Hi @anijain2305,
Yes, they are fused together, but at the end. `nn.conv2d` is usually implemented as three compute nodes: `pack+core+unpack`. The requantization operator is fused after the `unpack`, while the best would be to fuse after `core` (unpack can be hard to vectorize). However, this is a topic for another discussion :slight_smile: The relay operator I wrote should be fuse friendly, so it should not introduce any slow down. We need still to decide how to implement the `fpm` though :sweat_smile: --- [Visit Topic](https://discuss.tvm.ai/t/rfc-using-arm-intrinsics-to-implement-fixed-point-multiplication-in-tvm/7150/11) 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/699e30f56c411adfa497b1279a489c088c8901d067412febf2318d83a64600d1).
