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2 changes: 1 addition & 1 deletion Project.toml
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
name = "Zygote"
uuid = "e88e6eb3-aa80-5325-afca-941959d7151f"
version = "0.6.37"
version = "0.6.38"

[deps]
AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"
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1 change: 1 addition & 0 deletions src/compiler/chainrules.jl
Original file line number Diff line number Diff line change
Expand Up @@ -106,6 +106,7 @@ Convert `x` from the differentials types ChainRules uses to the format Zygote us
# Zygote convention: even if many AbstractZero partials (i.e. multi-input function), make just 1 nothing.
@inline wrap_chainrules_output(x::Tuple{Vararg{ChainRules.AbstractZero}}) = nothing
@inline wrap_chainrules_output(x::ChainRules.AbstractZero) = nothing
@inline wrap_chainrules_output(x::ChainRulesCore.NotImplemented) = nothing
for T_outer in (:Tuple, :NamedTuple)
# we create separate methods rather than using a `Union` + an `if` so that we avoid a
# branch that changes output type, because nested AD on that kinda thing makes Zygote less
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12 changes: 12 additions & 0 deletions test/chainrules.jl
Original file line number Diff line number Diff line change
Expand Up @@ -263,6 +263,18 @@ using Zygote: ZygoteRuleConfig
@test (1.0,) == Zygote.gradient(oout_id_outer, π)
@test oout_id_rrule_hitcount[] == 0
end

# issue #1204
@testset "NotImplemented" begin
f_notimplemented(x) = x
@scalar_rule f_notimplemented(x) @not_implemented("not implemented :(")
@test Zygote.gradient(f_notimplemented, 0.1) === (nothing,)
@test Zygote.gradient(x -> f_notimplemented(x[1]), 0.1) === (nothing,)
if isdefined(Base, :only)
@test Zygote.gradient(x -> f_notimplemented(only(x)), (0.1,)) === (nothing,)
@test Zygote.gradient(x -> f_notimplemented(only(x)), [0.1]) === (nothing,)
end
end
end

@testset "ChainRulesCore.rrule_via_ad" begin
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