66d9cddc83
* New updates. * Minor profiler updates Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
1686 lines
43 KiB
C++
1686 lines
43 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 Sparse matrix multiply accumulate for SM80
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*/
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#pragma once
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#if defined(__CUDACC_RTC__)
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#include <cuda/std/cassert>
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#else
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#include <assert.h>
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#endif
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#include "mma.h"
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#include "cutlass/layout/matrix.h"
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#include "cutlass/numeric_types.h"
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/////////////////////////////////////////////////////////////////////////////////////////////////
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#if ((__CUDACC_VER_MAJOR__ > 11) || (__CUDACC_VER_MAJOR__ == 11 && __CUDACC_VER_MINOR__ >= 1))
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#define CUTLASS_ARCH_SPARSE_MMA_SM80_SUPPORTED 1
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#if (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 800))
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#define CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED
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#endif
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#endif
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/////////////////////////////////////////////////////////////////////////////////////////////////
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namespace cutlass {
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namespace arch {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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////////////////////////////////////////////////////////////////////////////////
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//
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// Sparse Matrix Multiply 16832
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//
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////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation: F16 = F16 * F16 + F16
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template <>
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struct SparseMma<
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gemm::GemmShape<16, 8, 32>,
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32,
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half_t,
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layout::RowMajor,
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half_t,
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layout::ColumnMajor,
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half_t,
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layout::RowMajor,
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OpMultiplyAdd,
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SPFormatType::Thread
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> {
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using Shape = gemm::GemmShape<16, 8, 32>;
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using ElementA = half_t;
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using LayoutA = layout::RowMajor;
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using FragmentA = Array<half_t, 8>;
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using ElementB = half_t;
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using LayoutB = layout::ColumnMajor;
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using FragmentB = Array<half_t, 8>;
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using ElementC = half_t;
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using LayoutC = layout::RowMajor;
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using FragmentC = Array<half_t, 4>;
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using FragmentE = uint32_t;
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using Operator = OpMultiplyAdd;
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using ArchTag = arch::Sm80;
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static int const kSparse = 2;
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static int const kMetaSizeInBits = 2;
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static int const kMaxID2 = 2;
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/// Computes multiply-add
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CUTLASS_HOST_DEVICE
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void operator()(FragmentC &d, FragmentA const &a, FragmentB const &b,
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FragmentC const &c, uint32_t const &E, int const id2) const {
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#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
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uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
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uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
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uint32_t const *C = reinterpret_cast<uint32_t const *>(&c);
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uint32_t *D = reinterpret_cast<uint32_t *>(&d);
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if (id2 == 0) {
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asm volatile(
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"mma.sp.sync.aligned.m16n8k32.row.col.f16.f16.f16.f16 {%0,%1}, "
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"{%2,%3,%4,%5}, {%6,%7,%8,%9}, {%10,%11}, %12, 0x0;\n"
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: "=r"(D[0]), "=r"(D[1])
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: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]),
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"r"(B[2]), "r"(B[3]), "r"(C[0]), "r"(C[1]), "r"(E));
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}
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else if (id2 == 1) {
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asm volatile(
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"mma.sp.sync.aligned.m16n8k32.row.col.f16.f16.f16.f16 {%0,%1}, "
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"{%2,%3,%4,%5}, {%6,%7,%8,%9}, {%10,%11}, %12, 0x1;\n"
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: "=r"(D[0]), "=r"(D[1])
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: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]),
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"r"(B[2]), "r"(B[3]), "r"(C[0]), "r"(C[1]), "r"(E));
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}
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else {
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assert(0);
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}
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#else
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CUTLASS_UNUSED(a);
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CUTLASS_UNUSED(b);
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CUTLASS_UNUSED(c);
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CUTLASS_UNUSED(d);
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assert(0);
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#endif
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}
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};
