TypeError: Input tensor should be a torch tensor. Got <class 'PIL.Image.Image'>.

This error message indicates that the input to a PyTorch function or model should be a tensor, but instead it received a PIL Image object. To fix this error, you need to convert the PIL Image object to a PyTorch tensor using the `transforms.ToTensor()` function. Here's an example:

import torch
from torchvision import transforms
from PIL import Image

# Load the image
img = Image.open('my_image.jpg')

# Define the transform
transform = transforms.Compose([
    transforms.Resize((224, 224)),
    transforms.ToTensor()
])

# Apply the transform to the image
img_tensor = transform(img)

# Pass the tensor to the PyTorch function or model
output = my_model(img_tensor)