fix remove redundant helpers for reparam_with_entropy for bijector

Author: Red-Portal

ext/AdvancedVIBijectorsExt.jl

@@ -11,24 +11,6 @@ else
     using ..Random
 end
 
-function transform_samples_with_jacobian(unconst_samples, transform, n_samples)
-    unconst_iter = AdvancedVI.eachsample(unconst_samples)
-    unconst_init = first(unconst_iter)
-
-    samples_init, logjac_init = with_logabsdet_jacobian(transform, unconst_init)
-
-    samples_and_logjac = mapreduce(
-        AdvancedVI.catsamples_and_acc,
-        Iterators.drop(unconst_iter, 1);
-        init=(AdvancedVI.samples_expand_dim(samples_init), logjac_init)
-    ) do sample
-        with_logabsdet_jacobian(transform, sample)
-    end
-    samples = first(samples_and_logjac)
-    logjac  = last(samples_and_logjac)/n_samples
-    samples, logjac
-end
-
 function AdvancedVI.reparam_with_entropy(
     rng      ::Random.AbstractRNG,
     q        ::Bijectors.TransformedDistribution,
@@ -41,14 +23,24 @@ function AdvancedVI.reparam_with_entropy(
     q_unconst_stop  = q_stop.dist
 
     # Draw samples and compute entropy of the uncontrained distribution
-    unconst_samples, unconst_entropy = AdvancedVI.reparam_with_entropy(
+    unconstr_samples, unconst_entropy = AdvancedVI.reparam_with_entropy(
         rng, q_unconst, q_unconst_stop, n_samples, ent_est
     )
 
     # Apply bijector to samples while estimating its jacobian
-    samples, logjac = transform_samples_with_jacobian(
-        unconst_samples, transform, n_samples
-    )
+    unconstr_iter = AdvancedVI.eachsample(unconstr_samples)
+    unconstr_init = first(unconstr_iter)
+    samples_init, logjac_init = with_logabsdet_jacobian(transform, unconstr_init)
+    samples_and_logjac = mapreduce(
+        AdvancedVI.catsamples_and_acc,
+        Iterators.drop(unconstr_iter, 1);
+        init=(reshape(samples_init, (:,1)), logjac_init)
+    ) do sample
+        with_logabsdet_jacobian(transform, sample)
+    end
+    samples = first(samples_and_logjac)
+    logjac  = last(samples_and_logjac)/n_samples
+
     entropy = unconst_entropy + logjac
     samples, entropy
 end

src/utils.jl

@@ -23,8 +23,6 @@ end
 
 eachsample(samples::AbstractMatrix) = eachcol(samples)
 
-eachsample(samples::AbstractVector) = samples
-
 function catsamples_and_acc(
     state_curr::Tuple{<:AbstractArray,  <:Real},
     state_new ::Tuple{<:AbstractVector, <:Real}
@@ -34,7 +32,3 @@ function catsamples_and_acc(
     return (x, ∑y)
 end
 
-function samples_expand_dim(x::AbstractVector)
-    reshape(x, (:,1))
-end
-