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////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation: F32 = F16 * F16 + F32
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template <>
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struct SparseMma<
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gemm::GemmShape<16, 8, 32>,
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32,
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half_t,
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layout::RowMajor,
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half_t,
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layout::ColumnMajor,
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float,
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layout::RowMajor,
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OpMultiplyAdd,
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SPFormatType::Thread
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> {
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using Shape = gemm::GemmShape<16, 8, 32>;
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using ElementA = half_t;
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using LayoutA = layout::RowMajor;
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using FragmentA = Array<half_t, 8>;
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using ElementB = half_t;
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using LayoutB = layout::ColumnMajor;
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using FragmentB = Array<half_t, 8>;
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using ElementC = float;
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using LayoutC = layout::RowMajor;
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using FragmentC = Array<float, 4>;
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using FragmentE = uint32_t;
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using Operator = OpMultiplyAdd;
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using ArchTag = arch::Sm80;
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static int const kSparse = 2;
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static int const kMetaSizeInBits = 2;
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static int const kMaxID2 = 2;
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/// Computes multiply-add
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CUTLASS_HOST_DEVICE
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void operator()(FragmentC &d, FragmentA const &a, FragmentB const &b,
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FragmentC const &c, uint32_t const &E, int const id2) const {
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#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
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uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
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uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
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float const *C = reinterpret_cast<float const *>(&c);
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float *D = reinterpret_cast<float *>(&d);
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if (id2 == 0) {
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asm volatile(
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"mma.sp.sync.aligned.m16n8k32.row.col.f32.f16.f16.f32 {%0,%1,%2,%3}, "
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"{%4,%5,%6,%7}, {%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
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: "=f"(D[0]), "=f"(D[1]), "=f"(D[2]), "=f"(D[3])
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: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]),
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"r"(B[2]), "r"(B[3]), "f"(C[0]), "f"(C[1]), "f"(C[2]), "f"(C[3]),
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"r"(E));
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}
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else if (id2 == 1) {
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asm volatile(
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"mma.sp.sync.aligned.m16n8k32.row.col.f32.f16.f16.f32 {%0,%1,%2,%3}, "
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"{%4,%5,%6,%7}, {%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x1;\n"
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: "=f"(D[0]), "=f"(D[1]), "=f"(D[2]), "=f"(D[3])
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: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]),
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"r"(B[2]), "r"(B[3]), "f"(C[0]), "f"(C[1]), "f"(C[2]), "f"(C[3]),
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"r"(E));
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}
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else {
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assert(0);
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}
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#else
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CUTLASS_UNUSED(a);
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CUTLASS_UNUSED(b);
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CUTLASS_UNUSED(c);
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CUTLASS_UNUSED(d);
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assert(0);
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#endif
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}
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};
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////////////////////////////////////////////////////////////////////////////////
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//
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// Sparse Matrix Multiply 16832 - Float BF16, FP32 accumulation
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//
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////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation: F32 = bf16 * bf16 + F32
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template <>
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struct SparseMma<gemm::GemmShape<16, 8, 32>, 32, bfloat16_t, layout::RowMajor,
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bfloat16_t, layout::ColumnMajor, float, layout::RowMajor,
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OpMultiplyAdd, SPFormatType::Thread> {
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using Shape = gemm::GemmShape<16, 8, 32>;
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using ElementA = bfloat16_t;
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using LayoutA = layout::RowMajor;
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using FragmentA = Array<bfloat16_t, 8>;
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using ElementB = bfloat16_t;
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using LayoutB = layout::ColumnMajor;
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using FragmentB = Array<bfloat16_t, 8>;
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using ElementC = float;
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using LayoutC = layout::RowMajor;
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using FragmentC = Array<float, 4>;
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using FragmentE = uint32_t;
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using Operator = OpMultiplyAdd;
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using ArchTag = arch::Sm80;
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static int const kSparse = 2;
