v4.6 dev update. (#3315)

* v4.6 dev update.

* Remove CUTLASS_HOST_DEVICE from CudaHostAdapater::memsetDevice (#3286)

* [SM120] Add ptr-array TMA collective for tensor/token-scaled FP8 grouped GEMM (#3280)

* gemm: add SM120 array TMA collective for tensor/token-scaled FP8 grouped GEMM

Adds CollectiveMma and CollectiveBuilder specializations for
MainloopSm120ArrayTmaWarpSpecialized, enabling ptr-array grouped GEMM
(MoE expert dispatch) with tensor- and token-level FP8 scaling on
SM_120/SM_121 consumer Blackwell (RTX 5090/5080/5070, DGX Spark GB10).

New files:
- include/cutlass/gemm/collective/sm120_mma_array_tma.hpp
  CollectiveMma specialization for MainloopSm120ArrayTmaWarpSpecialized.
  Handles both Cooperative (4x2 atom layout) and Pingpong (2x2) schedules.
  Grouped GEMM via pointer-array indirection through params.ptr_A / ptr_B.
  Supports F8F6F4 MMA with TMA loads for both A and B operands.

- include/cutlass/gemm/collective/builders/sm120_array_mma_builder.inl
  CollectiveBuilder specialization for KernelPtrArrayTmaWarpSpecialized
  Cooperative/PingpongSm120<N> schedule tags. Computes tile/stage counts
  from smem capacity, routes to MainloopSm120ArrayTmaWarpSpecialized
  dispatch policy, produces correctly-typed CollectiveOp.

Modified files:
- collective_mma.hpp: include sm120_mma_array_tma.hpp
- collective_builder.hpp: include sm120_array_mma_builder.inl
- sm120_mma_builder.inl: remove ptr-array schedules from enable_if
  (they now route to sm120_array_mma_builder.inl) and drop the
  IsPtrArrayKernel static_assert that enforced the restriction

Validated on real SM_121 hardware (DGX Spark, 128 GB LPDDR5X) running
vLLM with RedHatAI/gemma-4-26B-A4B-it-FP8-Dynamic (Gemma 4 MoE, 26B
total / 4B active). Previously fell back to a non-CUTLASS Triton path;
with this patch, the SM120 CUTLASS grouped GEMM collective activates and
produces correct outputs. Short-sequence throughput improved ~7% vs the
fallback baseline (76.3 → 81.9 tok/s).

Closes #3263

Co-authored-by: Claude <noreply@anthropic.com>
Signed-off-by: Tyler Merritt <tgmerritt@gmail.com>

* test: add SM120 ptr-array grouped GEMM unit tests

Adds 6 device-level tests for the CollectiveMma/CollectiveBuilder
specializations introduced for MainloopSm120ArrayTmaWarpSpecialized,
covering both KernelPtrArrayTmaWarpSpecializedPingpongSm120<2> and
KernelPtrArrayTmaWarpSpecializedCooperativeSm120<2> schedule tags across
e4m3×e4m3 (symmetric), e4m3×e5m2 (mixed), float and bfloat16 outputs,
and two tile shapes.

Tests land in test/unit/gemm/device/sm120_tensorop_gemm/ under the new
cutlass_test_unit_sm120_grouped_gemm_device_tensorop CMake target, per
reviewer request in PR #3280.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

---------

Signed-off-by: Tyler Merritt <tgmerritt@gmail.com>
Co-authored-by: Claude <noreply@anthropic.com>

---------

Signed-off-by: Tyler Merritt <tgmerritt@gmail.com>
Co-authored-by: Alex Georgiev <89279829+alexngUNC@users.noreply.github.com>
Co-authored-by: Tyler <tgmerritt@gmail.com>
Co-authored-by: Claude <noreply@anthropic.com>

include/cute/algorithm/tuple_algorithms.hpp

@@ -182,6 +182,26 @@ for_each(T&& t, F&& f)
   CUTE_GCC_UNREACHABLE;
 }
 
+template <class T0, class T1, class F>
+CUTE_HOST_DEVICE constexpr
+void
+for_each(T0&& t0, T1&& t1, F&& f)
+{
+  if constexpr (is_tuple<remove_cvref_t<T0>>::value) {
+    static_assert(tuple_size<remove_cvref_t<T0>>::value == tuple_size<remove_cvref_t<T1>>::value, "Mismatched tuple_size");
+    return transform_apply(static_cast<T0&&>(t0), static_cast<T1&&>(t1), 
+      [&](auto&&... a){
+        f(static_cast<decltype(a)&&>(a)...);
+        return tuple<>{}; // dummy return value
+      },
+      [](auto...){});
+  } else {
+    return f(static_cast<T0&&>(t0), static_cast<T1&&>(t1));
+  }
+
+  CUTE_GCC_UNREACHABLE;
+}
+
 template <class T, class F>
 CUTE_HOST_DEVICE constexpr
 auto