Google Cloud Ai Platform V1 Client - Class UpdateTensorboardRunRequest (0.20.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class UpdateTensorboardRunRequest.

Request message for TensorboardService.UpdateTensorboardRun.

Generated from protobuf message google.cloud.aiplatform.v1.UpdateTensorboardRunRequest

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
NameDescription
data array

Optional. Data for populating the Message object.

↳ update_mask 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 is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified.

↳ tensorboard_run 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}

getUpdateMask

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 is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified.

Returns
TypeDescription
Google\Protobuf\FieldMask|null

hasUpdateMask

clearUpdateMask

setUpdateMask

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 is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified.

Parameter
NameDescription
var Google\Protobuf\FieldMask
Returns
TypeDescription
$this

getTensorboardRun

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
TypeDescription
Google\Cloud\AIPlatform\V1\TensorboardRun|null

hasTensorboardRun

clearTensorboardRun

setTensorboardRun

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}

Parameter
NameDescription
var Google\Cloud\AIPlatform\V1\TensorboardRun
Returns
TypeDescription
$this

static::build

Parameters
NameDescription
tensorboardRun 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}

updateMask 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 is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified.

Returns
TypeDescription
Google\Cloud\AIPlatform\V1\UpdateTensorboardRunRequest