初学者并尝试在我的tensorflow prgm中使用tensorboard。我添加了张量板引用,正如我在教程中看到的那样,但我收到以下错误消息:
InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'x' with dtype float [[Node: x = Placeholderdtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/cpu:0"]]
错误似乎与我在训练循环中添加的这一行有关。如果没有这一行,程序不会抛出错误:
summary = sess.run(merged_summary_op, {x: x_train, y_prim: y_train})
如果有人可以检查我下面的代码并提供帮助,谢谢:
# -*- coding: utf-8 -*-
import tensorflow as tf
sess = tf.Session()
# parms
a = tf.Variable([2.0], dtype=tf.float32, name="a")
x = tf.placeholder(tf.float32, name="x")
b = tf.Variable([1.0], dtype=tf.float32, name="b")
# model : y=ax+b
with tf.name_scope('Model'):
y = tf.add ((tf.multiply(a, x)), b)
# info for TensorBoard
writer = tf.summary.FileWriter("D:\\tmp\\tensorflow\\logs", sess.graph)
# loss fct - mean square error
with tf.name_scope('cost'):
y_prim = tf.placeholder(tf.float32)
cost = tf.reduce_sum(tf.square(y - y_prim))
# optimizer = gradientdescent
with tf.name_scope('GradDes'):
optimizer = tf.train.GradientDescentOptimizer(0.01)
train = optimizer.minimize(cost)
# train datas
x_train = [1, 2, 3, 4]
y_train = [5.2, 8.4, 11.1, 14.7]
# summary for Tensorboard
tf.summary.scalar("cost", cost)
merged_summary_op = tf.summary.merge_all()
# init vars
init = tf.global_variables_initializer()
# train loop
sess.run(init)
for i in range (500):
sess.run([train, cost], feed_dict={x: x_train, y_prim: y_train})
summary = sess.run(merged_summary_op, {x: x_train, y_prim: y_train})
a_found, b_found, curr_cost = sess.run([a, b, cost], feed_dict={x:x_train, y_prim: y_train})
print("iteration :", i, "a: ", a_found, "b: ", b_found, "cost: ",curr_cost)
最佳答案
不要在单独的 sess.run
中执行合并摘要操作。试试这个:
a_found, b_found, curr_cost, summary = sess.run([a, b, cost, merged_summary_op], feed_dict={x:x_train, y_prim: y_train})
session 运行后,您需要调用 FileWriter 的 add_summary
方法:
writer.add_summary(summary)
writer.flush()
关于python - tensorflow 张量板错误: you must feed a value for placeholder tensor,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/47313838/