tensorflow随笔-tf.nn.conv2d卷积运算(1)

# -*- coding: utf-8 -*-
"""
Created on Tue Oct  2 13:23:27 2018

 
 
tf.nn.conv2d
"""

import tensorflow as tf

g=tf.Graph()

with g.as_default():
    x=tf.constant([
            [[[3.]]
            ]])
    kernel=tf.constant([[[[2.]]]])
    y=tf.nn.conv2d(x,kernel,strides=[1,1,1,1],padding="SAME")

with tf.Session(graph=g) as sess:
    print sess.run(x)
    print sess.run(kernel)

    print x.get_shape()
    print kernel.get_shape()

    print sess.run(y)

[[[[3.]]]]
[[[[2.]]]]
(1, 1, 1, 1)
(1, 1, 1, 1)
[[[[6.]]]]

 #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Oct  2 13:23:27 2018

 
 
"""

import tensorflow as tf

g=tf.Graph()

with g.as_default():
    x=tf.constant([
            [[[1.],[2.]],[[3.],[4.]],[[5.],[6.]]],
            [[[10.],[20.]],[[30.],[40.]],[[50.],[60.]]]
            ])
    kernel=tf.constant([[[[2.]]]])
    y=tf.nn.conv2d(x,kernel,strides=[1,1,1,1],padding="SAME")

with tf.Session(graph=g) as sess:
    print x.get_shape()
    print sess.run(y)

(2, 3, 2, 1)
[[[[ 2.]
[ 4.]]

[[ 6.]
[ 8.]]

[[ 10.]
[ 12.]]]

[[[ 20.]
[ 40.]]

[[ 60.]
[ 80.]]

[[100.]
[120.]]]]

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Oct  2 13:23:27 2018

 
 
tf.nn.conv2d
"""

import tensorflow as tf

g=tf.Graph()

with g.as_default():
    x=tf.constant([
            [[[1.],[2.]],[[3.],[4.]],[[5.],[6.]]],
            [[[10.],[20.]],[[30.],[40.]],[[50.],[60.]]]
            ])
    kernel=tf.constant([[[[2.,3.]]]])
    y=tf.nn.conv2d(x,kernel,strides=[1,1,1,1],padding="SAME")

with tf.Session(graph=g) as sess:
    print sess.run(x)
    print x.get_shape()
    print sess.run(y)

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

[[ 3.]
[ 4.]]

[[ 5.]
[ 6.]]]

[[[10.]
[20.]]

[[30.]
[40.]]

[[50.]
[60.]]]]
(2, 3, 2, 1)
[[[[ 2. 3.]
[ 4. 6.]]

[[ 6. 9.]
[ 8. 12.]]

[[ 10. 15.]
[ 12. 18.]]]

[[[ 20. 30.]
[ 40. 60.]]

[[ 60. 90.]
[ 80. 120.]]

[[100. 150.]
[120. 180.]]]]