introduction to pytorch listing - creating tensors with arbitrary dimensions in [ ] torch tensor([[[ ],[ ]],[[ ],[ ]]]in [ ] shape out[ ]torch size([ ]in [ ] out[ ]tensor([[[ ][ ]][[ ][ ]]]just as we can build tensors with python listswe can build tensors with numpy arrays this functionality can come in most handy when interfacing numpy code with pytorch listing - demonstrates creating tensors using numpy listing - creating tensors with numpy in [ ] torch tensor(numpy array([[ ],[ ]])in [ ] out[ ]tensor([[ ][ ]]dtype=torch float in [ ] shape out[ ]torch size([ ]we can also create tensor from an existing numpy -dimensional array using the from_numpy function listing - demonstrates the creation of tensors using pytorch' built-in function from_numpy to create tensors from numpy