def sample_update_tensorboard_run(): # Create a client client = aiplatform_v1.TensorboardServiceClient() # Initialize request argument(s) tensorboard_run = aiplatform_v1.TensorboardRun() tensorboard_run.display_name = "display_name_value" request = aiplatform_v1.UpdateTensorboardRunRequest( tensorboard_run=tensorboard_run, ) # Make the request response = client.update_tensorboard_run(request=request) # Handle the response print(response)
async def sample_create_tensorboard_run(): # Create a client client = aiplatform_v1.TensorboardServiceAsyncClient() # Initialize request argument(s) tensorboard_run = aiplatform_v1.TensorboardRun() tensorboard_run.display_name = "display_name_value" request = aiplatform_v1.CreateTensorboardRunRequest( parent="parent_value", tensorboard_run=tensorboard_run, tensorboard_run_id="tensorboard_run_id_value", ) # Make the request response = await client.create_tensorboard_run(request=request) # Handle the response print(response)