66d9cddc83
* New updates. * Minor profiler updates Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
666 lines
16 KiB
C++
666 lines
16 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 Matrix multiply
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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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#if ((__CUDACC_VER_MAJOR__ > 10) || (__CUDACC_VER_MAJOR__ == 10 && __CUDACC_VER_MINOR__ >= 1))
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#define CUTLASS_ARCH_MMA_SM70_SUPPORTED
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#endif
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#if (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 700))
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#if ((__CUDACC_VER_MAJOR__ > 10) || (__CUDACC_VER_MAJOR__ == 10 &&__CUDACC_VER_MINOR__ >= 1))
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#define CUTLASS_ARCH_MMA_SM70_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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// Matrix multiply accumulate 884 - FP16 accumulation
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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 Mma<
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gemm::GemmShape<8,8,4>,
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8,
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half_t,
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layout::ColumnMajor,
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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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using Shape = gemm::GemmShape<8, 8, 4>;
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using ElementA = half_t;
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using LayoutA = layout::ColumnMajor;
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using FragmentA = Array<half_t, 4>;
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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, 4>;
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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, 8>;
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using Operator = OpMultiplyAdd;
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using ArchTag = arch::Sm70;
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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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) {
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#if defined(CUTLASS_ARCH_MMA_SM70_ENABLED)
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unsigned const *A = reinterpret_cast<unsigned const *>(&a);
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unsigned const *B = reinterpret_cast<unsigned const *>(&b);
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unsigned const *C = reinterpret_cast<unsigned const *>(&c);
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unsigned *D = reinterpret_cast<unsigned *>(&d);
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asm volatile("mma.sync.aligned.m8n8k4.col.col.f16.f16.f16.f16 {%0,%1,%2,%3}, {%4,%5}, {%6,%7}, {%8,%9,%10,%11};\n"
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: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
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: "r"(A[0]), "r"(A[1]), "r"(B[0]), "r"(B[1]), "r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3])
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);
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#else
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assert(0);
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#if defined(__CUDA_ARCH__)
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asm volatile ("brkpt;\n" ::);
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#endif
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#endif
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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 Mma<
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gemm::GemmShape<8, 8, 4>,
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8,
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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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half_t,
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layout::RowMajor,
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OpMultiplyAdd> {
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using Shape = gemm::GemmShape<8, 8, 4>;
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using ElementA = half_t;
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using LayoutA = layout::ColumnMajor;
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using FragmentA = Array<half_t, 4>;
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using ElementB = half_t;
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using LayoutB = layout::RowMajor;
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using FragmentB = Array<half_t, 4>;
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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, 8>;
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using Operator = OpMultiplyAdd;
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using ArchTag = arch::Sm70;
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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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) {
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#if defined(CUTLASS_ARCH_MMA_SM70_ENABLED)
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unsigned const *A = reinterpret_cast<unsigned const *>(&a);
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unsigned const *B = reinterpret_cast<unsigned const *>(&b);
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unsigned const *C = reinterpret_cast<unsigned const *>(&c);
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unsigned *D = reinterpret_cast<unsigned *>(&d);
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asm volatile("mma.sync.aligned.m8n8k4.col.row.f16.f16.f16.f16 {%0,%1,%2,%3}, {%4,%5}, {%6,%7}, {%8,%9,%10,%11};\n"
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: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
