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Refactor GenericNonlinearExpr and NonlinearOperator constructors #3489

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merged 7 commits into from
Sep 8, 2023
Merged

Refactor GenericNonlinearExpr and NonlinearOperator constructors #3489

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4f73dad
Add support for Array arguments in NonlinearOperator
odow Sep 7, 2023
3d27b58
Add test for inference
odow Sep 7, 2023
0189e80
Fix
odow Sep 7, 2023
fb54aa8
Move functions which could be omitted for now
odow Sep 7, 2023
8c4368e
Update test/test_nlp_expr.jl
odow Sep 7, 2023
fc522a7
Remove support
odow Sep 7, 2023
cdecbb3
Add back inferred AbstractVariableRef constructor
odow Sep 7, 2023
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87 changes: 40 additions & 47 deletions src/nlp_expr.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -81,15 +81,11 @@ struct GenericNonlinearExpr{V<:AbstractVariableRef} <: AbstractJuMPScalar
head::Symbol
args::Vector{Any}

function GenericNonlinearExpr(head::Symbol, args::Vector{Any})
index = findfirst(Base.Fix2(isa, AbstractJuMPScalar), args)
if index === nothing
error(
"Unable to create a nonlinear expression because it did not " *
"contain any JuMP scalars. head = $head, args = $args.",
)
end
return new{variable_ref_type(args[index])}(head, args)
Comment on lines -84 to -92
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I understand the motivation for this. Unfortunately, it will break InfiniteOpt, but I can look into refactoring the workflow. If supporting array arguments necessitates this change, then I support it.

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We can probably just keep this method then. It's not necessary. Let me make some changes.

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Try this

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I confirmed that this works with InfiniteOpt: infiniteopt/InfiniteOpt.jl#321

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Thanks, you beat me to it :)

function GenericNonlinearExpr{V}(
head::Symbol,
args::Vararg{Any},
) where {V<:AbstractVariableRef}
return new{V}(head, Any[a for a in args])
end

function GenericNonlinearExpr{V}(
Expand All @@ -100,6 +96,35 @@ struct GenericNonlinearExpr{V<:AbstractVariableRef} <: AbstractJuMPScalar
end
end

variable_ref_type(::Type{GenericNonlinearExpr}, ::Any) = nothing

function variable_ref_type(::Type{GenericNonlinearExpr}, x::AbstractJuMPScalar)
return variable_ref_type(x)
end

function _has_variable_ref_type(a)
return variable_ref_type(GenericNonlinearExpr, a) !== nothing
end

function _variable_ref_type(head, args)
if (i = findfirst(_has_variable_ref_type, args)) !== nothing
V = variable_ref_type(GenericNonlinearExpr, args[i])
return V::Type{<:AbstractVariableRef}
end
return error(
"Unable to create a nonlinear expression because it did not contain " *
"any JuMP scalars. head = `:$head`, args = `$args`.",
)
end

function GenericNonlinearExpr(head::Symbol, args::Vector{Any})
return GenericNonlinearExpr{_variable_ref_type(head, args)}(head, args)
end

function GenericNonlinearExpr(head::Symbol, args::Vararg{Any,N}) where {N}
return GenericNonlinearExpr{_variable_ref_type(head, args)}(head, args...)
end

"""
NonlinearExpr

Expand All @@ -110,15 +135,6 @@ const NonlinearExpr = GenericNonlinearExpr{VariableRef}

variable_ref_type(::GenericNonlinearExpr{V}) where {V} = V

# We include this method so that we can refactor the internal representation of
# GenericNonlinearExpr without having to rewrite the method overloads.
function GenericNonlinearExpr{V}(
head::Symbol,
args...,
) where {V<:AbstractVariableRef}
return GenericNonlinearExpr{V}(head, Any[args...])
end

const _PREFIX_OPERATORS =
(:+, :-, :*, :/, :^, :||, :&&, :>, :<, :(<=), :(>=), :(==))

Expand Down Expand Up @@ -527,6 +543,8 @@ function moi_function(f::GenericNonlinearExpr{V}) where {V}
return ret
end

jump_function(::GenericModel{T}, x::Number) where {T} = convert(T, x)

function jump_function(model::GenericModel, f::MOI.ScalarNonlinearFunction)
V = variable_ref_type(typeof(model))
ret = GenericNonlinearExpr{V}(f.head, Any[])
Expand All @@ -542,8 +560,6 @@ function jump_function(model::GenericModel, f::MOI.ScalarNonlinearFunction)
for child in reverse(arg.args)
push!(stack, (new_ret, child))
end
elseif arg isa Number
push!(parent.args, arg)
else
push!(parent.args, jump_function(model, arg))
end
Expand Down Expand Up @@ -833,33 +849,10 @@ function Base.show(io::IO, f::NonlinearOperator)
return print(io, "NonlinearOperator($(f.func), :$(f.head))")
end

