code: def _to_numpy_autograd(x, max_depth=None, _n=0):
      if hasattr(x, "_value"):
          # Catches the edge case where the data is an Autograd arraybox,
          # which only occurs during backpropagation.
          return _unwrap_arraybox(x, max_depth=max_depth, _n=_n)
  
      return x.numpy()
  
imports: from importlib import import_module
  import autoray
  import numpy
  import semantic_version
  from scipy.linalg import block_diag
  from .utils import get_deep_interface
label_desc: Use image node_id 10 for calling a global function with example usage: _to_numpy_autograd(x, max_depth, _n) and returns: x, _unwrap_arraybox