Dayuxiaoshui opened a new pull request, #18499: URL: https://github.com/apache/tvm/pull/18499
This commit adds support for sparse matrix multiplication and random number generation in PyTorch frontend. Changes: - Add _sparse_mm() method to handle sparse matrix multiplication - Add _sparse_addmm() method to handle sparse addmm operations - Add _randn() method to handle torch.randn random number generation - Register these operations in the convert_map The fix ensures that PyTorch models containing sparse matrix operations and random number generation can be successfully converted to TVM Relax modules. Fixes #18476 -- 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] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
