Hi @giuseros
You are correct that `qnn.conv2d` and `qnn.requantize` are different operators. And both of them are lowered to a sequence of Relay operators. But, here the strength of Relay comes in. Relay fuses `nn.conv2d` followed by a large number of elemwise ops into one operator. This can be seen by printing the Relay IR after fusion pass. It might be the case that your operator is also fusion-friendly and if yes, then this point is not important. --- [Visit Topic](https://discuss.tvm.ai/t/rfc-using-arm-intrinsics-to-implement-fixed-point-multiplication-in-tvm/7150/10) 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/556e7f75219dbc6bdaf635b0f8ac2238d864ecb2a0b4556b19c48c77da36186a).
