Hi, I am also facing same warning issue while running ***resnet-50*** on **'GeForce GTX 1070'** with *--model=1080ti*, and taking **4.58ms** for [inferencing](https://github.com/apache/incubator-tvm/blob/master/apps/benchmark/gpu_imagenet_bench.py) which is nearly twice than actual expected value(w.r.t benchmark on 1080ti). Do I need to fine-tune those workloads for hardware? or is there any pre-tuned cache available for 1070?
Please help me on this. --- [Visit Topic](https://discuss.tvm.ai/t/quick-start-tutorial-gives-cannot-find-config-for-target-cuda-model-unknown-workload-conv2d-nchw-cuda/5874/3) 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/5d9e2dd6e8e7b0d0639f65c8dd69b6796d83979577c874f6c85fffdaa262993c).
