suppress warning

Author: Closed-Limelike-Curves

Project.toml

@@ -20,7 +20,6 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Requires = "ae029012-a4dd-5104-9daa-d747884805df"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 StatsFuns = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
-TensorOperations = "6aa20fa7-93e2-5fca-9bc0-fbd0db3c71a2"
 Tullio = "bc48ee85-29a4-5162-ae0b-a64e1601d4bc"
 
 [compat]
@@ -34,8 +33,7 @@ NamedDims = "0.2.35"
 Polyester = "0.3.4, 0.4"
 PrettyTables = "1.1.0"
 Requires = "1.1.3"
-StatsFuns= "0.9.9"
-TensorOperations = "3.2.3"
+StatsFuns = "0.9.9"
 Tullio = "0.3.0"
 julia = "1.6"
 

src/ESS.jl

@@ -1,7 +1,7 @@
 using FFTW
 using LoopVectorization
 using MCMCDiagnosticTools
-using TensorOperations
+
 using Tullio
 
 export relative_eff, psis_ess, psis_n_eff

src/GPD.jl

@@ -1,7 +1,7 @@
 using LinearAlgebra
 using LoopVectorization
 using Statistics
-using TensorOperations
+
 using Tullio
 
 

src/ImportanceSampling.jl

@@ -1,5 +1,5 @@
 using LoopVectorization
-using TensorOperations
+
 using Tullio
 
 const LIKELY_ERROR_CAUSES = """

src/LeaveOneOut.jl

@@ -5,7 +5,6 @@ using LoopVectorization
 using NamedDims
 using Statistics
 using Printf
-using TensorOperations
 using Tullio
 
 export loo, psis_loo, loo_from_psis
@@ -171,7 +170,6 @@ function loo_from_psis(log_likelihood::AbstractArray{<:Real, 3}, psis_object::Ps
         statistic=[:cv_elpd, :naive_lpd, :p_eff, :mcse, :pareto_k],
     )
 
-
     table = _generate_loo_table(pointwise)
 
     @tullio mcse := pointwise_mcse[i]^2
@@ -202,7 +200,7 @@ function _generate_loo_table(pointwise::KeyedArray{<:Real})
 
     # calculate the sample expectation for the total score
     to_sum = pointwise([:cv_elpd, :naive_lpd, :p_eff])
-    @tullio avgs[statistic] := to_sum[data, statistic] / data_size
+    @tullio avx=false avgs[statistic] := to_sum[data, statistic] / data_size
     avgs = reshape(avgs, 3)
     table(:, :mean) .= avgs
 

src/NaiveLPD.jl

@@ -1,5 +1,5 @@
 using LoopVectorization
-using TensorOperations
+
 using Tullio