MasterJH5574 opened a new pull request, #13982: URL: https://github.com/apache/tvm/pull/13982
This PR introduces the high-level tensor computation operators in Relax. The operators are categorized into the following kinds: * unary, for operators with single tensor input, mainly arithmatic computations, * binary, for operators with two inputs, mainly arithmatic or comparison computations, * ternary, for operators with three inputs, * creation, for operators that create a tensor, * datatype, for operators that focus on datatype, * indexing, for operators that index a tensor, * linear algebra, * manipulation, for operators that manipulates a tensor, in the form of reshape, permute dims, etc., * search, for operators that do searching, * set, for operators that work on sets, * statistical, for operators on compute statistic * neural network, * image. Co-authored-by: Siyuan Feng <[email protected]> Co-authored-by: Chaofan Lin <[email protected]> Co-authored-by: Prakalp Srivastava <[email protected]> -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
