A Plan stores all the resources (preallocated buffers, custom CUDA kernels) required to evaluate nodes from the Operation graph.
An instance of Plan can be constructed using the compileCUDA function. The primary use case for a CUDAPlan is when the same set of operations are likely to be evaluated more than once. This prevents the dopt CUDA runtime from reallocating and optimising the CUDA kernels every time the same set of operations is to be executed.
A destructor is present on this object, but not explicitly documented in the source.
Releases CUDA resources associated with this plan.