Class: Google::Cloud::AIPlatform::V1::PipelineJob::RuntimeConfig

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

Overview

The runtime config of a PipelineJob.

Defined Under Namespace

Classes: InputArtifact, InputArtifactsEntry, ParameterValuesEntry, ParametersEntry

Instance Attribute Summary collapse

Instance Attribute Details

#failure_policy ⇒ ::Google::Cloud::AIPlatform::V1::PipelineFailurePolicy 



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# File 'proto_docs/google/cloud/aiplatform/v1/pipeline_job.rb', line 181

class RuntimeConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The type of an input artifact.
  # @!attribute [rw] artifact_id
  #   @return [::String]
  #     Artifact resource id from MLMD. Which is the last portion of an
  #     artifact resource name:
  #     `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`.
  #     The artifact must stay within the same project, location and default
  #     metadatastore as the pipeline.
  class InputArtifact
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::Value]
  class ParametersEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Protobuf::Value]
  class ParameterValuesEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::PipelineJob::RuntimeConfig::InputArtifact]
  class InputArtifactsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#gcs_output_directory ⇒ ::String 



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# File 'proto_docs/google/cloud/aiplatform/v1/pipeline_job.rb', line 181

class RuntimeConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The type of an input artifact.
  # @!attribute [rw] artifact_id
  #   @return [::String]
  #     Artifact resource id from MLMD. Which is the last portion of an
  #     artifact resource name:
  #     `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`.
  #     The artifact must stay within the same project, location and default
  #     metadatastore as the pipeline.
  class InputArtifact
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::Value]
  class ParametersEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Protobuf::Value]
  class ParameterValuesEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::PipelineJob::RuntimeConfig::InputArtifact]
  class InputArtifactsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#input_artifacts ⇒ ::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::PipelineJob::RuntimeConfig::InputArtifact} 



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# File 'proto_docs/google/cloud/aiplatform/v1/pipeline_job.rb', line 181

class RuntimeConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The type of an input artifact.
  # @!attribute [rw] artifact_id
  #   @return [::String]
  #     Artifact resource id from MLMD. Which is the last portion of an
  #     artifact resource name:
  #     `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`.
  #     The artifact must stay within the same project, location and default
  #     metadatastore as the pipeline.
  class InputArtifact
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::Value]
  class ParametersEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Protobuf::Value]
  class ParameterValuesEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::PipelineJob::RuntimeConfig::InputArtifact]
  class InputArtifactsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#parameter_values ⇒ ::Google::Protobuf::Map{::String => ::Google::Protobuf::Value} 



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# File 'proto_docs/google/cloud/aiplatform/v1/pipeline_job.rb', line 181

class RuntimeConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The type of an input artifact.
  # @!attribute [rw] artifact_id
  #   @return [::String]
  #     Artifact resource id from MLMD. Which is the last portion of an
  #     artifact resource name:
  #     `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`.
  #     The artifact must stay within the same project, location and default
  #     metadatastore as the pipeline.
  class InputArtifact
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::Value]
  class ParametersEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Protobuf::Value]
  class ParameterValuesEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::PipelineJob::RuntimeConfig::InputArtifact]
  class InputArtifactsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#parameters ⇒ ::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::Value}

Deprecated.

This field is deprecated and may be removed in the next major version update.

Returns Deprecated. Use RuntimeConfig.parameter_values instead. The runtime parameters of the PipelineJob. The parameters will be passed into PipelineJob.pipeline_spec to replace the placeholders at runtime. This field is used by pipelines built using PipelineJob.pipeline_spec.schema_version 2.0.0 or lower, such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower.



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# File 'proto_docs/google/cloud/aiplatform/v1/pipeline_job.rb', line 181

class RuntimeConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # The type of an input artifact.
  # @!attribute [rw] artifact_id
  #   @return [::String]
  #     Artifact resource id from MLMD. Which is the last portion of an
  #     artifact resource name:
  #     `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`.
  #     The artifact must stay within the same project, location and default
  #     metadatastore as the pipeline.
  class InputArtifact
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::Value]
  class ParametersEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Protobuf::Value]
  class ParameterValuesEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::PipelineJob::RuntimeConfig::InputArtifact]
  class InputArtifactsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end