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This will also annotate the function with the block size so the compiler can do a better job of optimizing.

Enable retrieving the code object to do tuning in the future.

Refactor dynamic compute
- add a compute_output_shape object that implicitly converts to a new dyn_output or shape object
- dyn_output object can handle computing the static output shape of an operator given the input arguments shapes
  change an operator's compute function to argument compute(const dyn_output& dyn_out, std::vector<argument> args) to 
  use dyn_output object

Dynamic ref unary functions
-  Included these changes to have an example of the refactored dynamic compute being used
-  Changes to unary base class to handle dynamic shapes
-  Changed elu and leaky_relu to use unary base class and pointwise JIT

* Remove unused headers

Updated each source file in the repo with the existing license.

Remove std references in runtime compilation since these are not available when using hiprtc and the headers may not be available on the system

Move to CI containers to rocm 5.0.2
upgrade to 20.04
free up some more file space in github action environments

This adds the infrastructure so we can compile everything in parallel, whereas before only pointwise kernels were compiled in parallel. This will also directly integrate with lowering and the gpu-driver. The kernels for pointwise and roialign are using this infrastructure. Scatternd is not since it does require standard shape.

This also makes it easier to add new runtime compiled kernels in the future.