Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJobSpec

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Represents the spec of a CustomJob.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1CustomJobSpec

Returns a new instance of GoogleCloudAiplatformV1beta1CustomJobSpec.



3010
3011
3012
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3010

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#base_output_directory ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GcsDestination

The Google Cloud Storage location where the output is to be written to. Corresponds to the JSON property baseOutputDirectory

Returns:



2918
2919
2920
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2918

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) 


2926
2927
2928
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2926

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) 


2936
2937
2938
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2936

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) 


2944
2945
2946
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2944

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) 


2951
2952
2953
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2951

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) 


2964
2965
2966
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2964

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

Returns:

  • (String) 


2973
2974
2975
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2973

def persistent_resource_id
  @persistent_resource_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

Returns:

  • (Array<String>) 


2981
2982
2983
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2981

def reserved_ip_ranges
  @reserved_ip_ranges
end

#scheduling ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Scheduling

All parameters related to queuing and scheduling of custom jobs. Corresponds to the JSON property scheduling

Returns:



2986
2987
2988
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2986

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) 


2994
2995
2996
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2994

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) 


3001
3002
3003
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3001

def tensorboard
  @tensorboard
end

#worker_pool_specs ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WorkerPoolSpec>

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:



3008
3009
3010
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3008

def worker_pool_specs
  @worker_pool_specs
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



3015
3016
3017
3018
3019
3020
3021
3022
3023
3024
3025
3026
3027
3028
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3015

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)
  @persistent_resource_id = args[:persistent_resource_id] if args.key?(:persistent_resource_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