def sample_z()

in src/model_def.py [0:0]

• 4 lines of code
• 1 McCabe index (conditional complexity)

def sample_z(args):
    latent_dim, mu, log_sigma = args
    eps=keras.backend.random_normal(shape=(latent_dim,), mean=0., stddev=1.)
    return mu + keras.backend.exp(log_sigma/2) * eps