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static int const kMetaSizeInBits = 2;
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static int const kMaxID2 = 2;
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CUTLASS_HOST_DEVICE
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void operator()(FragmentC &d, FragmentA const &a, FragmentB const &b,
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FragmentC const &c, uint32_t const &E, int const id2) const {
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#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
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uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
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uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
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float const *C = reinterpret_cast<float const *>(&c);
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float *D = reinterpret_cast<float *>(&d);
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if (id2 == 0) {
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asm volatile(
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"mma.sp.sync.aligned.m16n8k32.row.col.f32.bf16.bf16.f32 "
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"{%0,%1,%2,%3}, {%4,%5,%6,%7}, {%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
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: "=f"(D[0]), "=f"(D[1]), "=f"(D[2]), "=f"(D[3])
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: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
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"f"(C[0]), "f"(C[1]), "f"(C[2]), "f"(C[3]), "r"(E));
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} else if (id2 == 1) {
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asm volatile(
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"mma.sp.sync.aligned.m16n8k32.row.col.f32.bf16.bf16.f32 "
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"{%0,%1,%2,%3}, {%4,%5,%6,%7}, {%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x1;\n"
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: "=f"(D[0]), "=f"(D[1]), "=f"(D[2]), "=f"(D[3])
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: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
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"f"(C[0]), "f"(C[1]), "f"(C[2]), "f"(C[3]), "r"(E));
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} else {
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assert(0);
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}
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#else
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CUTLASS_UNUSED(a);
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CUTLASS_UNUSED(b);
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CUTLASS_UNUSED(c);
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CUTLASS_UNUSED(d);
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assert(0);
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#endif
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}
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};
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////////////////////////////////////////////////////////////////////////////////
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//
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// Sparse Matrix Multiply 16816 - Float TF32
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//
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////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation: F32 = tf32 * tf32 + F32
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template <>
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struct SparseMma<gemm::GemmShape<16, 8, 16>, 32, tfloat32_t, layout::RowMajor,
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tfloat32_t, layout::ColumnMajor, float, layout::RowMajor,
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OpMultiplyAdd, SPFormatType::Thread> {
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using Shape = gemm::GemmShape<16, 8, 16>;
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using ElementA = tfloat32_t;
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using LayoutA = layout::RowMajor;
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using FragmentA = Array<tfloat32_t, 4>;
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using ElementB = tfloat32_t;
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using LayoutB = layout::ColumnMajor;
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using FragmentB = Array<tfloat32_t, 4>;
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using ElementC = float;
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using LayoutC = layout::RowMajor;
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using FragmentC = Array<float, 4>;
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using FragmentE = uint32_t;
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using Operator = OpMultiplyAdd;
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using ArchTag = arch::Sm80;
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static int const kSparse = 2;
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static int const kMetaSizeInBits = 4;
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static int const kMaxID2 = 2;
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CUTLASS_HOST_DEVICE
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void operator()(FragmentC &d, FragmentA const &a, FragmentB const &b,
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FragmentC const &c, uint32_t const &E, int const id2) const {
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#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
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uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
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uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
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float const *C = reinterpret_cast<float const *>(&c);
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float *D = reinterpret_cast<float *>(&d);
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if (id2 == 0) {
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asm volatile(
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"mma.sp.sync.aligned.m16n8k16.row.col.f32.tf32.tf32.f32 "
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"{%0,%1,%2,%3}, {%4,%5,%6,%7}, {%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
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: "=f"(D[0]), "=f"(D[1]), "=f"(D[2]), "=f"(D[3])
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: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
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"f"(C[0]), "f"(C[1]), "f"(C[2]), "f"(C[3]), "r"(E));
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} else if (id2 == 1) {
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asm volatile(
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"mma.sp.sync.aligned.m16n8k16.row.col.f32.tf32.tf32.f32 "
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"{%0,%1,%2,%3}, {%4,%5,%6,%7}, {%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x1;\n"
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: "=f"(D[0]), "=f"(D[1]), "=f"(D[2]), "=f"(D[3])
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: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
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"f"(C[0]), "f"(C[1]), "f"(C[2]), "f"(C[3]), "r"(E));
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} else {
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assert(0);
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}
