I am learning how to use classes in python to alter some Keras methods to create various forms of Generative Adversarial Networks, GANs. In this case, I am trying to implement the gradient penalty modification to the Wasserstein GAN architecture based on an example from the Keras website: https://keras.io/examples/generative/wgan_gp/ Since I am new to classes and inheritance, I decided to play around with some simple examples that try to match the Keras example. I am confused on this segment of code:
class WGAN(keras.Model):
def __init__(
self,
discriminator,
generator,
latent_dim,
discriminator_extra_steps=3,
gp_weight=10.0,
):
super(WGAN, self).__init__()
self.discriminator = discriminator
self.generator = generator
self.latent_dim = latent_dim
self.d_steps = discriminator_extra_steps
self.gp_weight = gp_weight
def compile(self, d_optimizer, g_optimizer, d_loss_fn, g_loss_fn):
super(WGAN, self).compile()
self.d_optimizer = d_optimizer
self.g_optimizer = g_optimizer
self.d_loss_fn = d_loss_fn
self.g_loss_fn = g_loss_fn
I tried making my own simple class and an inherited class following this example similar to the example from the W3schools website https://www.w3schools.com/python/python_inheritance.asp :
class Person:
def __init__(self, fname, lname):
self.firstname = fname
self.lastname = lname
def printname(self):
print(self.firstname, self.lastname)
class Student(Person):
def __init__(self, age, height):
super(Student, self).__init__()
self.age = age
self.height = height
I test it with:
s = Student(1,2)
I get the following error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_2168/1913336311.py in <module>
----> 1 s = Student(1,2)
~\AppData\Local\Temp/ipykernel_2168/376196858.py in __init__(self, age, height)
8 class Student(Person):
9 def __init__(self, age, height):
---> 10 super(Student, self).__init__()
11 self.age = age
12 self.height = height
TypeError: __init__() missing 2 required positional arguments: 'fname' and 'lname'
How is it possible to have the empty() after "super(WGAN, self).__ init __ in the Keras code but it is not working in mine. I feel like I am taking the same approach. Thanks
super refers to the parent class. Parent class of Student is Person. Person takes 2 arguments, so __init__() does not work. If you call Person class, you have to provide 2 inputs.
Parent class of WGAN is keras.Model, that does not require any arguments thus __init__() works.