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: "r"(A[0]), "r"(A[1]), "r"(B[0]), "r"(B[1]), "r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3])
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);
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#else
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assert(0);
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#if defined(__CUDA_ARCH__)
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asm volatile ("brkpt;\n" ::);
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#endif
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#endif
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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 Mma<
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gemm::GemmShape<8, 8, 4>,
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8,
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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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using Shape = gemm::GemmShape<8, 8, 4>;
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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, 4>;
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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, 4>;
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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, 8>;
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using Operator = OpMultiplyAdd;
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using ArchTag = arch::Sm70;
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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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) {
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#if defined(CUTLASS_ARCH_MMA_SM70_ENABLED)
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unsigned const *A = reinterpret_cast<unsigned const *>(&a);
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unsigned const *B = reinterpret_cast<unsigned const *>(&b);
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unsigned const *C = reinterpret_cast<unsigned const *>(&c);
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unsigned *D = reinterpret_cast<unsigned *>(&d);
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asm volatile("mma.sync.aligned.m8n8k4.row.col.f16.f16.f16.f16 {%0,%1,%2,%3}, {%4,%5}, {%6,%7}, {%8,%9,%10,%11};\n"
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: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
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: "r"(A[0]), "r"(A[1]), "r"(B[0]), "r"(B[1]), "r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3])
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);
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#else
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assert(0);
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#if defined(__CUDA_ARCH__)
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asm volatile ("brkpt;\n" ::);
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#endif
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#endif
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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 Mma<
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gemm::GemmShape<8, 8, 4>,
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8,
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half_t,
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layout::RowMajor,
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half_t,
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layout::RowMajor,
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half_t,
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layout::RowMajor,
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OpMultiplyAdd> {
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using Shape = gemm::GemmShape<8, 8, 4>;
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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, 4>;
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using ElementB = half_t;
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using LayoutB = layout::RowMajor;
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using FragmentB = Array<half_t, 4>;
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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, 8>;
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using Operator = OpMultiplyAdd;
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using ArchTag = arch::Sm70;
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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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) {
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#if defined(CUTLASS_ARCH_MMA_SM70_ENABLED)
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unsigned const *A = reinterpret_cast<unsigned const *>(&a);
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unsigned const *B = reinterpret_cast<unsigned const *>(&b);
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unsigned const *C = reinterpret_cast<unsigned const *>(&c);
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unsigned *D = reinterpret_cast<unsigned *>(&d);
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asm volatile("mma.sync.aligned.m8n8k4.row.row.f16.f16.f16.f16 {%0,%1,%2,%3}, {%4,%5}, {%6,%7}, {%8,%9,%10,%11};\n"
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: "=r"(D[0]), "=r"(D[1]), "=r"(D[2]), "=r"(D[3])
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: "r"(A[0]), "r"(A[1]), "r"(B[0]), "r"(B[1]), "r"(C[0]), "r"(C[1]), "r"(C[2]), "r"(C[3])
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);
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#else
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assert(0);
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#if defined(__CUDA_ARCH__)
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asm volatile ("brkpt;\n" ::);
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#endif
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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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// Matrix multiply accumulate 884 - FP32 accumulation
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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 Mma<
