66d9cddc83
* New updates. * Minor profiler updates Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
819 lines
24 KiB
C++
819 lines
24 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017 - 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 Definitions for GEMM structures
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*/
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#pragma once
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#include "cutlass/cutlass.h"
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#include "cutlass/numeric_types.h"
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#include "cutlass/arch/arch.h"
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#include "cutlass/arch/mma.h"
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#include "cutlass/arch/wmma.h"
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#include "cutlass/gemm/gemm.h"
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#include "cutlass/epilogue/thread/linear_combination.h"
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#include "cutlass/epilogue/thread/linear_combination_clamp.h"
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////////////////////////////////////////////////////////////////////////////////
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namespace cutlass {
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namespace gemm {
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namespace device {
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename OperatorClass,
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typename ArchTag,
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typename ElementA,
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typename ElementB,
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typename ElementC,
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typename ElementAccumulator
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>
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struct DefaultGemmConfiguration;
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ArchTag,
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typename ElementA,
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typename ElementB,
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typename ElementC,
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typename ElementAccumulator>
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struct DefaultGemmConfiguration<
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arch::OpClassSimt,
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ArchTag,
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ElementA,
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ElementB,
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ElementC,
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ElementAccumulator> {
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static int const kAlignmentA = 1;
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static int const kAlignmentB = 1;
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using ThreadblockShape = GemmShape<128, 128, 8>;
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using WarpShape = GemmShape<32, 64, 8>;
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using InstructionShape = GemmShape<1, 1, 1>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombination<
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ElementC,
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1,
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ElementAccumulator,
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ElementAccumulator
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>;
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using Operator = arch::OpMultiplyAdd;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ArchTag,
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typename ElementC>
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struct DefaultGemmConfiguration<arch::OpClassSimt, ArchTag, int8_t, int8_t, ElementC, int32_t> {
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static int const kAlignmentA = 4;
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static int const kAlignmentB = 4;
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using ThreadblockShape = GemmShape<128, 128, 32>;
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using WarpShape = GemmShape<32, 64, 32>;
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using InstructionShape = GemmShape<1, 1, 4>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
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ElementC,
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1,
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int32_t,
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float
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>;
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using Operator = arch::OpMultiplyAdd;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ArchTag,
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typename ElementA,
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typename ElementB,
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typename ElementC,
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typename ElementAccumulator>
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struct DefaultGemmConfiguration<
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arch::OpClassWmmaTensorOp,
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ArchTag,
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ElementA,
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ElementB,
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ElementC,
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ElementAccumulator> {
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static int const kAlignmentA = 128 / sizeof_bits<ElementA>::value;
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static int const kAlignmentB = 128 / sizeof_bits<ElementB>::value;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombination<
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ElementC,
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128 / sizeof_bits<ElementC>::value,
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ElementAccumulator,
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ElementAccumulator
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>;
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using Operator = arch::OpMultiplyAdd;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementA,
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typename ElementB,
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typename ElementC,
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typename ElementAccumulator>
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struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm70,
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ElementA,
