Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJobSpec

Inherits:
Object
  • Object
show all
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

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1CustomJobSpec

Returns a new instance of GoogleCloudAiplatformV1CustomJobSpec.



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2809

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

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2726

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

Returns:

  • (Boolean) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2734

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

Returns:

  • (Boolean) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2744

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

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2752

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`

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2759

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`

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2772

def network
  @network
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

Returns:

  • (Array<String>) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2780

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

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2785

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

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2793

def 
  @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`

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2800

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

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 2807

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 2814

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)
  @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