'my_layer' object has no attribute '_dynamic' - keras

Question

I want to design a model by tensorflow2.0,when Icompile the model,it report an error
'my_layer' object has no attribute '_dynamic'
the code is
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
class my_layer(layers.Layer):
def __init__(self,classes):
self.conv1 = layers.Conv2D(32,(3,3),strides=1,padding='same')
self.conv2 = layers.Conv2D(64,(3,3),strides=1,padding='same')
self.conv3 = layers.Conv2D(32, (3, 3), strides=1, padding='same')
self.conv4 = layers.Conv2D(classes, (3, 3), strides=1, padding='same')
self.bn = layers.BatchNormalization()
self.glbavgpool = layers.GlobalMaxPooling2D()
self.fc = layers.Dense(classes)
def call(self,inputs):
x = self.conv1(inputs)
x = self.bn(x)
x = keras.activations.relu(x)
x = self.conv2(x)
x = keras.activations.relu(x)
x = self.conv3(x)
x = self.conv4(x)
x = self.bn(x)
x = self.glbavgpool(x)
out = self.fc(x)
return out
class mymodel(keras.Model):
def __init__(self,classes):
super(mymodel,self).__init__()
self.ml = my_layer(classes=classes)
def call(self,inputs):
return self.ml(inputs)
then I put all the custom layers to my_model, it worked. I think it's probably the wrong way to use mylayer.

Answer 1

You're seeing this error because you forgot to call the superclass constructor in your my_layer class. Add this following line:
class my_layer(layers.Layer):
def __init__(self,classes):
super(my_layer, self).__init__() # <-- Remember to call superclass constructor!!
self.conv1 = layers.Conv2D(32,(3,3),strides=1,padding='same')
self.conv2 = layers.Conv2D(64,(3,3),strides=1,padding='same')
self.conv3 = layers.Conv2D(32, (3, 3), strides=1, padding='same')
self.conv4 = layers.Conv2D(classes, (3, 3), strides=1, padding='same')
self.bn = layers.BatchNormalization()
self.glbavgpool = layers.GlobalMaxPooling2D()
self.fc = layers.Dense(classes)