code: def dynamic_slice_reference(operand, start_indices, slice_sizes):
      out = onp.zeros(slice_sizes, dtype=operand.dtype)
      idx = tuple(
          slice(start, start + size)
          for start, size in zip(start_indices, slice_sizes)
      )
      section = operand[idx]
      out[tuple(slice(None, stop) for stop in section.shape)] = section
      return out
  
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 2 for calling a global function with example usage: dynamic_slice_reference(operand, start_indices, slice_sizes) and returns: out