simpler types

src/layers/softmax.jl

@@ -1,19 +1,19 @@
-mutable struct Softmax{T,N,A,B} <: AbstractArray{T,N}
+mutable struct Softmax{T,N,A} <: AbstractArray{T,N}
   logits::A
-  probs::B
-  Softmax{T,N,A,B}(logits::A) where {T,N,A,B} = new(logits)
+  probs::A
+  Softmax{T,N,A}(logits::A) where {T,N,A} = new(logits)
 end
 
 Softmax(logits::AbstractVecOrMat{<:AbstractFloat}) =
-  Softmax{eltype(logits),ndims(logits),typeof(logits),typeof(Tracker.data(logits))}(logits)
+  Softmax{eltype(logits),ndims(logits),typeof(logits)}(logits)
 
 @forward Softmax.logits Base.size
 
 Base.IndexStyle(::Type{Softmax{T,N,A}}) where {T,N,A} = IndexStyle(A)
 
 function Base.getindex(s::Softmax, i)
-  isdefined(s, :probs) || (s.probs = NNlib.softmax(Tracker.data(s.logits)))
-  s.probs[i]
+  isdefined(s, :probs) || (s.probs = NNlib.softmax(s.logits))
+  Tracker.data(s.probs)[i]
 end
 
 softmax(xs::AbstractVecOrMat{<:AbstractFloat}) = Softmax(xs)