code: def _uniform_random_(
      t: torch.Tensor, low: float, high: float
  ) -> torch.Tensor:
      # uniform_ requires to-from <= std::numeric_limits<scalar_t>::max()
      # Work around this by scaling the range before and after the PRNG
      if high - low >= torch.finfo(t.dtype).max:
          return t.uniform_(low / 2, high / 2).mul_(2)
      else:
          return t.uniform_(low, high)
  
imports: import collections.abc
  import math
  import warnings
  from typing import cast, List, Optional, Tuple, Union
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: _uniform_random_(t, low, high) and returns: t, t