Method: projects.locations.tensorboards.experiments.runs.timeSeries.readBlobData

Gets bytes of TensorboardBlobs. This is to allow reading blob data stored in consumer project's Cloud Storage bucket without users having to obtain Cloud Storage access permission.

HTTP request

GET https://{service-endpoint}/v1beta1/{timeSeries}:readBlobData

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

Parameters
timeSeries

string

Required. The resource name of the TensorboardTimeSeries to list Blobs. Format: 'projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{timeSeries}'

Query parameters

Parameters
blobIds[]

string

IDs of the blobs to read.

Request body

The request body must be empty.

Response body

If successful, the response body contains data with the following structure:

Response message for TensorboardService.ReadTensorboardBlobData.

JSON representation
{
  "blobs": [
    {
      object (TensorboardBlob)
    }
  ]
}
Fields
blobs[]

object (TensorboardBlob)

Blob messages containing blob bytes.

Authorization Scopes

Requires the following OAuth scope:

  • https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the timeSeries resource:

  • aiplatform.tensorboardTimeSeries.read

For more information, see the IAM documentation.