Method: googleapis.aiplatform.v1beta1.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.

Arguments

Parameters
tensorboard

string

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

string

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

string

Required. Region of the HTTP endpoint. For example, if region is set to us-central1, the endpoint https://us-central1-integrations.googleapis.com will be used. See service endpoints.

Raised exceptions

Exceptions
ConnectionError In case of a network problem (such as DNS failure or refused connection).
HttpError If the response status is >= 400 (excluding 429 and 503).
TimeoutError If a long-running operation takes longer to finish than the specified timeout limit.
TypeError If an operation or function receives an argument of the wrong type.
ValueError If an operation or function receives an argument of the right type but an inappropriate value. For example, a negative timeout.

Response

If successful, the response contains an instance of GoogleCloudAiplatformV1beta1BatchReadTensorboardTimeSeriesDataResponse.

Subworkflow snippet

Some fields might be optional or required. To identify required fields, refer to the API documentation.

YAML

- batchRead:
    call: googleapis.aiplatform.v1beta1.projects.locations.tensorboards.batchRead
    args:
        tensorboard: ...
        timeSeries: ...
        region: ...
    result: batchReadResult

JSON

[
  {
    "batchRead": {
      "call": "googleapis.aiplatform.v1beta1.projects.locations.tensorboards.batchRead",
      "args": {
        "tensorboard": "...",
        "timeSeries": "...",
        "region": "..."
      },
      "result": "batchReadResult"
    }
  }
]