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ElementB,
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ElementC,
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ElementAccumulator> {
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static int const kAlignmentA = 128 / sizeof_bits<ElementA>::value;
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static int const kAlignmentB = 128 / sizeof_bits<ElementB>::value;
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using ThreadblockShape = GemmShape<128, 256, 32>;
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using WarpShape = GemmShape<64, 64, 32>;
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using InstructionShape = GemmShape<8, 8, 4>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombination<
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ElementC,
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128 / sizeof_bits<ElementC>::value,
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ElementAccumulator,
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ElementAccumulator
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>;
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using Operator = arch::OpMultiplyAdd;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementA,
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typename ElementB,
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typename ElementC,
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typename ElementAccumulator>
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struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm75,
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ElementA,
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ElementB,
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ElementC,
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ElementAccumulator> {
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static int const kAlignmentA = 128 / sizeof_bits<ElementA>::value;
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static int const kAlignmentB = 128 / sizeof_bits<ElementA>::value;
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using ThreadblockShape = GemmShape<128, 256, 32>;
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using WarpShape = GemmShape<64, 64, 32>;
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using InstructionShape = GemmShape<16, 8, 8>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombination<
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ElementC,
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128 / sizeof_bits<ElementC>::value,
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ElementAccumulator,
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ElementAccumulator
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>;
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using Operator = typename platform::conditional<
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(platform::is_same<ElementA, int8_t>::value ||
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platform::is_same<ElementA, int4b_t>::value ||
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platform::is_same<ElementA, uint8_t>::value ||
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platform::is_same<ElementA, uint4b_t>::value),
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arch::OpMultiplyAddSaturate, arch::OpMultiplyAdd>::type;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementC>
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struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm75,
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int8_t,
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int8_t,
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ElementC,
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int32_t> {
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static int const kAlignmentA = 128 / sizeof_bits<int8_t>::value;
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static int const kAlignmentB = 128 / sizeof_bits<int8_t>::value;
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using ThreadblockShape = GemmShape<128, 256, 64>;
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using WarpShape = GemmShape<64, 64, 64>;
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using InstructionShape = GemmShape<8, 8, 16>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
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ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
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using Operator = arch::OpMultiplyAddSaturate;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementC>
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struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm75,
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int8_t,
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uint8_t,
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ElementC,
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int32_t> {
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static int const kAlignmentA = 128 / sizeof_bits<int8_t>::value;
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static int const kAlignmentB = 128 / sizeof_bits<uint8_t>::value;
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using ThreadblockShape = GemmShape<128, 256, 64>;
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using WarpShape = GemmShape<64, 64, 64>;
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using InstructionShape = GemmShape<8, 8, 16>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
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ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
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using Operator = arch::OpMultiplyAddSaturate;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementC>
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struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm75,
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uint8_t,
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int8_t,
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ElementC,
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int32_t> {
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static int const kAlignmentA = 128 / sizeof_bits<uint8_t>::value;
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static int const kAlignmentB = 128 / sizeof_bits<int8_t>::value;
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using ThreadblockShape = GemmShape<128, 256, 64>;
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using WarpShape = GemmShape<64, 64, 64>;
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using InstructionShape = GemmShape<8, 8, 16>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
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ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
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using Operator = arch::OpMultiplyAddSaturate;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementC>
