[Relay][Training] fix first-order AD tuple/projection expr duplication #8318
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jroesch
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Jun 23, 2021
| TupleGetItem orig = TupleGetItem(tup->get<ADTensor>().forward, idx); | ||
| orig->checked_type_ = op->checked_type(); | ||
| auto ret = std::make_shared<ADTensor>(ll, orig, diag_ctx); | ||
| // for orig = pi(tup, i), pi_grad(tup, i, g) = G where pi(G, i) = g and pi(G, j) = 0 for j != i |
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sure, this is just describing how the gradient for a projection is propagated back to the original tuple
jroesch
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Tuples constructions and projections were not handled correctly (in particular, they were not reconstructed using the let bindings of their inputs) which led to expression duplication. Often the CSE pass is able to eliminate this erroneous duplication when first-order AD was paired with ToGNF but sometimes it can't (which we observed in BERT training, leading to many duplicated matmuls).
cc @MarisaKirisame @jroesch