Cat DCGAN

inputs.py

def model_inputs(real_dim, z_dim):
    """
    Create the model inputs
    :param real_dim: tuple containing width, height and channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate G, learning rate D)
    """
    # inputs_real for Discriminator
    inputs_real = tf.placeholder(tf.float32, (None, *real_dim), name='inputs_real')
    
    # inputs_z for Generator
    inputs_z = tf.placeholder(tf.float32, (None, z_dim), name="input_z")
    
    # Two different learning rate : one for the generator, one for the discriminator
    learning_rate_G = tf.placeholder(tf.float32, name="learning_rate_G")
    
    learning_rate_D = tf.placeholder(tf.float32, name="learning_rate_D")
    
return inputs_real, inputs_z, learning_rate_G, learning_rate_D

inputs_real = tf.placeholder(tf.float32, (None, *real_dim), name='input_real')
^
SyntaxError: invalid syntax

Why?