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gemm::GemmShape<8, 8, 4>,
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8,
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half_t,
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layout::ColumnMajor,
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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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using Shape = gemm::GemmShape<8, 8, 4>;
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using ElementA = half_t;
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using LayoutA = layout::ColumnMajor;
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using FragmentA = Array<half_t, 4>;
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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, 4>;
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using ElementC = float;
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using LayoutC = layout::RowMajor;
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using FragmentC = Array<float, 8>;
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using Operator = OpMultiplyAdd;
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using ArchTag = arch::Sm70;
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/// 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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) {
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#if defined(CUTLASS_ARCH_MMA_SM70_ENABLED)
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unsigned const *A = reinterpret_cast<unsigned const *>(&a);
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unsigned const *B = reinterpret_cast<unsigned 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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asm volatile("mma.sync.aligned.m8n8k4.col.col.f32.f16.f16.f32 {%0,%1,%2,%3,%4,%5,%6,%7}, {%8,%9}, {%10,%11}, "
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"{%12,%13,%14,%15,%16,%17,%18,%19};\n"
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: "=f"(D[0]),
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"=f"(D[1]),
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"=f"(D[2]),
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"=f"(D[3]),
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"=f"(D[4]),
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"=f"(D[5]),
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"=f"(D[6]),
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"=f"(D[7])
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: "r"(A[0]),
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"r"(A[1]),
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"r"(B[0]),
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"r"(B[1]),
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"f"(C[0]),
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"f"(C[1]),
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"f"(C[2]),
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"f"(C[3]),
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"f"(C[4]),
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"f"(C[5]),
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"f"(C[6]),
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"f"(C[7])
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);
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#else
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assert(0);
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#if defined(__CUDA_ARCH__)
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asm volatile ("brkpt;\n" ::);
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#endif
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#endif
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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 Mma<
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gemm::GemmShape<8, 8, 4>,
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8,
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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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float,
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layout::RowMajor,
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OpMultiplyAdd> {
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using Shape = gemm::GemmShape<8, 8, 4>;
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using ElementA = half_t;
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using LayoutA = layout::ColumnMajor;
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using FragmentA = Array<half_t, 4>;
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using ElementB = half_t;
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using LayoutB = layout::RowMajor;
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using FragmentB = Array<half_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, 8>;
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using Operator = OpMultiplyAdd;
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using ArchTag = arch::Sm70;
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/// 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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) {
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#if defined(CUTLASS_ARCH_MMA_SM70_ENABLED)
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unsigned const *A = reinterpret_cast<unsigned const *>(&a);
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unsigned const *B = reinterpret_cast<unsigned 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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asm volatile("mma.sync.aligned.m8n8k4.col.row.f32.f16.f16.f32 {%0,%1,%2,%3,%4,%5,%6,%7}, {%8,%9}, {%10,%11}, "
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"{%12,%13,%14,%15,%16,%17,%18,%19};\n"
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: "=f"(D[0]),
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"=f"(D[1]),
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"=f"(D[2]),
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"=f"(D[3]),
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"=f"(D[4]),
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"=f"(D[5]),
