Make outputsize work with Embedding
#2088
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This was referenced Oct 16, 2022
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darsnack
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Oct 17, 2022
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| (m::Embedding)(x::Nil) = similar(m.weight, Nil, size(m.weight, 1)) | ||
| (m::Embedding)(x::AbstractArray{Nil}) = similar(m.weight, Nil, size(m.weight, 1), size(x)...) |
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Should these warn about the limitations? outputsize can be used in sanity checking contexts, so I think a user would be willing to accept a little noise.
ToucheSir
reviewed
Oct 21, 2022
| * `Embedding` accepts either integers or one-hot arrays, and `ohx = onehotbatch(x, ...)` | ||
| has one more dimension than `x`. Here `outputsize` uses `size(x)`. | ||
| * At present `outputsize` does not work with recurrent layers, | ||
| `outputsize(RNN(2 => 3), (2, 1))` gives an error. This is a bug. |
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| `outputsize(RNN(2 => 3), (2, 1))` gives an error. This is a bug. | |
| `outputsize(RNN(2 => 3), (2, 1))` gives an error. See https://github.com/FluxML/Flux.jl/pull/1755 for more. |
I'm not up to speed on any Embedding changes, but a link reference here would be nice.
|
Would this landing obsolete #1656? |
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Like #1656 this wants to make
outputsize(Embedding(3 => 4), (5,)) == (4, 5). That is, it thinks the size referred to byoutputsizeshould be the size of the array of vocabulary indices, not the size of the one-hot representation.But rather than overload indexing or
gather(as here https://github.com/FluxML/Flux.jl/pull/1656/files#diff-0dfa3b94337acdaa714025f5198f6907e6a50a59aac03ba1230fbcb681126da2R172) this just adds methods to(::Embedding). I think that's least likely to cause surprises. If indexing shows up elsewhere, we can decide then whether to extend.Restricting
(m::Embedding)(x::AbstractArray{<:Integer})also seems like the right thing to do, error right away on non-integer input.