_pool_specs @worker_pool_specs end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3102 def update!(**args) @base_output_directory = args[:base_output_directory] if args.key?(:base_output_directory) @enable_dashboard_access = args[:enable_dashboard_access] if args.key?(:enable_dashboard_access) @enable_web_access = args[:enable_web_access] if args.key?(:enable_web_access) @experiment = args[:experiment] if args.key?(:experiment) @experiment_run = args[:experiment_run] if args.key?(:experiment_run) @network = args[:network] if args.key?(:network) @protected_artifact_location_id = args[:protected_artifact_location_id] if args.key?(:protected_artifact_location_id) @reserved_ip_ranges = args[:reserved_ip_ranges] if args.key?(:reserved_ip_ranges) @scheduling = args[:scheduling] if args.key?(:scheduling) @service_account = args[:service_account] if args.key?(:service_account) @tensorboard = args[:tensorboard] if args.key?(:tensorboard) @worker_pool_specs = args[:worker_pool_specs] if args.key?(:worker_pool_specs) end |