re-export setthreadsafe

Author: penelopeysm

docs/src/api.md

@@ -43,6 +43,7 @@ even though [`Prior()`](@ref) is actually defined in the `Turing.Inference` modu
 | `prefix`             | [`DynamicPPL.prefix`](@extref)             | Prefix all variable names in a model with a given VarName                                    |
 | `LogDensityFunction` | [`DynamicPPL.LogDensityFunction`](@extref) | A struct containing all information about how to evaluate a model. Mostly for advanced users |
 | `@addlogprob!`       | [`DynamicPPL.@addlogprob!`](@extref)       | Add arbitrary log-probability terms during model evaluation                                  |
+| `setthreadsafe`      | [`DynamicPPL.setthreadsafe`](@extref)      | Mark a model as requiring threadsafe evaluation                                              |
 
 ### Inference
 

src/Turing.jl

@@ -76,7 +76,8 @@ using DynamicPPL:
     @addlogprob!,
     InitFromPrior,
     InitFromUniform,
-    InitFromParams
+    InitFromParams,
+    setthreadsafe
 using StatsBase: predict
 using OrderedCollections: OrderedDict
 
@@ -91,6 +92,7 @@ export
     prefix,
     LogDensityFunction,
     @addlogprob!,
+    setthreadsafe,
     # Sampling - AbstractMCMC
     sample,
     MCMCThreads,

test/mcmc/particle_mcmc.jl

@@ -88,7 +88,7 @@ using Turing
                 y[i] ~ Normal(x)
             end
         end
-        model = DynamicPPL.setthreadsafe(f(randn(10)), true)
+        model = setthreadsafe(f(randn(10)), true)
         @test_throws ArgumentError sample(model, SMC(), 100)
     end
 end
@@ -176,7 +176,7 @@ end
                 y[i] ~ Normal(x)
             end
         end
-        model = DynamicPPL.setthreadsafe(f(randn(10)), true)
+        model = setthreadsafe(f(randn(10)), true)
         @test_throws ArgumentError sample(model, PG(10), 100)
     end
 end