You are viewing a plain text version of this content. The canonical link for it is here.

Posted to dev@tvm.apache.org by Mengbo Z via Apache TVM Discuss <no...@discuss.tvm.ai> on 2021/12/07 02:45:14 UTC

[Apache TVM Discuss] [Development] [VTA] A Workaround for Deploying Faster R-CNN on Target ext_dev(VTA and ARM CPU)


@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).