Class: Google::Cloud::AIPlatform::V1::CustomJobSpec

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/aiplatform/v1/custom_job.rb

Overview

Represents the spec of a CustomJob.

Instance Attribute Summary collapse

Instance Attribute Details

#base_output_directory ⇒ ::Google::Cloud::AIPlatform::V1::GcsDestination

Returns The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory.

The following Vertex AI environment variables will be passed to containers or python modules when this field is set:

For CustomJob:

  • AIP_MODEL_DIR = <base_output_directory>/model/
  • AIP_CHECKPOINT_DIR = <base_output_directory>/checkpoints/
  • AIP_TENSORBOARD_LOG_DIR = <base_output_directory>/logs/

For CustomJob backing a Trial of HyperparameterTuningJob:

  • AIP_MODEL_DIR = <base_output_directory>/<trial_id>/model/
  • AIP_CHECKPOINT_DIR = <base_output_directory>/<trial_id>/checkpoints/
  • AIP_TENSORBOARD_LOG_DIR = <base_output_directory>/<trial_id>/logs/.

Returns:

  • (::Google::Cloud::AIPlatform::V1::GcsDestination) —

    The Cloud Storage location to store the output of this CustomJob or HyperparameterTuningJob. For HyperparameterTuningJob, the baseOutputDirectory of each child CustomJob backing a Trial is set to a subdirectory of name id under its parent HyperparameterTuningJob's baseOutputDirectory.

    The following Vertex AI environment variables will be passed to containers or python modules when this field is set:

    For CustomJob:

    • AIP_MODEL_DIR = <base_output_directory>/model/
    • AIP_CHECKPOINT_DIR = <base_output_directory>/checkpoints/
    • AIP_TENSORBOARD_LOG_DIR = <base_output_directory>/logs/

    For CustomJob backing a Trial of HyperparameterTuningJob:

    • AIP_MODEL_DIR = <base_output_directory>/<trial_id>/model/
    • AIP_CHECKPOINT_DIR = <base_output_directory>/<trial_id>/checkpoints/
    • AIP_TENSORBOARD_LOG_DIR = <base_output_directory>/<trial_id>/logs/


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# File 'proto_docs/google/cloud/aiplatform/v1/custom_job.rb', line 189

class CustomJobSpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#enable_web_access ⇒ ::Boolean

Returns 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).

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/custom_job.rb', line 189

class CustomJobSpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#network ⇒ ::String

Returns 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 {project} is 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.

If this field is left unspecified, the job is not peered with any network.

Returns:

  • (::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 {project} is 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.

    If this field is left unspecified, the job is not peered with any network.



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# File 'proto_docs/google/cloud/aiplatform/v1/custom_job.rb', line 189

class CustomJobSpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#reserved_ip_ranges ⇒ ::Array<::String>

Returns 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'].

Returns:

  • (::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'].



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# File 'proto_docs/google/cloud/aiplatform/v1/custom_job.rb', line 189

class CustomJobSpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#scheduling ⇒ ::Google::Cloud::AIPlatform::V1::Scheduling

Returns Scheduling options for a CustomJob.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/custom_job.rb', line 189

class CustomJobSpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#service_account ⇒ ::String

Returns 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.

Returns:

  • (::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.



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# File 'proto_docs/google/cloud/aiplatform/v1/custom_job.rb', line 189

class CustomJobSpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#tensorboard ⇒ ::String

Returns Optional. The name of a Vertex AI Tensorboard resource to which this CustomJob will upload Tensorboard logs. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}.

Returns:

  • (::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}



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# File 'proto_docs/google/cloud/aiplatform/v1/custom_job.rb', line 189

class CustomJobSpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#worker_pool_specs ⇒ ::Array<::Google::Cloud::AIPlatform::V1::WorkerPoolSpec>

Returns 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.

Returns:

  • (::Array<::Google::Cloud::AIPlatform::V1::WorkerPoolSpec>) —

    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.



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# File 'proto_docs/google/cloud/aiplatform/v1/custom_job.rb', line 189

class CustomJobSpec
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end