Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::ExportModelRequest::OutputConfig (v0.50.0)

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

Output configuration for the Model export.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#artifact_destination

def artifact_destination() -> ::Google::Cloud::AIPlatform::V1::GcsDestination
Returns
  • (::Google::Cloud::AIPlatform::V1::GcsDestination) — The Cloud Storage location where the Model artifact is to be written to. Under the directory given as the destination a new one with name "model-export-<model-display-name>-<timestamp-of-export-call>", where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format, will be created. Inside, the Model and any of its supporting files will be written. This field should only be set when the exportableContent field of the [Model.supported_export_formats] object contains ARTIFACT.

#artifact_destination=

def artifact_destination=(value) -> ::Google::Cloud::AIPlatform::V1::GcsDestination
Parameter
  • value (::Google::Cloud::AIPlatform::V1::GcsDestination) — The Cloud Storage location where the Model artifact is to be written to. Under the directory given as the destination a new one with name "model-export-<model-display-name>-<timestamp-of-export-call>", where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format, will be created. Inside, the Model and any of its supporting files will be written. This field should only be set when the exportableContent field of the [Model.supported_export_formats] object contains ARTIFACT.
Returns
  • (::Google::Cloud::AIPlatform::V1::GcsDestination) — The Cloud Storage location where the Model artifact is to be written to. Under the directory given as the destination a new one with name "model-export-<model-display-name>-<timestamp-of-export-call>", where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format, will be created. Inside, the Model and any of its supporting files will be written. This field should only be set when the exportableContent field of the [Model.supported_export_formats] object contains ARTIFACT.

#export_format_id

def export_format_id() -> ::String
Returns
  • (::String) — The ID of the format in which the Model must be exported. Each Model lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If no value is provided here, then the first from the list of the Model's supported formats is used by default.

#export_format_id=

def export_format_id=(value) -> ::String
Parameter
  • value (::String) — The ID of the format in which the Model must be exported. Each Model lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If no value is provided here, then the first from the list of the Model's supported formats is used by default.
Returns
  • (::String) — The ID of the format in which the Model must be exported. Each Model lists the [export formats it supports][google.cloud.aiplatform.v1.Model.supported_export_formats]. If no value is provided here, then the first from the list of the Model's supported formats is used by default.

#image_destination

def image_destination() -> ::Google::Cloud::AIPlatform::V1::ContainerRegistryDestination
Returns

#image_destination=

def image_destination=(value) -> ::Google::Cloud::AIPlatform::V1::ContainerRegistryDestination
Parameter
  • value (::Google::Cloud::AIPlatform::V1::ContainerRegistryDestination) — The Google Container Registry or Artifact Registry uri where the Model container image will be copied to. This field should only be set when the exportableContent field of the [Model.supported_export_formats] object contains IMAGE.
Returns