语法部分
import tensorflow as tf
import numpy as np
#占位符，适用于不知道具体参数
x = tf.placeholder(tf.float32, shape=(4, 4))
y = tf.add(x, x)
argmax_paramter = tf.Variable([[1, 32, 44, 56],[89, 12, 90, 33],[35, 69,1,10]])
#最大列索引
argmax_0 = tf.argmax(argmax_paramter, 0)
#最大行索引
argmax_1 = tf.argmax(argmax_paramter, 1)
#平均数
reduce_0 = tf.reduce_mean(argmax_paramter, reduction_indices=0)
reduce_1 = tf.reduce_mean(argmax_paramter, raduction_indices=1)
#相等
equal_0 = tf.equal(1,2)
equal_1 = tf.equal(2, 2)
#类型转换
cast_0 = tf.cast(equal_0, tf.int32)
casr_1 = tf.cast(equal_1,tf.float32)
with tf.Session() as sess:
init = tf.variables_all_initializer()
sess.run(init)
rand_array = np.random.rand(4, 4)
print(sess.run(y, feed_dict={x: rand_array}))
