相关疑难解决方法(0)

我需要一种方法来获取 TensorFlow 中任何类型层（即 Dense、Conv2D 等）的输出张量的形状。根据文档，有output_shape解决问题的财产。但是，每次我访问它时，我都会得到AttributedError.

这是显示问题的代码示例：

import numpy as np
import tensorflow as tf


x = np.arange(0, 8, dtype=np.float32).reshape((1, 8))
x = tf.constant(value=x, dtype=tf.float32, verify_shape=True)

dense = tf.layers.Dense(units=2)

out = dense(x)

with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    res = sess.run(fetches=out)
    print(res)
    print(dense.output_shape)

该print(dense.output_shape)语句将产生错误消息：

AttributeError: The layer has never been called and thus has no defined output shape.

或print(dense.output)将产生：

AttributeError('Layer ' + self.name + ' has no inbound nodes.')
AttributeError: Layer dense_1 has no …