Support multiple types for Kompute Tensors

[axsaucedo]

Currently only uint32_t is supported but looking to support further types. This will also require evaluating how these are managed by "Algorithms" and "ParameterGroups"

[axsaucedo]

Currently refactored to make float the default - needs further exploration on best way to provide typing. The options are to make the Tensor a template, or to add the type as a member variables. It will be important to assess the advantages/disadvantages of each.

[axsaucedo]

@alexander-g I was looking that the vkjax does seem to somewhat support multiple dtypes, and I was currently assessing whether it would be worth adding the ability to support multiple types, for the Kompute tensors - is this something that would add a significant amount of value? Or would it be the case that most scientific compute can be done primarily through float32 types throughout?