code: def _copysign(a: torch.Tensor, b: torch.Tensor) -> torch.Tensor:
      """
      Return a tensor where each element has the absolute value taken from the,
      corresponding element of a, with sign taken from the corresponding
      element of b. This is like the standard copysign floating-point operation,
      but is not careful about negative 0 and NaN.
  
      Args:
          a: source tensor.
          b: tensor whose signs will be used, of the same shape as a.
  
      Returns:
          Tensor of the same shape as a with the signs of b.
      """
      signs_differ = (a < 0) != (b < 0)
      return torch.where(signs_differ, -a, a)
  
imports: from typing import Optional
  import torch
  import torch.nn.functional
  from ..common.datatypes import Device
label_desc: Use image node_id 2 for calling a global function with example usage: _copysign(a, b) and returns: torch