US 12,423,891 B2
Systems and methods for visualizing tensor datasets
Ivo Stranic, Brooklyn, NY (US); Tatevik Hakobyan, Burlington, MA (US); Davit Buniatyan, Mountain View, CA (US); Sasun Hambardzumyan, Yerevan (AM); and Hrant Topchyan, Yerevan (AM)
Assigned to Snark AI, Inc., San Francisco, CA (US)
Filed by Snark AI, Inc., San Francisco, CA (US)
Filed on Jan. 6, 2023, as Appl. No. 18/094,187.
Prior Publication US 2024/0233222 A1, Jul. 11, 2024
Int. Cl. G06T 11/60 (2006.01); G06F 16/22 (2019.01); G06F 16/25 (2019.01); G06F 16/26 (2019.01); G06T 3/20 (2006.01); G06T 3/40 (2024.01)
CPC G06T 11/60 (2013.01) [G06F 16/2264 (2019.01); G06F 16/258 (2019.01); G06F 16/26 (2019.01); G06T 3/20 (2013.01); G06T 3/40 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method, comprising:
identifying, by one or more processors, filtering criteria for displaying a multi-dimensional sample dataset within a display region of a graphical user interface;
selecting, by the one or more processors, based on the filtering criteria, a subset of samples from the multi-dimensional sample dataset, each sample of the subset of samples associated with a respective set of tensors that are to be displayed within the display region;
generating, by the one or more processors, a set of fetch requests for display data corresponding to the respective set of tensors of the subset of samples;
mapping, by the one or more processors, the display data retrieved according to the set of fetch requests to respective display locations for display in the display region; and
presenting, by the one or more processors, the display data associated with the respective set of tensors in the display region according to the mapping.