mapreduce instead of map + reduce for Jacobians & Hessians

DifferentiationInterface/src/first_order/jacobian.jl

@@ -232,7 +232,7 @@ function _jacobian_aux(
         f_or_f!y..., pushforward_prep, backend, x, batched_seeds[1], contexts...
     )
 
-    jac_blocks = map(eachindex(batched_seeds)) do a
+    jac = mapreduce(hcat, eachindex(batched_seeds)) do a
         dy_batch = pushforward(
             f_or_f!y...,
             pushforward_prep_same,
@@ -247,8 +247,6 @@ function _jacobian_aux(
         end
         block
     end
-
-    jac = reduce(hcat, jac_blocks)
     return jac
 end
 
@@ -265,7 +263,7 @@ function _jacobian_aux(
         f_or_f!y..., prep.pullback_prep, backend, x, batched_seeds[1], contexts...
     )
 
-    jac_blocks = map(eachindex(batched_seeds)) do a
+    jac = mapreduce(vcat, eachindex(batched_seeds)) do a
         dx_batch = pullback(
             f_or_f!y..., pullback_prep_same, backend, x, batched_seeds[a], contexts...
         )
@@ -275,8 +273,6 @@ function _jacobian_aux(
         end
         block
     end
-
-    jac = reduce(vcat, jac_blocks)
     return jac
 end
 

DifferentiationInterface/src/second_order/hessian.jl

@@ -111,16 +111,14 @@ function hessian(
         f, hvp_prep, backend, x, batched_seeds[1], contexts...
     )
 
-    hess_blocks = map(eachindex(batched_seeds)) do a
+    hess = mapreduce(hcat, eachindex(batched_seeds)) do a
         dg_batch = hvp(f, hvp_prep_same, backend, x, batched_seeds[a], contexts...)
         block = stack_vec_col(dg_batch)
         if N % B != 0 && a == lastindex(batched_seeds)
             block = block[:, 1:(N - (a - 1) * B)]
         end
         block
     end
-
-    hess = reduce(hcat, hess_blocks)
     return hess
 end
 

DifferentiationInterfaceTest/src/test_differentiation.jl

@@ -48,6 +48,7 @@ For `type_stability` and `benchmark`, the possible values are `:none`, `:prepare
 **Type stability options:**
 
 - `ignored_modules=nothing`: list of modules that JET.jl should ignore
+- `function_filter`: filter for functions that JET.jl should ignore (with a reasonable default)
 
 **Benchmark options:**
 
@@ -72,6 +73,11 @@ function test_differentiation(
     sparsity::Bool=true,
     # type stability options
     ignored_modules=nothing,
+    function_filter=if VERSION >= v"1.11"
+        @nospecialize(f) -> true
+    else
+        @nospecialize(f) -> f != Base.mapreduce_empty  # fix for `mapreduce` in jacobian and hessian
+    end,
     # benchmark options
     count_calls::Bool=true,
 )
@@ -136,7 +142,8 @@ function test_differentiation(
                             adapted_backend,
                             scen;
                             subset=type_stability,
-                            ignored_modules=ignored_modules,
+                            ignored_modules,
+                            function_filter,
                         )
                     end
                     yield()