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/*******************************************************************************
*
* MIT License
*
* Copyright (C) 2019-2022 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
* 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.
*
*******************************************************************************/
#include <Tensile/AMDGPU.hpp>
namespace Tensile
{
TENSILE_API std::string AMDGPU::type() const
{
return Type();
}
TENSILE_API AMDGPU::AMDGPU() {}
TENSILE_API AMDGPU::AMDGPU(AMDGPU::Processor p, int cus, std::string const& name)
: processor(p)
, computeUnitCount(cus)
, deviceName(name)
{
}
TENSILE_API AMDGPU::~AMDGPU() = default;
TENSILE_API bool AMDGPU::runsKernelTargeting(AMDGPU::Processor other) const
{
if(other > this->processor)
return false;
if(other == this->processor)
return true;
if(other == Processor::gfx803)
return false;
if(other == Processor::gfx900)
return true;
return false;
}
std::ostream& operator<<(std::ostream& stream, AMDGPU::Processor p)
{
stream << AMDGPU::toString(p);
return stream;
}
TENSILE_API std::string AMDGPU::description() const
{
std::ostringstream rv;
rv << deviceName << "(" << computeUnitCount << "-CU " << processor << ")";
return rv.str();
}
TENSILE_API std::ostream& operator<<(std::ostream& stream, AMDGPU g)
{
return stream << g.description();
}
} // namespace Tensile
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