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gguf-py : do not use internal numpy types #7472

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Merged
merged 2 commits into from
Jul 9, 2024
Merged

gguf-py : do not use internal numpy types #7472

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gguf-py : do not use internal numpy types
compilade May 22, 2024
aaf7bc8
Merge branch 'master' into compilade/gguf-py-fix-old-numpy
compilade Jul 9, 2024
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3 changes: 1 addition & 2 deletions gguf-py/gguf/lazy.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,6 @@
from collections import deque

import numpy as np
from numpy._typing import _Shape
from numpy.typing import DTypeLike


Expand Down Expand Up @@ -219,7 +218,7 @@ class LazyNumpyTensor(LazyBase):
_tensor_type = np.ndarray

@classmethod
def meta_with_dtype_and_shape(cls, dtype: DTypeLike, shape: _Shape) -> np.ndarray[Any, Any]:
def meta_with_dtype_and_shape(cls, dtype: DTypeLike, shape: tuple[int, ...]) -> np.ndarray[Any, Any]:
# The initial idea was to use np.nan as the fill value,
# but non-float types like np.int16 can't use that.
# So zero it is.
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