如何通过tensorflow在X_train，y_train，X_test，y_test中拆分图像数据集？

import tensorflow as tf
from sklearn.model_selection import train_test_split

# 加载图像数据集
(X, y) = load_dataset()

# 进行预处理，例如归一化、调整大小等
X = preprocess_images(X)

# 使用train_test_split函数将数据集拆分为训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=42)