diff --git a/tensorflow/python/eager/execute.py b/tensorflow/python/eager/execute.py
index 0907f96b252..a02bb8f3c06 100644
--- a/tensorflow/python/eager/execute.py
+++ b/tensorflow/python/eager/execute.py
@@ -66,8 +66,13 @@ def quick_execute(op_name, num_outputs, inputs, attrs, ctx, name=None):
       message = e.message
     six.raise_from(core._status_to_exception(e.code, message), None)
   except TypeError as e:
-    if any(ops._is_keras_symbolic_tensor(x) for x in inputs):
-      raise core._SymbolicException
+    keras_symbolic_tensors = [
+        x for x in inputs if ops._is_keras_symbolic_tensor(x)
+    ]
+    if keras_symbolic_tensors:
+      raise core._SymbolicException(
+          "Inputs to eager execution function cannot be Keras symbolic "
+          "tensors, but found {}".format(keras_symbolic_tensors))
     raise e
   # pylint: enable=protected-access
   return tensors
@@ -202,9 +207,12 @@ def args_to_matching_eager(l, ctx, default_dtype=None):
 
   # TODO(slebedev): consider removing this as it leaks a Keras concept.
   # pylint: disable=protected-access
-  if any(ops._is_keras_symbolic_tensor(x) for x in ret):
+  keras_symbolic_tensors = [x for x in ret if
+                            ops._is_keras_symbolic_tensor(x)]
+  if keras_symbolic_tensors:
     raise core._SymbolicException(
-        "Using the symbolic output of a Keras layer during eager execution.")
+        "Using symbolic output of a Keras layer during eager execution "
+        "{}".format(keras_symbolic_tensors))
   # pylint: enable=protected-access
   return dtype.as_datatype_enum, ret