[FEA] Add cuTensorMapEncodeTiled to CudaHostAdapter

[drisspg]

Summary

We are currently working on integrating a fp8 scaled matmul kernel written using Cutlass into PyTorch. PyTorch has the constraint that it can be linked against the cuda driver api. There is one symbol/direct call to a cuda driver api cuTensorMapEncodeTiled that is causing issues.

We have a temporary workaround here: https://github.com/pytorch/pytorch/pull/125204#discussion_r1618787335

There was a suggestion to add this symbol to CudaHostAdapter so as to add one more layer of indirection. This would greatly aid in PyTorch in its utilization of Cutlass.