> @mshawcroft @weberlo @tmoreau89 please help to review if you have time and > https://docs.tvm.ai/contribute/code_review.html#approve-and-request-changes-explicitly
So I've not had the time to study the code in detail, sorry, I would like to, but it won;t happen this week. Skimming the code does raise one immediate question: Are we sure the memory management policy implemented in the module does not lead to fragmentation? -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/dmlc/tvm/pull/3567#issuecomment-514129051
