code: def dynamic_update_slice_reference(operand, update, start_indices):
      slices = tuple(
          map(
              slice, start_indices, onp.add(start_indices, update.shape)
          )
      )
      updated_operand = onp.copy(operand)
      updated_operand[slices] = update
      return updated_operand
  
imports: import collections
  import enum
  from functools import partial
  import itertools
  import unittest
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import config
  from tensorflow.python.ops.numpy_ops.tests.config import config
  import tensorflow.python.ops.numpy_ops.tests.extensions
  import tensorflow.python.ops.numpy_ops.tests.np_wrapper
  import tensorflow.python.ops.numpy_ops.tests.test_util
  from tensorflow.python.util import nest
label_desc: Use image node_id 3 for calling a global function with example usage: dynamic_update_slice_reference(operand, update, start_indices) and returns: updated_operand