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)