code: def safe_solve_with_mask(
      B: Tensor, A: Tensor
  ) -> Tuple[Tensor, Tensor, Tensor]:
      r"""Helper function, which avoids crashing because of singular matrix input and outputs the mask of valid
      solution."""
      if not torch_version_ge(1, 10):
          sol = _torch_solve_cast(A, B)
          warnings.warn(
              "PyTorch version < 1.10, solve validness mask maybe not correct",
              RuntimeWarning,
          )
          return (
              sol,
              sol,
              torch.ones(len(A), dtype=torch.bool, device=A.device),
          )
      # Based on https://github.com/pytorch/pytorch/issues/31546#issuecomment-694135622
      if not isinstance(B, Tensor):
          raise AssertionError(f"B must be Tensor. Got: {type(B)}.")
      dtype: torch.dtype = B.dtype
      if dtype not in (torch.float32, torch.float64):
          dtype = torch.float32
  
      if TYPE_CHECKING:
          # TODO: remove this branch when kornia relies on torch >= 1.13
          A_LU: Tensor
          pivots: Tensor
          info: Tensor
      elif torch_version_ge(1, 13):
          A_LU, pivots, info = torch.linalg.lu_factor_ex(A.to(dtype))
      else:
          # TODO: remove this branch when kornia relies on torch >= 1.13
          A_LU, pivots, info = torch.lu(
              A.to(dtype), True, get_infos=True
          )
  
      valid_mask: Tensor = info == 0
      n_dim_B = len(B.shape)
      n_dim_A = len(A.shape)
      if n_dim_A - n_dim_B == 1:
          B = B.unsqueeze(-1)
  
      if TYPE_CHECKING:
          # TODO: remove this branch when kornia relies on torch >= 1.13
          X: Tensor
      elif torch_version_ge(1, 13):
          X = torch.linalg.lu_solve(A_LU, pivots, B.to(dtype))
      else:
          # TODO: remove this branch when kornia relies on torch >= 1.13
          X = torch.lu_solve(B.to(dtype), A_LU, pivots)
  
      return X.to(B.dtype), A_LU.to(A.dtype), valid_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 14 for calling a global function with example usage: safe_solve_with_mask(B, A) and returns: X,  A_LU,  valid_mask, sol,  sol,  torch