【CFA】关于对initialize_centroid中 self.gamma_c的理解？ what does this “ self.gamma_c” which is in initialize_centroid do？

[StarShang]

[code=python]
def initialize_centroid(self, data_loader: DataLoader) -> None:
if self.gamma_c > 1:
# TODO: Create PyTorch KMeans class.
k_means = KMeans(n_clusters=(self.scale[0] * self.scale[1]) // self.gamma_c, max_iter=3000)
cluster_centers = k_means.fit(self.memory_bank.cpu()).cluster_centers_
self.memory_bank = torch.tensor(cluster_centers, requires_grad=False).to(device)
[/code]

请问怎么理解 源代码中 在初始化memorybank的时候 self.gamma_c的作用 以及k-means的作用吗？