Method: projects.locations.tensorboards.experiments.batchCreate

Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.

Endpoint

post https://{service-endpoint}/v1beta1/{parent}:batchCreate

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

Path parameters

parent string

Required. The resource name of the TensorboardExperiment to create the TensorboardTimeSeries in. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment} The TensorboardRuns referenced by the parent fields in the CreateTensorboardTimeSeriesRequest messages must be sub resources of this TensorboardExperiment.

Request body

The request body contains data with the following structure:

Fields
requests[] object (CreateTensorboardTimeSeriesRequest)

Required. The request message specifying the TensorboardTimeSeries to create. A maximum of 1000 TensorboardTimeSeries can be created in a batch.

Response body

Response message for TensorboardService.BatchCreateTensorboardTimeSeries.

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

Fields
tensorboardTimeSeries[] object (TensorboardTimeSeries)

The created TensorboardTimeSeries.

JSON representation 
{
  "tensorboardTimeSeries": [
    {
      object (TensorboardTimeSeries)
    }
  ]
}

CreateTensorboardTimeSeriesRequest

Request message for TensorboardService.CreateTensorboardTimeSeries.

Fields
parent string

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

tensorboardTimeSeriesId string

Optional. The user specified unique id to use for the TensorboardTimeSeries, which becomes the final component of the TensorboardTimeSeries's resource name. This value should match "[a-z0-9][a-z0-9-]{0, 127}"

tensorboardTimeSeries object (TensorboardTimeSeries)

Required. The TensorboardTimeSeries to create.

JSON representation 
{
  "parent": string,
  "tensorboardTimeSeriesId": string,
  "tensorboardTimeSeries": {
    object (TensorboardTimeSeries)
  }
}