code: def eye_like(value, m, n=None):
      if n is None:
          n = m
      eye = torch.zeros(m, n, dtype=value.dtype, device=value.device)
      eye.view(-1)[: min(m, n) * n : n + 1] = 1
      return eye
  
imports: import copy
  import ctypes
  import functools
  import numbers
  import weakref
  from contextlib import contextmanager
  import torch
  import torch.distributions
  from torch import logsumexp
  from torch.distributions.utils import broadcast_all
  from pyro.util import ignore_jit_warnings
  from ..None import settings
label_desc: Use image node_id 13 for calling a global function with example usage: eye_like(value, m, n) and returns: eye