I tried changing some of the code of Turing.jl's @model
macro, with the curios effect that macro expansion doesn't work -- with a malformed expression
syntax error -- but the macro actually works... any idea what could cause something like that?
julia> @model function demo4(n, ::Type{TV}=Vector{Float64}) where {TV}
m ~ Normal()
x = TV(undef, n)
@show __varinfo__
for i in eachindex(x)
x[i] ~ Normal(m, 1.0)
end
end
ERROR: syntax: malformed expression
Stacktrace:
[1] top-level scope
@ REPL[9]:1
julia> @macroexpand @model function demo4(n, ::Type{TV}=Vector{Float64}) where {TV}
m ~ Normal()
x = TV(undef, n)
@show __varinfo__
for i in eachindex(x)
x[i] ~ Normal(m, 1.0)
end
end
:($(Expr(:error, "malformed expression")))
julia> var"@model"(LineNumberNode(1), Main, :(function demo4(n, ::Type{TV}=Vector{Float64}) where {TV}
m ~ Normal()
x = TV(undef, n)
@show __varinfo__
for i in eachindex(x)
x[i] ~ Normal(m, 1.0)
end
end))
:(#= /home/philipp/git/DynamicPPL.jl/src/compiler.jl:517 =# (Base).@__doc__ function demo4(n, ::Type{TV} = Vector{Float64}; ) where TV
#= line 1 =#
evaluator = ((__model__::Model, __varinfo__::AbstractVarInfo, __context__::DynamicPPL.AbstractContext, n, ::Type{TV}) where TV->begin
begin
#= REPL[7]:1 =#
#= REPL[7]:2 =#
begin
vn = (VarName){:m}()
inds = ()
isassumption = begin
let vn = (VarName){:m}()
if (DynamicPPL.contextual_isassumption)(__context__, vn)
if !((DynamicPPL.inargnames)(vn, __model__)) || (DynamicPPL.inmissings)(vn, __model__)
true
else
m === missing
end
else
false
end
end
end
if isassumption
m = (DynamicPPL.tilde_assume!)(__context__, (DynamicPPL.unwrap_right_vn)((DynamicPPL.check_tilde_rhs)(Normal()), vn)..., inds, __varinfo__)
else
if !((DynamicPPL.inargnames)(vn, __model__))
m = (DynamicPPL.getvalue_nested)(__context__, vn)
end
(DynamicPPL.tilde_observe!)(__context__, (DynamicPPL.check_tilde_rhs)(Normal()), m, vn, inds, __varinfo__)
end
end
#= REPL[7]:3 =#
x = TV(undef, n)
#= REPL[7]:4 =#
begin
Base.println("__varinfo__ = ", Base.repr(begin
#= show.jl:955 =#
local var"#37#value" = __varinfo__
end))
var"#37#value"
end
#= REPL[7]:5 =#
for i = eachindex(x)
vn = (VarName){:x}(((i,),))
inds = ((i,),)
isassumption = begin
let vn = (VarName){:x}(((i,),))
if (DynamicPPL.contextual_isassumption)(__context__, vn)
if !((DynamicPPL.inargnames)(vn, __model__)) || (DynamicPPL.inmissings)(vn, __model__)
true
else
#= /home/philipp/git/DynamicPPL.jl/src/compiler.jl:90 =# @views(x[i]) === missing
end
else
false
end
end
end
if isassumption
x[i] = (DynamicPPL.tilde_assume!)(__context__, (DynamicPPL.unwrap_right_vn)((DynamicPPL.check_tilde_rhs)(Normal(m, 1.0)), vn)..., inds, __varinfo__)
else
if !((DynamicPPL.inargnames)(vn, __model__))
x[i] = (DynamicPPL.getvalue_nested)(__context__, vn)
end
(DynamicPPL.tilde_observe!)(__context__, (DynamicPPL.check_tilde_rhs)(Normal(m, 1.0)), #= /home/philipp/git/DynamicPPL.jl/src/compiler.jl:90 =# @views(x[i]), vn, inds, __varinfo__)
end
end
end
end)
return (Model)(:demo4, evaluator, NamedTuple{(:n, :TV)}((n, TV)), NamedTuple{(:TV,)}((Vector{Float64},)))
end)
julia> var"@model"(LineNumberNode(1), Main, :(function demo4(n, ::Type{TV}=Vector{Float64}) where {TV}
m ~ Normal()
x = TV(undef, n)
@show __varinfo__
for i in eachindex(x)
x[i] ~ Normal(m, 1.0)
end
end)) |> eval
demo4 (generic function with 2 methods)
julia> demo4
demo4 (generic function with 2 methods)
julia> demo4(10)
Model{var"#1#2", (:n, :TV), (:TV,), (), Tuple{Int64, DataType}, Tuple{DataType}, DefaultContext}(:demo4, var"#1#2"(), (n = 10, TV = Vector{Float64}), (TV = Vector{Float64},), DefaultContext())
I don't know what is going on but I'd try
macro f(ex)
global INPUT = deepcopy(ex)
ans = ... implementation of f ...
global OUTPUT = deepcopy(ans)
return ans
end
to see the real input and output when expanding the macro.
index fb3e732d41..6f8aff9874 100644
--- a/src/jlfrontend.scm
+++ b/src/jlfrontend.scm
@@ -22,10 +22,10 @@
`(incomplete ,msg)
(cons 'error (cdr e))))
(begin
- ;;(newline)
- ;;(display "unexpected error: ")
- ;;(prn e)
- ;;(print-stack-trace (stacktrace))
+ (newline)
+ (display "unexpected error: ")
+ (prn e)
+ (print-stack-trace (stacktrace))
'(error "malformed expression"))))
thk))
If you have access to a source build, you could also have it spit out the full lispy error
Thanks for the tip @Jameson Nash, here's the output. Top of the stack trace:
(type-error car cons ())
unexpected error: #0 (caddr (:: (curly Type TV)))
#1 (resolve-expansion-vars-
(kw (:: (curly Type TV)) (curly Vector Float64))
((n . |#118#n|) (|#unused#| . |#119##unused#|) (TV . |#120#TV|))
#<julia: DynamicPPL> () #t)
So it's not happy with the Type
in there, or what?
Apparently the hygiene pass does not know about the ::Type{TV}=Vector{Float64}
syntax
Appearently so... I raised an issue.
Philipp Gabler has marked this topic as resolved.
Last updated: Nov 06 2024 at 04:40 UTC