You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@tvm.apache.org by Anand Venkat via TVM Discuss <no...@discuss.tvm.ai> on 2019/04/12 17:47:21 UTC

[TVM Discuss] [Development] Upstreaming tensorize implementation


Hi,

I'd like to contribute my implementation of conv2d that relies on tensorize, The tensorize calls an external library api for GEMM. Could I ask what is the best way to add this implementation to TVM please? Right now I have a python script that uses tensorize and I load the external library(.so) from the script and call_extern within the tensorize implementation. The script benchmarks the individual convolutional layers in ResNet

My question is where in the TVM repository do I upstream the script? Also what is the best way to add the dependency on the external library? Should I add to src/contrib?

I can give more details and the implementation source if requried.

Thanks,
Anand





---
[Visit Topic](https://discuss.tvm.ai/t/upstreaming-tensorize-implementation/2199/1) 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/a7d1cf1288ea5f632568b434ae9a6320e70e69d083c18afbcc5eefd1f94cd0ad).

Tianqi Chen, UW, Seattle, WA, 98105, United States
http://tracking.discuss.tvm.ai/tracking/unsubscribe?msgid=SLaJW_1R__r18E4OEk6G-w2