add GPU reproducer

test/ref-tuple_repro.jl

@@ -0,0 +1,73 @@
+# Initially from soiltest.jl phase change source term test
+# To reproduce, run this script on GPU
+import ClimaComms
+ClimaComms.@import_required_backends
+using Statistics
+using ClimaCore
+import ClimaParams as CP
+using ClimaLand
+using ClimaLand.Domains: Column
+using ClimaLand.Soil
+import ClimaLand.Parameters as LP
+
+FT = Float64
+earth_param_set = LP.LandParameters(FT)
+ν = FT(0.495)
+θ_r = FT(0.1)
+hydrology_cm = vanGenuchten{FT}(; α = FT(2.6), n = FT(2.0))
+
+soil_domain = Column(; zlim = (FT(-1), FT(0)), nelements = 200)
+space_3d = soil_domain.space.subsurface # CenterFiniteDifferenceSpace
+
+θ_l = ClimaCore.Fields.ones(space_3d)
+θ_i = ClimaCore.Fields.ones(space_3d)
+T = ClimaCore.Fields.ones(space_3d)
+κ = ClimaCore.Fields.ones(space_3d)
+tau = ClimaCore.Fields.ones(space_3d)
+
+# This fails with dynamic function invocation when `LandParameters`
+# and `vanGenuchten` both use `tuple` for broadcasting, and it
+# passes when `Ref` is used for either `LandParameters` or `vanGenuchten` broadcasting
+@. -phase_change_source(
+    θ_l,
+    θ_i,
+    T,
+    tau,
+    ν,
+    θ_r,
+    hydrology_cm,
+    earth_param_set,
+)
+
+
+# # Defining θtot either of these ways, then calling f doesn't fail
+# function f(hydrology_cm, ν, θtot, θ_r)
+#     @. matric_potential(hydrology_cm, effective_saturation(ν, θtot, θ_r))
+# end
+
+# _ρ_i = FT(LP.ρ_cloud_ice(earth_param_set))
+# _ρ_l = FT(LP.ρ_cloud_liq(earth_param_set))
+# _LH_f0 = FT(LP.LH_f0(earth_param_set))
+# _T_freeze = FT(LP.T_freeze(earth_param_set))
+# _grav = FT(LP.grav(earth_param_set))
+# θtot = @. min(_ρ_i / _ρ_l * θ_i + θ_l, ν) # f returns [-0.0, -0.0, ..., -0.0]
+
+# # θtot = ClimaCore.Fields.ones(space_3d) # f returns [NaN, NaN, ..., NaN]
+# f(hydrology_cm, ν, θtot, θ_r)
+
+
+# # Broadcasting f2 fails with the same error as the original matric_potential call
+# function f2(hydrology_cm, earth_param_set, ν, θ_r, θ_l)
+#     _ρ_i = FT(LP.ρ_cloud_ice(earth_param_set))
+#     _ρ_l = FT(LP.ρ_cloud_liq(earth_param_set))
+#     _LH_f0 = FT(LP.LH_f0(earth_param_set))
+#     _T_freeze = FT(LP.T_freeze(earth_param_set))
+#     _grav = FT(LP.grav(earth_param_set))
+#     # According to Dall'Amico (text above equation 1), ψw0 corresponds
+#     # to the matric potential corresponding to the total water content (liquid and ice).
+#     θtot = min(_ρ_i / _ρ_l * θ_i + θ_l, ν)
+
+#     matric_potential(hydrology_cm, effective_saturation(ν, θtot, θ_r))
+# end
+
+# @. f2(hydrology_cm, earth_param_set, ν, θ_r, θ_l)