t-vi opened a new pull request #5791: URL: https://github.com/apache/incubator-tvm/pull/5791
Contrary what you might expect, this doesn't share as much code with the combine dense pass as it does with the combine 2d conv pass. This is because it concatenates the "output feature" dimensions just like the 2d conv pass concatenates output channels, whereas combine dense stacks the various matmul arguments. I'm not sure if there is a deeper reason not to concatenate for dense, too, but maybe there is. ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: [email protected]
