def handle_distributed_coach_tasks(graph_manager, args, task_parameters):
ckpt_inside_container = "/checkpoint"
memory_backend_params = None
if args.memory_backend_params:
memory_backend_params = json.loads(args.memory_backend_params)
memory_backend_params['run_type'] = str(
args.distributed_coach_run_type)
graph_manager.agent_params.memory.register_var(
'memory_backend_params',
construct_memory_params(memory_backend_params))
data_store = None
data_store_params = None
if args.data_store_params:
data_store_params = construct_data_store_params(
json.loads(args.data_store_params))
data_store_params.expt_dir = args.experiment_path
data_store_params.checkpoint_dir = ckpt_inside_container
graph_manager.data_store_params = data_store_params
data_store = get_data_store(data_store_params)
if args.distributed_coach_run_type == RunType.TRAINER:
task_parameters.checkpoint_save_dir = ckpt_inside_container
training_worker(graph_manager=graph_manager,
data_store=data_store,
task_parameters=task_parameters,
is_multi_node_test=args.is_multi_node_test)
if args.distributed_coach_run_type == RunType.ROLLOUT_WORKER:
rollout_worker(graph_manager=graph_manager,
data_store=data_store,
num_workers=args.num_workers,
task_parameters=task_parameters)
def handle_distributed_coach_tasks(graph_manager, args):
ckpt_inside_container = "/checkpoint"
memory_backend_params = None
if args.memory_backend_params:
memory_backend_params = json.loads(args.memory_backend_params)
memory_backend_params['run_type'] = str(args.distributed_coach_run_type)
graph_manager.agent_params.memory.register_var('memory_backend_params', construct_memory_params(memory_backend_params))
data_store_params = None
if args.data_store_params:
data_store_params = construct_data_store_params(json.loads(args.data_store_params))
data_store_params.checkpoint_dir = ckpt_inside_container
graph_manager.data_store_params = data_store_params
if args.distributed_coach_run_type == RunType.TRAINER:
training_worker(
graph_manager=graph_manager,
checkpoint_dir=ckpt_inside_container
)
if args.distributed_coach_run_type == RunType.ROLLOUT_WORKER:
data_store = None
if args.data_store_params:
data_store = get_data_store(data_store_params)
wait_for_checkpoint(checkpoint_dir=ckpt_inside_container, data_store=data_store)
rollout_worker(
graph_manager=graph_manager,
checkpoint_dir=ckpt_inside_container,
data_store=data_store,
num_workers=args.num_workers
)