168 lines
6.2 KiB
C++
168 lines
6.2 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2023 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/*! \file
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\brief High-level interface for running a grouped version of a CUTLASS kernel
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*/
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#pragma once
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#include "cutlass/cutlass.h"
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#include "cutlass/fast_math.h"
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#include "cutlass/gemm/gemm.h"
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#include "cutlass/matrix_coord.h"
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#include "cutlass/complex.h"
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#include "cutlass/semaphore.h"
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#include "cutlass/layout/matrix.h"
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#include "cutlass/trace.h"
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#include "cutlass/gemm/kernel/gemm_transpose_operands.h"
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#include "cutlass/gemm/kernel/gemm_grouped_problem_visitor.h"
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/////////////////////////////////////////////////////////////////////////////////////////////////
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namespace cutlass {
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namespace gemm {
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namespace kernel {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// High-level interface for running a grouped version of a CUTLASS kernel
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template <
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typename BaseKernel_ ///! Kernel-scoped matrix multiply-accumulate
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>
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struct GroupedKernel {
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public:
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using BaseKernel = BaseKernel_;
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using Epilogue = typename BaseKernel::Epilogue;
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/// Types that need to be exported to work properly with device::BaseGrouped
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using ElementA = typename BaseKernel::ElementA;
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using LayoutA = typename BaseKernel::LayoutA;
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using TensorRefA = TensorRef<ElementA const, LayoutA>;
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static ComplexTransform const kTransformA = BaseKernel::kTransformA;
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static int const kAlignmentA = BaseKernel::kAlignmentA;
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using ElementB = typename BaseKernel::ElementB;
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using LayoutB = typename BaseKernel::LayoutB;
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using TensorRefB = TensorRef<ElementB const, LayoutB>;
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static ComplexTransform const kTransformB = BaseKernel::kTransformB;
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static int const kAlignmentB = BaseKernel::kAlignmentB;
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using ElementC = typename BaseKernel::ElementC;
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using LayoutC = typename BaseKernel::LayoutC;
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using TensorRefC = TensorRef<ElementC const, LayoutC>;
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using TensorRefD = TensorRef<ElementC, LayoutC>;
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static int const kAlignmentC = BaseKernel::kAlignmentC;
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using ElementAccumulator = typename BaseKernel::Mma::Policy::Operator::ElementC;
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using EpilogueOutputOp = typename BaseKernel::EpilogueOutputOp;
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using ThreadblockSwizzle = typename BaseKernel::ThreadblockSwizzle;
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using Operator = typename BaseKernel::Operator;
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using WarpMmaOperator = typename BaseKernel::Mma::Policy::Operator;
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using ArchMmaOperator = typename WarpMmaOperator::ArchMmaOperator;
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using MathOperator = typename WarpMmaOperator::MathOperator;
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using OperatorClass = typename WarpMmaOperator::OperatorClass;
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using ArchTag = typename WarpMmaOperator::ArchTag;
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using ThreadblockShape = typename BaseKernel::Mma::Shape;
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using WarpShape = typename BaseKernel::WarpShape;
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using InstructionShape = typename BaseKernel::InstructionShape;
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static int const kStages = BaseKernel::Mma::kStages;
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using Mma = typename BaseKernel::Mma;
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using Arguments = typename BaseKernel::GroupedArguments;
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using Params = typename BaseKernel::GroupedParams;
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using ProblemVisitor = typename ThreadblockSwizzle::ProblemVisitor;
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static int const kThreadCount = BaseKernel::kThreadCount;
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/// Shared memory storage structure
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struct SharedStorage {
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typename BaseKernel::SharedStorage kernel;
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// ProblemVisitor shared storage can't be overlapped with others
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typename ProblemVisitor::SharedStorage problem_visitor;
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};
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public:
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//
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// Methods
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//
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CUTLASS_DEVICE
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GroupedKernel() { }
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/// Determines whether kernel satisfies alignment
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static Status can_implement(cutlass::gemm::GemmCoord const & problem_size) {
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return Status::kSuccess;
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}
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static Status can_implement(Arguments const &args) {
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return Status::kSuccess;
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}
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/// Executes a kernel-level GEMM in a loop
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CUTLASS_DEVICE
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void operator()(Params ¶ms, SharedStorage &shared_storage) {
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ThreadblockSwizzle swizzle(params.problem_visitor, shared_storage.problem_visitor, blockIdx.x);
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if (ProblemVisitor::kTransposed) {
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params.transpose();
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}
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BaseKernel mma;
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// Outer 'persistent' loop to iterate over tiles
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while (swizzle.problem_visitor.next_tile()) {
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typename BaseKernel::Params mma_params = params.to_single_params(swizzle.problem_visitor);
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mma.run_with_swizzle(mma_params, shared_storage.kernel, swizzle);
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// Next tile
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swizzle.problem_visitor.advance(gridDim.x);
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}
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace kernel
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} // namespace gemm
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} // namespace cutlass
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/////////////////////////////////////////////////////////////////////////////////////////////////
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