[CPU] Enable memory reuse for nested graphs

[EgorDuplensky]

Details:

• All the nested graphs are now must be a part of a global memory reuse logic
• The core logic of the memory reuse is untouched (a bit refactored)
• Instead of solving memory reuse for every graph / subgraph, now all the edges and global execution indices are collected from the "virtually flatten" graph first and then memory reuse is solved once for a model.
• All the nodes with nested graphs are updated, including:
  1. LoRa
  2. Composite
  3. If
  4. TensorIterator
  5. Convolution + Sum fallback subgraph

Tickets:

• ticket-id

[EgorDuplensky]

@maxnick Ready for review. Could you please take a look?

[EgorDuplensky]

Added a fix for Convolution + Sum fallback graph.
Now such graph is also a part of memory reuse.