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struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm75,
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uint8_t,
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uint8_t,
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ElementC,
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int32_t> {
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static int const kAlignmentA = 128 / sizeof_bits<uint8_t>::value;
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static int const kAlignmentB = 128 / sizeof_bits<uint8_t>::value;
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using ThreadblockShape = GemmShape<128, 256, 64>;
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using WarpShape = GemmShape<64, 64, 64>;
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using InstructionShape = GemmShape<8, 8, 16>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
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ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
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using Operator = arch::OpMultiplyAddSaturate;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementC>
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struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm75,
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int4b_t,
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int4b_t,
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ElementC,
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int32_t> {
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static int const kAlignmentA = 128 / sizeof_bits<int4b_t>::value;
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static int const kAlignmentB = 128 / sizeof_bits<int4b_t>::value;
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using ThreadblockShape = GemmShape<128, 256, 128>;
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using WarpShape = GemmShape<64, 64, 128>;
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using InstructionShape = GemmShape<8, 8, 32>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
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ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
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using Operator = arch::OpMultiplyAddSaturate;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementC>
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struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm75,
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int4b_t,
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uint4b_t,
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ElementC,
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int32_t> {
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static int const kAlignmentA = 128 / sizeof_bits<int4b_t>::value;
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static int const kAlignmentB = 128 / sizeof_bits<uint4b_t>::value;
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using ThreadblockShape = GemmShape<128, 256, 128>;
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using WarpShape = GemmShape<64, 64, 128>;
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using InstructionShape = GemmShape<8, 8, 32>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
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ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
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using Operator = arch::OpMultiplyAddSaturate;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementC>
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struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm75,
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uint4b_t,
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int4b_t,
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ElementC,
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int32_t> {
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static int const kAlignmentA = 128 / sizeof_bits<uint4b_t>::value;
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static int const kAlignmentB = 128 / sizeof_bits<int4b_t>::value;
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using ThreadblockShape = GemmShape<128, 256, 128>;
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using WarpShape = GemmShape<64, 64, 128>;
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using InstructionShape = GemmShape<8, 8, 32>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
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ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
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using Operator = arch::OpMultiplyAddSaturate;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementC>
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struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm75,
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uint4b_t,
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uint4b_t,
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ElementC,
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int32_t> {
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static int const kAlignmentA = 128 / sizeof_bits<uint4b_t>::value;
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static int const kAlignmentB = 128 / sizeof_bits<uint4b_t>::value;
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using ThreadblockShape = GemmShape<128, 256, 128>;
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using WarpShape = GemmShape<64, 64, 128>;
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using InstructionShape = GemmShape<8, 8, 32>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
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ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
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using Operator = arch::OpMultiplyAddSaturate;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <
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typename ElementC>
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struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm75,
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uint1b_t,
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uint1b_t,
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ElementC,
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int32_t> {
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static int const kAlignmentA = 128 / sizeof_bits<uint1b_t>::value;
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static int const kAlignmentB = 128 / sizeof_bits<uint1b_t>::value;
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using ThreadblockShape = GemmShape<128, 256, 512>;
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using WarpShape = GemmShape<64, 64, 512>;
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using InstructionShape = GemmShape<8, 8, 128>;
