Most of torchvision's transformations use PIL internally. I’m not sure, if PIL (or a substitute) can handle 10-channel images, so you could instead apply each transformation channel-wise, use other libraries (e.g. numpy or some scipy package) or write the transformations manually in PyTorch.
Which transformations do you need?