**Motivation:**
Existing `TensorIntrin` has "reduce_init" and "reduce_update" to support the tensorization of reduce_axis == 0 and reduce_axis > 0 specifically, which is already well suited for many cases. However, the support for activation fusion is still missing, because it lacks of facilities to handle reduce_axis = reduce_dim - 1 case. For example: <pre> </pre> --- [Visit Topic](https://discuss.tvm.apache.org/t/rfc-tensorize-add-reduce-last-property-for-tensorintrin-to-support-activation-fusion/11385/1) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.apache.org/email/unsubscribe/a80f9be0428146cb512fac25045c6b4c17a5e4d3ff75f7e4bddcfaf34c38e6ab).