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static int const kStages = 2;
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using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
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ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
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using Operator = arch::OpXorPopc;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <typename ElementA, typename ElementB, typename ElementC,
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typename ElementAccumulator>
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struct DefaultGemmConfiguration<arch::OpClassTensorOp, arch::Sm80, ElementA,
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ElementB, ElementC, ElementAccumulator> {
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static int const kAlignmentA = 128 / sizeof_bits<ElementA>::value;
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static int const kAlignmentB = 128 / sizeof_bits<ElementA>::value;
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using ThreadblockShape = GemmShape<128, 256, 64>;
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using WarpShape = GemmShape<64, 64, 64>;
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using InstructionShape = GemmShape<16, 8, 16>;
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static int const kStages = 3;
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using EpilogueOutputOp = epilogue::thread::LinearCombination<
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ElementC, 128 / sizeof_bits<ElementC>::value, ElementAccumulator,
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ElementAccumulator>;
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using Operator = typename platform::conditional<
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(platform::is_same<ElementA, int8_t>::value ||
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platform::is_same<ElementA, int4b_t>::value ||
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platform::is_same<ElementA, uint8_t>::value ||
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platform::is_same<ElementA, uint4b_t>::value),
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arch::OpMultiplyAddSaturate, arch::OpMultiplyAdd>::type;
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};
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////////////////////////////////////////////////////////////////////////////////
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template <typename ElementC,
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typename ElementAccumulator>
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struct DefaultGemmConfiguration<arch::OpClassTensorOp, arch::Sm80, double,
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double, ElementC, ElementAccumulator> {
|
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|
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static int const kAlignmentA = 1;
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static int const kAlignmentB = 1;
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using ThreadblockShape = GemmShape<128, 256, 64>;
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using WarpShape = GemmShape<64, 64, 64>;
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using InstructionShape = GemmShape<16, 8, 16>;
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static int const kStages = 3;
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using EpilogueOutputOp = epilogue::thread::LinearCombination<
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ElementC, 128 / sizeof_bits<ElementC>::value, ElementAccumulator,
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ElementAccumulator>;
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|
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using Operator = arch::OpMultiplyAdd;
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};
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|
|
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template <>
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|
struct DefaultGemmConfiguration<
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arch::OpClassTensorOp,
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arch::Sm80,
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complex<double>,
|
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complex<double>,
|
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complex<double>,
|
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complex<double>
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> {
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|
|
static int const kAlignmentA = 1;
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static int const kAlignmentB = 1;
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using ThreadblockShape = GemmShape<64, 64, 16>;
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using WarpShape = GemmShape<32, 32, 16>;
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using InstructionShape = GemmShape<8, 8, 4>;
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static int const kStages = 3;
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|
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using EpilogueOutputOp = epilogue::thread::LinearCombination<
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complex<double>, 1, complex<double>,
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complex<double>>;
|
|
|
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using Operator = arch::OpMultiplyAddComplex;
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|
};
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|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
template <
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typename ElementC>
|
|
struct DefaultGemmConfiguration<
|
|
arch::OpClassTensorOp,
|
|
arch::Sm80,
|
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int8_t,
|
|
int8_t,
|
|
ElementC,
|
|
int32_t> {
|
|
|
|
static int const kAlignmentA = 128 / sizeof_bits<int8_t>::value;
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|
static int const kAlignmentB = 128 / sizeof_bits<int8_t>::value;
|
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|
|
using ThreadblockShape = GemmShape<128, 256, 64>;
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using WarpShape = GemmShape<64, 64, 64>;
|
|
using InstructionShape = GemmShape<16, 8, 32>;
|
|
static int const kStages = 3;
|
|
|
|
using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
|
|
ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
|
|
|
|
using Operator = arch::OpMultiplyAddSaturate;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
template <
|
|
typename ElementC>
|
|
struct DefaultGemmConfiguration<
|
|
arch::OpClassTensorOp,
|
|
arch::Sm80,
|
|
int8_t,
|
|
uint8_t,
|
|
ElementC,
|
|
int32_t> {
|
|
|
|
static int const kAlignmentA = 128 / sizeof_bits<int8_t>::value;
