code: def convert_to_numpy(x):
      """Convert a tensor to a NumPy array.
  
      Args:
          x: A tensor.
  
      Returns:
          A NumPy array.
      """
      if any_symbolic_tensors((x,)):
          # This will raise a `ValueError` defined in the `KerasTensor` class.
          # We trigger it rather than duplicate it here.
          return np.array(x)
      return backend.convert_to_numpy(x)
  
imports: import numpy
  from keras import backend
  from keras.api_export import keras_export
  from keras.backend import KerasTensor
  from keras.backend import any_symbolic_tensors
  from keras.ops.operation import Operation
  from keras.utils import traceback_utils
label_desc: Use image node_id 12 for calling a global function with example usage: convert_to_numpy(x) and returns: backend, np