diff --git a/tensorflow/python/distribute/mirrored_strategy.py b/tensorflow/python/distribute/mirrored_strategy.py
index 2ead8f8c4ad..35f735d74d5 100644
--- a/tensorflow/python/distribute/mirrored_strategy.py
+++ b/tensorflow/python/distribute/mirrored_strategy.py
@@ -43,6 +43,7 @@ from tensorflow.python.framework import tensor_util
 from tensorflow.python.ops import array_ops
 from tensorflow.python.ops import control_flow_ops
 from tensorflow.python.ops import variable_scope
+from tensorflow.python.platform import tf_logging as logging
 from tensorflow.python.training import coordinator
 from tensorflow.python.util import nest
 from tensorflow.python.util.tf_export import tf_export
@@ -722,6 +723,14 @@ class MirroredExtended(distribute_lib.StrategyExtendedV1):
     return self._get_cross_device_ops().broadcast(tensor, destinations)
 
   def _call_for_each_replica(self, fn, args, kwargs):
+    if context.executing_eagerly():
+      logging.log_first_n(logging.WARN, "Using %s eagerly has significant "
+                          "overhead currently. We will be working on improving "
+                          "this in the future, but for now please wrap "
+                          "`call_for_each_replica` or `experimental_run` or "
+                          "`experimental_run_v2` inside a tf.function to get "
+                          "the best performance." %
+                          self._container_strategy().__class__.__name__, 5)
     return _call_for_each_replica(self._container_strategy(), self._device_map,
                                   fn, args, kwargs)