Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::PipelineJob::RuntimeConfig (v0.22.0)

Version 0.22.0

• 0.61.0 (latest)
• 0.60.0
• 0.59.0
• 0.58.0
• 0.57.0
• 0.56.0
• 0.55.0
• 0.54.0
• 0.53.0
• 0.52.0
• 0.51.0
• 0.50.0
• 0.49.0
• 0.48.0
• 0.47.0
• 0.46.0
• 0.45.0
• 0.44.0
• 0.43.0
• 0.42.0
• 0.41.0
• 0.40.0
• 0.39.0
• 0.38.0
• 0.37.0
• 0.36.0
• 0.35.0
• 0.34.0
• 0.33.0
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.0
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.0
• 0.19.0
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.14.0
• 0.13.0
• 0.12.0
• 0.11.0
• 0.10.0
• 0.9.1
• 0.8.0
• 0.7.0
• 0.6.0
• 0.5.0
• 0.4.0
• 0.3.0
• 0.2.0
• 0.1.0

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::PipelineJob::RuntimeConfig.

The runtime config of a PipelineJob.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#failure_policy

def failure_policy() -> ::Google::Cloud::AIPlatform::V1::PipelineFailurePolicy

Returns

• (::Google::Cloud::AIPlatform::V1::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.

#failure_policy=

def failure_policy=(value) -> ::Google::Cloud::AIPlatform::V1::PipelineFailurePolicy

Parameter

• value (::Google::Cloud::AIPlatform::V1::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.

Returns

• (::Google::Cloud::AIPlatform::V1::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.

#gcs_output_directory

def gcs_output_directory() -> ::String

Returns

• (::String) — 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.

#gcs_output_directory=

def gcs_output_directory=(value) -> ::String

Parameter

• value (::String) — 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.

Returns

• (::String) — 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.

#input_artifacts

def input_artifacts() -> ::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::PipelineJob::RuntimeConfig::InputArtifact}

Returns

• (::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::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.

#input_artifacts=

def input_artifacts=(value) -> ::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::PipelineJob::RuntimeConfig::InputArtifact}

Parameter

• value (::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::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.

Returns

• (::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::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.

#parameter_values

def parameter_values() -> ::Google::Protobuf::Map{::String => ::Google::Protobuf::Value}

Returns

• (::Google::Protobuf::Map{::String => ::Google::Protobuf::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.

#parameter_values=

def parameter_values=(value) -> ::Google::Protobuf::Map{::String => ::Google::Protobuf::Value}

Parameter

• value (::Google::Protobuf::Map{::String => ::Google::Protobuf::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.

Returns

• (::Google::Protobuf::Map{::String => ::Google::Protobuf::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.

#parameters

def parameters() -> ::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::Value}

Returns

• (::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::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.

#parameters=

def parameters=(value) -> ::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::Value}

Parameter

• value (::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::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.

Returns

• (::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::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.