aditya/llama.cpp
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convert.py : add missing abstract methods for quantized data (#2491)

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Keiichi Tabata 2023-08-06 15:34:05 +09:00 committed by GitHub
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convert.py
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@ -465,6 +465,13 @@ class GGMLQuantizedTensor(Tensor):
def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> 'GGMLQuantizedTensor': def permute(self, n_head: int, n_kv_head: Optional[int] = None) -> 'GGMLQuantizedTensor':
return GGMLQuantizedTensor(permute(self.ndarray, n_head, n_kv_head), self.shape, self.data_type) return GGMLQuantizedTensor(permute(self.ndarray, n_head, n_kv_head), self.shape, self.data_type)
def permute_part(self, n_part: int, n_head: int) -> 'UnquantizedTensor':
r = self.ndarray.shape[0] // 3
return UnquantizedTensor(permute(self.ndarray[r * n_part : r * n_part + r, ...], n_head))
def part(self, n_part: int) -> 'UnquantizedTensor':
r = self.ndarray.shape[0] // 3
return UnquantizedTensor(self.ndarray[r * n_part : r * n_part + r, ...])
GGMLCompatibleTensor = Union[UnquantizedTensor, GGMLQuantizedTensor] GGMLCompatibleTensor = Union[UnquantizedTensor, GGMLQuantizedTensor]