Re: [dmlc/tvm] [RFC] Winograd NNPACK for the ARM_CPU backend (#2692)
Closed #2692. -- 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/issues/2692#event-2231023869
Re: [dmlc/tvm] [COMMUNITY] @hlu1 -> Reviewer (#3021)
Thanks @tqchen, glad to be a reviewer and looking forward to contributing more in the future. -- 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/3021#issuecomment-482881130
Re: [dmlc/tvm] [Relay][RFC] Garbage Collection (#3423)
@MarisaKirisame, https://github.com/dmlc/tvm/pull/3448 was the leak @ajtulloch was referring to. -- 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/issues/3423#issuecomment-506540526
Re: [dmlc/tvm] [Community] Hao Lu -> Committer (#3789)
@ziheng and @icemelon9, thanks very much. Looking forward to contributing more in the future! -- 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/3789#issuecomment-522184711
Re: [dmlc/tvm] [VOTE] Add "Organizations contributing using and contributing to TVM" Section to Community Webpage (#4162)
+1 -- You are receiving this because you commented. Reply to this email directly or view it on GitHub: https://github.com/dmlc/tvm/issues/4162#issuecomment-544779150
[TVM Discuss] [Development] Explore Optimizations for Concat
We have found a simple workaround in the case of concatenating 2D tensors (currently our most common use case). By unrolling the last axis, llvm is smart enough to generate vectorized code and the performance is even better than c code in caffe2. For benchmark numbers, see https://gist.github.com/ajtulloch/d3b47517721c71c09375fd76f387e718 from @ajtulloch. --- [Visit Topic](https://discuss.tvm.ai/t/explore-optimizations-for-concat/2435/9) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/7ae4490f47fc913bda389acda4e01a203491e081ed484ddfe429e79b48fea20c). Tianqi Chen, UW, Seattle, WA, 98105, United States http://tracking.discuss.tvm.ai/tracking/unsubscribe?msgid=BojjmDIBV4i0i1amSwIFLQ2
[TVM Discuss] [Development] Explore Optimizations for Concat
Sounds good. Will do. --- [Visit Topic](https://discuss.tvm.ai/t/explore-optimizations-for-concat/2435/11) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/488cbb585026277025731197c45622733ceca0ef5cfea3c712af4968a22bf0ff). Tianqi Chen, UW, Seattle, WA, 98105, United States http://tracking.discuss.tvm.ai/tracking/unsubscribe?msgid=o-yQDyNddd25K9yp9x_0Gg2