Patent ID: 11961001
Assignee: NVIDIA CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method, comprising:
identifying even processing layers and odd processing layers in a sequence of multiple processing layers included in a neural network model, wherein the sequence alternates between each of the odd processing layers and each of the even processing layers;
decoupling the odd processing layers and the even processing layers to produce a parallel neural network system comprising an even neural network model that includes the even processing layers in a first sequence and does not include the odd processing layers and a separate and independent odd neural network model that is decoupled from the even neural network model and includes the odd processing layers in a second sequence and does not include the even processing layers;
processing, based on a block bi-diagonal lower triangular system of equations, odd input data by the odd neural network model according to odd parameter values to produce an odd output and even input data by the even neural network model according to even parameter values to produce an even output;
updating the odd parameter values based on a first difference between the odd output and an odd ground truth output; and
updating the even parameter values based on a second difference between the even output and an even ground truth output.