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

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compilade 2024-07-09 01:04:49 -04:00 committed by GitHub
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gguf-py/gguf/lazy.py
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@ -6,7 +6,6 @@ from typing import Any, Callable
from collections import deque from collections import deque
import numpy as np import numpy as np
from numpy._typing import _Shape
from numpy.typing import DTypeLike from numpy.typing import DTypeLike
@ -219,7 +218,7 @@ class LazyNumpyTensor(LazyBase):
_tensor_type = np.ndarray _tensor_type = np.ndarray
@classmethod @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, # The initial idea was to use np.nan as the fill value,
# but non-float types like np.int16 can't use that. # but non-float types like np.int16 can't use that.
# So zero it is. # So zero it is.