Scheduling configuration for deep learning networks
Abstract:
In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to traverse a solution space, score a plurality of solutions to a scheduling deep learning network execution, and select a preferred solution from the plurality of solutions to implement the deep learning network. Other embodiments are also disclosed and claimed.
Public/Granted literature
Information query
Patent Agency Ranking
0/0