Merge pull request #35871 from Joseph-Rance:patch-3

PiperOrigin-RevId: 290844721
Change-Id: Ieda686900c4771fa90dd666c5a0b000e2415dedf

tensorflow/python/keras/layers/pooling.py

@@ -370,6 +370,24 @@ class MaxPooling2D(Pooling2D):
             [[10.],
              [11.],
              [12.]]]], dtype=float32)>
+             
+  Usage Example:
+  
+  >>> input_image = tf.constant([[[[1.], [1.], [2.], [4.]],
+  ...                            [[2.], [2.], [3.], [2.]],
+  ...                            [[4.], [1.], [1.], [1.]],
+  ...                            [[2.], [2.], [1.], [4.]]]]) 
+  >>> output = tf.constant([[[[1], [0]],
+  ...                       [[0], [1]]]]) 
+  >>> model = tf.keras.models.Sequential()
+  >>> model.add(tf.keras.layers.MaxPooling2D(pool_size=(2, 2), 
+  ...    input_shape=(4,4,1)))
+  >>> model.compile('adam', 'mean_squared_error')
+  >>> model.predict(input_image, steps=1)
+  array([[[[2.],
+           [4.]],
+          [[4.],
+           [4.]]]], dtype=float32)
 
   For example, for stride=(1,1) and padding="same":