# Fast overload for unary calls

(f::NonlinearOperator)(x) = f.func(x)

(f::NonlinearOperator)(x::AbstractJuMPScalar) = NonlinearExpr(f.head, Any[x])

# Fast overload for binary calls

(f::NonlinearOperator)(x, y) = f.func(x, y)

function (f::NonlinearOperator)(x::AbstractJuMPScalar, y)
return GenericNonlinearExpr(f.head, Any[x, y])
end

function (f::NonlinearOperator)(x, y::AbstractJuMPScalar)
return GenericNonlinearExpr(f.head, Any[x, y])
end

function (f::NonlinearOperator)(x::AbstractJuMPScalar, y::AbstractJuMPScalar)
return GenericNonlinearExpr(f.head, Any[x, y])
end

# Fallback for more arguments
function (f::NonlinearOperator)(x, y, z...)
args = (x, y, z...)
if any(Base.Fix2(isa, AbstractJuMPScalar), args)
return GenericNonlinearExpr(f.head, Any[a for a in args])
function (f::NonlinearOperator)(args::Vararg{Any,N}) where {N}
types = variable_ref_type.(GenericNonlinearExpr, args)
if (i = findfirst(!isnothing, types)) !== nothing
return GenericNonlinearExpr{types[i]}(f.head, args...)
end
return f.func(args...)
end
Expand Down
11 changes: 5 additions & 6 deletions src/operators.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -195,28 +195,27 @@ function Base.:/(lhs::GenericAffExpr, rhs::_Constant)
return map_coefficients(c -> c / rhs, lhs)
end

function Base.:^(lhs::AbstractVariableRef, rhs::Integer)
T = value_type(typeof(lhs))
function Base.:^(lhs::V, rhs::Integer) where {V<:AbstractVariableRef}
if rhs == 0
return one(T)
return one(value_type(V))
elseif rhs == 1
return lhs
elseif rhs == 2
return lhs * lhs
else
return GenericNonlinearExpr(:^, Any[lhs, rhs])
return GenericNonlinearExpr{V}(:^, Any[lhs, rhs])
end
end

function Base.:^(lhs::GenericAffExpr{T}, rhs::Integer) where {T}
function Base.:^(lhs::GenericAffExpr{T,V}, rhs::Integer) where {T,V}
if rhs == 0
return one(T)
elseif rhs == 1
return lhs
elseif rhs == 2
return lhs * lhs
else
return GenericNonlinearExpr(:^, Any[lhs, rhs])
return GenericNonlinearExpr{V}(:^, Any[lhs, rhs])
end
end

Expand Down
12 changes: 6 additions & 6 deletions test/test_nlp.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -1605,7 +1605,7 @@ function test_parse_expression_nonlinearexpr_call()
model = Model()
@variable(model, x)
@variable(model, y)
f = GenericNonlinearExpr(:ifelse, Any[x, 0, y])
f = NonlinearExpr(:ifelse, Any[x, 0, y])
@NLexpression(model, ref, f)
nlp = nonlinear_model(model)
expr = :(ifelse($x, 0, $y))
Expand All @@ -1617,7 +1617,7 @@ function test_parse_expression_nonlinearexpr_or()
model = Model()
@variable(model, x)
@variable(model, y)
f = GenericNonlinearExpr(:||, Any[x, y])
f = NonlinearExpr(:||, Any[x, y])
@NLexpression(model, ref, f)
nlp = nonlinear_model(model)
expr = :($x || $y)
Expand All @@ -1629,7 +1629,7 @@ function test_parse_expression_nonlinearexpr_and()
model = Model()
@variable(model, x)
@variable(model, y)
f = GenericNonlinearExpr(:&&, Any[x, y])
f = NonlinearExpr(:&&, Any[x, y])
@NLexpression(model, ref, f)
nlp = nonlinear_model(model)
expr = :($x && $y)
Expand All @@ -1641,7 +1641,7 @@ function test_parse_expression_nonlinearexpr_unsupported()
model = Model()
@variable(model, x)
@variable(model, y)
f = GenericNonlinearExpr(:foo, Any[x, y])
f = NonlinearExpr(:foo, Any[x, y])
@test_throws(
MOI.UnsupportedNonlinearOperator,
@NLexpression(model, ref, f),
Expand All @@ -1653,8 +1653,8 @@ function test_parse_expression_nonlinearexpr_nested_comparison()
model = Model()
@variable(model, x)
@variable(model, y)
f = GenericNonlinearExpr(:||, Any[x, y])
g = GenericNonlinearExpr(:&&, Any[f, x])
f = NonlinearExpr(:||, Any[x, y])
g = NonlinearExpr(:&&, Any[f, x])
@NLexpression(model, ref, g)
nlp = nonlinear_model(model)
expr = :(($x || $y) && $x)
Expand Down
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