Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::UpdateTensorboardRunRequest.
Request message for TensorboardService.UpdateTensorboardRun.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#tensorboard_run
def tensorboard_run() -> ::Google::Cloud::AIPlatform::V1::TensorboardRun
Returns
-
(::Google::Cloud::AIPlatform::V1::TensorboardRun) — Required. The TensorboardRun's
name
field is used to identify the TensorboardRun to be updated. Format:projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
#tensorboard_run=
def tensorboard_run=(value) -> ::Google::Cloud::AIPlatform::V1::TensorboardRun
Parameter
-
value (::Google::Cloud::AIPlatform::V1::TensorboardRun) — Required. The TensorboardRun's
name
field is used to identify the TensorboardRun to be updated. Format:projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
Returns
-
(::Google::Cloud::AIPlatform::V1::TensorboardRun) — Required. The TensorboardRun's
name
field is used to identify the TensorboardRun to be updated. Format:projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
#update_mask
def update_mask() -> ::Google::Protobuf::FieldMask
Returns
- (::Google::Protobuf::FieldMask) — Required. Field mask is used to specify the fields to be overwritten in the TensorboardRun resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten if new values are specified.
#update_mask=
def update_mask=(value) -> ::Google::Protobuf::FieldMask
Parameter
- value (::Google::Protobuf::FieldMask) — Required. Field mask is used to specify the fields to be overwritten in the TensorboardRun resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten if new values are specified.
Returns
- (::Google::Protobuf::FieldMask) — Required. Field mask is used to specify the fields to be overwritten in the TensorboardRun resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then all fields will be overwritten if new values are specified.