diff --git a/src/CuArrays.jl.save b/src/CuArrays.jl.save
deleted file mode 100644
index 7a5f77ad..00000000
--- a/src/CuArrays.jl.save
+++ /dev/null
@@ -1,91 +0,0 @@
-module CuArrays
-
-using CUDAapi, CUDAdrv, CUDAnative
-
-using GPUArrays
-
-export CuArray, CuVector, CuMatrix, CuVecOrMat, cu
-export CUBLAS, CUSPARSE, CUSOLVER, CUFFT, CURAND, CUDNN, CUTENSOR
-
-import LinearAlgebra
-
-using Adapt
-
-using Libdl
-
-using Requires
-
-
-## source code includes
-
-include("bindeps.jl")
-
-# core array functionality
-include("memory.jl")
-include("array.jl")
-include("gpuarrays.jl")
-include("subarray.jl")
-include("utils.jl")
-
-# integrations and specialized functionality
-include("indexing.jl")
-include("broadcast.jl")
-include("mapreduce.jl")
-include("accumulate.jl")
-include("linalg.jl")
-
-# vendor libraries
-include("blas/CUBLAS.jl")
-include("sparse/CUSPARSE.jl")
-include("solver/CUSOLVER.jl")
-include("fft/CUFFT.jl")
-include("rand/CURAND.jl")
-include("dnn/CUDNN.jl")
-include("tensor/CUTENSOR.jl")
-
-include("deprecated.jl")
-
-include("nnlib.jl")
-
-## initialization
-
-const __initialized__ = Ref(false)
-functional() = __initialized__[]
-
-export has_cudnn, has_cutensor
-has_cudnn() = Libdl.dlopen_e(CUDNN.libcudnn[]) !== C_NULL
-has_cutensor() = Libdl.dlopen_e(CUTENSOR.libcutensor[]) !== C_NULL
-
-function __init__()
-    precompiling = ccall(:jl_generating_output, Cint, ()) != 0
-    silent = parse(Bool, get(ENV, "JULIA_CUDA_SILENT", "false")) || precompiling
-    verbose = parse(Bool, get(ENV, "JULIA_CUDA_VERBOSE", "false"))
-
-    # if any dependent GPU package failed, expect it to have logged an error and bail out
-    if !CUDAdrv.functional() || !CUDAnative.functional()
-        verbose && @warn "CuArrays.jl did not initialize because CUDAdrv.jl or CUDAnative.jl failed to"
-        return
-    end
-
-    try
-        __init_bindeps__(silent=silent, verbose=verbose)
-
-        # package integrations
-        @require ForwardDiff="f6369f11-7733-5829-9624-2563aa707210" include("forwarddiff.jl")
-
-        __init_memory__()
-
-        __initialized__[] = true
-    catch ex
-        # don't actually fail to keep the package loadable
-        if !silent
-            if verbose
-                @error "CuArrays.jl failed to initialize" exception=(ex, catch_backtrace())
-            else
-                @info "CuArrays.jl failed to initialize and will be unavailable (set JULIA_CUDA_SILENT or JULIA_CUDA_VERBOSE to silence or expand this message)"
-            end
-        end
-    end
-end
-
-end # module
diff --git a/src/CuArrays.jl.save.1 b/src/CuArrays.jl.save.1
deleted file mode 100644
index 7a5f77ad..00000000
--- a/src/CuArrays.jl.save.1
+++ /dev/null
@@ -1,91 +0,0 @@
-module CuArrays
-
-using CUDAapi, CUDAdrv, CUDAnative
-
-using GPUArrays
-
-export CuArray, CuVector, CuMatrix, CuVecOrMat, cu
-export CUBLAS, CUSPARSE, CUSOLVER, CUFFT, CURAND, CUDNN, CUTENSOR
-
-import LinearAlgebra
-
-using Adapt
-
-using Libdl
-
-using Requires
-
-
-## source code includes
-
-include("bindeps.jl")
-
-# core array functionality
-include("memory.jl")
-include("array.jl")
-include("gpuarrays.jl")
-include("subarray.jl")
-include("utils.jl")
-
-# integrations and specialized functionality
-include("indexing.jl")
-include("broadcast.jl")
-include("mapreduce.jl")
-include("accumulate.jl")
-include("linalg.jl")
-
-# vendor libraries
-include("blas/CUBLAS.jl")
-include("sparse/CUSPARSE.jl")
-include("solver/CUSOLVER.jl")
-include("fft/CUFFT.jl")
-include("rand/CURAND.jl")
-include("dnn/CUDNN.jl")
-include("tensor/CUTENSOR.jl")
-
-include("deprecated.jl")
-
-include("nnlib.jl")
-
-## initialization
-
-const __initialized__ = Ref(false)
-functional() = __initialized__[]
-
-export has_cudnn, has_cutensor
-has_cudnn() = Libdl.dlopen_e(CUDNN.libcudnn[]) !== C_NULL
-has_cutensor() = Libdl.dlopen_e(CUTENSOR.libcutensor[]) !== C_NULL
-
-function __init__()
-    precompiling = ccall(:jl_generating_output, Cint, ()) != 0
-    silent = parse(Bool, get(ENV, "JULIA_CUDA_SILENT", "false")) || precompiling
-    verbose = parse(Bool, get(ENV, "JULIA_CUDA_VERBOSE", "false"))
-
-    # if any dependent GPU package failed, expect it to have logged an error and bail out
-    if !CUDAdrv.functional() || !CUDAnative.functional()
-        verbose && @warn "CuArrays.jl did not initialize because CUDAdrv.jl or CUDAnative.jl failed to"
-        return
-    end
-
-    try
-        __init_bindeps__(silent=silent, verbose=verbose)
-
-        # package integrations
-        @require ForwardDiff="f6369f11-7733-5829-9624-2563aa707210" include("forwarddiff.jl")
-
-        __init_memory__()
-
-        __initialized__[] = true
-    catch ex
-        # don't actually fail to keep the package loadable
-        if !silent
-            if verbose
-                @error "CuArrays.jl failed to initialize" exception=(ex, catch_backtrace())
-            else
-                @info "CuArrays.jl failed to initialize and will be unavailable (set JULIA_CUDA_SILENT or JULIA_CUDA_VERBOSE to silence or expand this message)"
-            end
-        end
-    end
-end
-
-end # module