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fix(evaluator): auto-init gloo process group for multi-rank launches #1306

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fix(evaluator): auto-init gloo process group for multi-rank launches #1306

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10 changes: 10 additions & 0 deletions lmms_eval/evaluator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -862,6 +862,16 @@ def evaluate(
local_rank = int(os.environ.get("LOCAL_RANK", 0))
global_rank = int(os.environ.get("RANK", 0))
world_size = int(os.environ.get("WORLD_SIZE", 1))

# Auto-init torch.distributed for multi-rank launches where the model
# backend did not call init_process_group itself (e.g. image/video
# generation models using diffusers). Without this, evaluator collectives
# like gather_object / barrier crash with "process group not initialized".
# gloo is used because it requires no GPU and works everywhere.
if world_size > 1 and dist.is_available() and not dist.is_initialized():
dist.init_process_group(backend="gloo")
eval_logger.info(f"evaluator: auto-initialized gloo process group (world={world_size})")

eval_logger.info(f"Running on rank {global_rank} (local rank {local_rank})")

def _infer_task_request_type(task_obj: Task) -> Optional[str]:
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