rm rm kwargs

Author: andrewrosemberg

src/diff_opt.jl

@@ -87,7 +87,7 @@ function Base.empty!(cache::InputCache)
 end
 
 """
-    reverse_differentiate!(model::MOI.ModelLike; kwargs...)
+    reverse_differentiate!(model::MOI.ModelLike)
 
 Wrapper method for the backward pass / reverse differentiation.
 This method will consider as input a currently solved problem and differentials
@@ -98,7 +98,7 @@ attributes [`ReverseObjectiveFunction`](@ref) and [`ReverseConstraintFunction`](
 function reverse_differentiate! end
 
 """
-    forward_differentiate!(model::Optimizer; kwargs...)
+    forward_differentiate!(model::Optimizer)
 
 Wrapper method for the forward pass.
 This method will consider as input a currently solved problem and

src/jump_moi_overloads.jl

@@ -355,12 +355,12 @@ end
 
 # JuMP
 
-function reverse_differentiate!(model::JuMP.Model; kwargs...)
-    return reverse_differentiate!(JuMP.backend(model); kwargs...)
+function reverse_differentiate!(model::JuMP.Model)
+    return reverse_differentiate!(JuMP.backend(model))
 end
 
-function forward_differentiate!(model::JuMP.Model; kwargs...)
-    return forward_differentiate!(JuMP.backend(model); kwargs...)
+function forward_differentiate!(model::JuMP.Model)
+    return forward_differentiate!(JuMP.backend(model))
 end
 
 function empty_input_sensitivities!(model::JuMP.Model)
@@ -374,14 +374,14 @@ function reverse_differentiate!(
     model::MOI.Utilities.CachingOptimizer;
     kwargs...,
 )
-    return reverse_differentiate!(model.optimizer; kwargs...)
+    return reverse_differentiate!(model.optimizer)
 end
 
 function forward_differentiate!(
     model::MOI.Utilities.CachingOptimizer;
     kwargs...,
 )
-    return forward_differentiate!(model.optimizer; kwargs...)
+    return forward_differentiate!(model.optimizer)
 end
 
 function empty_input_sensitivities!(model::MOI.Utilities.CachingOptimizer)
@@ -395,14 +395,14 @@ function reverse_differentiate!(
     model::MOI.Bridges.AbstractBridgeOptimizer;
     kwargs...,
 )
-    return reverse_differentiate!(model.model; kwargs...)
+    return reverse_differentiate!(model.model)
 end
 
 function forward_differentiate!(
     model::MOI.Bridges.AbstractBridgeOptimizer;
     kwargs...,
 )
-    return forward_differentiate!(model.model; kwargs...)
+    return forward_differentiate!(model.model)
 end
 
 function empty_input_sensitivities!(model::MOI.Bridges.AbstractBridgeOptimizer)