pytorch random tensor generation with one fix value and rest of random value

In my testing dataset, I have to always include one specific image(image at position 0) in each batch but others values can be randomly selected. So I am making a tensor which will have 1st value 0 (for 1st image) and the rest of others can be anything other than 0. My code snippet is as below-

a= torch.randperm(len(l-1)) #where l is total no of testing image in dataset, code output->tensor([10, 0, 1, 2, 4, 5])
b=torch.tensor([0]) # code output-> tensor([0])
c=torch.cat((b.view(1),a))# gives output as -> tensor([0, 10, 0, 1, 2, 4, 5]) and 0 is used twice so repeated test image

However, above approach can include 0 twice as torch.randperm many times includes 0. Is there a way in torch to generate random number skipping one specific value. Or if you think other approach will be better please comment.