code: def safe_inverse_with_mask(A: Tensor) -> Tuple[Tensor, Tensor]:
      r"""Helper function, which avoids crashing because of non-invertable matrix input and outputs the mask of valid
      solution."""
  
      if not isinstance(A, Tensor):
          raise AssertionError(f"A must be Tensor. Got: {type(A)}.")
  
      dtype_original = A.dtype
      if dtype_original not in (torch.float32, torch.float64):
          dtype = torch.float32
      else:
          dtype = dtype_original
  
      inverse, info = inv_ex(A.to(dtype))
      mask = info == 0
      return inverse.to(dtype_original), mask
  
imports: import platform
  import sys
  import warnings
  from functools import wraps
  from inspect import isclass, isfunction
  from typing import TYPE_CHECKING, Any, Callable, List, Optional, Tuple, Union, overload
  import torch
  from torch.linalg import inv_ex
  from kornia.core import Tensor
  from kornia.utils._compat import torch_version_ge
label_desc: Use image node_id 15 for calling a global function with example usage: safe_inverse_with_mask(A) and returns: inverse,  mask