Restrict tests to FillArrays 1.0.0 (#2014)

* restrict tests to FillArrays 1.0.0

* fixed compat bound to FillArrays in Turing

* fixed test for HMC on prior model

Author: torfjelde

Project.toml

@@ -2,7 +2,6 @@ name = "Turing"
 uuid = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
 version = "0.26.0"
 
-
 [deps]
 AbstractMCMC = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
 AdvancedHMC = "0bf59076-c3b1-5ca4-86bd-e02cd72cde3d"
@@ -17,6 +16,7 @@ DistributionsAD = "ced4e74d-a319-5a8a-b0ac-84af2272839c"
 DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
 DynamicPPL = "366bfd00-2699-11ea-058f-f148b4cae6d8"
 EllipticalSliceSampling = "cad2338a-1db2-11e9-3401-43bc07c9ede2"
+FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 Libtask = "6f1fad26-d15e-5dc8-ae53-837a1d7b8c9f"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
@@ -50,6 +50,7 @@ DistributionsAD = "0.6"
 DocStringExtensions = "0.8, 0.9"
 DynamicPPL = "0.23"
 EllipticalSliceSampling = "0.5, 1"
+FillArrays = "=1.0.0"
 ForwardDiff = "0.10.3"
 Libtask = "0.7, 0.8"
 LogDensityProblems = "2"

test/Project.toml

@@ -8,6 +8,7 @@ Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 DistributionsAD = "ced4e74d-a319-5a8a-b0ac-84af2272839c"
 DynamicHMC = "bbc10e6e-7c05-544b-b16e-64fede858acb"
 DynamicPPL = "366bfd00-2699-11ea-058f-f148b4cae6d8"
+FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
 FiniteDifferences = "26cc04aa-876d-5657-8c51-4c34ba976000"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
@@ -41,6 +42,7 @@ Distributions = "0.25"
 DistributionsAD = "0.6.3"
 DynamicHMC = "2.1.6, 3.0"
 DynamicPPL = "0.23"
+FillArrays = "=1.0.0"
 FiniteDifferences = "0.10.8, 0.11, 0.12"
 ForwardDiff = "0.10.12 - 0.10.32, 0.10"
 LogDensityProblems = "2"

test/inference/hmc.jl

@@ -218,10 +218,16 @@
     end
 
     @turing_testset "prior" begin
+        @model function demo_hmc_prior()
+            # NOTE: Used to use `InverseGamma(2, 3)` but this has infinite variance
+            # which means that it's _very_ difficult to find a good tolerance in the test below:)
+            s ~ truncated(Normal(3, 1), lower=0)
+            m ~ Normal(0, sqrt(s))
+        end
         alg = NUTS(1000, 0.8)
-        gdemo_default_prior = DynamicPPL.contextualize(gdemo_default, DynamicPPL.PriorContext())
+        gdemo_default_prior = DynamicPPL.contextualize(demo_hmc_prior(), DynamicPPL.PriorContext())
         chain = sample(gdemo_default_prior, alg, 10_000)
-        check_numerical(chain, [:s, :m], [mean(InverseGamma(2, 3)), 0], atol=0.45)
+        check_numerical(chain, [:s, :m], [mean(truncated(Normal(3, 1); lower=0)), 0], atol=0.1)
     end
 
     @turing_testset "warning for difficult init params" begin