Patent ID: 11967133
Assignee: TATA CONSULTANCY SERVICES LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. The system of claim 9, wherein the one or more hardware processors are further configured to identify the optimal hardware software partition for jointly partitioning the first subsequence of layers of the classifier and the second subsequence layers corresponding to the shared feature extractor and the localizer into a) the first set of layers to be implemented in the shared feature extractor and b) the second set of layers to be implemented in the classifier and the localizer by:
identifying an initial partition defining the first set of layers and the second set of layers based on qualitative analysis of feature maps that represent the input image in the feature space;
training the integrated DL model, built in accordance with the initial partition, to jointly learn the classification task and the localization task based in the integrated loss function (L); and
fine tuning the initial partition by performing layer wise partitioning of the first set of layers and the second set of layers by:
selecting, freezing, and converting the first set of layers identified in the initial partitioning for deploying and executing in the GPE;
re-training the second set of layers without training the first set of layers deployed on the GPE, wherein the second set of layers are retrained using an intermediate output of (i) the first set of layers and (ii) the second set of the layers; and
determining a partition point between the first set of layers and the second set of layers by;
exporting a plurality of partition points, and partitioned models based on different subsequences of layers, with a set of resultant accuracy and latency combinations; and
selecting (i) an optimal configuration of accuracy and latency based on an end application requirement and (ii) a corresponding partition point among the plurality of partition points as the optimal hardware software partitioning.