message: Resolved bazel error
diff: @@ -144,10 +144,10 @@ class RaggedReduceOpsTest(test_util.TensorFlowTestCase, parameterized.TestCase):
  expected=[9.6875, 0.0, 0.0]),
  dict(
  ragged_reduce_op=ragged_math_ops.reduce_std,
  - rt_input=[[3, 1, 4], [1, 1], [9], [2, 1]],
  + rt_input=[[3, 1, 4], [3, 1], [2], [2, 1]],
  axis=0,
  keepdims=False,
  - expected=[3.1124749, 0., 0.]),
  + expected=[0.5, 0., 0.]),
  dict(
  ragged_reduce_op=ragged_math_ops.reduce_any,
  rt_input=[[True, True], [True, True, False, True], [False, True]],
  @@ -260,10 +260,10 @@ class RaggedReduceOpsTest(test_util.TensorFlowTestCase, parameterized.TestCase):
  expected=[[9.6875, 0., 0.]]),
  dict(
  ragged_reduce_op=ragged_math_ops.reduce_std,
  - rt_input=[[3, 1, 4], [1, 1], [9], [2, 1]],
  + rt_input=[[3, 1, 4], [3, 1], [2], [2, 1]],
  axis=0,
  keepdims=True,
  - expected=[[3.1124749, 0., 0.]]),
  + expected=[[0.5, 0., 0.]]),
  dict(
  ragged_reduce_op=ragged_math_ops.reduce_any,
  rt_input=[[True, True], [True, True, False, True], [False, True]],
  @@ -383,10 +383,10 @@ class RaggedReduceOpsTest(test_util.TensorFlowTestCase, parameterized.TestCase):
  variance(1, 1, 1), 0, 0]),
  dict(
  ragged_reduce_op=ragged_math_ops.reduce_std,
  - rt_input=[[1, 1, 2, 3], [1], [], [2, 1], [1], [1, 1]],
  + rt_input=[[1, 1, 2, 3], [1], [], [1, 1], [1], [1, 1]],
  axis=0,
  keepdims=False,
  - expected=[std(1, 1, 2, 1, 1), std(1, 1, 1), 0, 0]),
  + expected=[std(1, 1, 1, 1, 1), std(1, 1, 1), 0, 0]),
  # axis=1
  # Note: we don't test mean here because it gives a NaN, and this will
  # cause assertEqual to fail (since NaN != NaN). See testMeanNan().
  