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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