Custom layer gets error 'customlayer' object has no attribute 'layers'

General Discussion
, , ,
#1

I’ve made a custom layer with the class method and when I’m trying to call the class it shows this error message :

AttributeError                            Traceback (most recent call last)
<ipython-input-143-9ad907fef5b1> in <module>
----> 1 model.layers()

AttributeError: 'lane_detection_network' object has no attribute 'layers'

the code is here

class lane_detection_network(tf.Module):
    def __init__(self):
        super(lane_detection_network, self).__init__()

        self.resizing = resize_layer(3, 128)

        #feature extraction
        self.layer1 = hourglass_block(128, 128)
        self.layer2 = hourglass_block(128, 128)

    def call(self, inputs):
        #feature extraction
        out = self.resizing(inputs)
        result1, out = self.layer1(out)
        result2, out = self.layer2(out)      

        return [result1, result2]
#3

tf.Module is a base neural network module class that doesn’t have layers. Please follow creating custom layers and models via subclassing guide for more details. Thank you.