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model_management: close free_memory/cleanup_models finalizer race
Pin the patcher (model = shift_model.model; continue if None) in both free_memory loops so a reentrant cleanup_models, popping current_loaded_models mid-iteration, cannot leave shift_model.model None for the is_dynamic()/model_unload path. Remove unloaded entries by identity (model is None post-unload, so LoadedModel.__eq__ is unsafe), tolerating an entry a finalizer already popped. Guard the real_model deref in is_dead() and cleanup_models(): real_model is the plain None from __init__ until model_load(), so an entry observed pre-load makes real_model() a None() call. cleanup_models() also removes by identity, mirroring free_memory, and tolerates reentrant pops.
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@ -765,7 +765,9 @@ class LoadedModel:
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self._patcher_finalizer.detach()
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def is_dead(self):
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return self.real_model() is not None and self.model is None
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# real_model is plain None until model_load(); guard so a pre-load entry can't raise.
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rm = self.real_model
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return rm is not None and rm() is not None and self.model is None
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def use_more_memory(extra_memory, loaded_models, device):
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@ -808,35 +810,38 @@ def free_memory(memory_required, device, keep_loaded=[], for_dynamic=False, pins
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for i in range(len(current_loaded_models) -1, -1, -1):
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shift_model = current_loaded_models[i]
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# Pin the patcher; LoadedModel.model is a weakref deref a mid-loop finalizer can None.
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model = shift_model.model
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if model is None:
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continue
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if device is None or shift_model.device == device:
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if shift_model not in keep_loaded and not shift_model.is_dead():
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# Carry the LoadedModel object, not its index: model_unload() can drop the last
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# reference to a real_model, whose weakref.finalize fires cleanup_models()
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# reentrantly and pops current_loaded_models mid-loop, leaving a cached index stale.
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# i stays only as a unique sort tiebreaker (LoadedModels aren't orderable).
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can_unload.append((-shift_model.model_offloaded_memory(), sys.getrefcount(shift_model.model), shift_model.model_memory(), i, shift_model))
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# Carry the object so a reentrant cleanup_models pop can't stale the index; i is just a sort tiebreaker.
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can_unload.append((-shift_model.model_offloaded_memory(), sys.getrefcount(model), shift_model.model_memory(), i, shift_model))
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shift_model.currently_used = False
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can_unload_sorted = sorted(can_unload)
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for x in can_unload_sorted:
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shift_model = x[-1]
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# Pin: shift_model.model still re-derefs the weakref a reentrant cleanup_models can None.
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model = shift_model.model
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if model is None:
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continue
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memory_to_free = 1e32
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if not DISABLE_SMART_MEMORY or device is None:
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memory_to_free = 0 if device is None else memory_required - get_free_memory(device)
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if shift_model.model.is_dynamic() and for_dynamic:
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if model.is_dynamic() and for_dynamic:
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#don't actually unload dynamic models for the sake of other dynamic models
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#as that works on-demand.
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memory_required -= shift_model.model.loaded_size()
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memory_required -= model.loaded_size()
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memory_to_free = 0
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if memory_to_free > 0 and shift_model.model_unload(memory_to_free):
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logging.debug(f"Unloading {shift_model.model.model.__class__.__name__}")
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logging.debug(f"Unloading {model.model.__class__.__name__}")
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unloaded_model.append(shift_model)
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for shift_model in unloaded_model:
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unloaded_models.append(shift_model)
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# Drop this exact object by identity: LoadedModel.__eq__ compares the wrapped model
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# (None after unload), so `in`/list.remove could match the wrong wrapper or miss it.
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# cleanup_models() may already have popped it reentrantly, so tolerate its absence.
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# Remove by identity (model is None post-unload, so __eq__ is unsafe); tolerate a reentrant pop.
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for idx in range(len(current_loaded_models) - 1, -1, -1):
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if current_loaded_models[idx] is shift_model:
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current_loaded_models.pop(idx)
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@ -999,12 +1004,17 @@ def archive_model_dtypes(model):
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def cleanup_models():
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to_delete = []
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for i in range(len(current_loaded_models)):
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if current_loaded_models[i].real_model() is None:
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to_delete = [i] + to_delete
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# real_model can still be the plain None from __init__ here; guard the call.
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rm = current_loaded_models[i].real_model
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if rm is not None and rm() is None:
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to_delete.append(current_loaded_models[i])
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for i in to_delete:
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x = current_loaded_models.pop(i)
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del x
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for lm in to_delete:
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# Remove by identity, mirroring free_memory; tolerate a reentrant pop.
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for idx in range(len(current_loaded_models) - 1, -1, -1):
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if current_loaded_models[idx] is lm:
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current_loaded_models.pop(idx)
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break
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def dtype_size(dtype):
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dtype_size = 4
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