DynamicPPL 0.36.3

HISTORY.md

@@ -1,3 +1,7 @@
+# Release 0.38.1
+
+The method `Bijectors.bijector(::DynamicPPL.Model)` was moved to DynamicPPL.jl.
+
 # Release 0.38.0
 
 ## DynamicPPL version

Project.toml

@@ -1,6 +1,6 @@
 name = "Turing"
 uuid = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
-version = "0.38.0"
+version = "0.38.1"
 
 [deps]
 ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
@@ -62,7 +62,7 @@ Distributions = "0.25.77"
 DistributionsAD = "0.6"
 DocStringExtensions = "0.8, 0.9"
 DynamicHMC = "3.4"
-DynamicPPL = "0.36"
+DynamicPPL = "0.36.3"
 EllipticalSliceSampling = "0.5, 1, 2"
 ForwardDiff = "0.10.3"
 Libtask = "0.8.8"

src/variational/advi.jl

@@ -1,73 +1,3 @@
-# TODO: Move to Bijectors.jl if we find further use for this.
-"""
-    wrap_in_vec_reshape(f, in_size)
-
-Wraps a bijector `f` such that it operates on vectors of length `prod(in_size)` and produces
-a vector of length `prod(Bijectors.output(f, in_size))`.
-"""
-function wrap_in_vec_reshape(f, in_size)
-    vec_in_length = prod(in_size)
-    reshape_inner = Bijectors.Reshape((vec_in_length,), in_size)
-    out_size = Bijectors.output_size(f, in_size)
-    vec_out_length = prod(out_size)
-    reshape_outer = Bijectors.Reshape(out_size, (vec_out_length,))
-    return reshape_outer ∘ f ∘ reshape_inner
-end
-
-"""
-    bijector(model::Model[, sym2ranges = Val(false)])
-
-Returns a `Stacked <: Bijector` which maps from the support of the posterior to ℝᵈ with `d`
-denoting the dimensionality of the latent variables.
-"""
-function Bijectors.bijector(
-    model::DynamicPPL.Model, ::Val{sym2ranges}=Val(false); varinfo=DynamicPPL.VarInfo(model)
-) where {sym2ranges}
-    num_params = sum([
-        size(varinfo.metadata[sym].vals, 1) for sym in keys(varinfo.metadata)
-    ])
-
-    dists = vcat([varinfo.metadata[sym].dists for sym in keys(varinfo.metadata)]...)
-
-    num_ranges = sum([
-        length(varinfo.metadata[sym].ranges) for sym in keys(varinfo.metadata)
-    ])
-    ranges = Vector{UnitRange{Int}}(undef, num_ranges)
-    idx = 0
-    range_idx = 1
-
-    # ranges might be discontinuous => values are vectors of ranges rather than just ranges
-    sym_lookup = Dict{Symbol,Vector{UnitRange{Int}}}()
-    for sym in keys(varinfo.metadata)
-        sym_lookup[sym] = Vector{UnitRange{Int}}()
-        for r in varinfo.metadata[sym].ranges
-            ranges[range_idx] = idx .+ r
-            push!(sym_lookup[sym], ranges[range_idx])
-            range_idx += 1
-        end
-
-        idx += varinfo.metadata[sym].ranges[end][end]
-    end
-
-    bs = map(tuple(dists...)) do d
-        b = Bijectors.bijector(d)
-        if d isa Distributions.UnivariateDistribution
-            b
-        else
-            wrap_in_vec_reshape(b, size(d))
-        end
-    end
-
-    if sym2ranges
-        return (
-            Bijectors.Stacked(bs, ranges),
-            (; collect(zip(keys(sym_lookup), values(sym_lookup)))...),
-        )
-    else
-        return Bijectors.Stacked(bs, ranges)
-    end
-end
-
 """
     meanfield([rng, ]model::Model)