Add grouped b2b GEMM (#970)

2023-06-05 17:16:57 -04:00
parent fde824af21
commit 87349d3496
15 changed files with 1644 additions and 107 deletions
@@ -0,0 +1,168 @@
+/***************************************************************************************************
+ * 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.
+ *
+ **************************************************************************************************/
+
+/*! \file
+    \brief High-level interface for running a grouped version of a CUTLASS kernel
+*/
+
+#pragma once
+
+#include "cutlass/cutlass.h"
+#include "cutlass/fast_math.h"
+#include "cutlass/gemm/gemm.h"
+#include "cutlass/matrix_coord.h"
+#include "cutlass/complex.h"
+#include "cutlass/semaphore.h"
+
+#include "cutlass/layout/matrix.h"
+#include "cutlass/trace.h"
+#include "cutlass/gemm/kernel/gemm_transpose_operands.h"
+#include "cutlass/gemm/kernel/gemm_grouped_problem_visitor.h"
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+
+namespace cutlass {
+namespace gemm {
+namespace kernel {
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+
+/// High-level interface for running a grouped version of a CUTLASS kernel
+template <
+  typename BaseKernel_   ///! Kernel-scoped matrix multiply-accumulate
+>
+struct GroupedKernel {
+public:
+
+  using BaseKernel = BaseKernel_;
+  using Epilogue = typename BaseKernel::Epilogue;
+
+  /// Types that need to be exported to work properly with device::BaseGrouped
+  using ElementA = typename BaseKernel::ElementA;
+  using LayoutA = typename BaseKernel::LayoutA;
+  using TensorRefA = TensorRef<ElementA const, LayoutA>;
+  static ComplexTransform const kTransformA = BaseKernel::kTransformA;
+  static int const kAlignmentA = BaseKernel::kAlignmentA;
+
+  using ElementB = typename BaseKernel::ElementB;
+  using LayoutB = typename BaseKernel::LayoutB;
+  using TensorRefB = TensorRef<ElementB const, LayoutB>;
+  static ComplexTransform const kTransformB = BaseKernel::kTransformB;
+  static int const kAlignmentB = BaseKernel::kAlignmentB;
+
+  using ElementC = typename BaseKernel::ElementC;
+  using LayoutC = typename BaseKernel::LayoutC;
+  using TensorRefC = TensorRef<ElementC const, LayoutC>;
+  using TensorRefD = TensorRef<ElementC, LayoutC>;
+  static int const kAlignmentC = BaseKernel::kAlignmentC;
+
+  using ElementAccumulator = typename BaseKernel::Mma::Policy::Operator::ElementC;
+
+  using EpilogueOutputOp = typename BaseKernel::EpilogueOutputOp;
+  using ThreadblockSwizzle = typename BaseKernel::ThreadblockSwizzle;
+
+  using Operator = typename BaseKernel::Operator;
+  using WarpMmaOperator = typename BaseKernel::Mma::Policy::Operator;
+
+  using ArchMmaOperator = typename WarpMmaOperator::ArchMmaOperator;
+  using MathOperator = typename WarpMmaOperator::MathOperator;
+  using OperatorClass = typename WarpMmaOperator::OperatorClass;
+  using ArchTag = typename WarpMmaOperator::ArchTag;
+  using ThreadblockShape = typename BaseKernel::Mma::Shape;
+  using WarpShape = typename BaseKernel::WarpShape;
+  using InstructionShape = typename BaseKernel::InstructionShape;
+  static int const kStages = BaseKernel::Mma::kStages;
+
+  using Mma = typename BaseKernel::Mma;
+
+  using Arguments = typename BaseKernel::GroupedArguments;
+  using Params = typename BaseKernel::GroupedParams;
+  using ProblemVisitor = typename ThreadblockSwizzle::ProblemVisitor;
+
+  static int const kThreadCount = BaseKernel::kThreadCount;
+
+  /// Shared memory storage structure
+  struct SharedStorage {
+    typename BaseKernel::SharedStorage kernel;
+
+    // ProblemVisitor shared storage can't be overlapped with others
+    typename ProblemVisitor::SharedStorage problem_visitor;
+  };
+
+public:
+
+  //
+  // Methods
+  //
+
+  CUTLASS_DEVICE
+  GroupedKernel() { }
+
+  /// Determines whether kernel satisfies alignment
+  static Status can_implement(cutlass::gemm::GemmCoord const & problem_size) {
+    return Status::kSuccess;
+  }
+
+  static Status can_implement(Arguments const &args) {
+    return Status::kSuccess;
+  }
+
+  /// Executes a kernel-level GEMM in a loop
+  CUTLASS_DEVICE
+  void operator()(Params &params, SharedStorage &shared_storage) {
+
+    ThreadblockSwizzle swizzle(params.problem_visitor, shared_storage.problem_visitor, blockIdx.x);
+
+    if (ProblemVisitor::kTransposed) {
+      params.transpose();
+    }
+
+    BaseKernel mma;
+
+    // Outer 'persistent' loop to iterate over tiles
+    while (swizzle.problem_visitor.next_tile()) {
+
+      typename BaseKernel::Params mma_params = params.to_single_params(swizzle.problem_visitor);
+      mma.run_with_swizzle(mma_params, shared_storage.kernel, swizzle);
+
+      // Next tile
+      swizzle.problem_visitor.advance(gridDim.x);
+    }
+  }
+};
+
+/////////////////////////////////////////////////////////////////////////////////////////////////
+
+} // namespace kernel
+} // namespace gemm
+} // namespace cutlass
+
+/////////////////////////////////////////////////////////////////////////////////////////////////