I'm not sure I understand your question. Relay expression and TE expression are at different levels. For example `T_dense` is a TE tensor compute, which corresponds to one Relay op (e.g., `nn.dense`). On the other hand, TE compute can also be a result of a sequence of Relay ops. For example `T_dense[ax0, ax1] + placeholder[ax1]` can be lowered from `nn.bias_add(nn.dense(x, w), b)`.
In short, automatically generate `nn.bias_add(nn.dense(x, w), b)` from `T_dense[ax0, ax1] + placeholder[ax1]` seems impossible to me. You probably can only do it manually. --- [Visit Topic](https://discuss.tvm.apache.org/t/create-a-relay-expr-from-a-auto-scheduler-searchtask/10795/4) 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/c9adeb5c98ef8f8fc2ee0af16a25361331af9bb69b65150895d419e2b34f99b6).
