Python 示例中的打字错误“；使用Keras在Tensorflow中自定义图层；

我认为Tensorflow中有一个使用Keras构建自定义层的错误。本教程介绍如何使用渴望模式。唯一缺失的部分是

super(MySimpleLayer, self).__init__() 

在init方法中：

class MySimpleLayer(tf.keras.layers.Layer):
  def __init__(self, output_units):
    **super(MySimpleLayer, self).__init__()**
    self.output_units = output_units

  def build(self, input):
    # The build method gets called the first time your layer is used.
    # Creating variables on build() allows you to make their shape depend
    # on the input shape and hence remove the need for the user to specify
    # full shapes. It is possible to create variables during __init__() if
    # you already know their full shapes.
    self.kernel = self.add_variable(
      "kernel", [input.shape[-1], self.output_units])

  ...

---

init方法只需要：

super(MySimpleLayer, self).__init__()

如果没有此行，将显示缺少属性的错误，例如：

AttributeError: 'MySimpleLayer' object has no attribute '_scope'

，它们是父类的一部分