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