Abstract: Systems and methods for executing queries on tensor datasets are disclosed. A system can identify a query for a multi-dimensional sample dataset. Each sample of the multi-dimensional sample dataset can include one or more tensors. Each tensor of the one or more tensors can be associated with a respective identifier that is common to each sample of the multi-dimensional sample dataset. The query specifying a first identifier of a first tensor of the multi-dimensional sample dataset and a first range of a first dimension of the first tensor, or one or more operations such as sampling, grouping, ungrouping, or transformation operations, to perform on the first tensor of the multi-dimensional sample dataset. The system can parse the query, and execute the query to generate query results. The system can provide the query results as output.
Type:
Grant
Filed:
June 14, 2023
Date of Patent:
January 30, 2024
Assignee:
Snark AI, Inc.
Inventors:
Sasun Hambardzumyan, Ivo Stranic, Tatevik Hakobyan, Davit Buniatyan