@hht Hi, I was wondering if you implemented nn. upsample in the graph_pack process. At present, I am trying to implement Unet through VTA, but I met some problems in the graph_pack process. I suspect the reason is nn. upsample or torch.cat. A full description can be found in another post I wrote in [Can Upsample be implemented on VTA in graph_pack](https://discuss.tvm.apache.org/t/can-upsample-be-implemented-on-vta-in-graph-pack/11635)?. I’m sorry to bother you now. Since I just got in touch with TVM and VTA, I have encountered this problem, but it has not been solved after a long time of trying. I would like to ask if you have encountered this problem or can you provide some suggestions? I look forward to receiving your suggestions. Thank you!
--- [Visit Topic](https://discuss.tvm.apache.org/t/vta-a-workaround-for-deploying-faster-r-cnn-on-target-ext-dev-vta-and-arm-cpu/6516/12) 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/11bffc241944b8c44b1dd78dd10284ea05a9fc0005ee7ef398f3b8ea21c04b5d).
