Fix kernel regularizers

Author: lgeiger

larq_zoo/literature/real_to_bin_nets.py

@@ -21,7 +21,7 @@ class _SharedBaseFactory(ModelFactory, metaclass=ABCMeta):
     model_name: str = Field()
     momentum: float = Field(0.99)
     kernel_initializer: str = Field("glorot_normal")
-    kernel_regularizer: Optional[tf.keras.regularizers.Regularizer] = Field(None)
+    kernel_regularizer = None
 
     def first_block(
         self, x: tf.Tensor, use_prelu: bool = True, name: str = ""

larq_zoo/literature/xnornet.py

@@ -2,7 +2,7 @@
 
 import larq as lq
 import tensorflow as tf
-from zookeeper import Field, factory
+from zookeeper import factory
 
 from larq_zoo.core import utils
 from larq_zoo.core.model_factory import ModelFactory
@@ -28,10 +28,6 @@ class XNORNetFactory(ModelFactory):
     kernel_quantizer = "xnor_weight_scale"
     kernel_constraint = "weight_clip"
 
-    kernel_regularizer: Optional[tf.keras.regularizers.Regularizer] = Field(
-        lambda: tf.keras.regularizers.l2(5e-7)
-    )
-
     @property
     def kernel_regularizer(self):
         return tf.keras.regularizers.l2(5e-7)