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#else
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CUTLASS_UNUSED(a);
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CUTLASS_UNUSED(b);
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CUTLASS_UNUSED(c);
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CUTLASS_UNUSED(d);
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assert(0);
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#endif
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}
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};
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////////////////////////////////////////////////////////////////////////////////
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//
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// Sparse Matrix Multiply 16864 - S8 input, S32 accumulation
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//
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////////////////////////////////////////////////////////////////////////////////
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|
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/// Matrix multiply-add operation: S32 = S8 * S8 + S32
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template <>
|
|
struct SparseMma<
|
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gemm::GemmShape<16,8,64>,
|
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32,
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int8_t,
|
|
layout::RowMajor,
|
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int8_t,
|
|
layout::ColumnMajor,
|
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int,
|
|
layout::RowMajor,
|
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OpMultiplyAdd,
|
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SPFormatType::Thread> {
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using Shape = gemm::GemmShape<16,8,64>;
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using ElementA = int8_t;
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using LayoutA = layout::RowMajor;
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using FragmentA = Array<int8_t, 16>;
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|
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using ElementB = int8_t;
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using LayoutB = layout::ColumnMajor;
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using FragmentB = Array<int8_t, 16>;
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|
|
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using ElementC = int;
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using LayoutC = layout::RowMajor;
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using FragmentC = Array<int, 4>;
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|
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using FragmentE = uint32_t;
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|
|
|
using Operator = OpMultiplyAdd;
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|
using ArchTag = arch::Sm80;
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|
|
|
static int const kSparse = 2;
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|
|
|
static int const kMetaSizeInBits = 2;
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|
|
|
static int const kMaxID2 = 1;
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|
|
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/// Computes multiply-add
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|
CUTLASS_HOST_DEVICE
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|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
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|
) const {
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|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
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uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
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|
|
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int const *C = reinterpret_cast<int const *>(&c);
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int *D = reinterpret_cast<int *>(&d);
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|
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if (id2 == 0)
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|
asm volatile(
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"mma.sp.sync.aligned.m16n8k64.row.col.s32.s8.s8.s32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
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|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = S8 * U8 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,64>,
|
|
32,
|
|
int8_t,
|
|
layout::RowMajor,
|
|
uint8_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAdd,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,64>;
|
|
|
|
using ElementA = int8_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<int8_t, 16>;
|
|
|
|
using ElementB = uint8_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<uint8_t, 16>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k64.row.col.s32.s8.u8.s32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = U8 * S8 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,64>,
|
|
32,
|
|
uint8_t,
|
|
layout::RowMajor,
|
|
int8_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAdd,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,64>;
|
|
|
|
using ElementA = uint8_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<uint8_t, 16>;
|
|
|
|
using ElementB = int8_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<int8_t, 16>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k64.row.col.s32.u8.s8.s32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = U8 * U8 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,64>,
|
|
32,
|
|
uint8_t,
|
|
layout::RowMajor,
|
|
uint8_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAdd,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,64>;
|
|
|
|
using ElementA = uint8_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<uint8_t, 16>;
|
|
|
|
using ElementB = uint8_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<uint8_t, 16>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k64.row.col.s32.u8.u8.s32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// Sparse Matrix Multiply 16864 - S8 input, S32 accumulation - SATURATE
|
|
//
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Matrix multiply-add operation: S32 = S8 * S8 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,64>,
|
|
32,
|
|
int8_t,
|
|
layout::RowMajor,
|
|
int8_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAddSaturate,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,64>;
|
|
|
|
using ElementA = int8_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<int8_t, 16>;
|
|
|
|
using ElementB = int8_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<int8_t, 16>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k64.row.col.s32.s8.s8.s32.satfinite {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = S8 * U8 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,64>,
|
|
32,
|
|
int8_t,
|
|
layout::RowMajor,
|
|
uint8_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAddSaturate,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,64>;
|
|
|
|
using ElementA = int8_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<int8_t, 16>;
|
|
|
|
using ElementB = uint8_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<uint8_t, 16>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k64.row.col.s32.s8.u8.s32.satfinite {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = U8 * S8 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,64>,
|
|
32,
|
|
uint8_t,
|
|
layout::RowMajor,
|
|
