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-/***************************************************************************************************
- * Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
- *
- * Redistribution and use in source and binary forms, with or without modification, are permitted
- * provided that the following conditions are met:
- * * Redistributions of source code must retain the above copyright notice, this list of
- * conditions and the following disclaimer.
- * * Redistributions in binary form must reproduce the above copyright notice, this list of
- * conditions and the following disclaimer in the documentation and/or other materials
- * provided with the distribution.
- * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
- * to endorse or promote products derived from this software without specific prior written
- * permission.
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
- * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
- * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
- * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
- * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
- * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
- * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
- * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- *
- **************************************************************************************************/
-/*! \file
- \brief Implements matrix multiply accumulate operation of 8-bit integer data using DP4A
- instruction.
-*/
-#pragma once
-
-#include <cutlass/fragment.h>
-
-#include <cutlass/gemm/thread_multiply_add.h>
-
-namespace cutlass {
-namespace gemm {
-
-////////////////////////////////////////////////////////////////////////////////////////////////////
-
-/// Template performing matrix multiply-add operation within a thread
-template <typename AccumulatorsPerThread_, typename ThreadsPerWarp_>
-struct ThreadMultiplyAdd<AccumulatorsPerThread_, ThreadsPerWarp_, int8_t, int8_t, int> {
- /// The shape of the instruction.
- typedef Shape<4, 1, 1> InstructionShape;
- /// The number of accumulators per thread.
- typedef AccumulatorsPerThread_ AccumulatorsPerThread;
- /// The number of threads per warp.
- typedef ThreadsPerWarp_ ThreadsPerWarp;
- /// The number of accumulators per warp.
- typedef typename ShapeMul<AccumulatorsPerThread, ThreadsPerWarp>::Shape AccumulatorsPerWarp;
- /// The type for A.
- typedef int8_t ScalarA;
- /// The fragment for A.
- typedef Fragment<ScalarA, AccumulatorsPerThread::kW * 4> FragmentA;
- /// The type for B.
- typedef int8_t ScalarB;
- /// The fragment for B.
- typedef Fragment<ScalarB, AccumulatorsPerThread::kH * 4> FragmentB;
- /// The type for C and D.
- typedef int ScalarC;
- /// The accumulators.
- typedef Fragment<ScalarC, AccumulatorsPerThread::kH * AccumulatorsPerThread::kW> Accumulators;
-
- /// Ctor.
- CUTLASS_DEVICE ThreadMultiplyAdd() {}
-
- /// Multiply : d = a*b + c.
- CUTLASS_DEVICE void multiply_add(FragmentA const& a,
- FragmentB const& b,
- Accumulators const& c,
- Accumulators& d) {
- // The inputs.
- int const* a_int = reinterpret_cast<int const*>(&a[0]);
- int const* b_int = reinterpret_cast<int const*>(&b[0]);
-
- for (int j = 0; j < AccumulatorsPerThread::kH; ++j) {
- for (int i = 0; i < AccumulatorsPerThread::kW; ++i) {
- asm volatile("dp4a.s32.s32 %0, %1, %2, %3;"
- : "=r"(d[j * AccumulatorsPerThread::kW + i])
- : "r"(a_int[i]), "r"(b_int[j]), "r"(c[j * AccumulatorsPerThread::kW + i]));
- }
- }
- }
-};
-
-////////////////////////////////////////////////////////////////////////////////////////////////////
-
-} // namespace gemm
-} // namespace cutlass