Call the UpdateTensorboard API to update a TensorBoard - Platform For AI UpdateTensorboard

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RAM authorization

The table below describes the authorization required to call this API. You can define it in a Resource Access Management (RAM) policy. The table's columns are detailed below:

Action: The actions can be used in the Action element of RAM permission policy statements to grant permissions to perform the operation.
API: The API that you can call to perform the action.
Access level: The predefined level of access granted for each API. Valid values: create, list, get, update, and delete.
Resource type: The type of the resource that supports authorization to perform the action. It indicates if the action supports resource-level permission. The specified resource must be compatible with the action. Otherwise, the policy will be ineffective.
- For APIs with resource-level permissions, required resource types are marked with an asterisk (*). Specify the corresponding Alibaba Cloud Resource Name (ARN) in the Resource element of the policy.
- For APIs without resource-level permissions, it is shown as All Resources. Use an asterisk (*) in the Resource element of the policy.
Condition key: The condition keys defined by the service. The key allows for granular control, applying to either actions alone or actions associated with specific resources. In addition to service-specific condition keys, Alibaba Cloud provides a set of common condition keys applicable across all RAM-supported services.
Dependent action: The dependent actions required to run the action. To complete the action, the RAM user or the RAM role must have the permissions to perform all dependent actions.

Action

Access level

Resource type

Condition key

Dependent action

paidlc:UpdateTensorboard

update

*All Resource

*

None

Request syntax

PUT /api/v1/tensorboards/{TensorboardId} HTTP/1.1

Path Parameters

Parameter	Type	Required	Description	Example
TensorboardId	string	Yes	Tensorboard ID. For more information about how to get a Tensorboard ID, see ListTensorboards.	tensorboard-20210114104214-vf9lowjt3pso

Request parameters

Parameter	Type	Required	Description	Example
WorkspaceId	string	No	Workspace ID. For more information about how to get a workspace ID, see ListWorkspaces.	380
MaxRunningTimeMinutes	integer	No	Maximum runtime. Unit: minutes.	300
Accessibility	string	No	Visibility of the task. Valid values: PUBLIC: Visible to all users in this workspace. PRIVATE: Visible only to you and administrators in this workspace.	PRIVATE
Priority	string	No

Response elements

Element	Type	Description	Example
	object
TensorboardId	string	Tensorboard ID.	tensorboard-20210114104214-xxxxxxxx
RequestId	string	Request ID.	473469C7-AA6F-4DC5-B3DB-A3DC0DE3C83E

Examples

Success response

JSON format

{
  "TensorboardId": "tensorboard-20210114104214-xxxxxxxx",
  "RequestId": "473469C7-AA6F-4DC5-B3DB-A3DC0DE3C83E"
}

Error codes

See Error Codes for a complete list.

Release notes

See Release Notes for a complete list.