一个在赋值完成后将保留 "ref" 的新值的张量. tf.assign_add assign_add ( ref , value , use_locking = None , name = None ) 定义在:tensorflow/python/ops/state_ops.py 参见指南:变量>变量帮助函数 通过向 "ref" 添加 "value" 来更新 "ref". 此操作在更新完成后
Defined intensorflow/python/framework/tensor_shape.py. Returns : Same as “ref”. Returned as a convenience for operations that want to use the new value after the variable has been reset. 函数原型: tf.assign_add(ref,value,use_locking=None,name=None) Defined intensorflow/pytho...
tensorflow函数-tf.assign() 下面记录一个很简单的tensorflow代码,用来理解tensorflow运行机制 代码中有详细注释,大家可以在运行一下,为什么会是1,2,3这个结果 #-*-coding:UTF-8-*- import tensorflow as tf state=tf.Variable(0,name="a")#使用tensorflow在默认的图中创建节点,这个节点是一个变量 one = tf.c...
v2_nor = tf.get_variable('v2_nor',dtype = tf.float32, shape=[1,4], initializer=tf.random_normal_initializer(mean=0, stddev=5), collections = c2) assign1 = tf.assign(v1_cons,v2_cons) #将v2_cons赋予v1_cons c1_get = tf.get_collection('c1') #获得c1集合 c2_get = tf.get_col...