You can save a python map:
m = {'a': tensor_a, 'b': tensor_b}
torch.save(m, file_name)
loaded = torch.load(file_name)
loaded['a'] == tensor_a
loaded['b'] == tensor_b

This is actually the same thing (with an OrderedDict) that happens when you store a model’s parameters using torch.save(model.state_dict(), file).