docstr: Tests the reduce sum of float16 doesn't lose too much precision.
docstr_tok: ["Tests","the","reduce","sum","of","float16","does","n't","lose","too","much","precision","."]
code: def testReduceSumF16(self):
      """Tests the reduce sum of float16 doesn't lose too much precision."""
  
      if np.float16 not in self.all_types:
          return
  
      f16_max = np.finfo(np.float16).max
      self._testReduceSum(
          f16_max,
          np.float16,
          itertools.permutations(
              [f16_max, f16_max, f16_max * (-1.0)], 3
          ),
      )
  
imports: import functools
  import itertools
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 2 for calling the ReduceOpPrecisionTest obj's underlying member method code with example usage: obj.testReduceSumF16() without return types