对张量流对象执行操作时出现 TypeError

Question

下面是代码的简化版本，我在第 res = input - var

行遇到错误

import tensorflow.contrib.slim as slim
import tensorflow as tf

x = tf.placeholder(tf.float32, shape=[None, 150, 220, 3], name='x')

input = slim.conv2d(x,  num_outputs=96, kernel_size=11, stride=4, padding=padding, scope=scope, weights_initializer=tf.truncated_normal_initializer(stddev=0.01), biases_initializer=None, activation_fn=None)

var = tf.zeros_initializer()

res = input - var

变量类型

input type: <tensorflow.python.ops.init_ops.Zeros object at 0x7f1a017fdb38>
var_type: Tensor("conv1/Conv2D:0", shape=(?, 35, 53, 96), dtype=float32)

错误

TypeError: Expected float32, got <tensorflow.python.ops.init_ops.Zeros object at 0x7f1a017fdb38> of type 'Zeros' instead.

我该如何解决，任何建议都会有所帮助。

Answer 1

在此行中，您正尝试从张量中减去方法。

var = tf.zeros_initializer()
res = input - var

对张量流对象执行操作时出现 TypeError

Getting TypeError while performing operation on tensorflow objects

python

tensorflow

conv-neural-network

tensorflow-slim