InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder_1' with dtype float and shape [?,10]
在莫烦Python教程的“Dropout 解决 overfitting”一节中,出现错误如下:
InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder_1' with dtype float and shape [?,10]
runfile('E:/python/kerasTest/tfDropoutTest9.py', wdir='E:/python/kerasTest')
C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\sklearn\cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
"This module will be removed in 0.20.", DeprecationWarning) runfile('E:/python/kerasTest/tfDropoutTest9.py', wdir='E:/python/kerasTest')
Traceback (most recent call last): File "<ipython-input-2-64f3a3bcd083>", line 1, in <module>
runfile('E:/python/kerasTest/tfDropoutTest9.py', wdir='E:/python/kerasTest') File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 710, in runfile
execfile(filename, namespace) File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 101, in execfile
exec(compile(f.read(), filename, 'exec'), namespace) File "E:/python/kerasTest/tfDropoutTest9.py", line 67, in <module>
train_result = sess.run(merged,feed_dict={xs:X_train,ys:y_train,keep_prob:1}) File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py", line 895, in run
run_metadata_ptr) File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py", line 1128, in _run
feed_dict_tensor, options, run_metadata) File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py", line 1344, in _do_run
options, run_metadata) File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py", line 1363, in _do_call
raise type(e)(node_def, op, message) InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder_1' with dtype float and shape [?,10]
[[Node: Placeholder_1 = Placeholder[dtype=DT_FLOAT, shape=[?,10], _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]] Caused by op 'Placeholder_1', defined at:
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 241, in <module>
main()
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\spyder\utils\ipython\start_kernel.py", line 237, in main
kernel.start()
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\ipykernel\kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tornado\ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\ipykernel\zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2698, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2808, in run_ast_nodes
if self.run_code(code, result):
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2862, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-1-64f3a3bcd083>", line 1, in <module>
runfile('E:/python/kerasTest/tfDropoutTest9.py', wdir='E:/python/kerasTest')
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 710, in runfile
execfile(filename, namespace)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 101, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "E:/python/kerasTest/tfDropoutTest9.py", line 39, in <module>
ys = tf.placeholder(tf.float32,[None,10])
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\ops\array_ops.py", line 1680, in placeholder
return gen_array_ops._placeholder(dtype=dtype, shape=shape, name=name)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 4105, in _placeholder
"Placeholder", dtype=dtype, shape=shape, name=name)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\framework\ops.py", line 3160, in create_op
op_def=op_def)
File "C:\Users\Admin\AppData\Local\conda\conda\envs\tensorflow\lib\site-packages\tensorflow\python\framework\ops.py", line 1625, in __init__
self._traceback = self._graph._extract_stack() InvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'Placeholder_1' with dtype float and shape [?,10]
[[Node: Placeholder_1 = Placeholder[dtype=DT_FLOAT, shape=[?,10], _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]
代码如下:
import tensorflow as tf
from sklearn.datasets import load_digits
from sklearn.cross_validation import train_test_split
from sklearn.preprocessing import LabelBinarizer #load data
digits = load_digits()
X = digits.data#从0到9的图片
y = digits.target
y =LabelBinarizer().fit_transform(y)
X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=.3) def add_layer(inputs,in_size,out_size,layer_name,activation_function=None):
#add one more layer and return the output of this layer
Weights = tf.Variable(tf.random_normal([in_size,out_size]))
biases = tf.Variable(tf.zeros([1, out_size]) + 0.1)
Wx_plus_b = tf.matmul(inputs, Weights) + biases
Wx_plus_b = tf.nn.dropout(Wx_plus_b,keep_prob)
if activation_function is None:
outputs = Wx_plus_b
else:
outputs = activation_function(Wx_plus_b)
tf.summary.histogram(layer_name+'/outputs',outputs)
return outputs xs = tf.placeholder(tf.float32,[None,64])#8*8
ys = tf.placeholder(tf.float32,[None,10])
keep_prob = tf.placeholder(tf.float32) #add output layer
l1 = add_layer(xs,64,50,'l1',activation_function=tf.nn.tanh)
prediction = add_layer(l1,50,10,'l2',activation_function=tf.nn.softmax) #the loss between prediction and real data
cross_entropy = tf.reduce_mean(-tf.reduce_sum(ys * tf.log(prediction),
reduction_indices=[1]))#loss
tf.summary.scalar('loss',cross_entropy)
train_step = tf.train.GradientDescentOptimizer(0.6).minimize(cross_entropy) sess = tf.Session()
merged = tf.summary.merge_all()
train_writer = tf.summary.FileWriter("logs/train",sess.graph)
test_writer = tf.summary.FileWriter("logs/test",sess.graph) sess.run(tf.global_variables_initializer()) for i in range(500):
sess.run(train_step,feed_dict={xs:X_train,ys:y_train,keep_prob:0.5})
if i % 50 == 0:
train_result = sess.run(merged,feed_dict={xs:X_train,ys:y_train,keep_prob:1})
test_result = sess.run(merged,feed_dict={xs:X_test,ys:y_test,keep_prob:1})
train_writer.add_summary(train_result,i)
test_writer.add_summary(test_result,i)
原因:
在feed_dict中没有加入keep_prob的key和value
sess.run(train_step,feed_dict={xs:X_train,ys:y_train,keep_prob:0.5})中,没有写入keep_prob:0.5
造成feed_dict和placeholder的对应问题,但改正后,仍报该错误。反复检查了几遍,并没有发现问题。
最后实在无解,关闭了Spyder和anaconda,再打开anaconda和Spyder,居然可以正常运行了。。
但是也只是第一次可以正常运行,当删了生成的log文件,再次运行时,仍报该错误..至于为什么第二次运行就又报错仍未解决。
虽然问题不大,但是改了feed_dict后,问题还是没能解决,被困扰了一天,因此记录一下。
InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder_1' with dtype float and shape [?,10]的更多相关文章
- tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'x_1' with dtype float and shape [?,227,227,3]
记一次超级蠢超级折磨我的bug. 报错内容: tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a ...
