docstr: Indexing value functions by action with a minibatch of sequences.
docstr_tok: ["Indexing","value","functions","by","action","with","a","minibatch","of","sequences","."]
code: def testValueSequence(self):
      """Indexing value functions by action with a minibatch of sequences."""
      values = [
          [[1.1, 1.2, 1.3], [1.4, 1.5, 1.6]],
          [[2.1, 2.2, 2.3], [2.4, 2.5, 2.6]],
          [[3.1, 3.2, 3.3], [3.4, 3.5, 3.6]],
          [[4.1, 4.2, 4.3], [4.4, 4.5, 4.6]],
      ]
      action_indices = [[0, 2], [1, 0], [2, 1], [0, 2]]
      result = indexing_ops.batched_index(values, action_indices)
      expected_result = [[1.1, 1.6], [2.2, 2.4], [3.3, 3.5], [4.1, 4.6]]
  
      with self.test_session() as sess:
          self.assertAllClose(sess.run(result), expected_result)
  
file_path: trfl/trfl/indexing_ops_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  from trfl import indexing_ops
label_desc: Use image node_id 2 for calling the BatchIndexingTest obj's underlying member method code with example usage: obj.testValueSequence() without return types