code: def testGather(self):
      operand = np.arange(10, dtype=np.int32).reshape([2, 5])
      start_indices = np.array([2], np.int32)
      slice_sizes = np.array([1, 3], np.int32)
  
      def gather(operand, start_indices):
          dimension_numbers = xla_data_pb2.GatherDimensionNumbers()
          dimension_numbers.offset_dims.extend([1])
          dimension_numbers.collapsed_slice_dims.extend([0])
          dimension_numbers.start_index_map.extend([0])
          dimension_numbers.index_vector_dim = 1
          return xla.gather(
              operand, start_indices, dimension_numbers, slice_sizes
          )
  
      self._assertOpOutputMatchesExpected(
          gather,
          args=(operand, start_indices),
          expected=np.array([[5, 6, 7]]),
      )
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from tensorflow.compiler.tf2xla.python import xla
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 4 for calling the XlaOpsNumericalTest obj's underlying member method code with example usage: obj.testGather() and returns: xla