[RELAY][GRAD] Fix first-order AD on tuple arguments #6827
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jroesch
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Nov 2, 2020
| } | ||
| return ll->Push(Tuple(updates)); | ||
| } else { | ||
| LOG(FATAL) << "unsupported arg type of operator: " << t; |
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Can we try and do diagnostics here? we could put into improve AD with diagnostics
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I agree on this but it will probably need some refactoring, we might as well do it for the whole pass (first-order and higher-order). I think a separate PR will be ideal.
jroesch
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MarisaKirisame
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The first-order AD currently incorrectly deals with functions with tuple arguments, in particular by trying to add tuples when summing the gradients. Notably, this causes errors in the gradients of functions like
stackwhich take a tuple of tensors. This PR lifts addition to work on the tuples (which was already done by the higher-order AD).However, higher-order AD currently does not support tuples in the top-level function, and I added an xfail test to show this. I'm not sure how hard it is to change the higher-order code to support tuples at the top-level, so maybe someone else can take a look.
cc @MarisaKirisame @t-vi