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.