diff --git a/tensorflow/python/keras/utils/vis_utils.py b/tensorflow/python/keras/utils/vis_utils.py
index 3720708543f3ac..acfb589f51b5ea 100644
--- a/tensorflow/python/keras/utils/vis_utils.py
+++ b/tensorflow/python/keras/utils/vis_utils.py
@@ -69,6 +69,7 @@ def add_edge(dot, src, dst):
 @keras_export('keras.utils.model_to_dot')
 def model_to_dot(model,
                  show_shapes=False,
+                 show_dtype=False,
                  show_layer_names=True,
                  rankdir='TB',
                  expand_nested=False,
@@ -79,6 +80,7 @@ def model_to_dot(model,
   Arguments:
     model: A Keras model instance.
     show_shapes: whether to display shape information.
+    show_dtype: whether to display layer dtypes.
     show_layer_names: whether to display layer names.
     rankdir: `rankdir` argument passed to PyDot,
         a string specifying the format of the plot:
@@ -150,8 +152,11 @@ def model_to_dot(model,
     if isinstance(layer, wrappers.Wrapper):
       if expand_nested and isinstance(layer.layer,
                                       functional.Functional):
-        submodel_wrapper = model_to_dot(layer.layer, show_shapes,
-                                        show_layer_names, rankdir,
+        submodel_wrapper = model_to_dot(layer.layer, 
+                                        show_shapes,
+                                        show_dtype,
+                                        show_layer_names, 
+                                        rankdir,
                                         expand_nested,
                                         subgraph=True)
         # sub_w : submodel_wrapper
@@ -165,8 +170,11 @@ def model_to_dot(model,
         class_name = '{}({})'.format(class_name, child_class_name)
 
     if expand_nested and isinstance(layer, functional.Functional):
-      submodel_not_wrapper = model_to_dot(layer, show_shapes,
-                                          show_layer_names, rankdir,
+      submodel_not_wrapper = model_to_dot(layer, 
+                                          show_shapes, 
+                                          show_dtype,
+                                          show_layer_names, 
+                                          rankdir,
                                           expand_nested,
                                           subgraph=True)
       # sub_n : submodel_not_wrapper
@@ -180,6 +188,16 @@ def model_to_dot(model,
       label = '{}: {}'.format(layer_name, class_name)
     else:
       label = class_name
+  
+    # Rebuild the label as a table including the layer's dtype.
+    if show_dtype: 
+      def format_dtype(dtype):
+        if dtype is None:
+          return '?'
+        else:
+          return str(dtype)
+          
+      label = '%s|%s' % (label, format_dtype(layer.dtype))
 
     # Rebuild the label as a table including input/output shapes.
     if show_shapes:
@@ -260,6 +278,7 @@ def format_shape(shape):
 def plot_model(model,
                to_file='model.png',
                show_shapes=False,
+               show_dtype=False,
                show_layer_names=True,
                rankdir='TB',
                expand_nested=False,
@@ -286,6 +305,7 @@ def plot_model(model,
     model: A Keras model instance
     to_file: File name of the plot image.
     show_shapes: whether to display shape information.
+    show_dtype: whether to display layer dtypes.
     show_layer_names: whether to display layer names.
     rankdir: `rankdir` argument passed to PyDot,
         a string specifying the format of the plot:
@@ -300,6 +320,7 @@ def plot_model(model,
   """
   dot = model_to_dot(model,
                      show_shapes=show_shapes,
+                     show_dtype=show_dtype,
                      show_layer_names=show_layer_names,
                      rankdir=rankdir,
                      expand_nested=expand_nested,
diff --git a/tensorflow/python/keras/utils/vis_utils_test.py b/tensorflow/python/keras/utils/vis_utils_test.py
index 984014216beb89..c5e3d18e7340b1 100644
--- a/tensorflow/python/keras/utils/vis_utils_test.py
+++ b/tensorflow/python/keras/utils/vis_utils_test.py
@@ -36,7 +36,8 @@ def test_plot_model_cnn(self):
     model.add(keras.layers.Dense(5, name='dense'))
     dot_img_file = 'model_1.png'
     try:
-      vis_utils.plot_model(model, to_file=dot_img_file, show_shapes=True)
+      vis_utils.plot_model(model, to_file=dot_img_file, 
+                           show_shapes=True, show_dtype=True)
       self.assertTrue(file_io.file_exists(dot_img_file))
       file_io.delete_file(dot_img_file)
     except ImportError:
@@ -62,7 +63,8 @@ def test_plot_model_with_wrapped_layers_and_models(self):
     dot_img_file = 'model_2.png'
     try:
       vis_utils.plot_model(
-          model, to_file=dot_img_file, show_shapes=True, expand_nested=True)
+          model, to_file=dot_img_file, show_shapes=True,
+          show_dtype=True, expand_nested=True)
       self.assertTrue(file_io.file_exists(dot_img_file))
       file_io.delete_file(dot_img_file)
     except ImportError:
@@ -76,7 +78,8 @@ def test_plot_model_with_add_loss(self):
     dot_img_file = 'model_3.png'
     try:
       vis_utils.plot_model(
-          model, to_file=dot_img_file, show_shapes=True, expand_nested=True)
+          model, to_file=dot_img_file, show_shapes=True,
+          show_dtype=True, expand_nested=True)
       self.assertTrue(file_io.file_exists(dot_img_file))
       file_io.delete_file(dot_img_file)
     except ImportError:
@@ -88,7 +91,8 @@ def test_plot_model_with_add_loss(self):
     dot_img_file = 'model_4.png'
     try:
       vis_utils.plot_model(
-          model, to_file=dot_img_file, show_shapes=True, expand_nested=True)
+          model, to_file=dot_img_file, show_shapes=True,
+          show_dtype=True, expand_nested=True)
       self.assertTrue(file_io.file_exists(dot_img_file))
       file_io.delete_file(dot_img_file)
     except ImportError: