rebase

Author: CarloLucibello

src/layers/conv.jl

@@ -260,11 +260,6 @@ function Base.show(io::IO, l::ConvTranspose)
   print(io, ")")
 end
 
-(a::ConvTranspose{<:Any,<:Any,W})(x::AbstractArray{T}) where {T <: Union{Float32,Float64}, W <: AbstractArray{T}} =
-  invoke(a, Tuple{AbstractArray}, x)
-
-(a::ConvTranspose{<:Any,<:Any,W})(x::AbstractArray{<:Real}) where {T <: Union{Float32,Float64}, W <: AbstractArray{T}} =
-  a(T.(x))
 
 function calc_padding(::Type{ConvTranspose}, pad::SamePad, k::NTuple{N,T}, dilation, stride) where {N,T}
   calc_padding(Conv, pad, k .- stride .+ 1, dilation, stride)
@@ -358,11 +353,6 @@ function Base.show(io::IO, l::DepthwiseConv)
   print(io, ")")
 end
 
-(a::DepthwiseConv{<:Any,<:Any,W})(x::AbstractArray{T}) where {T <: Union{Float32,Float64}, W <: AbstractArray{T}} =
-  invoke(a, Tuple{AbstractArray}, x)
-
-(a::DepthwiseConv{<:Any,<:Any,W})(x::AbstractArray{<:Real}) where {T <: Union{Float32,Float64}, W <: AbstractArray{T}} =
-  a(T.(x))
 
 """
     CrossCor(filter, in => out, σ=identity; stride=1, pad=0, dilation=1)
@@ -444,12 +434,6 @@ function Base.show(io::IO, l::CrossCor)
   print(io, ")")
 end
 
-(a::CrossCor{<:Any,<:Any,W})(x::AbstractArray{T}) where {T <: Union{Float32,Float64}, W <: AbstractArray{T}} =
-  invoke(a, Tuple{AbstractArray}, x)
-
-(a::CrossCor{<:Any,<:Any,W})(x::AbstractArray{<:Real}) where {T <: Union{Float32,Float64}, W <: AbstractArray{T}} =
-  a(T.(x))
-
 """
     AdaptiveMaxPool(out::NTuple)