code: def safenorm(
      a: torch.Tensor, dim: int, eps: float = 1e-15
  ) -> torch.Tensor:
      """
      Calculate the 2-norm safely. The square root of the inner product of a
      vector with itself.
  
      Examples
      --------
      >>> import torch
      >>> a = torch.tensor([1e-35, 2e-40])
      >>> safenorm(a, 0)
      tensor(1.4142e-15)
      >>> a.norm()
      tensor(0.)
  
  
      Parameters
      ----------
      a: torch.Tensor
          The tensor to calculate the norm.
      dim: int
          The dimension to calculate the norm.
      eps: float (default 1e-15)
          The eps to add to the base tensor.
  
      Returns
      -------
      torch.Tensor
          The result tensor.
  
      """
      return torch.sqrt(torch.sum(a * a + eps * eps, dim=dim))
  
file_path: deepchem/deepchem/utils/safeops_utils.py
imports: import math
  import torch
  from typing import Union, Optional, Tuple
label_desc: Use image node_id 2 for calling a global function with example usage: safenorm(a, dim, eps) and returns: torch