- Tensorflow报错:InvalidArgumentError: You must feed a value for placeholder tensor 'input_y' with dtype
此错误神奇之处是每次第一次运行不会报错,第二次.第三次第四次....就都报错了.关掉重启,又不报错了,运行完再运行一次立马报错!搞笑! 折磨了我半天,终于被我给解决了! 问题解决来源于这边博客:htt ...
- 关于placeholder中 文字添加换行 用转义字符 代替<br>
今天遇到一个问题 UI给的效果图中 文本域的提示文字 是两行显示, 于是就想到placeholder中能否解析html标签, 尝试后发现并无卵用, 经过调查后发现 可以用转义字符代替<br> ...
- typeError:The value of a feed cannot be a tf.Tensor object.Acceptable feed values include Python scalars,strings,lists.numpy ndarrays,or TensorHandles.For reference.the tensor object was Tensor...
如上贴出了:错误信息和错误代码. 这个问题困扰了自己两天,报错大概是说输入的数据和接受的格式不一样,不能作为tensor. 后来问了大神,原因出在tf.reshape(),因为网络训练时用placeh ...
- InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [2048,38] rhs shape= [2048,2]
做tensorflow object detection 中,清空下checkpoint就可以啦
- tensorflow ValueError: Cannot feed value of shape (5000,) for Tensor 'output:0', which has shape '(?, 10)'
提供的训练数据和定义的模型之间的维度不对应. 在MNIST手写数字识别时,在 mnist = input_data.read_data_sets("MNIST_data/") 中, ...
- 实战Google深度学习框架-C3-TensorFlow入门
第三章:TensorFlow入门 TensorFlow存在计算模型,数据模型和运算模型(本文用TF代表TensorFlow) 3.1 计算模型-计算图 3.1.1 计算图的概念 TensorFlow这 ...
- 使用TensorFlow的卷积神经网络识别自己的单个手写数字,填坑总结
折腾了几天,爬了大大小小若干的坑,特记录如下.代码在最后面. 环境: Python3.6.4 + TensorFlow 1.5.1 + Win7 64位 + I5 3570 CPU 方法: 先用MNI ...
- [2] TensorFlow 向前传播算法(forward-propagation)与反向传播算法(back-propagation)
TensorFlow Playground http://playground.tensorflow.org 帮助更好的理解,游乐场Playground可以实现可视化训练过程的工具 TensorFlo ...
随机推荐
- html5 初试 indexedDB
indexedDB是存储大量结构化数据的API,demo中用到的是异步API,麻烦的就是所有对indexedDB的操作都会发生一个异步的‘请求’,只要熟悉了API操作起来也很简单. http://ww ...
- 阿里云rds 磁盘空间满导致实例锁定
1.RDS 数据日志已经快满了, 导致数据库不能写入,只读. 2. Binlog日志的保存及清理规则 MySQL实例的空间内默认清理binlog日志的规则如下: 实例空间内默认会保存最近18个小时内的 ...
- centos下安装docker,kubelet kubeadm kubectl
目录 安装docker 安装命令 安装 kubelet kubeadm kubectl 安装命令 安装docker 安装命令 yum install docker -y 启动 systemctl en ...
- Python学习过程笔记整理(一)
编码方式 -Utf8编码方式:# -*- coding: utf-8 -*- 注释 -行注释 # -块注释 '''...'''或"""...""&qu ...
- 增强学习训练AI玩游戏
1.游戏简介 符号A为 AI Agent. 符号@为金币,AI Agent需要尽可能的接取. 符号* 为炸弹,AI Agent需要尽可能的躲避. 游戏下方一组数字含义如下: Bomb hit: 代表目 ...
- C#_Switch语句的内部实现
Switch的C#内部实现 https://www.cnblogs.com/Interkey/p/3730432.html 在IL汇编语言中的Switch指令 -- 按照标号来进行跳转(和goto语句 ...
- linux文件种类及其扩展名
文件种类 普通文件(ls -al出来第一列为-) 纯文本文件(ASCII):linux系统中最多的一种文件类型,可以使用cat直接读取: 二进制文件(binary):linux下面的可执行文件: 数据 ...
- Intellij IDEA创建maven项目无java文件问题
在idea开发工具中创建工程时,点击右键没有创建包.接口.java类的提示, 如图: 解决之前的项目目录为: 针对这种情况,对idea开发工具做以下设置. 选择File->Project Str ...
- vue 组件-父组件传值给子组件
父组件通过属性,传值给子组件,子组件通过,props数组里的名称来接受父组件传过来的值. HTML部分: <div id="app"> <tmp1 :parent ...
- IDEA配置maven中央库
分两步: STEP :配置maven: STEP :配置IDEA.区分默认配置和项目级配置. STEP 1:maven中央库配置 国内常用的maven库主要是阿里云maven库.华为云maven. 其 ...