Warning: ignore(f) is deprecated, use ChainRulesCore.ignore_derivatives(f) instead.

[prbzrg]

I got these warnings:

┌ Warning: `ignore(f)` is deprecated, use `ChainRulesCore.ignore_derivatives(f)` instead.
│   caller = forward_ffjord(n::DiffEqFlux.FFJORD{Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, Vector{Float64}, Nothing, Optimisers.Restructure{Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, NamedTuple{(:layers,), Tuple{Tuple{NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}, NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}, NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}}}}}, Distributions.DiagNormal, Tuple{Float64, Float64}, Tuple{OrdinaryDiffEq.Tsit5{typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.True}}, Base.Pairs{Symbol, SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}, Tuple{Symbol}, NamedTuple{(:sensealg,), Tuple{SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}}}}}, x::Matrix{Float64}, p::Vector{Float64}, e::Matrix{Float64}; regularize::Bool, monte_carlo::Bool) at ffjord.jl:285
└ @ DiffEqFlux C:\Users\Hossein Pourbozorg\.julia\packages\DiffEqFlux\7N0N5\src\ffjord.jl:285
┌ Warning: `ignore(f)` is deprecated, use `ChainRulesCore.ignore_derivatives(f)` instead.
│   caller = forward_ffjord(n::DiffEqFlux.FFJORD{Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, Vector{Float64}, Nothing, Optimisers.Restructure{Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, NamedTuple{(:layers,), Tuple{Tuple{NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}, NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}, NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}}}}}, Distributions.DiagNormal, Tuple{Float64, Float64}, Tuple{OrdinaryDiffEq.Tsit5{typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.True}}, Base.Pairs{Symbol, SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}, Tuple{Symbol}, NamedTuple{(:sensealg,), Tuple{SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}}}}}, x::Matrix{Float64}, p::Vector{Float64}, e::Matrix{Float64}; regularize::Bool, monte_carlo::Bool) at ffjord.jl:286
└ @ DiffEqFlux C:\Users\Hossein Pourbozorg\.julia\packages\DiffEqFlux\7N0N5\src\ffjord.jl:286
┌ Warning: `ignore(f)` is deprecated, use `ChainRulesCore.ignore_derivatives(f)` instead.
│   caller = forward_ffjord(n::DiffEqFlux.FFJORD{Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, Vector{Float64}, Nothing, Optimisers.Restructure{Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, NamedTuple{(:layers,), Tuple{Tuple{NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}, NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}, NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}}}}}, Distributions.DiagNormal, Tuple{Float64, Float64}, Tuple{OrdinaryDiffEq.Tsit5{typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.True}}, Base.Pairs{Symbol, SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}, Tuple{Symbol}, NamedTuple{(:sensealg,), Tuple{SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}}}}}, x::Matrix{Float64}, p::Vector{Float64}, e::Matrix{Float64}; regularize::Bool, monte_carlo::Bool) at ffjord.jl:294
└ @ DiffEqFlux C:\Users\Hossein Pourbozorg\.julia\packages\DiffEqFlux\7N0N5\src\ffjord.jl:294
┌ Warning: `ignore(f)` is deprecated, use `ChainRulesCore.ignore_derivatives(f)` instead.
│   caller = forward_ffjord(n::DiffEqFlux.FFJORD{Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, Vector{Float64}, Nothing, Optimisers.Restructure{Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, NamedTuple{(:layers,), Tuple{Tuple{NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}, NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}, NamedTuple{(:weight, :bias, :σ), Tuple{Int64, Int64, Tuple{}}}}}}}, Distributions.DiagNormal, Tuple{Float64, Float64}, Tuple{OrdinaryDiffEq.Tsit5{typeof(OrdinaryDiffEq.trivial_limiter!), typeof(OrdinaryDiffEq.trivial_limiter!), Static.True}}, Base.Pairs{Symbol, SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}, Tuple{Symbol}, NamedTuple{(:sensealg,), Tuple{SciMLSensitivity.InterpolatingAdjoint{0, true, Val{:central}, SciMLSensitivity.ZygoteVJP}}}}}, x::Matrix{Float64}, p::Vector{Float64}, e::Matrix{Float64}; regularize::Bool, monte_carlo::Bool) at ffjord.jl:295
└ @ DiffEqFlux C:\Users\Hossein Pourbozorg\.julia\packages\DiffEqFlux\7N0N5\src\ffjord.jl:295
┌ Warning: `ignore(f)` is deprecated, use `ChainRulesCore.ignore_derivatives(f)` instead.
│   caller = jacobian_fn(::Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, ::Matrix{Float64}) at ffjord.jl:192
└ @ DiffEqFlux C:\Users\Hossein Pourbozorg\.julia\packages\DiffEqFlux\7N0N5\src\ffjord.jl:192
┌ Warning: `ignore(f)` is deprecated, use `ChainRulesCore.ignore_derivatives(f)` instead.
│   caller = jacobian_fn(::Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, ::Matrix{Float64}) at ffjord.jl:193
└ @ DiffEqFlux C:\Users\Hossein Pourbozorg\.julia\packages\DiffEqFlux\7N0N5\src\ffjord.jl:193
┌ Warning: `ignore(f)` is deprecated, use `ChainRulesCore.ignore_derivatives(f)` instead.
│   caller = jacobian_fn(::Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, ::Matrix{Float64}) at ffjord.jl:196
└ @ DiffEqFlux C:\Users\Hossein Pourbozorg\.julia\packages\DiffEqFlux\7N0N5\src\ffjord.jl:196
┌ Warning: `ignore(f)` is deprecated, use `ChainRulesCore.ignore_derivatives(f)` instead.
│   caller = jacobian_fn(::Chain{Tuple{Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}, Dense{typeof(tanh), Matrix{Float64}, Vector{Float64}}}}, ::Matrix{Float64}) at ffjord.jl:198
└ @ DiffEqFlux C:\Users\Hossein Pourbozorg\.julia\packages\DiffEqFlux\7N0N5\src\ffjord.jl:198

[ChrisRackauckas]

#751