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function returned(model::Model, parameters::Union{NamedTuple,AbstractDict{<:VarName}}) |
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vi = DynamicPPL.setaccs!!(VarInfo(), ()) |
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# Note: we can't use `fix(model, parameters)` because |
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# https://github.com/TuringLang/DynamicPPL.jl/issues/1097 |
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# Use `nothing` as the fallback to ensure that any missing parameters cause an error |
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ctx = InitContext(Random.default_rng(), InitFromParams(parameters, nothing)) |
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new_model = setleafcontext(model, ctx) |
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# We can't use new_model() because that overwrites it with an InitContext of its own. |
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return first(evaluate!!(new_model, vi)) |
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end |
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Base.@deprecate returned(model::Model, values, keys) returned( |
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model, NamedTuple{keys}(values) |
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) |
#1096 implemented returned(::Model, ::AbstractDict). But, since we probably want to extend InitFromParams to accept multiple different inputs, we should actually generalise this to returned(::Model, x) for any x that InitFromParams supports.
For example, since TuringLang/Turing.jl#2710 implements InitFromParams(::ModeResult), doing this would automatically fix TuringLang/Turing.jl#2607.
