CUTLASS 3.0.0 (#786)

* CUTLASS 3.0.0
2023-01-23 20:55:28 -05:00
parent 66d9cddc83
commit 277bd6e537
377 changed files with 76396 additions and 1186 deletions
@@ -0,0 +1,144 @@
+/***************************************************************************************************
+ * Copyright (c) 2023 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: BSD-3-Clause
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ * 1. Redistributions of source code must retain the above copyright notice, this
+ * list of conditions and the following disclaimer.
+ *
+ * 2. Redistributions in binary form must reproduce the above copyright notice,
+ * this list of conditions and the following disclaimer in the documentation
+ * and/or other materials provided with the distribution.
+ *
+ * 3. Neither the name of the copyright holder nor the names of its
+ * contributors may be used to endorse or promote products derived from
+ * this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+ * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+ * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ *
+ **************************************************************************************************/
+#pragma once
+
+#include "cutlass/arch/arch.h"
+
+#include "cute/layout.hpp"
+#include "cute/numeric/integral_constant.hpp"
+
+//////////////////////////////////////////////////////////////////////////////
+
+namespace cutlass::gemm {
+using namespace cute;
+
+//////////////////////////////////////////////////////////////////////////////
+
+//
+// Policies for categorical dispatch of mainloop against kernel grid schedules
+//
+struct KernelMultistage { };
+struct KernelTma { };
+struct KernelTmaWarpSpecialized { };
+struct KernelTmaWarpSpecializedPersistent { };
+
+//
+// Collective Mainloop Policies
+//
+
+// 2 stage pipeline through 1 stage in smem, 1 in rmem, WITHOUT predicated gmem loads
+struct MainloopSm70TwoStageUnpredicated {
+  constexpr static int Stages = 2;
+  using ArchTag = arch::Sm70;
+  using Schedule = KernelMultistage;
+  using ClusterShape = Shape<_1,_1,_1>;
+};
+
+// 2 stage pipeline through 1 stage in smem, 1 in rmem, with predicated gmem loads
+struct MainloopSm70TwoStage {
+  constexpr static int Stages = 2;
+  using ArchTag = arch::Sm70;
+  using Schedule = KernelMultistage;
+  using ClusterShape = Shape<_1,_1,_1>;
+};
+
+// n-buffer in smem (cp.async), pipelined with registers, WITHOUT predicated gmem loads
+template<int Stages_>
+struct MainloopSm80CpAsyncUnpredicated {
+  constexpr static int Stages = Stages_;
+  using ArchTag = arch::Sm80;
+  using Schedule = KernelMultistage;
+  using ClusterShape = Shape<_1,_1,_1>;
+};
+
+// n-buffer in smem (cp.async), pipelined with registers, with predicated gmem loads
+template<int Stages_>
+struct MainloopSm80CpAsync {
+  constexpr static int Stages = Stages_;
+  using ArchTag = arch::Sm80;
+  using Schedule = KernelMultistage;
+  using ClusterShape = Shape<_1,_1,_1>;
+};
+
+// n-buffer in smem (cp.async), pipelined with Hopper GMMA, WITHOUT predicated gmem loads
+template<
+  int Stages_,
+  class ClusterShape_ = Shape<_1,_1,_1>
+>
+struct MainloopSm90CpAsyncGmmaUnpredicated {
+  constexpr static int Stages = Stages_;
+  using ClusterShape = ClusterShape_;
+  using ArchTag = arch::Sm90;
+  using Schedule = KernelMultistage;
+};
+
+// n-buffer in smem (cp.async), pipelined with Hopper GMMA, with predicated gmem loads
+template<
+  int Stages_,
+  class ClusterShape_ = Shape<_1,_1,_1>
+>
+struct MainloopSm90CpAsyncGmma {
+  constexpr static int Stages = Stages_;
+  using ClusterShape = ClusterShape_;
+  using ArchTag = arch::Sm90;
+  using Schedule = KernelMultistage;
+};
+
+// n-buffer in smem (Hopper TMA), pipelined with Hopper GMMA and TMA, static schedule between TMA and GMMA
+template<
+  int Stages_,
+  class ClusterShape_ = Shape<_1,_1,_1>,
+  int PipelineAsyncMmaStages_ = 1
+>
+struct MainloopSm90TmaGmma {
+  constexpr static int Stages = Stages_;
+  using ClusterShape = ClusterShape_;
+  constexpr static int PipelineAsyncMmaStages = PipelineAsyncMmaStages_;
+  using ArchTag = arch::Sm90;
+  using Schedule = KernelTma;
+};
+
+// n-buffer in smem (Hopper TMA), pipelined with Hopper GMMA and TMA, Warp specialized dynamic schedule
+template<
+  int Stages_,
+  class ClusterShape_ = Shape<_1,_1,_1>,
+  class KernelSchedule = KernelTmaWarpSpecialized
+>
+struct MainloopSm90TmaGmmaWarpSpecialized {
+  constexpr static int Stages = Stages_;
+  using ClusterShape = ClusterShape_;
+  using ArchTag = arch::Sm90;
+  using Schedule = KernelSchedule;
+};
+
+//////////////////////////////////////////////////////////////////////////////
+
+} // namespace cutlass::gemm