fallback change for better performance

Update reduce.jl

Author: N5N3

base/reduce.jl

@@ -439,6 +439,9 @@ mapreduce(f, op, a::Number) = mapreduce_first(f, op, a)
 
 _mapreduce(f, op, ::IndexCartesian, A::AbstractArrayOrBroadcasted) = mapfoldl(f, op, A)
 
+@inline _mapreduce(f, op, ::IndexCartesian, A::AbstractVector) =
+    _mapreduce(f, op, IndexLinear(), A)
+
 """
     reduce(op, itr; [init])
 

base/reducedim.jl

@@ -316,8 +316,14 @@ mapreduce(f, op, A::AbstractArrayOrBroadcasted; dims=:, init=_InitialValue()) =
 mapreduce(f, op, A::AbstractArrayOrBroadcasted...; kw...) =
     reduce(op, map(f, A...); kw...)
 
-_mapreduce_dim(f, op, nt, A::AbstractArrayOrBroadcasted, ::Colon) =
+function _mapreduce_dim(f, op, nt, A::AbstractArrayOrBroadcasted, ::Colon)
+    if op === min || op === max || op === _extrema_rf
+        isempty(A) && return nt
+        # _mapreduce might be better tuned for these reductions.
+        return op(nt, _mapreduce(f, op, IndexStyle(A), A))
+    end
     mapfoldl_impl(f, op, nt, A)
+end
 
 _mapreduce_dim(f, op, ::_InitialValue, A::AbstractArrayOrBroadcasted, ::Colon) =
     _mapreduce(f, op, IndexStyle(A), A)