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以下はコードの簡略版です。行でエラーが発生していますres = input - var

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

変数の種類

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

エラー

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

どうすれば解決できますか、どんな提案も役に立ちます。

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