int8_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAddSaturate,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,64>;
|
|
|
|
using ElementA = uint8_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<uint8_t, 16>;
|
|
|
|
using ElementB = int8_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<int8_t, 16>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k64.row.col.s32.u8.s8.s32.satfinite {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = U8 * U8 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,64>,
|
|
32,
|
|
uint8_t,
|
|
layout::RowMajor,
|
|
uint8_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAddSaturate,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,64>;
|
|
|
|
using ElementA = uint8_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<uint8_t, 16>;
|
|
|
|
using ElementB = uint8_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<uint8_t, 16>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k64.row.col.s32.u8.u8.s32.satfinite {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// Sparse Matrix Multiply 168128 - S4 input, S32 accumulation
|
|
//
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Matrix multiply-add operation: S32 = S4 * S4 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,128>,
|
|
32,
|
|
cutlass::int4b_t,
|
|
layout::RowMajor,
|
|
cutlass::int4b_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAdd,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,128>;
|
|
|
|
using ElementA = cutlass::int4b_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<cutlass::int4b_t, 32>;
|
|
|
|
using ElementB = cutlass::int4b_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<cutlass::int4b_t, 32>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k128.row.col.s32.s4.s4.s32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = S4 * U4 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,128>,
|
|
32,
|
|
cutlass::int4b_t,
|
|
layout::RowMajor,
|
|
cutlass::uint4b_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAdd,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,128>;
|
|
|
|
using ElementA = cutlass::int4b_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<cutlass::int4b_t, 32>;
|
|
|
|
using ElementB = cutlass::uint4b_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<cutlass::uint4b_t, 32>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k128.row.col.s32.s4.u4.s32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = U4 * S4 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,128>,
|
|
32,
|
|
cutlass::uint4b_t,
|
|
layout::RowMajor,
|
|
cutlass::int4b_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAdd,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,128>;
|
|
|
|
using ElementA = cutlass::uint4b_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<cutlass::uint4b_t, 32>;
|
|
|
|
using ElementB = cutlass::int4b_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<cutlass::int4b_t, 32>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k128.row.col.s32.u4.s4.s32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = U4 * U4 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,128>,
|
|
32,
|
|
cutlass::uint4b_t,
|
|
layout::RowMajor,
|
|
cutlass::uint4b_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAdd,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,128>;
|
|
|
|
using ElementA = cutlass::uint4b_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<cutlass::uint4b_t, 32>;
|
|
|
|
using ElementB = cutlass::uint4b_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<cutlass::uint4b_t, 32>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k128.row.col.s32.u4.u4.s32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// Sparse Matrix Multiply 168128 - S4 input, S32 accumulation - SATURATE
|
|
//
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Matrix multiply-add operation: S32 = S4 * S4 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,128>,
|
|
32,
|
|
cutlass::int4b_t,
|
|
layout::RowMajor,
|
|
cutlass::int4b_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAddSaturate,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,128>;
|
|
|
|
using ElementA = cutlass::int4b_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<cutlass::int4b_t, 32>;
|
|
|
|
using ElementB = cutlass::int4b_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<cutlass::int4b_t, 32>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k128.row.col.s32.s4.s4.s32.satfinite {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = S4 * U4 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,128>,
|
|
32,
|
|
cutlass::int4b_t,
|
|
layout::RowMajor,
|
|
cutlass::uint4b_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAddSaturate,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,128>;
|
|
|
|
using ElementA = cutlass::int4b_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<cutlass::int4b_t, 32>;
|
|
|
|
using ElementB = cutlass::uint4b_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<cutlass::uint4b_t, 32>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k128.row.col.s32.s4.u4.s32.satfinite {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = U4 * S4 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,128>,
|
|
32,
|
|
cutlass::uint4b_t,
|
|
layout::RowMajor,
|
|
cutlass::int4b_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAddSaturate,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,128>;
|
|
|
|
using ElementA = cutlass::uint4b_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<cutlass::uint4b_t, 32>;
|
|
|
|
using ElementB = cutlass::int4b_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<cutlass::int4b_t, 32>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k128.row.col.s32.u4.s4.s32.satfinite {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: S32 = U4 * U4 + S32
|
|
template <>
|
|
struct SparseMma<
|
|
gemm::GemmShape<16,8,128>,
|
|
32,
|
|
cutlass::uint4b_t,
|
|
layout::RowMajor,
|
|
cutlass::uint4b_t,
|
|
layout::ColumnMajor,
|
|
int,
|
|
layout::RowMajor,
|
|
OpMultiplyAddSaturate,
|
|
SPFormatType::Thread> {
|
|
|
|
using Shape = gemm::GemmShape<16,8,128>;
|
|
|
|
using ElementA = cutlass::uint4b_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<cutlass::uint4b_t, 32>;
|
|
|
|
using ElementB = cutlass::uint4b_t;
|
|
using LayoutB = layout::ColumnMajor;
|
|
using FragmentB = Array<cutlass::uint4b_t, 32>;
|
|
|
|
using ElementC = int;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<int, 4>;
|
|
|
|
using FragmentE = uint32_t;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm80;
|
|
|
|
static int const kSparse = 2;
|
|
|
|
static int const kMetaSizeInBits = 2;
|
|
|
|
static int const kMaxID2 = 1;
|
|
|
|
/// Computes multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c,
|
|
uint32_t const &E,
|
|
int const id2
|
|
) const {
|
|
|
|
#if defined(CUTLASS_ARCH_SPARSE_MMA_SM80_ENABLED)
|
|
|
|
uint32_t const *A = reinterpret_cast<uint32_t const *>(&a);
|
|
uint32_t const *B = reinterpret_cast<uint32_t const *>(&b);
|
|
|
|
int const *C = reinterpret_cast<int const *>(&c);
|
|
int *D = reinterpret_cast<int *>(&d);
|
|
|
|
if (id2 == 0)
|
|
asm volatile(
|
|
"mma.sp.sync.aligned.m16n8k128.row.col.s32.u4.u4.s32.satfinite {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
|
|
"{%8,%9,%10,%11}, {%12,%13,%14,%15}, %16, 0x0;\n"
|
|
: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
|
|
: "r"(A[0]), "r"(A[1]), "r"(A[2]), "r"(A[3]), "r"(B[0]), "r"(B[1]), "r"(B[2]), "r"(B[3]),
|
|
"r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3]), "r"(E));
|
|
else
|
|
assert(0);
|
|
|
|
#else
|
|
|
|
CUTLASS_UNUSED(a);
|
|
CUTLASS_UNUSED(b);
|
|
CUTLASS_UNUSED(c);
|
|
CUTLASS_UNUSED(d);
|
|
assert(0);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
} // namespace arch
|
|
} // namespace cutlass
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|