I can run the correct result locally. Also updated the summary part for this PR to report the performance results.
However, I had the same issue as https://github.com/dmlc/tvm/issues/3598 for the OSS compilation error (http://ci.tvm.ai:8080/blue/organizations/jenkins/tvm/detail/PR-3388/11/pipeline). > TVMError: Check failed: is_one(e.region[i]->extent): Tensorize tensor_intrin: Input dimension mismatch with tensor intrin expected shape=[16, 4], given region=[range(min=((j.outer*16)/16), ext=(((((j.outer*16) + 15)/16) + 1) - j.outer)), range(min=(((((k.outer.outer*4) + k.outer.inner)*4)/4)*16), ext=((((((((k.outer.outer*16) + (k.outer.inner*4)) + 3)/4)*16) + 16) - (k.outer.inner*16)) - (k.outer.outer*64))), range(min=0, ext=4)] Any temporary workaround for that? cc @tqchen , @anijain2305 . -- 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/3388#issuecomment-516715735
