def sample_create_tensorboard_run():
# Create a client
client = aiplatform_v1beta1.TensorboardServiceClient()
# Initialize request argument(s)
tensorboard_run = aiplatform_v1beta1.TensorboardRun()
tensorboard_run.display_name = "display_name_value"
request = aiplatform_v1beta1.CreateTensorboardRunRequest(
parent="parent_value",
tensorboard_run=tensorboard_run,
tensorboard_run_id="tensorboard_run_id_value",
)
# Make the request
response = client.create_tensorboard_run(request=request)
# Handle the response
print(response)
async def sample_batch_create_tensorboard_runs():
# Create a client
client = aiplatform_v1beta1.TensorboardServiceAsyncClient()
# Initialize request argument(s)
requests = aiplatform_v1beta1.CreateTensorboardRunRequest()
requests.parent = "parent_value"
requests.tensorboard_run.display_name = "display_name_value"
requests.tensorboard_run_id = "tensorboard_run_id_value"
request = aiplatform_v1beta1.BatchCreateTensorboardRunsRequest(
parent="parent_value",
requests=requests,
)
# Make the request
response = await client.batch_create_tensorboard_runs(request=request)
# Handle the response
print(response)