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
