tensorflow 学习随记

tensorflow 中 placeholder占位符在 feed_dict填入时不接受Tensor objec，可以传入scalars, strings, lists, numpy ndarrays, or TensorHandles

错误如下：

The value of a feed cannot be a tf.Tensor object. Acceptable feed values include Python scalars, strings, lists, numpy ndarrays, or TensorHandles

import tensorflow as tfimport numpy as npa = tf.placeholder(tf.float32)b = tf.placeholder(tf.float32)v = [[1,2], [4,5]]c = tf.constant([[1.0,2.0], [3.0,4.0]], dtype=tf.float32, name="c")d = tf.Variable([[1.0,2.0], [3.0,4.0]], name="d")op = tf.add(a,b)init_op = tf.global_variables_initializer()with tf.Session() as sess:    sess.run(init_op)    print("op = ", sess.run(op, feed_dict={a: v, b:v}))    # print("op = ", sess.run(op, feed_dict={a: c, b: c}))  #error    # print("op = ", sess.run(op, feed_dict={a: d, b: d}))  #error