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gguf-py : support lazy tensor splitting #12809

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Apr 8, 2025
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10 changes: 10 additions & 0 deletions gguf-py/gguf/lazy.py
Original file line number Diff line number Diff line change
Expand Up @@ -139,6 +139,16 @@ def wrapped_fn(*args, **kwargs):

if isinstance(res, cls._tensor_type):
return cls(meta=cls.eager_to_meta(res), args=args, kwargs=kwargs, func=fn)
elif isinstance(res, tuple) and all(isinstance(t, cls._tensor_type) for t in res):
# share the evaluation between lazy tuple elements
shared_args: list = [args, None]

def eager_tuple_element(a: list[Any], i: int = 0, /, **kw) -> LazyBase:
assert len(a) == 2
if a[1] is None:
a[1] = fn(*a[0], **kw)
return a[1][i]
return tuple(cls(meta=cls.eager_to_meta(res[i]), args=(shared_args, i), kwargs=kwargs, func=eager_tuple_element) for i in range(len(res)))
else:
del res # not needed
# non-tensor return likely relies on the contents of the args
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