trains_task.started()

each consumer in different container

is it the same?

is it the same?

it started and then ended

so if i plot image with matplot lib..it would not upload? i need use the logger.

Ok, so it is master node and not consumer producer pattern..

os.environ['TRAINS_PROC_MASTER_ID'] = args.trains_id os.environ['OMPI_COMM_WORLD_NODE_RANK'] = str(randint(0, sys.maxsize)) trains_task = trains.Task.init(project_name=f'{ALG_NAME}-inference', task_name='inference') print(type(trains_task))<class 'trains.task.Task.init.<locals>._TaskStub'>

ValueError: Task object can only be updated if created or in_progress

so how can i make it run with the "auto magic"

i do not have another task

yes...

the data is private..we are taking it privately

3d mesh

how can I pass to task_init the task_id? should it also be in some env?

failed on init

Thanks ! I will try!

i mean something like:
https://github.com/mikedh/trimesh/issues/526

hhhhmm..then i can not get master task params

Thanks!

should OMPI_COMM_WORLD_NODE_RANK be number or can be some guid?

so if i load task and not init it..so it is not the main one?

i get subtask

args = parser.parse_args() os.environ['TRAINS_PROC_MASTER_ID'] = f"1:{args.trains_id}" os.environ['OMPI_COMM_WORLD_NODE_RANK'] = str(randint(0, sys.maxsize)) trains_task = trains.Task.init(project_name=f'{ALG_NAME}-inference', task_name='inference')failes on init