26.06 changes

Project.toml

@@ -1,6 +1,6 @@
 name = "cuNumeric"
 uuid = "0fd9ffd4-7e84-4cd0-b8f8-645bd8c73620"
-version = "0.1.1"
+version = "0.2.0"
 
 [deps]
 CNPreferences = "3e078157-ea10-49d5-bf32-908f777cd46f"
@@ -32,16 +32,16 @@ CxxWrap = "0.17"
 ExpressionExplorer = "1.1.4"
 JuliaFormatter = "2.3.0"
 KernelAbstractions = "0.9.41"
-Legate = "0.1.2"
+Legate = "0.2.0"
 LegatePreferences = "0.1.6"
 MacroTools = "0.5.16"
 OpenBLAS32_jll = "0.3"
 Pkg = "1"
 Preferences = "1"
 Random = "1"
 StatsBase = "0.34"
-cunumeric_jl_wrapper_jll = "25.10.3"
-cupynumeric_jll = "25.10.3"
+cunumeric_jl_wrapper_jll = "26.1.0"
+cupynumeric_jll = "26.1.0"
 julia = "1.10"
 
 [workspace]

deps/version.jl

@@ -17,8 +17,8 @@
  *            Ethan Meitz <emeitz@andrew.cmu.edu>
 =#
 
-const MIN_CUNUMERIC_VERSION = v"25.10.00"
-const MAX_CUNUMERIC_VERSION = v"25.12.00"
+const MIN_CUNUMERIC_VERSION = v"26.06.00"
+const MAX_CUNUMERIC_VERSION = v"26.11.999"
 
 up_dir(dir::String) = abspath(joinpath(dir, ".."))
 

docs/Project.toml

@@ -1,7 +1,7 @@
 [compat]
-CNPreferences = "0.1.2"
+CNPreferences = "0.1.3"
 Documenter = "1.5"
-cuNumeric = "0.1"
+cuNumeric = "0.2.0"
 
 [deps]
 CNPreferences = "3e078157-ea10-49d5-bf32-908f777cd46f"

lib/CNPreferences/Project.toml

@@ -8,6 +8,6 @@ LegatePreferences = "8028f36a-2b64-49e9-aa04-2d0933fd2ed9"
 Preferences = "21216c6a-2e73-6563-6e65-726566657250"
 
 [compat]
-LegatePreferences = "0.1.5"
+LegatePreferences = "0.1.6"
 Preferences = "1.4.3"
 julia = "1.10"

src/ndarray/ndarray.jl

@@ -155,13 +155,21 @@ function (::Type{<:Array{A}})(arr::NDArray{B,1}) where {A,B}
     return make_array(A, Ptr{A}(get_ptr(arr)), size(arr))
 end
 
-# TODO: query the store's DimOrdering instead of assuming row-major (C-order).
-# Julia Arrays are column-major, so for C-ordered buffers we transpose, wrap,
-# then transpose back so `Array(nda)` matches `nda[i,j]`.
+# Copy logically into Julia's column-major storage.
+# Legate may map an NDArray in C or Fortran order.
+function _copy_to_julia_array(arr::NDArray{T,N}) where {T,N}
+    out = Array{T}(undef, size(arr))
+    store = Legate.attach_external_col_major(out)
+    ptr = cuNumeric.nda_store_to_ndarray(store.handle)
+    finalize(store.handle)
+    attached = NDArray(ptr, T, Val(N), out)
+    copyto!(attached, arr)
+    get_ptr(attached) # Block until the copy into `out` completes.
+    return out
+end
+
 function (::Type{<:Array{A}})(arr::NDArray{B}) where {A,B}
-    t = transpose(arr)
-    w = make_array(B, Ptr{B}(get_ptr(t)), size(t))
-    out = collect(permutedims(w, reverse(1:ndims(w))))
+    out = _copy_to_julia_array(arr)
     return A === B ? out : copyto!(Array{A}(undef, size(arr)), out)
 end
 

src/ndarray/unary.jl

@@ -349,6 +349,12 @@ function Base.any(input::NDArray{Bool}; dims=Colon())
     return _bool_reduction_impl(cuNumeric.ANY, input, dims)
 end
 
+# Boolean multiplication is logical conjunction. cuPyNumeric's PROD reduction
+# uses a numeric fill identity, which Legate rejects for a Boolean target.
+function Base.prod(input::NDArray{Bool}; dims=Colon())
+    return _unary_reduction_impl(Base.prod, cuNumeric.ALL, input, dims)
+end
+
 #! ONLY ADD ONCE REDUCTIONS RETURN A SCALAR
 # function StatsBase.mean(arr::NDArray{T}) where T
 #     return sum(arr) ./ prod(size(arr))