Hi, I’m new to Julia. I can’t follow what’s going wrong here.

When I run the following code in REPL, it is able to run and create a chain of convolution layers:

```
A = Chain([Flux.Conv((3,3), 1=>3, stride=1, pad=2, bias=false) for _ in 1:3])
```

However, when I include it in a function in a file called net.jl, in the following way:

```
using LinearAlgebra, Flux
function init_filters(K = 3, #num unrollings
M = 64, #num filters in each filter bank
P = 7, #square filter size,
s = 1, #stride of convolutions
C = 1, #num input channels
t₀ = 0 #threshold
)
A = Chain([Flux.Conv((P,P), C=>M, stride=s, pad=(P-1)//2, bias=false) for _ in 1:K])
B = Chain([Flux.ConvTranspose((P,P), M=>C, stride=s, pad=(P-1)//2, bias=false) for _ in 1:K])
W = randn(M,C, P, P)
τ = t₀ * ones(K, 2, M, 1, 1)
for k in 1:K
A[k].weight = W
B[k].weight = W
end
return A, B, τ
end
init_filters()
```

gives the following error:

```
ERROR: MethodError: no method matching expand(::Val{4}, ::Rational{Int64})
Closest candidates are:
expand(::Any, ::Tuple)
@ Flux ~/.julia/packages/Flux/UsEXa/src/layers/conv.jl:6
expand(::Any, ::Integer)
@ Flux ~/.julia/packages/Flux/UsEXa/src/layers/conv.jl:7
Stacktrace:
[1] calc_padding(lt::Type, pad::Rational{Int64}, k::Tuple{Int64, Int64}, dilation::Tuple{Int64, Int64}, stride::Tuple{Int64, Int64})
@ Flux ~/.julia/packages/Flux/UsEXa/src/layers/conv.jl:48
[2] Conv(w::Array{Float32, 4}, b::Bool, σ::Function; stride::Int64, pad::Rational{Int64}, dilation::Int64, groups::Int64)
@ Flux ~/.julia/packages/Flux/UsEXa/src/layers/conv.jl:158
[3] Conv(k::Tuple{Int64, Int64}, ch::Pair{Int64, Int64}, σ::typeof(identity); init::Function, stride::Int64, pad::Rational{Int64}, dilation::Int64, groups::Int64, bias::Bool)
@ Flux ~/.julia/packages/Flux/UsEXa/src/layers/conv.jl:168
[4] (::var"#22#24"{Int64, Int64, Int64, Int64})(#unused#::Int64)
@ Main ./none:0
[5] iterate
@ ./generator.jl:47 [inlined]
[6] collect
@ ./array.jl:782 [inlined]
[7] init_filters(K::Int64, M::Int64, P::Int64, s::Int64, C::Int64, t₀::Int64)
@ Main ~/Documents/Untitled Folder/CDLNet/net.jl:24
[8] init_filters()
@ Main ~/Documents/Untitled Folder/CDLNet/net.jl:23
[9] top-level scope
@ ~/Documents/Untitled Folder/CDLNet/net.jl:68
```

PS: Updating Flux did not help.