Update example

Author: kshyatt

src/tensors/tensor.jl

@@ -322,8 +322,9 @@ for randf in (:rand, :randn, :randexp, :randisometry)
         
     Generate a tensor `t` with entries generated by `$randf`.
     The type `TorA` can be used to control the element type and
-    data type generated. For example, if `TorA` is a `SparseVector{ComplexF32}`,
-    then the final output `TensorMap` will have that as its storage type.
+    data type generated. For example, if `TorA` is a `CuVector{ComplexF32}`
+    or `ROCVector{Float64}`, then the final output `TensorMap` will have
+    that as its storage type.
 
     See also [`Random.$(randf)!`](@ref).
     """