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.

Endpoint

get https://{endpoint}/v1/{timeSeries}:readBlobData

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

Path 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

blobIds[] string

IDs of the blobs to read.

Request body

The request body must be empty.

Response body

Response message for TensorboardService.ReadTensorboardBlobData.

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

Fields
blobs[] object (TensorboardBlob)

blob messages containing blob bytes.

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