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.
-
#models ⇒ Array<String>
Optional.
-
#network ⇒ String
Optional.
-
#persistent_resource_id ⇒ 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 4054 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 3942 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 3950 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 3960 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 3968 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 property
experimentRun`
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3975 def experiment_run @experiment_run end |
#models ⇒ Array<String>
Optional. The name of the Model resources for which to generate a mapping to
artifact URIs. Applicable only to some of the Google-provided custom jobs.
Format: projects/
project/locations/
location/models/
model`In order to
retrieve a specific version of the model, also provide the version ID or
version alias. Example:
projects/project
/locations/location
/models/model
@2or
projects/project
/locations/location
/models/model
@goldenIf no
version ID or alias is specified, the "default" version will be returned. The "
default" version alias is created for the first version of the model, and can
be moved to other versions later on. There will be exactly one default version.
Corresponds to the JSON property
models`
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3988 def models @models 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`. Where
projectis 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](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 property
network`
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4001 def network @network end |
#persistent_resource_id ⇒ String
Optional. The ID of the PersistentResource in the same Project and Location
which to run If this is specified, the job will be run on existing machines
held by the PersistentResource instead of on-demand short-live machines. The
network and CMEK configs on the job should be consistent with those on the
PersistentResource, otherwise, the job will be rejected.
Corresponds to the JSON property persistentResourceId
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4010 def persistent_resource_id @persistent_resource_id 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 4017 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 4025 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 4030 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 4038 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 property
tensorboard`
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4045 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 4052 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 4059 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) @models = args[:models] if args.key?(:models) @network = args[:network] if args.key?(:network) @persistent_resource_id = args[:persistent_resource_id] if args.key?(:persistent_resource_id) @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 |