|
|
static int const kAlignmentB = 128 / sizeof_bits<uint8_t>::value;
|
|
|
|
using ThreadblockShape = GemmShape<128, 256, 64>;
|
|
using WarpShape = GemmShape<64, 64, 64>;
|
|
using InstructionShape = GemmShape<16, 8, 32>;
|
|
static int const kStages = 3;
|
|
|
|
using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
|
|
ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
|
|
|
|
using Operator = arch::OpMultiplyAddSaturate;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
template <
|
|
typename ElementC>
|
|
struct DefaultGemmConfiguration<
|
|
arch::OpClassTensorOp,
|
|
arch::Sm80,
|
|
uint8_t,
|
|
int8_t,
|
|
ElementC,
|
|
int32_t> {
|
|
|
|
static int const kAlignmentA = 128 / sizeof_bits<uint8_t>::value;
|
|
static int const kAlignmentB = 128 / sizeof_bits<int8_t>::value;
|
|
|
|
using ThreadblockShape = GemmShape<128, 256, 64>;
|
|
using WarpShape = GemmShape<64, 64, 64>;
|
|
using InstructionShape = GemmShape<16, 8, 32>;
|
|
static int const kStages = 3;
|
|
|
|
using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
|
|
ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
|
|
|
|
using Operator = arch::OpMultiplyAddSaturate;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
template <
|
|
typename ElementC>
|
|
struct DefaultGemmConfiguration<
|
|
arch::OpClassTensorOp,
|
|
arch::Sm80,
|
|
uint8_t,
|
|
uint8_t,
|
|
ElementC,
|
|
int32_t> {
|
|
|
|
static int const kAlignmentA = 128 / sizeof_bits<uint8_t>::value;
|
|
static int const kAlignmentB = 128 / sizeof_bits<uint8_t>::value;
|
|
|
|
using ThreadblockShape = GemmShape<128, 256, 64>;
|
|
using WarpShape = GemmShape<64, 64, 64>;
|
|
using InstructionShape = GemmShape<16, 8, 32>;
|
|
static int const kStages = 3;
|
|
|
|
using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
|
|
ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
|
|
|
|
using Operator = arch::OpMultiplyAddSaturate;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
template <
|
|
typename ElementC>
|
|
struct DefaultGemmConfiguration<
|
|
arch::OpClassTensorOp,
|
|
arch::Sm80,
|
|
int4b_t,
|
|
int4b_t,
|
|
ElementC,
|
|
int32_t> {
|
|
|
|
static int const kAlignmentA = 128 / sizeof_bits<int4b_t>::value;
|
|
static int const kAlignmentB = 128 / sizeof_bits<int4b_t>::value;
|
|
|
|
using ThreadblockShape = GemmShape<128, 256, 128>;
|
|
using WarpShape = GemmShape<64, 64, 128>;
|
|
using InstructionShape = GemmShape<16, 8, 64>;
|
|
static int const kStages = 3;
|
|
|
|
using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
|
|
ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
|
|
|
|
using Operator = arch::OpMultiplyAddSaturate;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
template <
|
|
typename ElementC>
|
|
struct DefaultGemmConfiguration<
|
|
arch::OpClassTensorOp,
|
|
arch::Sm80,
|
|
int4b_t,
|
|
uint4b_t,
|
|
ElementC,
|
|
int32_t> {
|
|
|
|
static int const kAlignmentA = 128 / sizeof_bits<int4b_t>::value;
|
|
static int const kAlignmentB = 128 / sizeof_bits<uint4b_t>::value;
|
|
|
|
using ThreadblockShape = GemmShape<128, 256, 128>;
|
|
using WarpShape = GemmShape<64, 64, 128>;
|
|
using InstructionShape = GemmShape<16, 8, 64>;
|
|
static int const kStages = 3;
|
|
|
|
using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
|
|
ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
|
|
|
|
using Operator = arch::OpMultiplyAddSaturate;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
template <
|
|
typename ElementC>
|
|
struct DefaultGemmConfiguration<
|
|
arch::OpClassTensorOp,
|
|
arch::Sm80,
|
|
uint4b_t,
|
|
int4b_t,
|
|
ElementC,
|
|
int32_t> {
|
|
|
|
static int const kAlignmentA = 128 / sizeof_bits<uint4b_t>::value;
|
|
static int const kAlignmentB = 128 / sizeof_bits<int4b_t>::value;
|
|
|
|
using ThreadblockShape = GemmShape<128, 256, 128>;
|
|
using WarpShape = GemmShape<64, 64, 128>;
|
|
using InstructionShape = GemmShape<16, 8, 64>;
|
|
static int const kStages = 3;
|
|
|
|
using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
|
|
ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
|
|
|
|
using Operator = arch::OpMultiplyAddSaturate;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
template <
|
|
typename ElementC>
|
|
struct DefaultGemmConfiguration<
|
|
arch::OpClassTensorOp,
|
|
arch::Sm80,
|
|
uint4b_t,
|
|
uint4b_t,
|
|
ElementC,
|
|
int32_t> {
|
|
|
|
static int const kAlignmentA = 128 / sizeof_bits<uint4b_t>::value;
|
|
static int const kAlignmentB = 128 / sizeof_bits<uint4b_t>::value;
|
|
|
|
using ThreadblockShape = GemmShape<128, 256, 128>;
|
|
using WarpShape = GemmShape<64, 64, 128>;
|
|
using InstructionShape = GemmShape<16, 8, 64>;
|
|
static int const kStages = 3;
|
|
|
|
using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
|
|
ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
|
|
|
|
using Operator = arch::OpMultiplyAddSaturate;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
template <
|
|
typename ElementC>
|
|
struct DefaultGemmConfiguration<
|
|
arch::OpClassTensorOp,
|
|
arch::Sm80,
|
|
uint1b_t,
|
|
uint1b_t,
|
|
ElementC,
|
|
int32_t> {
|
|
|
|
static int const kAlignmentA = 128 / sizeof_bits<uint1b_t>::value;
|
|
static int const kAlignmentB = 128 / sizeof_bits<uint1b_t>::value;
|
|
|
|
using ThreadblockShape = GemmShape<128, 256, 512>;
|
|
using WarpShape = GemmShape<64, 64, 512>;
|
|
using InstructionShape = GemmShape<16, 8, 256>;
|
|
static int const kStages = 3;
|
|
|
|
using EpilogueOutputOp = epilogue::thread::LinearCombinationClamp<
|
|
ElementC, 128 / sizeof_bits<ElementC>::value, int32_t, float>;
|
|
|
|
using Operator = arch::OpMultiplyAdd;
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
template <typename ElementC,
|
|
typename ElementAccumulator>
|
|
struct DefaultGemmConfiguration<arch::OpClassTensorOp, arch::Sm90, double,
|
|
double, ElementC, ElementAccumulator> {
|
|
|
|
static int const kAlignmentA = 1;
|
|
static int const kAlignmentB = 1;
|
|
|
|
using ThreadblockShape = GemmShape<128, 256, 64>;
|
|
using WarpShape = GemmShape<64, 64, 64>;
|
|
using InstructionShape = GemmShape<16, 8, 4>;
|
|
static int const kStages = 3;
|
|
|
|
using EpilogueOutputOp = epilogue::thread::LinearCombination<
|
|
ElementC, 128 / sizeof_bits<ElementC>::value, ElementAccumulator,
|
|
ElementAccumulator>;
|
|
|
|
using Operator = arch::OpMultiplyAdd;
|
|
};
|
|
|
|
template <>
|
|
struct DefaultGemmConfiguration<
|
|
arch::OpClassTensorOp,
|
|
arch::Sm90,
|
|
complex<double>,
|
|
complex<double>,
|
|
complex<double>,
|
|
complex<double>
|
|
> {
|
|
|
|
static int const kAlignmentA = 1;
|
|
static int const kAlignmentB = 1;
|
|
|
|
using ThreadblockShape = GemmShape<64, 64, 16>;
|
|
using WarpShape = GemmShape<32, 32, 16>;
|
|
using InstructionShape = GemmShape<16, 8, 4>;
|
|
static int const kStages = 3;
|
|
|
|
using EpilogueOutputOp = epilogue::thread::LinearCombination<
|
|
complex<double>, 1, complex<double>,
|
|
complex<double>>;
|
|
|
|
using Operator = arch::OpMultiplyAddComplex;
|
|
};
|
|
|
|
} // namespace device
|
|
} // namespace gemm
|
|
} // namespace cutlass
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|