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CompatHelper: bump compat for "DistributionsAD" to "0.2" #1074

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Jan 16, 2020
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CompatHelper: bump compat for "DistributionsAD" to "0.2" #1074

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544db3a
CompatHelper: bump compat for "DistributionsAD" to "0.2"
github-actions[bot] Jan 16, 2020
539b0f0
Update to Turing*MvNormal in DistributionsAD 0.2
devmotion Jan 16, 2020
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5 changes: 2 additions & 3 deletions Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -32,10 +32,9 @@ AbstractMCMC = "~0.1"
AdvancedHMC = "0.2.20"
Bijectors = "0.4.0, 0.5"
BinaryProvider = "0.5.6"
Distributions = "0.21.11, 0.22"
DistributionsAD = "0.1.2"
Distributions = "0.22"
DistributionsAD = "0.2"
DynamicPPL = "0.1.0"
FiniteDifferences = "0.9"
ForwardDiff = "0.10.3"
Libtask = "0.3.1"
LogDensityProblems = "^0.9, 0.10"
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10 changes: 5 additions & 5 deletions test/core/ad.jl
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@@ -1,7 +1,7 @@
using ForwardDiff, Distributions, FiniteDifferences, Tracker, Random, LinearAlgebra, PDMats
using Turing: Turing, gradient_logp_reverse, invlink, link, SampleFromPrior
using DynamicPPL: getval
using Turing.Core: TuringMvNormal, TuringDiagNormal
using Turing.Core: TuringDenseMvNormal, TuringDiagMvNormal
using ForwardDiff: Dual
using StatsFuns: binomlogpdf, logsumexp
using Test, LinearAlgebra
Expand Down Expand Up @@ -107,8 +107,8 @@ _to_cov(B) = B * B' + Matrix(I, size(B)...)
B = randn(rng, N, N)
m, A = randn(rng, N), B' * B + I

# Generate from the TuringMvNormal
d, back = Tracker.forward(TuringMvNormal, m, A)
# Generate from the TuringDenseMvNormal
d, back = Tracker.forward(TuringDenseMvNormal, m, A)
x = Tracker.data(rand(d))

# Check that the logpdf agrees with MvNormal.
Expand All @@ -121,7 +121,7 @@ _to_cov(B) = B * B' + Matrix(I, size(B)...)
rng, N = MersenneTwister(123456), 11
m, σ = randn(rng, N), exp.(0.1 .* randn(rng, N)) .+ 1

d = TuringDiagNormal(m, σ)
d = TuringDiagMvNormal(m, σ)
x = rand(d)

# Check that the logpdf agrees with MvNormal.
Expand All @@ -132,7 +132,7 @@ _to_cov(B) = B * B' + Matrix(I, size(B)...)
end
@turing_testset "Tracker + MvNormal Interface" begin
# Note that we only test methods where the `MvNormal` ctor actually constructs
# a TuringMvNormal.
# a TuringDenseMvNormal.

rng, N = MersenneTwister(123456), 7
m, b, B, x = randn(rng, N), randn(rng, N), randn(rng, N, N), randn(rng, N)
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