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"=f"(D[6]),
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"=f"(D[7])
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: "r"(A[0]),
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"r"(A[1]),
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"r"(B[0]),
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"r"(B[1]),
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"f"(C[0]),
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"f"(C[1]),
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"f"(C[2]),
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"f"(C[3]),
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"f"(C[4]),
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"f"(C[5]),
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"f"(C[6]),
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"f"(C[7])
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);
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#else
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assert(0);
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#if defined(__CUDA_ARCH__)
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asm volatile ("brkpt;\n" ::);
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#endif
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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 Mma<
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|
gemm::GemmShape<8, 8, 4>,
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|
8,
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|
half_t,
|
|
layout::RowMajor,
|
|
half_t,
|
|
layout::ColumnMajor,
|
|
float,
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layout::RowMajor,
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OpMultiplyAdd> {
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using Shape = gemm::GemmShape<8, 8, 4>;
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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, 4>;
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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, 4>;
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using ElementC = float;
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using LayoutC = layout::RowMajor;
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using FragmentC = Array<float, 8>;
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using Operator = OpMultiplyAdd;
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using ArchTag = arch::Sm70;
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/// 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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) {
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|
|
#if defined(CUTLASS_ARCH_MMA_SM70_ENABLED)
|
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|
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unsigned const *A = reinterpret_cast<unsigned const *>(&a);
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unsigned const *B = reinterpret_cast<unsigned 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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asm volatile("mma.sync.aligned.m8n8k4.row.col.f32.f16.f16.f32 {%0,%1,%2,%3,%4,%5,%6,%7}, {%8,%9}, {%10,%11}, "
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"{%12,%13,%14,%15,%16,%17,%18,%19};\n"
|
|
: "=f"(D[0]),
|
|
"=f"(D[1]),
|
|
"=f"(D[2]),
|
|
"=f"(D[3]),
|
|
"=f"(D[4]),
|
|
"=f"(D[5]),
|
|
"=f"(D[6]),
|
|
"=f"(D[7])
|
|
: "r"(A[0]),
|
|
"r"(A[1]),
|
|
"r"(B[0]),
|
|
"r"(B[1]),
|
|
"f"(C[0]),
|
|
"f"(C[1]),
|
|
"f"(C[2]),
|
|
"f"(C[3]),
|
|
"f"(C[4]),
|
|
"f"(C[5]),
|
|
"f"(C[6]),
|
|
"f"(C[7])
|
|
);
|
|
|
|
#else
|
|
assert(0);
|
|
#if defined(__CUDA_ARCH__)
|
|
asm volatile ("brkpt;\n" ::);
|
|
#endif
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/// Matrix multiply-add operation: F32 = F16 * F16 + F32
|
|
template <>
|
|
struct Mma<
|
|
gemm::GemmShape<8, 8, 4>,
|
|
8,
|
|
half_t,
|
|
layout::RowMajor,
|
|
half_t,
|
|
layout::RowMajor,
|
|
float,
|
|
layout::RowMajor,
|
|
OpMultiplyAdd> {
|
|
|
|
using Shape = gemm::GemmShape<8, 8, 4>;
|
|
|
|
using ElementA = half_t;
|
|
using LayoutA = layout::RowMajor;
|
|
using FragmentA = Array<half_t, 4>;
|
|
|
|
using ElementB = half_t;
|
|
using LayoutB = layout::RowMajor;
|
|
using FragmentB = Array<half_t, 4>;
|
|
|
|
using ElementC = float;
|
|
using LayoutC = layout::RowMajor;
|
|
using FragmentC = Array<float, 8>;
|
|
|
|
using Operator = OpMultiplyAdd;
|
|
using ArchTag = arch::Sm70;
|
|
|
|
/// Multiply-add
|
|
CUTLASS_HOST_DEVICE
|
|
void operator()(
|
|
FragmentC &d,
|
|
FragmentA const &a,
|
|
FragmentB const &b,
|
|
FragmentC const &c
|
|
) {
|
|
|
|
#if defined(CUTLASS_ARCH_MMA_SM70_ENABLED)
|
|
|
|
unsigned const *A = reinterpret_cast<unsigned const *>(&a);
|
|
unsigned const *B = reinterpret_cast<unsigned const *>(&b);
|
|
float const *C = reinterpret_cast<float const *>(&c);
|
|
float *D = reinterpret_cast<float *>(&d);
|
|
|
|
asm volatile("mma.sync.aligned.m8n8k4.row.row.f32.f16.f16.f32 {%0,%1,%2,%3,%4,%5,%6,%7}, {%8,%9}, {%10,%11}, "
|
|
"{%12,%13,%14,%15,%16,%17,%18,%19};\n"
|
|
: "=f"(D[0]),
|
|
"=f"(D[1]),
|
|
"=f"(D[2]),
|
|
"=f"(D[3]),
|
|
"=f"(D[4]),
|
|
"=f"(D[5]),
|
|
"=f"(D[6]),
|
|
"=f"(D[7])
|
|
: "r"(A[0]),
|
|
"r"(A[1]),
|
|
"r"(B[0]),
|
|
"r"(B[1]),
|
|
"f"(C[0]),
|
|
"f"(C[1]),
|
|
"f"(C[2]),
|
|
"f"(C[3]),
|
|
"f"(C[4]),
|
|
"f"(C[5]),
|
|
"f"(C[6]),
|
|
"f"(C[7])
|
|
);
|
|
|
|
#else
|
|
assert(0);
|
|
#if defined(__CUDA_ARCH__)
|
|
asm volatile ("brkpt;\n" ::);
|
|
#endif
|
|
#endif
|
|
}
|
|
};
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
/// Matrix multiply-add operation specialized for the entire warp
|
|
template <
|
|
typename LayoutA,
|
|
typename LayoutB,
|
|
typename ElementC,
|
|
typename LayoutC,
|
|
typename Operator
|
|
>
|
|
struct Mma<
|
|
gemm::GemmShape<16, 16, 4>,
|
|
32,
|
|
half_t,
|
|
LayoutA,
|
|
half_t,
|
|
LayoutB,
|
|
ElementC,
|
|
LayoutC,
|
|
Operator
|
|
> :
|
|
public Mma<
|
|
gemm::GemmShape<8, 8, 4>,
|
|
8,
|
|
half_t,
|
|
LayoutA,
|
|
half_t,
|
|
LayoutB,
|
|
ElementC,
|
|
LayoutC,
|
|
Operator> {
|
|
|
|
using Shape = gemm::GemmShape<16, 16, 4>;
|
|
};
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
} // namespace arch
|
|
} // namespace cutlass
|