ganler opened a new issue, #13030: URL: https://github.com/apache/tvm/issues/13030
### Expected behavior TVM should successfully compile a model whose operators are supoprted. ### Actual behavior For some cases, `trilu-argmin` cannot find a reduction strategy and thus throw: https://github.com/apache/tvm/blob/813136401a11a49d6c15e6013c34dd822a5c4ff6/python/tvm/topi/x86/reduction.py#L90 The reason is that in this case `trilu`'s `operator.tag` is empty which in fact is `injective` and thus fits into: https://github.com/apache/tvm/blob/813136401a11a49d6c15e6013c34dd822a5c4ff6/python/tvm/topi/x86/reduction.py#L84 I am not sure but maybe we need to put proper operator tag for `trilu`? ### Environment fa17da22c73fb9e95c27e4c28130835b628caf6b on Ubuntu 20.04. ### Steps to reproduce Preferably a minimal script to cause the issue to occur. ```python import tvm from tvm import relay i0 = relay.var("i0", shape=[2, 2], dtype="int32") i1 = relay.var("i1", shape=(), dtype="int64") v0 = relay.trilu(i0, i1) v1 = relay.argmin(v0, axis=[0]) f = relay.Function([i0, i1], v1) relay.create_executor("graph", device=tvm.cpu(), target="llvm").evaluate(f) ``` ### Triage Please refer to the list of label tags linked above to find the relevant tags and add them here in a bullet format (example below). * needs-triage cc: @jwfromm -- 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]
