def sample_write_tensorboard_run_data(): # Create a client client = aiplatform_v1beta1.TensorboardServiceClient() # Initialize request argument(s) time_series_data = aiplatform_v1beta1.TimeSeriesData() time_series_data.tensorboard_time_series_id = "tensorboard_time_series_id_value" time_series_data.value_type = "BLOB_SEQUENCE" request = aiplatform_v1beta1.WriteTensorboardRunDataRequest( tensorboard_run="tensorboard_run_value", time_series_data=time_series_data, ) # Make the request response = client.write_tensorboard_run_data(request=request) # Handle the response print(response)
async def sample_write_tensorboard_experiment_data(): # Create a client client = aiplatform_v1beta1.TensorboardServiceAsyncClient() # Initialize request argument(s) write_run_data_requests = aiplatform_v1beta1.WriteTensorboardRunDataRequest() write_run_data_requests.tensorboard_run = "tensorboard_run_value" write_run_data_requests.time_series_data.tensorboard_time_series_id = "tensorboard_time_series_id_value" write_run_data_requests.time_series_data.value_type = "BLOB_SEQUENCE" request = aiplatform_v1beta1.WriteTensorboardExperimentDataRequest( tensorboard_experiment="tensorboard_experiment_value", write_run_data_requests=write_run_data_requests, ) # Make the request response = await client.write_tensorboard_experiment_data(request=request) # Handle the response print(response)