Vertex AI documentation is no longer being updated Vertex AI's services are now part of Gemini Enterprise Agent Platform. See the most up-to-date information in the Agent Platform documentation .
Send feedback
Method: tensorboards.readSize
Stay organized with collections
Save and categorize content based on your preferences.
Full name : projects.locations.tensorboards.readSize
Returns the storage size for a given TensorBoard instance.
Endpoint
get
https://{service-endpoint}/v1/{tensorboard}:readSize
Where {service-endpoint} is one of the supported service endpoints .
Path parameters
tensorboard
string
Required. The name of the Tensorboard resource. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}
Request body
The request body must be empty.
Response body
Response message for TensorboardService.ReadTensorboardSize
If successful, the response body contains data with the following structure:
Fields
storageSizeByte
string (int64 format)
Payload storage size for the TensorBoard
JSON representation
{
"storageSizeByte" : string
}
Send feedback
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-06-27 UTC.
Need to tell us more?
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-06-27 UTC."],[],[]]
