使用torch或torchvision，我如何调整图像批次的大小和裁剪，并同时获得缩放比例和新图像？

import torch
import torchvision.transforms as transforms
from PIL import Image

def adjust_batch_size_and_crop(image_path, batch_size, new_size, crop_size):
    # 加载图像
    image = Image.open(image_path)

    # 定义图像转换操作
    transform = transforms.Compose([
        transforms.Resize(new_size),
        transforms.CenterCrop(crop_size),
        transforms.ToTensor()
    ])

    # 调整图像批次大小
    transform_batch = transforms.Compose([
        transforms.Resize(new_size),
        transforms.CenterCrop(crop_size),
        transforms.ToTensor(),
        transforms.Lambda(lambda x: x.repeat(batch_size, 1, 1, 1))
    ])

    # 应用图像转换操作
    transformed_image = transform(image)
    transformed_batch = transform_batch(image)

    # 计算缩放比例
    scale_ratio = new_size[0] / crop_size[0]

    return transformed_batch, scale_ratio, transformed_image

image_path = "path/to/your/image.jpg"
batch_size = 4
new_size = (256, 256)
crop_size = (224, 224)

transformed_batch, scale_ratio, transformed_image = adjust_batch_size_and_crop(image_path, batch_size, new_size, crop_size)

print("调整后的图像批次大小：", transformed_batch.size())
print("缩放比例：", scale_ratio)
print("调整后的图像大小：", transformed_image.size())