Class RuntimeConfig (1.81.0)

Version 1.81.0

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RuntimeConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The runtime config of a PipelineJob.

Attributes
Name	Description
parameters	MutableMapping[str, google.cloud.aiplatform_v1beta1.types.Value] 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.
gcs_output_directory	str Required. A path in a Cloud Storage bucket, which will be treated as the root output directory of the pipeline. It is used by the system to generate the paths of output artifacts. The artifact paths are generated with a sub-path pattern {job_id}/{task_id}/{output_key} under the specified output directory. The service account specified in this pipeline must have the storage.objects.get and storage.objects.create permissions for this bucket.
parameter_values	MutableMapping[str, google.protobuf.struct_pb2.Value] 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 2.1.0, such as pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2 DSL.
failure_policy	google.cloud.aiplatform_v1beta1.types.PipelineFailurePolicy Represents the failure policy of a pipeline. Currently, the default of a pipeline is that the pipeline will continue to run until no more tasks can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW. However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it will stop scheduling any new tasks when a task has failed. Any scheduled tasks will continue to completion.
input_artifacts	MutableMapping[str, google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.InputArtifact] The runtime artifacts of the PipelineJob. The key will be the input artifact name and the value would be one of the InputArtifact.
default_runtime	google.cloud.aiplatform_v1beta1.types.PipelineJob.RuntimeConfig.DefaultRuntime Optional. The default runtime for the PipelineJob. If not provided, Vertex Custom Job(on demand) is used as the runtime. For Vertex Custom Job, please refer to https://cloud.google.com/vertex-ai/docs/training/overview.

Classes

DefaultRuntime

DefaultRuntime(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The default runtime for the PipelineJob.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

InputArtifact

InputArtifact(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The type of an input artifact.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

InputArtifactsEntry

InputArtifactsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, .Message] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

ParameterValuesEntry

ParameterValuesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, .Message] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

ParametersEntry

ParametersEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, .Message] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

PersistentResourceRuntimeDetail

PersistentResourceRuntimeDetail(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Persistent resource based runtime detail. For more information, refer to https://cloud.google.com/vertex-ai/docs/training/persistent-resource-overview

Methods

RuntimeConfig

RuntimeConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The runtime config of a PipelineJob.