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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 Defines multiply-add operations on fragments within a thread.
+*/
+#pragma once
+
+#include <cutlass/fragment.h>
+
+namespace cutlass {
+namespace gemm {
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+
+template <typename Scalar_>
+struct FragmentMultiplyAdd {
+ /// The shape of the instruction.
+ typedef Shape<1, 1, 1, 1> InstructionShape;
+ /// The type for A.
+ typedef Scalar_ ScalarA;
+ /// The type for B.
+ typedef Scalar_ ScalarB;
+ /// The type for C and D.
+ typedef Scalar_ ScalarC;
+
+ /// Ctor.
+ CUTLASS_DEVICE FragmentMultiplyAdd() {}
+
+ /// Multiply : d = a*b.
+ template <typename FragmentB_, typename FragmentCd_>
+ CUTLASS_DEVICE void multiply(Scalar_ a, FragmentB_ const& b, FragmentCd_& d) {
+ int const kReduction = FragmentB_::kElements / FragmentCd_::kElements;
+ for (int j = 0; j < FragmentCd_::kElements; ++j) {
+ d[j] = a * b[j * kReduction + 0];
+ for (int k = 1; k < kReduction; ++k) {
+ d[j] += a * b[j * kReduction + k];
+ }
+ }
+ }
+
+ /// Multiply : d = a*b + c.
+ template <typename FragmentB_, typename FragmentCd_>
+ CUTLASS_DEVICE void multiply_add(Scalar_ a,
+ FragmentB_ const& b,
+ FragmentCd_ const& c,
+ FragmentCd_& d) {
+ int const kReduction = FragmentB_::kElements / FragmentCd_::kElements;
+ for (int j = 0; j < FragmentCd_::kElements; ++j) {
+ d[j] = a * b[j * kReduction + 0] + c[j];
+ for (int k = 1; k < kReduction; ++k) {
+ d[j] += a * b[j * kReduction + k];
+ }
+ }
+ }
+};
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+
+#if !defined(__CUDACC_RTC__) || defined(CUTLASS_NVRTC_HAS_FP16)
+template <>
+struct FragmentMultiplyAdd<half> {
+ /// The shape of the instruction.
+ typedef Shape<1, 1, 2, 1> InstructionShape;
+ /// The type for A.
+ typedef half ScalarA;
+ /// The type for B.
+ typedef half ScalarB;
+ /// The type for C and D.
+ typedef half ScalarC;
+
+ /// Ctor.
+ CUTLASS_DEVICE FragmentMultiplyAdd() {}
+
+ /// Multiply : d = a*b.
+ template <typename FragmentB_, typename FragmentCd_>
+ CUTLASS_DEVICE void multiply(half a, FragmentB_ const& b, FragmentCd_& d) {
+#if defined(__CUDACC__) && __CUDA_ARCH__ >= 530
+
+ // Assemble a half2 from a.
+ __half2 const a_half2 = __half2half2(a);
+ // The input.
+ __half2 const* b_half2 = reinterpret_cast<__half2 const*>(&b[0]);
+ // The output.
+ __half2* d_half2 = reinterpret_cast<__half2*>(&d[0]);
+
+ int const kReduction = FragmentB_::kElements / FragmentCd_::kElements;
+ for (int j = 0; j < FragmentCd_::kElements / 2; ++j) {
+ d_half2[j] = __hmul2(a_half2, b_half2[j * kReduction + 0]);
+ for (int k = 1; k < kReduction; ++k) {
+ d_half2[j] = __hfma2(a_half2, b_half2[j * kReduction + k], d_half2[j]);
+ }
+ }
+#endif
+ }
+
+ /// Multiply : d = a*b + c.
+ template <typename FragmentB_, typename FragmentCd_>
+ CUTLASS_DEVICE void multiply_add(half a,
+ FragmentB_ const& b,
+ FragmentCd_ const& c,
+ FragmentCd_& d) {
+#if defined(__CUDACC__) && __CUDA_ARCH__ >= 530
+ // Assemble a half2 from a.
+ __half2 const a_half2 = __half2half2(a);
+ // The inputs.
+ __half2 const* b_half2 = reinterpret_cast<__half2 const*>(&b[0]);
+ __half2 const* c_half2 = reinterpret_cast<__half2 const*>(&c[0]);
+ // The output.
+ __half2* d_half2 = reinterpret_cast<__half2*>(&d[0]);
+
+ int const kReduction = (FragmentB_::kElements / FragmentCd_::kElements);
+ for (int j = 0; j < FragmentCd_::kElements / 2; ++j) {
+ d_half2[j] = __hfma2(a_half2, b_half2[j * kReduction + 0], c_half2[j]);
+ for (int k = 1; k < kReduction; ++k) {
+ d_half2[j] = __hfma2(a_half2, b_half2[j * kReduction + k], d_half2[j]);
+ }
+ }
+#endif
+ }
+};
+
+#endif
+
+////////////////////////////////////////////////////////////////////////////////////////////////////
+
+} // namespace gemm
+} // namespace cutlass