tensorflow中session和placeholder的理解

tensorflow中session和placeholder的理解

placeholder等价于函数的输入。sess.run()等价于函数的调用。例如：

import tensorflow.compat.v1 as tf
tf.disable_eager_execution()

sess = tf.Session()

a = tf.placeholder("float")
b = tf.placeholder("float")
c = tf.constant(6.0)
d = tf.mul(a, b)
y = tf.mul(d, c)
print(sess.run(y, feed_dict={a: 3, b: 3}))

A = [[1.1, 2.3], [3.4, 4.1]]
Y = tf.matrix_inverse(A)
print(sess.run(Y))
sess.close()

等价于

import tensorflow as tf
def y(a,b):
    c = tf.constant(6.0)
    d = tf.multiply(a, b)
    return tf.multiply(d, c)

def Y(A):
    return tf.matrix_inverse(A)

print(y(3, 3))

A = [[1.1,2.3],[3.4,4.1]]
print(Y(A))