Method: googleapis.aiplatform.v1.projects.locations.tensorboards.experiments.runs.write

Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If any data fail to be ingested, an error is returned.

Arguments

Parameters
tensorboardRun

string

Required. The resource name of the TensorboardRun to write data to. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
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.
body

object (GoogleCloudAiplatformV1WriteTensorboardRunDataRequest)

Required.

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 will be empty.

Subworkflow snippet

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

YAML

- write:
    call: googleapis.aiplatform.v1.projects.locations.tensorboards.experiments.runs.write
    args:
        tensorboardRun: ...
        region: ...
        body:
            tensorboardRun: ...
            timeSeriesData: ...
    result: writeResult

JSON

[
  {
    "write": {
      "call": "googleapis.aiplatform.v1.projects.locations.tensorboards.experiments.runs.write",
      "args": {
        "tensorboardRun": "...",
        "region": "...",
        "body": {
          "tensorboardRun": "...",
          "timeSeriesData": "..."
        }
      },
      "result": "writeResult"
    }
  }
]