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156 lines
3.9 KiB
C++
156 lines
3.9 KiB
C++
/* ************************************************************************
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* Copyright (C) 2018-2022 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell cop-
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* ies of the Software, and to permit persons to whom the Software is furnished
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* to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IM-
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* PLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
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* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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* COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
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* IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNE-
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* CTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*
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* ************************************************************************ */
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#pragma once
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#include "d_vector.hpp"
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//
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// Forward declaration of the host matrix.
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//
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template <typename T>
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class host_matrix;
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//!
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//! @brief pseudo-matrix subclass which uses device memory
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//!
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template <typename T>
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class device_matrix : public d_vector<T>
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{
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public:
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//!
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//! @brief Disallow copying.
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//!
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device_matrix(const device_matrix&) = delete;
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//!
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//! @brief Disallow assigning
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//!
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device_matrix& operator=(const device_matrix&) = delete;
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//!
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//! @brief Constructor.
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//! @param m The number of rows of the Matrix.
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//! @param n The number of cols of the Matrix.
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//! @param lda The leading dimension of the Matrix.
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//! @param HMM HipManagedMemory Flag.
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//!
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explicit device_matrix(size_t m, size_t n, size_t lda, bool HMM = false)
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: d_vector<T>{n * lda, HMM}
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, m_m{m}
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, m_n{n}
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, m_lda{lda}
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, m_data{this->device_vector_setup()}
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{
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}
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//!
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//! @brief Destructor.
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//!
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~device_matrix()
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{
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this->device_vector_teardown(m_data);
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m_data = nullptr;
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}
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//!
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//! @brief Returns the rows of the Matrix.
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//!
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size_t m() const
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{
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return this->m_m;
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}
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//!
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//! @brief Returns the cols of the Matrix.
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//!
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size_t n() const
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{
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return this->m_n;
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}
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//!
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//! @brief Returns the leading dimension of the Matrix.
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//!
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size_t lda() const
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{
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return this->m_lda;
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}
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//!
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//! @brief Returns the batch count (always 1).
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//!
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rocblas_int batch_count() const
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{
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return 1;
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}
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//!
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//! @brief Returns the stride (out of context, always 0)
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//!
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rocblas_stride stride() const
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{
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return 0;
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}
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//!
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//! @brief Decay into pointer wherever pointer is expected.
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//!
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operator T*()
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{
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return m_data;
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}
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//!
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//! @brief Decay into constant pointer wherever pointer is expected.
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//!
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operator const T*() const
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{
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return m_data;
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}
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//!
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//! @brief Transfer data from a host matrix.
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//! @param that The host matrix.
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//! @return the hip error.
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//!
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hipError_t transfer_from(const host_matrix<T>& that)
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{
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return hipMemcpy(m_data,
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(const T*)that,
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this->nmemb() * sizeof(T),
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this->use_HMM ? hipMemcpyHostToHost : hipMemcpyHostToDevice);
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}
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hipError_t memcheck() const
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{
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return !this->nmemb() || m_data ? hipSuccess : hipErrorOutOfMemory;
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}
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private:
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size_t m_m = 0;
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size_t m_n = 0;
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size_t m_lda = 0;
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T* m_data{};
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};
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