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RuntimeConfig
(
mapping
=
None
,
*
,
ignore_unknown_fields
=
False
,
**
kwargs
)
The runtime config of a PipelineJob.
Attributes
parameters
MutableMapping[str, google.cloud.aiplatform_v1.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_v1.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_v1.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.
Classes
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.
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.
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.
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.
Methods
RuntimeConfig
RuntimeConfig
(
mapping
=
None
,
*
,
ignore_unknown_fields
=
False
,
**
kwargs
)
The runtime config of a PipelineJob.
