416 lines
10 KiB
C++
416 lines
10 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
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* provided that the following conditions are met:
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* * Redistributions of source code must retain the above copyright notice, this list of
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* conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright notice, this list of
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* conditions and the following disclaimer in the documentation and/or other materials
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* provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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* to endorse or promote products derived from this software without specific prior written
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* permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, 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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#include "cutlass/arch/mma.h"
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#include "cutlass/complex.h"
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#include "cutlass/quaternion.h"
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#include "cutlass/functional.h"
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#include "cutlass/layout/matrix.h"
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#include "cutlass/gemm/gemm.h"
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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
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template <
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/// Layout of A matrix
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typename LayoutA,
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/// Layout of B matrix
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typename LayoutB,
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/// Layout of C matrix
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typename LayoutC
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>
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struct Mma<gemm::GemmShape<1, 1, 1>, 1, float, LayoutA, float, LayoutB, float, LayoutC, OpMultiplyAdd> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = OpMultiplyAdd;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<float, 1> &d,
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Array<float, 1> const &a,
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Array<float, 1> const &b,
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Array<float, 1> const &c
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) {
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d[0] = a[0] * b[0] + c[0];
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation
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template <
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/// Layout of A matrix
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typename LayoutA,
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/// Layout of B matrix
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typename LayoutB,
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/// Layout of C matrix
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typename LayoutC
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>
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struct Mma<gemm::GemmShape<1, 1, 1>, 1, double, LayoutA, double, LayoutB, double, LayoutC, OpMultiplyAdd> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = OpMultiplyAdd;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<double, 1> &d,
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Array<double, 1> const &a,
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Array<double, 1> const &b,
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Array<double, 1> const &c
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) {
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d[0] = a[0] * b[0] + c[0];
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation
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template <
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/// Layout of A matrix
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typename LayoutA,
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/// Layout of B matrix
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typename LayoutB,
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/// Layout of C matrix
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typename LayoutC
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>
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struct Mma<gemm::GemmShape<1, 1, 1>, 1, int, LayoutA, int, LayoutB, int, LayoutC, OpMultiplyAdd> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = OpMultiplyAdd;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<int, 1> &d,
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Array<int, 1> const &a,
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Array<int, 1> const &b,
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Array<int, 1> const &c
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) {
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d[0] = a[0] * b[0] + c[0];
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation
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template <
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/// Layout of A matrix
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typename LayoutA,
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/// Layout of B matrix
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typename LayoutB,
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/// Layout of C matrix
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typename LayoutC
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>
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struct Mma<
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gemm::GemmShape<1, 1, 1>,
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1,
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complex<float>,
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LayoutA,
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complex<float>,
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LayoutB,
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complex<float>,
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LayoutC,
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OpMultiplyAdd> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = OpMultiplyAddComplex;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<complex<float>, 1> &d,
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Array<complex<float>, 1> const &a,
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Array<complex<float>, 1> const &b,
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Array<complex<float>, 1> const &c
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) {
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d[0].real() = a[0].real() * b[0].real() + c[0].real();
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d[0].imag() = a[0].imag() * b[0].real() + c[0].imag();
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d[0].real() = -a[0].imag() * b[0].imag() + d[0].real();
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d[0].imag() = a[0].real() * b[0].imag() + d[0].imag();
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation
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template <
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/// Layout of A matrix
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typename LayoutA,
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/// Layout of B matrix
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typename LayoutB,
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/// Layout of C matrix
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typename LayoutC
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>
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struct Mma<
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gemm::GemmShape<1, 1, 1>,
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1,
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complex<float>,
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LayoutA,
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float,
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LayoutB,
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complex<float>,
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LayoutC,
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OpMultiplyAdd> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = OpMultiplyAddComplex;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<complex<float>, 1> &d,
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Array<complex<float>, 1> const &a,
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Array<float, 1> const &b,
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Array<complex<float>, 1> const &c
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) {
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d[0].real() = a[0].real() * b[0] + c[0].real();
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d[0].imag() = a[0].imag() * b[0] + c[0].imag();
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation
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template <
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/// Layout of A matrix
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typename LayoutA,
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/// Layout of B matrix
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typename LayoutB,
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/// Layout of C matrix
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typename LayoutC
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>
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struct Mma<
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gemm::GemmShape<1, 1, 1>,
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1,
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float,
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LayoutA,
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complex<float>,
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LayoutB,
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complex<float>,
