fix deprecation warning

Project.toml

@@ -4,6 +4,7 @@ authors = ["SciML"]
 version = "6.9.0"
 
 [deps]
+ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 ExtendableSparse = "95c220a8-a1cf-11e9-0c77-dbfce5f500b3"
 GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
@@ -16,6 +17,7 @@ Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [compat]
 Aqua = "0.8"
+ChainRulesCore = "1.15"
 Cubature = "1.5"
 Distributions = "0.25.71"
 ExtendableSparse = "1"
@@ -24,8 +26,8 @@ ForwardDiff = "0.10.19"
 GLM = "1.5"
 IterativeSolvers = "0.9"
 LinearAlgebra = "1.10"
-PolyChaos = "0.2.5"
 Pkg = "1"
+PolyChaos = "0.2.5"
 QuadGK = "2.4"
 QuasiMonteCarlo = "0.3.1"
 SafeTestsets = "0.1"

src/Radials.jl

@@ -106,7 +106,8 @@ function _construct_rbf_y_matrix(y, y_el, m)
     [i <= length(y) ? y[i][j] : zero(first(y_el)) for i in 1:m, j in 1:length(y_el)]
 end
 
-using Zygote: @nograd, Buffer
+using Zygote: Buffer
+using ChainRulesCore: @non_differentiable
 
 function _make_combination(n, d, ix)
     exponents_combinations = [e
@@ -118,8 +119,8 @@ function _make_combination(n, d, ix)
     return exponents_combinations[ix + 1]
 end
 # TODO: Is this correct? Do we ever want to differentiate w.r.t n, d, or ix?
-# By using @nograd we force the gradient to be 1 for n, d, ix
-@nograd _make_combination
+# By using @non_differentiable we force the gradient to be 1 for n, d, ix
+@non_differentiable _make_combination(n, d, ix)
 
 """
     multivar_poly_basis(x, ix, d, n)