def int8_vectorwise_dequant(A: torch.Tensor, stats: torch.Tensor):
    """Dequantizes a tensor with dtype `torch.int8` to `torch.float32`.

    Args:
        A (`torch.Tensor` with dtype `torch.int8`): The quantized int8 tensor.
        stats (`torch.Tensor` with dtype `torch.float32`): The row-wise quantization statistics.

    Returns:
        `torch.Tensor` with dtype `torch.float32`: The dequantized tensor.
    """
    # To dequantize we divide by 127, or multiply by the reciprocal.
    return torch.ops.bitsandbytes.int8_vectorwise_dequant.default(A, stats)
Dequantizes a tensor with dtype `torch.int8` to `torch.float32`.

    Args:
        A (`torch.Tensor` with dtype `torch.int8`): The quantized int8 tensor.
        stats (`torch.Tensor` with dtype `torch.float32`): The row-wise quantization statistics.

    Returns:
        `torch.Tensor` with dtype `torch.float32`: The dequantized tensor.
    
bitsandbytes/functional.py