message: ipu_multi_worker_strategy_test: Reduce precision requirement in distributed test
  Test Plan: Test failed before this with new poplar, passes now.
  Reviewers: #tensorflow, #framework_ip_review_-_any_oss_or_third-party_code_use_has_been_approved, georgep
  Maniphest Tasks: T18159
diff: @@ -1084,7 +1084,9 @@ class IPUMultiWorkerStrategyMultiProcessTest(googletest.TestCase):
  # The resulting losses should be the same, as distributed training should in
  # general be equivalent to non-distributed training with concatenated batches.
  - np.testing.assert_almost_equal(losses_reference, losses_distributed)
  + np.testing.assert_almost_equal(losses_reference,
  + losses_distributed,
  + decimal=6)
  def test_pipelining_example_with_keras_layers(self):
  cluster_spec = multi_worker_test_base.create_cluster_spec(num_workers=2)
  