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/*! \file */
/* ************************************************************************
* Copyright (C) 2020-2024 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
* copies 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
* IMPLIED, 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 CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*
* ************************************************************************ */
#pragma once
#include "auto_testing_bad_arg.hpp"
#include "display.hpp"
#include "flops.hpp"
#include "gbyte.hpp"
#include "rocsparse_check.hpp"
#include "rocsparse_graph.hpp"
#include "rocsparse_matrix_factory.hpp"
#include "rocsparse_reproducibility.hpp"
#include "rocsparse_reproducibility_test_save.hpp"
#include "rocsparse_vector_utils.hpp"
#include "utility.hpp"
#include <rocsparse.hpp>
template <typename T>
inline T* rocsparse_fake_pointer()
{
return static_cast<T*>((void*)0x4);
}
template <typename T>
inline T rocsparse_nan()
{
return std::numeric_limits<T>::quiet_NaN();
}
template <>
inline rocsparse_float_complex rocsparse_nan<rocsparse_float_complex>()
{
return rocsparse_float_complex(std::numeric_limits<float>::quiet_NaN(),
std::numeric_limits<float>::quiet_NaN());
}
template <>
inline rocsparse_double_complex rocsparse_nan<rocsparse_double_complex>()
{
return rocsparse_double_complex(std::numeric_limits<double>::quiet_NaN(),
std::numeric_limits<double>::quiet_NaN());
}
template <typename T>
inline T rocsparse_inf()
{
return std::numeric_limits<T>::infinity();
}
template <>
inline rocsparse_float_complex rocsparse_inf<rocsparse_float_complex>()
{
return rocsparse_float_complex(std::numeric_limits<float>::infinity(),
std::numeric_limits<float>::infinity());
}
template <>
inline rocsparse_double_complex rocsparse_inf<rocsparse_double_complex>()
{
return rocsparse_double_complex(std::numeric_limits<double>::infinity(),
std::numeric_limits<double>::infinity());
}
template <typename T>
floating_data_t<T> get_near_check_tol(const Arguments& arg)
{
return static_cast<floating_data_t<T>>(arg.tolm) * default_tolerance<T>::value;
}
//
// Compute gflops
//
inline double get_gpu_gflops(double gpu_time_used, double gflop_count)
{
return gflop_count / gpu_time_used * 1e6;
}
template <typename F, typename... Ts>
inline double get_gpu_gflops(double gpu_time_used, F count, Ts... ts)
{
return get_gpu_gflops(gpu_time_used, count(ts...));
}
//
// Compute gbyte
//
inline double get_gpu_gbyte(double gpu_time_used, double gbyte_count)
{
return gbyte_count / gpu_time_used * 1e6;
}
template <typename F, typename... Ts>
inline double get_gpu_gbyte(double gpu_time_used, F count, Ts... ts)
{
return get_gpu_gbyte(gpu_time_used, count(ts...));
}
inline double get_gpu_time_msec(double gpu_time_used)
{
return gpu_time_used / 1e3;
}
// Check hmm availability
inline bool is_hmm_enabled()
{
int deviceID, hmm_enabled;
hipGetDevice(&deviceID);
hipDeviceGetAttribute(&hmm_enabled, hipDeviceAttributeManagedMemory, deviceID);
return hmm_enabled;
}
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