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1# Copyright 2026 Huawei Technologies Co., Ltd 

2# 

3# Licensed under the Apache License, Version 2.0 (the "License"); 

4# you may not use this file except in compliance with the License. 

5# You may obtain a copy of the License at 

6# 

7# http://www.apache.org/licenses/LICENSE-2.0 

8# 

9# Unless required by applicable law or agreed to in writing, software 

10# distributed under the License is distributed on an "AS IS" BASIS, 

11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 

12# See the License for the specific language governing permissions and 

13# limitations under the License. 

14# ============================================================================ 

15"""Abstract interface for low-precision tensor quantizers.""" 

16 

17from abc import ABC, abstractmethod 

18 

19import torch # pylint: disable=forbidden-backend-import 

20 

21from hyper_parallel.components.quantization.tensor import QuantizedTensor 

22 

23 

24class Quantizer(ABC): 

25 """Convert high-precision tensors into typed quantized representations.""" 

26 

27 @abstractmethod 

28 def quantize( 

29 self, 

30 tensor: torch.Tensor, 

31 *, 

32 rowwise: bool, 

33 colwise: bool, 

34 ) -> QuantizedTensor: 

35 """Quantize a tensor in the requested directional representations."""