move occurences of using

Moved most occurences of `using` to the main source file

Author: vincentmolin

src/NNlib.jl

@@ -5,7 +5,12 @@ using Requires
 using ChainRulesCore
 import ChainRulesCore: rrule
 using Base.Broadcast: broadcasted
+using Base.Threads
+using Statistics
 using Statistics: mean
+using LinearAlgebra
+using LinearAlgebra: BlasFloat, Transpose, Adjoint, AdjOrTransAbsMat
+using LinearAlgebra.BLAS: libblas, BlasInt, @blasfunc
 
 const IntOrIntTuple = Union{Integer, NTuple{N,<:Integer} where N}
 const Numeric = Union{AbstractArray{<:T}, T} where {T<:Number}

src/batched/batchedadjtrans.jl

@@ -1,5 +1,3 @@
-using LinearAlgebra
-
 import Base: -
 import Adapt: adapt_structure, adapt
 

src/batched/batchedmul.jl

@@ -1,5 +1,3 @@
-using LinearAlgebra: BlasFloat, Transpose, Adjoint, AdjOrTransAbsMat
-
 _unbatch(A) = A
 _unbatch(A::BatchedAdjOrTrans) = parent(A)
 

src/functions.jl

@@ -1,4 +1,3 @@
-using NNlib: sigmoid
 """
     glu(x, dim = 1)
 

src/gemm.jl

@@ -1,9 +1,6 @@
 ## Low level gemm! call with pointers
 ## Borrowed from Knet.jl, adapted for compile-time constants
 
-using LinearAlgebra
-using LinearAlgebra.BLAS: libblas, BlasInt, @blasfunc
-
 using Compat: get_num_threads, set_num_threads # needs Compat 3.13, for any Julia < 1.6
 
 """

src/impl/conv_direct.jl

@@ -1,5 +1,4 @@
 ## This file contains direct Julia implementations of 2d and 3d convolutions
-using Base.Threads
 
 # Helper functions for restricting x/w overreach
 function clamp_lo(x, w)

src/impl/pooling_direct.jl

@@ -1,5 +1,3 @@
-using Statistics
-
 # Pooling is so similar, we abstract over meanpooling and maxpooling, simply replacing
 # the inner loop operation and a few initialization parameters.
 for name in (:max, :mean)