tensorflow零起点快速入门(3)

x=tf.linspace(-3.0,3.0,32)
print(x)
sess=tf.Session()
result=sess.run(x)
print(result)

xsum=tf.summary.FileWriter(".",sess.graph)
xss=x.eval(session=sess)
print(xss)
sess.close()

sess=tf.InteractiveSession()
xss=x.eval()
print(xss)

segma=1.0
mean=0.0
z=tf.exp(tf.negative(tf.pow(x-mean,2)/(2*tf.pow(segma,2.0))))*\
    (1/segma*tf.sqrt(2*3.14159))
print(z)
print(z.eval())

assert z.graph is tf.get_default_graph()
print(z.graph)

zdat=z.get_shape()
print(zdat)
zlst=z.get_shape().as_list()
print(zlst)

zdat=tf.shape(z).eval()
print(zdat)

zdat=tf.stack([tf.shape(z),tf.shape(z),[3],[4]]).eval()
print(zdat)

import matplotlib.pyplot as plt
z_2d=tf.matmul(tf.reshape(z,[32,1]),tf.reshape(z,[1,32]))
print(z_2d)
z_2dx=z_2d.eval()
print(z_2dx)
plt.imshow(z_2dx)
plt.show()

x=tf.reshape(tf.sin(tf.linspace(-3.0,3.0,32)),[32,1])
y=tf.reshape(tf.ones_like(x),[1,32])
z=tf.multiply(tf.matmul(x,y),z_2d)
z_gabor=z.eval()
plt.imshow(z_gabor)
plt.show()

print(y.eval())

ops=tf.get_default_graph().get_operations()
print([op.name for op in ops])