Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window.

Method: projects.locations.tensorboards.experiments.runs.get

Gets a TensorboardRun.

HTTP request

GET https://{service-endpoint}/v1/{name}

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

Path parameters

Parameters

Parameters
`name`	`string` Required. The name of the TensorboardRun resource. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`

name

string

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

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of TensorboardRun.

Authorization scopes

Requires one of the following OAuth scopes:

https://www.googleapis.com/auth/cloud-platform
https://www.googleapis.com/auth/cloud-platform.read-only

For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the name resource:

aiplatform.tensorboardRuns.get

For more information, see the IAM documentation.