Method: projects.locations.tensorboards.batchRead

Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, 100 for tensors and blob references. If the number of data points stored is less than the limit, all data is returned. Otherwise, the number limit of data points is randomly selected from this time series and returned.

HTTP request

GET https://{service-endpoint}/v1/{tensorboard}:batchRead

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

Path parameters



Required. The resource name of the Tensorboard containing TensorboardTimeSeries to read data from. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}. The TensorboardTimeSeries referenced by timeSeries must be sub resources of this Tensorboard.

Query parameters



Required. The resource names of the TensorboardTimeSeries to read data from. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{timeSeries}

Request body

The request body must be empty.

Response body

Response message for TensorboardService.BatchReadTensorboardTimeSeriesData.

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

JSON representation
  "timeSeriesData": [
      object (TimeSeriesData)

object (TimeSeriesData)

The returned time series data.

Authorization scopes

Requires the following OAuth scope:


For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the tensorboard resource:

  • aiplatform.tensorboardTimeSeries.batchRead

For more information, see the IAM documentation.