AttributeError：“ numpy.ndarray”对象没有属性“ imshow”

如何解决AttributeError：“ numpy.ndarray”对象没有属性“ imshow”

dm = torch.as_tensor(cifar100_mean,**setup)[:,None,None]
ds = torch.as_tensor(cifar100_std,None]

def plot(tensor):
    tensor = tensor.clone().detach()
    tensor.mul_(ds).add_(dm).clamp_(0,1) # multiply ground_truth tensor value by ds then add dm,then clamp (limit the max and min boarder)
    if tensor.shape[0] == 1: #when num_iamge=1
        return plt.imshow(tensor[0].permute(1,2,0).cpu()); # convert (3,32,32) to (32,3)
    else:
        fig,axes = plt.subplots(4,5,figsize=(12,12)) #figsize=(12,tensor.shape[0]*12)
        for idx,img in enumerate(tensor):
            axes[idx].imshow(img.permute(1,0).cpu());

这是我用来制作20张图像作为子图的绘图功能。 （4行5列） 还有这部分

axes[idx].imshow(img.permute(1,0).cpu());

给我一​​条错误消息

AttributeError: 'numpy.ndarray' object has no attribute 'imshow'

和部分def plot(tensor):（张量）表示CIFAR100图像的列表。下面是我如何定义ground_truth。

from torchvision import models,datasets,transforms
toPIL = transforms.ToPILImage()
device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
#variables
num_images = 20

#in data_processing.py - for reference. Do not comment in again
# validloader = torch.utils.data.DataLoader(validset,batch_size=min(defs.batch_size,len(trainset)),#                                           shuffle=False,drop_last=False,num_workers=num_workers,pin_memory=PIN_MEMORY)
# validset = torchvision.datasets.CIFAR100(root=data_path,train=False,download=True,transform=transforms.ToTensor())

#images and labels
ground_truth,labels = [],[]
idx = 125 # choosen randomly ... just whatever you want
while len(labels) < num_images:
    img,label = validloader.dataset[idx]
    idx += 1
    if label not in labels:
        labels.append(torch.as_tensor((label,),device=setup['device']))
        ground_truth.append(img.to(device))

ground_truth = torch.stack(ground_truth)
labels = torch.cat(labels)
labels_print = [validloader.dataset.classes[l] for l in labels]

plot(ground_truth);
print(labels_print);

如何将20张图像打印为子图？任何其他方法都可以。