code: def _replace_nan(a, val, out=None):
      if out is None or a.dtype != out.dtype:
          out = cupy.empty_like(a)
      _replace_nan_kernel(a, val, out)
      return out
  
imports: import warnings
  import numpy
  import cupy
  from cupy._core import _routines_math
  from cupy._core import _fusion_thread_local
  from cupy._core import internal
label_desc: Use image node_id 9 for calling a global function with example usage: _replace_nan(a, val, out) and returns: out