What hardware platform are you working for? For tensorize, you could add one compute / schedule template like ‘winograd_nnpack_fp32’ .
For tensorize, the external library is a must? Or could you just include the content we really need? In my opinion, tensorize microkernel should be just one file enough, we could have 4x8 / 8x8 ukernel and so on. If the external library is must, you should add src/contrib like NNPack. --- [Visit Topic](https://discuss.tvm.ai/t/upstreaming-tensorize-implementation/2199/2) 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/8982d8058502eb8030e86d1ef65783abbab90d29d2b314f65b7080e16638ac2e). Tianqi Chen, UW, Seattle, WA, 98105, United States http://tracking.discuss.tvm.ai/tracking/unsubscribe?msgid=NETdUm1-RLIjxmgdDVTs_g2
