* CUTLASS 3.7 * clean up changelog --------- Co-authored-by: yuzhai <yuzhai@nvidia.com> Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
406 lines
12 KiB
C++
406 lines
12 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2024 - 2025 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 SM89
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*/
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#pragma once
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#include <cuda/std/cassert>
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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__ > 12) || (__CUDACC_VER_MAJOR__ == 12 && __CUDACC_VER_MINOR__ >= 4)
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# define CUTLASS_ARCH_SPARSE_MMA_SM89_SUPPORTED 1
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#endif
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#if defined(CUTLASS_ARCH_SPARSE_MMA_SM89_SUPPORTED) && defined(__CUDA_ARCH__) && (__CUDA_ARCH__ == 890)
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# define CUTLASS_ARCH_SPARSE_MMA_SM89_ENABLED
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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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/// Matrix multiply-add operation: F32 = fe4m3 * fe4m3 + F32
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template <typename Operator_>
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struct SparseMma<
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gemm::GemmShape<16,8,64>,
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32,
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cutlass::float_e4m3_t,
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layout::RowMajor,
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cutlass::float_e4m3_t,
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layout::ColumnMajor,
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float,
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layout::RowMajor,
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Operator_,
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SPFormatType::Thread> {
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static_assert(platform::is_same<Operator_, OpMultiplyAdd>::value ||
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platform::is_same<Operator_, OpMultiplyAddFastAccum>::value,
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"Invalid operator for SM89 FP8 instruction");
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using Shape = gemm::GemmShape<16,8,64>;
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using ElementA = cutlass::float_e4m3_t;
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using LayoutA = layout::RowMajor;
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using FragmentA = Array<ElementA, 16>;
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using ElementB = cutlass::float_e4m3_t;
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using LayoutB = layout::ColumnMajor;
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using FragmentB = Array<ElementB, 16>;
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using ElementC = float;
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using LayoutC = layout::RowMajor;
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using FragmentC = Array<ElementC, 4>;
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using FragmentE = uint32_t;
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using Operator = Operator_;
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using ArchTag = arch::Sm89;
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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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/// Computes multiply-add
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CUTLASS_HOST_DEVICE
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void operator()(
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FragmentC &d,
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FragmentA const &a,
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FragmentB const &b,
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FragmentC const &c,
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uint32_t const &E,
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int const id2
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) const {
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#if defined(CUTLASS_ARCH_SPARSE_MMA_SM89_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.m16n8k64.row.col.f32.e4m3.e4m3.f32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
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"{%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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}
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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 = fe4m3 * fe5m2 + F32
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template <typename Operator_>
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struct SparseMma<
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gemm::GemmShape<16,8,64>,
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32,
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cutlass::float_e4m3_t,
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layout::RowMajor,
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cutlass::float_e5m2_t,
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layout::ColumnMajor,
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float,
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layout::RowMajor,
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Operator_,
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SPFormatType::Thread> {
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static_assert(platform::is_same<Operator_, OpMultiplyAdd>::value ||
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platform::is_same<Operator_, OpMultiplyAddFastAccum>::value,
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"Invalid operator for SM89 FP8 instruction");
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using Shape = gemm::GemmShape<16,8,64>;
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using ElementA = cutlass::float_e4m3_t;
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using LayoutA = layout::RowMajor;
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using FragmentA = Array<ElementA, 16>;
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using ElementB = cutlass::float_e5m2_t;
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using LayoutB = layout::ColumnMajor;
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using FragmentB = Array<ElementB, 16>;
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using ElementC = float;
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using LayoutC = layout::RowMajor;
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using FragmentC = Array<ElementC, 4>;
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using FragmentE = uint32_t;
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using Operator = Operator_;
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using ArchTag = arch::Sm89;
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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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/// Computes multiply-add
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CUTLASS_HOST_DEVICE
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void operator()(
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FragmentC &d,
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FragmentA const &a,
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FragmentB const &b,
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FragmentC const &c,
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uint32_t const &E,
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int const id2
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) const {
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#if defined(CUTLASS_ARCH_SPARSE_MMA_SM89_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.m16n8k64.row.col.f32.e4m3.e5m2.f32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
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"{%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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}
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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 = fe5m2 * fe4m3 + F32
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template <typename Operator_>
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struct SparseMma<
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gemm::GemmShape<16,8,64>,
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32,
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cutlass::float_e5m2_t,
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layout::RowMajor,
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cutlass::float_e4m3_t,
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layout::ColumnMajor,
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float,
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layout::RowMajor,
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Operator_,
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SPFormatType::Thread> {
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static_assert(platform::is_same<Operator_, OpMultiplyAdd>::value ||
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platform::is_same<Operator_, OpMultiplyAddFastAccum>::value,
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"Invalid operator for SM89 FP8 instruction");
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using Shape = gemm::GemmShape<16,8,64>;
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using ElementA = cutlass::float_e5m2_t;
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using LayoutA = layout::RowMajor;
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using FragmentA = Array<ElementA, 16>;
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using ElementB = cutlass::float_e4m3_t;
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using LayoutB = layout::ColumnMajor;
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using FragmentB = Array<ElementB, 16>;
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using ElementC = float;
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using LayoutC = layout::RowMajor;
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using FragmentC = Array<ElementC, 4>;
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using FragmentE = uint32_t;
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using Operator = Operator_;
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using ArchTag = arch::Sm89;
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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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/// Computes multiply-add
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CUTLASS_HOST_DEVICE
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void operator()(
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FragmentC &d,
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FragmentA const &a,
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FragmentB const &b,
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FragmentC const &c,
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uint32_t const &E,
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int const id2
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) const {
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#if defined(CUTLASS_ARCH_SPARSE_MMA_SM89_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.m16n8k64.row.col.f32.e5m2.e4m3.f32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
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"{%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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}
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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 = fe5m2 * fe5m2 + F32
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template <typename Operator_>
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struct SparseMma<
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gemm::GemmShape<16,8,64>,
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32,
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cutlass::float_e5m2_t,
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layout::RowMajor,
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cutlass::float_e5m2_t,
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layout::ColumnMajor,
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float,
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layout::RowMajor,
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Operator_,
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SPFormatType::Thread> {
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static_assert(platform::is_same<Operator_, OpMultiplyAdd>::value ||
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platform::is_same<Operator_, OpMultiplyAddFastAccum>::value,
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"Invalid operator for SM89 FP8 instruction");
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using Shape = gemm::GemmShape<16,8,64>;
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using ElementA = cutlass::float_e5m2_t;
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using LayoutA = layout::RowMajor;
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using FragmentA = Array<ElementA, 16>;
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using ElementB = cutlass::float_e5m2_t;
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using LayoutB = layout::ColumnMajor;
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using FragmentB = Array<ElementB, 16>;
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using ElementC = float;
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using LayoutC = layout::RowMajor;
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using FragmentC = Array<ElementC, 4>;
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using FragmentE = uint32_t;
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using Operator = Operator_;
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using ArchTag = arch::Sm89;
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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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/// Computes multiply-add
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CUTLASS_HOST_DEVICE
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void operator()(
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FragmentC &d,
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FragmentA const &a,
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FragmentB const &b,
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FragmentC const &c,
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uint32_t const &E,
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int const id2
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) const {
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#if defined(CUTLASS_ARCH_SPARSE_MMA_SM89_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.m16n8k64.row.col.f32.e5m2.e5m2.f32 {%0,%1,%2,%3}, {%4,%5,%6,%7}, "
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"{%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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}
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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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} // namespace arch
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} // namespace cutlass
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/////////////////////////////////////////////////////////////////////////////////////////////////
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