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LayoutC,
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OpMultiplyAdd> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = OpMultiplyAddComplex;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<complex<float>, 1> &d,
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Array<float, 1> const &a,
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Array<complex<float>, 1> const &b,
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Array<complex<float>, 1> const &c
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) {
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d[0].real() = a[0] * b[0].real() + c[0].real();
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d[0].imag() = a[0] * b[0].imag() + d[0].imag();
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation
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template <
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/// Layout of A matrix
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typename LayoutA,
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/// Layout of B matrix
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typename LayoutB,
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/// Layout of C matrix
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typename LayoutC
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>
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struct Mma<
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gemm::GemmShape<1, 1, 1>,
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1,
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complex<double>,
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LayoutA,
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complex<double>,
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LayoutB,
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complex<double>,
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LayoutC,
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OpMultiplyAdd> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = OpMultiplyAddComplex;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<complex<double>, 1> &d,
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Array<complex<double>, 1> const &a,
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Array<complex<double>, 1> const &b,
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Array<complex<double>, 1> const &c
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) {
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d[0].real() = a[0].real() * b[0].real() + c[0].real();
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d[0].imag() = a[0].imag() * b[0].real() + c[0].imag();
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d[0].real() = -a[0].imag() * b[0].imag() + d[0].real();
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d[0].imag() = a[0].real() * b[0].imag() + d[0].imag();
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}
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};
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/// Matrix multiply-add operation
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template <
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/// Layout of A matrix
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typename LayoutA,
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/// Layout of B matrix
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typename LayoutB,
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/// Layout of C matrix
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typename LayoutC
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>
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struct Mma<
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gemm::GemmShape<1, 1, 1>,
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1,
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complex<double>,
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LayoutA,
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double,
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LayoutB,
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complex<double>,
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LayoutC,
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OpMultiplyAdd> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = OpMultiplyAddComplex;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<complex<double>, 1> &d,
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Array<complex<double>, 1> const &a,
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Array<double, 1> const &b,
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Array<complex<double>, 1> const &c
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) {
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d[0].real() = a[0].real() * b[0] + c[0].real();
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d[0].imag() = a[0].imag() * b[0] + c[0].imag();
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}
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};
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/// Matrix multiply-add operation
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template <
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/// Layout of A matrix
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typename LayoutA,
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/// Layout of B matrix
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typename LayoutB,
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/// Layout of C matrix
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typename LayoutC
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>
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struct Mma<
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gemm::GemmShape<1, 1, 1>,
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1,
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double,
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LayoutA,
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complex<double>,
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LayoutB,
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complex<double>,
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LayoutC,
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OpMultiplyAdd> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = OpMultiplyAddComplex;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<complex<double>, 1> &d,
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Array<double, 1> const &a,
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Array<complex<double>, 1> const &b,
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Array<complex<double>, 1> const &c
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) {
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d[0].real() = a[0] * b[0].real() + c[0].real();
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d[0].imag() = a[0] * b[0].imag() + d[0].imag();
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation
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template <
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/// Layout of A matrix
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typename LayoutA,
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/// Layout of B matrix
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typename LayoutB,
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/// Layout of C matrix
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typename LayoutC
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>
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struct Mma<gemm::GemmShape<1, 1, 1>, 1, half_t, LayoutA, half_t, LayoutB, float, LayoutC, OpMultiplyAdd> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = OpMultiplyAdd;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<float, 1> &d,
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Array<half_t, 1> const &a,
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Array<half_t, 1> const &b,
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Array<float, 1> const &c
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) {
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d[0] = float(a[0]) * float(b[0]) + c[0];
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Matrix multiply-add operation for Quaternions
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template <
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/// Layout of A matrix
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typename LayoutA,
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/// Layout of B matrix
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typename LayoutB,
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/// Layout of C matrix
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typename LayoutC
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>
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struct Mma<gemm::GemmShape<1, 1, 1>, 1, Quaternion<float>, LayoutA, Quaternion<float>, LayoutB, Quaternion<float>, LayoutC, OpMultiplyAdd> {
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using Shape = gemm::GemmShape<1, 1, 1>;
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using Operator = OpMultiplyAdd;
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using Element = Quaternion<float>;
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CUTLASS_HOST_DEVICE
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void operator()(
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Array<Element, 1> &d,
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Array<Element, 1> const &a,
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Array<Element, 1> const &b,
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Array<Element, 1> const &c
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) {
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multiply_add<Element, Element, Element> op;
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d[0] = op(a[0], b[0], c[0]);
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}
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};
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}
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}
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/////////////////////////////////////////////////////////////////////////////////////////////////
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