53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
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from typing import List, Union
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import ixformer._C as ops
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import torch
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__all__ = ["bnb_rowcol_absmax", "ref_bnb_rowcol_absmax"]
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# input : input shape : [row, col]
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# threshold : abs of element exceeds threshold will be ignored
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# type
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# 0 : row absmax
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def ref_bnb_rowcol_absmax(
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input: torch.Tensor,
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training: bool = False,
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threshold: float = 0.0,
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type: int = 0,
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):
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input = input.float()
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if threshold ==0.0:
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threshold = float('inf')
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mask = (torch.abs(input) < threshold)
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masked_input = mask * input
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masked_input = masked_input.half()
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if type == 0:
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out = torch.amax(torch.abs(masked_input), dim=1)
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else:
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out = torch.amax(torch.abs(masked_input), dim=0)
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return out
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def bnb_rowcol_absmax(
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input: torch.Tensor,
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training: bool = False,
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threshold: float = 0.0,
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type: int = 0,
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) -> torch.Tensor:
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"""
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Args:
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input: (row, col) torch.half
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目前col值必须满足col%2==0
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training: bool
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threshold: float
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abs of element exceeds threshold will be ignored
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type: int
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row absmax, 目前只支持type=0
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Returns:
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Tensor: (row) torch.half
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"""
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return ops.infer.bnb_rowcol_absmax(input, threshold, type)
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