import tensorflow as tf

matric1=tf.random.normal([1,5,5,1])
input=tf.Variable(matric1)
print('matric1',matric1)
conv=tf.keras.layers.Conv2D(1,2,padding="SAME")(input)
#上式等价于conv=tf.keras.layers.Conv2D(filters=1,kernel_size=2)(input)
print('conv的大小：',conv.shape)

#tf.keras.layers.Conv2D()
tf.keras.layers.MaxPool2D