cleanup

Author: CarloLucibello

GraphNeuralNetworks/docs/make.jl

@@ -19,15 +19,15 @@ dest_guides_dir = joinpath(@__DIR__, "src/other")
 gnngraphs_guides_dir = joinpath(@__DIR__, "../../GNNGraphs/docs/src/guides")
 gnnlib_guides_dir = joinpath(@__DIR__, "../../GNNlib/docs/src/guides") 
 for file in readdir(gnngraphs_guides_dir)
-    cp(joinpath(gnngraphs_guides_dir, file), joinpath(dest_guides_dir, file))
+    cp(joinpath(gnngraphs_guides_dir, file), joinpath(dest_guides_dir, file), force=true)
 end
 for file in readdir(gnnlib_guides_dir)
-    cp(joinpath(gnnlib_guides_dir, file), joinpath(dest_guides_dir, file))
+    cp(joinpath(gnnlib_guides_dir, file), joinpath(dest_guides_dir, file), force=true)
 end
 
 makedocs(;
     modules = [GraphNeuralNetworks],
-    doctest = false,
+    doctest = false, # TODO: enable doctest
     clean = true,
     plugins = [interlinks],
     format = Documenter.HTML(; mathengine, prettyurls, assets = assets, size_threshold=nothing),

GraphNeuralNetworks/test/test_module.jl

@@ -42,16 +42,15 @@ export mean, randn, SparseArrays, AbstractSparseMatrix
 export Flux, gradient, Dense, Chain, relu
        BatchNorm, LayerNorm, Dropout, Parallel,
        gpu_device, cpu_device, get_device,
-       CPUDevice, CUDADevice, AMDGPUDevice, MetalDevice,
-       gpu_backend
-
+       CPUDevice, CUDADevice, AMDGPUDevice, MetalDevice
+    
 # from Graphs.jl
 export random_regular_graph, erdos_renyi
 
 # from this module
 export D_IN, D_OUT, GRAPH_TYPES, TEST_GRAPHS,
        test_gradients, finitediff_withgradient, 
-       check_equal_leaves
+       check_equal_leaves, gpu_backend
 
 
 const D_IN = 3