Exclude device-side sorting code from coverage

Author: kshyatt

src/CUDAKernels.jl

@@ -135,6 +135,7 @@ end
 
 ## indexing
 
+## COV_EXCL_START
 @device_override @inline function KA.__index_Local_Linear(ctx)
     return threadIdx().x
 end
@@ -191,6 +192,8 @@ end
     CUDA._cuprint(args...)
 end
 
+## COV_EXCL_STOP
+
 ## other
 
 Adapt.adapt_storage(to::KA.ConstAdaptor, a::CuDeviceArray) = Base.Experimental.Const(a)

src/sorting.jl

@@ -38,6 +38,7 @@ using ..CUDA: i32
 end
 
 
+## COV_EXCL_START
 # Batch partitioning
 """
 Performs in-place cumsum using shared memory. Intended for use with indexes
@@ -118,6 +119,8 @@ function partition_batches_kernel(values::AbstractArray{T}, pivot, lo, hi, parit
     return
 end
 
+## COV_EXCL_STOP
+
 
 # Batch consolidation
 
@@ -140,6 +143,7 @@ function find_partition(array, pivot, lo, hi, parity, lt::F1, by::F2) where {F1,
     return low - 1
 end
 
+## COV_EXCL_START
 """
 This assumes the region of `vals` of length `L` starting after `lo`
 has been batch partitioned with respect to `pivot`. Further, it assumes that
@@ -454,6 +458,7 @@ function qsort_kernel(vals::AbstractArray{T,N}, lo, hi, parity, sync::Val{S}, sy
 
     return
 end
+## COV_EXCL_STOP
 
 function sort_args(args, partial_k::Nothing)
     return args
@@ -524,6 +529,7 @@ using ..CUDA
 using ..CUDA: i32
 
 
+## COV_EXCL_START
 # General functions
 
 @inline two(::Type{Int}) = 2
@@ -882,7 +888,7 @@ function comparator_small_kernel(vals, length_vals::I, k::I, j_0::I, j_f::I,
     finalize_shmem!(slice, swap, index, in_range)
     return
 end
-
+## COV_EXCL_STOP
 
 # Host side code
 function bitonic_shmem(c::AbstractArray{T}, threads) where {T}