Reduce imports.

Author: maleadt

src/GPUArrays.jl

@@ -1,5 +1,9 @@
 module GPUArrays
 
+export GPUArray, gpu_call, thread_blocks_heuristic, global_size, synchronize_threads
+export linear_index, @linearidx, @cartesianidx, convolution!, device, synchronize
+export JLArray
+
 using Serialization
 using Random
 using LinearAlgebra
@@ -34,8 +38,4 @@ include("array.jl")
 
 include("testsuite.jl")
 
-export GPUArray, gpu_call, thread_blocks_heuristic, global_size, synchronize_threads
-export linear_index, @linearidx, @cartesianidx, convolution!, device, synchronize
-export JLArray
-
 end # module

src/testsuite.jl

@@ -2,8 +2,9 @@
 
 module TestSuite
 
+export supported_eltypes
+
 using GPUArrays
-using GPUArrays: mapidx, gpu_sub2ind
 
 using LinearAlgebra
 using Random
@@ -24,6 +25,9 @@ function compare(f, Typ, xs...)
     cpu_out ≈ Array(gpu_out)
 end
 
+function supported_eltypes()
+    (Float32, Float64, Int32, Int64, ComplexF32, ComplexF64)
+end
 
 include("testsuite/construction.jl")
 include("testsuite/gpuinterface.jl")

src/testsuite/base.jl

@@ -1,6 +1,6 @@
 function cartesian_iter(state, A, res, Asize)
     for i in CartesianIndices(Asize)
-        idx = gpu_sub2ind(Asize, i.I)
+        idx = GPUArrays.gpu_sub2ind(Asize, i.I)
         res[idx] = A[idx]
     end
     return
@@ -34,7 +34,7 @@ function test_base(Typ)
             A = Typ(a)
             B = Typ(b)
             off = 1
-            mapidx(A, (B, off, length(A))) do i, a, b, off, len
+            GPUArrays.mapidx(A, (B, off, length(A))) do i, a, b, off, len
                 x = b[i]
                 x2 = b[min(i+off, len)]
                 a[i] = x * x2