基於騰訊雲開發者實驗室

import tensorflow as tf

a = tf.constant([1,1,1,0,0,0,1,1,1,0,0,0,1,1,1,0,0,1,1,0,0,1,1,0,0],dtype=tf.float32,shape=[1,5,5,1])
b = tf.constant([1,0,1,0,1,0,1,0,1],dtype=tf.float32,shape=[3,3,1,1])
c = tf.nn.conv2d(a,b,strides=[1, 2, 2, 1],padding='VALID')
d = tf.nn.conv2d(a,b,strides=[1, 2, 2, 1],padding=
 
'SAME')
with tf.Session() as sess:
    print ("c shape:")
    print (c.shape)
    print ("c value:")
    print (sess.run(c))
    print ("d shape:")
    print (d.shape)
    print ("d value:")
    print (sess.run(d))

conv2d( input, filter, strides, padding, use_cudnn_on_gpu=True, data_format=‘NHWC’, name=None )

c shape:
(1, 2, 2, 1)
c value:
[[[[ 4.]
   [ 4.]]

  [[ 2.]
   [ 4.]]]]
d shape:
(1, 3, 3, 1)
d value:
[[[[ 2.]
   [ 3.]
   [ 1.]]

  [[ 1.]
   [ 4.]
   [ 3.]]

  [[ 0.]
   [ 2.]
   [ 1.]]]]