This PR replaces the standard configured_raft_resources handle to a customized handle for CAGRA-HNSW benchmark.
This resource handle uses a single managed memory resource for all: RMM default memory resource, RAFT workspace resource, RAFT large workspace resource. For raft workspace resource, a pool is used as usual to speedup frequent allocations.

The rationale behind this change is to allow using all available GPU memory through all stages of CAGRA build.
Before this change, by default, we have a regular device memory pool for everything except the large allocations; the large_memory_resource uses the managed memory. The problem with this behavior is that this pool grows during internal IVF-PQ build/search (the whole IVF-PQ index is stored in there), but doesn't shrink back during the graph optimization stage. As a result, the large allocations during the optimization stage severely oversubscribe UVM and degrade performance to a complete halt.
With the new change, the RMM default memory resource is not a member of the pool. Hence the pool stays relatively small (limited be the workspace resource adapter). And even the small pool that is left can be paged out by UVM when it's not actively in use.