code: def _dense_to_sparse(data):
      """Convert a numpy array to a tf.SparseTensor."""
      return utils_test._dense_to_sparse(data)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  from absl.testing import parameterized
  import numpy
  from six.moves import range
  import tensorflow
  import tensorflow_graphics.geometry.convolution.graph_pooling
  from tensorflow_graphics.geometry.convolution.tests import utils_test
  from tensorflow_graphics.util import test_case
label_desc: Use image node_id 1 for calling a global function with example usage: _dense_to_sparse(data) and returns: utils_test