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f5ac3ee359
* chore(copyright): update copyright header for tile_engine directory * chore(copyright): update copyright header for script directory * chore(copyright): update copyright header for test_data directory * chore(copyright): update copyright header for python directory * chore(copyright): update copyright header for profiler directory * chore(copyright): update copyright header for library directory * chore(copyright): update copyright header for include directory
48 lines
1.4 KiB
C++
48 lines
1.4 KiB
C++
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#pragma once
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#include "host_tensor.hpp"
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template <typename AType,
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typename BType,
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typename CType,
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typename AElementwiseOperation,
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typename BElementwiseOperation,
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typename CElementwiseOperation>
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void host_gemm_mk_kn_mn(const Tensor<AType>& a_m_k,
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const Tensor<BType>& b_k_n,
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Tensor<CType>& c_m_n,
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const AElementwiseOperation& a_element_op,
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const BElementwiseOperation& b_element_op,
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const CElementwiseOperation& c_element_op)
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{
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auto f_mk_kn_mn = [&](auto m, auto n) {
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const int K = a_m_k.mDesc.GetLengths()[1];
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float v_acc = 0;
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for(int k = 0; k < K; ++k)
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{
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float v_a;
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float v_b;
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a_element_op(v_a, static_cast<const float>(a_m_k(m, k)));
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b_element_op(v_b, static_cast<const float>(b_k_n(k, n)));
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v_acc += v_a * v_b;
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}
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float v_c;
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c_element_op(v_c, v_acc);
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c_m_n(m, n) = v_c;
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};
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make_ParallelTensorFunctor(f_mk_kn_mn,
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c_m_n.mDesc.GetLengths()[0],
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c_m_n.mDesc.GetLengths()[1])(std::thread::hardware_concurrency());
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}
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