Minimal fix of #1556, remove eltype checks

src/utils.jl

@@ -388,14 +388,10 @@ to the constructor's keyword `bias=bias`.
 function create_bias(weights::AbstractArray, bias::Bool, dims::Integer...)
   bias ? fill!(similar(weights, dims...), 0) : Zeros()
 end
+
 function create_bias(weights::AbstractArray, bias::AbstractArray, dims::Integer...)
   size(bias) == dims || throw(DimensionMismatch("expected bias of size $(dims), got size $(size(bias))"))
-  if eltype(bias) == eltype(weights)
-    return bias
-  else
-    @warn "converting bias to match element type of weights" typeof(weights) typeof(bias) maxlog=3 _id=hash(dims)
-    return broadcast(eltype(weights), bias)
-  end
+  bias
 end
 
 """

test/layers/basic.jl

@@ -38,10 +38,10 @@ import Flux: activations
       @test Dense(rand(100,10), false, tanh).σ == tanh
       @test Dense(rand(100,10), rand(100)).σ == identity
       @test Dense(rand(Float16, 100,10), true).bias isa Vector{Float16}  # creates matching type
-      @test Dense(rand(Float16, 100,10), rand(100)).bias isa Vector{Float16}  # converts to match
+      @test_skip Dense(rand(Float16, 100,10), rand(100)).bias isa Vector{Float16}  # converts to match
 
       @test Dense(3,4; init=Base.randn, bias=true).bias isa Vector{Float64}
-      @test Dense(3,4; init=Base.randn, bias=[1,2,3,4]).bias isa Vector{Float64}
+      @test_skip Dense(3,4; init=Base.randn, bias=[1,2,3,4]).bias isa Vector{Float64}
 
       @test_throws MethodError Dense(10, 10.5)
       @test_throws MethodError Dense(10, 10.5, tanh)
@@ -167,7 +167,7 @@ import Flux: activations
       @test size(b3(rand(4), rand(5))) == (3,)
 
       b4 = Flux.Bilinear(3,3,7; bias=1:7, init=Flux.zeros)
-      @test  b4.bias isa Vector{Float32}
+      @test_skip  b4.bias isa Vector{Float32}
 
       @test_throws ArgumentError Flux.Bilinear(rand(3)) # expects a 3-array
       @test_throws ArgumentError Flux.Bilinear(rand(3,4), false, tanh)

test/layers/conv.jl

@@ -194,7 +194,7 @@ end
   @test fun(rand(2,3,4,5), false).bias isa Flux.Zeros
   if fun == Conv
     @test fun(rand(2,3,4,5,6), rand(6)).bias isa Vector{Float64}
-    @test fun(rand(2,3,4,5,6), 1:6).bias isa Vector{Float64}
+    @test_skip fun(rand(2,3,4,5,6), 1:6).bias isa Vector{Float64}
   elseif fun == DepthwiseConv
     @test fun(rand(2,3,4,5,6), rand(30)).bias isa Vector{Float64}
   end

test/utils.jl

@@ -342,7 +342,7 @@ end
   testdense(m, bt) = @testset "Check layer $i" for (i, (l1, l2)) in enumerate(zip(m, dm(bt)))
     @test l1.W == l2.W
     @test l1.b == l2.b
-    @test typeof(l1.b) === typeof(l2.b)
+    @test_skip typeof(l1.b) === typeof(l2.b)
   end
 
   @testset "loadparams!" begin