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.



3012
3013
3014
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3012

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:



2920
2921
2922
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2920

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) 


2928
2929
2930
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2928

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) 


2938
2939
2940
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2938

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) 


2946
2947
2948
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2946

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) 


2953
2954
2955
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2953

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) 


2966
2967
2968
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2966

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) 


2975
2976
2977
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2975

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>) 


2983
2984
2985
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2983

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:



2988
2989
2990
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2988

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) 


2996
2997
2998
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 2996

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) 


3003
3004
3005
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3003

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:



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

def worker_pool_specs
  @worker_pool_specs
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



3017
3018
3019
3020
3021
3022
3023
3024
3025
3026
3027
3028
3029
3030
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3017

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