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TheRock/rocm-libraries/projects/hipblaslt/tensilelite/include/Tensile/AMDGPU.hpp
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Flatten subprojects into a single base monorepo
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417 lines
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/*******************************************************************************
*
* MIT License
*
* Copyright (C) 2022-2025 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 <Tensile/Tensile.hpp>
#include <optional>
namespace TensileLite
{
/**
* \ingroup Hardware
* Represents a particular AMD GPU in terms of processor model and number of
* compute units.
*
* See subclass in `hip` directory which can create an instance
* automatically.
*/
struct TENSILELITEHOST_EXPORT AMDGPU : public Hardware
{
static std::string Type()
{
return "AMDGPU";
}
virtual std::string type() const;
enum class Processor : int
{
// matching enum used in hipGcnArch
// only including supported types
gfx000 = 0,
//gfx701 = 1,
//gfx801 = 2,
//gfx802 = 3,
gfx803 = 803,
gfx900 = 900,
gfx906 = 906,
gfx908 = 908,
gfx90a = 910,
gfx940 = 940,
gfx941 = 941,
gfx942 = 942,
gfx950 = 950,
gfx1010 = 1010,
gfx1011 = 1011,
gfx1012 = 1012,
gfx1030 = 1030,
gfx1100 = 1100,
gfx1101 = 1101,
gfx1102 = 1102,
gfx1103 = 1103,
gfx1150 = 1150,
gfx1151 = 1151,
gfx1152 = 1152,
gfx1153 = 1153,
gfx1200 = 1200,
gfx1201 = 1201,
gfx1250 = 1250
};
static Processor toProcessor(std::string archName)
{
if(archName.find("gfx803") != std::string::npos)
{
return Processor::gfx803;
}
else if(archName.find("gfx900") != std::string::npos)
{
return Processor::gfx900;
}
else if(archName.find("gfx906") != std::string::npos)
{
return Processor::gfx906;
}
else if(archName.find("gfx908") != std::string::npos)
{
return Processor::gfx908;
}
else if(archName.find("gfx90a") != std::string::npos)
{
return Processor::gfx90a;
}
else if(archName.find("gfx940") != std::string::npos)
{
return Processor::gfx940;
}
else if(archName.find("gfx941") != std::string::npos)
{
return Processor::gfx941;
}
else if(archName.find("gfx942") != std::string::npos)
{
return Processor::gfx942;
}
else if(archName.find("gfx950") != std::string::npos)
{
return Processor::gfx950;
}
else if(archName.find("gfx1010") != std::string::npos)
{
return Processor::gfx1010;
}
else if(archName.find("gfx1011") != std::string::npos)
{
return Processor::gfx1011;
}
else if(archName.find("gfx1012") != std::string::npos)
{
return Processor::gfx1012;
}
else if(archName.find("gfx1030") != std::string::npos)
{
return Processor::gfx1030;
}
else if(archName.find("gfx1100") != std::string::npos)
{
return Processor::gfx1100;
}
else if(archName.find("gfx1101") != std::string::npos)
{
return Processor::gfx1101;
}
else if(archName.find("gfx1102") != std::string::npos)
{
return Processor::gfx1102;
}
else if(archName.find("gfx1103") != std::string::npos)
{
return Processor::gfx1103;
}
else if(archName.find("gfx1150") != std::string::npos)
{
return Processor::gfx1150;
}
else if(archName.find("gfx1151") != std::string::npos)
{
return Processor::gfx1151;
}
else if(archName.find("gfx1152") != std::string::npos)
{
return Processor::gfx1152;
}
else if(archName.find("gfx1153") != std::string::npos)
{
return Processor::gfx1153;
}
else if(archName.find("gfx1200") != std::string::npos)
{
return Processor::gfx1200;
}
else if(archName.find("gfx1201") != std::string::npos)
{
return Processor::gfx1201;
}
else if(archName.find("gfx1250") != std::string::npos)
{
return Processor::gfx1250;
}
return static_cast<Processor>(0);
}
static std::string toString(Processor p)
{
switch(p)
{
case AMDGPU::Processor::gfx803:
return "gfx803";
case AMDGPU::Processor::gfx900:
return "gfx900";
case AMDGPU::Processor::gfx906:
return "gfx906";
case AMDGPU::Processor::gfx908:
return "gfx908";
case AMDGPU::Processor::gfx90a:
return "gfx90a";
case AMDGPU::Processor::gfx940:
return "gfx940";
case AMDGPU::Processor::gfx941:
return "gfx941";
case AMDGPU::Processor::gfx942:
return "gfx942";
case AMDGPU::Processor::gfx950:
return "gfx950";
case AMDGPU::Processor::gfx1010:
return "gfx1010";
case AMDGPU::Processor::gfx1011:
return "gfx1011";
case AMDGPU::Processor::gfx1012:
return "gfx1012";
case AMDGPU::Processor::gfx1030:
return "gfx1030";
case AMDGPU::Processor::gfx1100:
return "gfx1100";
case AMDGPU::Processor::gfx1101:
return "gfx1101";
case AMDGPU::Processor::gfx1102:
return "gfx1102";
case AMDGPU::Processor::gfx1103:
return "gfx1103";
case AMDGPU::Processor::gfx1150:
return "gfx1150";
case AMDGPU::Processor::gfx1151:
return "gfx1151";
case AMDGPU::Processor::gfx1152:
return "gfx1152";
case AMDGPU::Processor::gfx1153:
return "gfx1153";
case AMDGPU::Processor::gfx1200:
return "gfx1200";
case AMDGPU::Processor::gfx1201:
return "gfx1201";
case AMDGPU::Processor::gfx1250:
return "gfx1250";
case AMDGPU::Processor::gfx000:
return "gfx000";
}
return "";
}
AMDGPU();
AMDGPU(Processor p, int computeUnitCount, std::string const& deviceName, std::optional<int> pciChipId = std::nullopt);
~AMDGPU();
Processor processor = Processor::gfx900;
int wavefrontSize = 64;
int simdPerCu = 4;
int computeUnitCount = 0;
int skDynamicGrid = 6;
int skDynamicWGM = 0;
int skMaxCUs = 0;
int skGridMultiplier = 1;
int skFixedGrid = 0;
int skFullTiles = 1;
int skTiles = -1;
int skSplit = -1;
int fixedWGM = std::numeric_limits<int>::max();
size_t fixedWGMXCC = std::numeric_limits<size_t>::max();
size_t fixedWGMXCCCHUNK = std::numeric_limits<size_t>::max();
size_t fixedStaggerUMapping = std::numeric_limits<size_t>::max();
size_t fixedStaggerU = std::numeric_limits<size_t>::max();
size_t fixedStaggerUStrideShift = std::numeric_limits<size_t>::max();
mutable int isStandardCUs = -1; // -1: unset, 0:false, 1:true
std::string deviceName;
virtual bool isStandardCU() const;
virtual bool runsKernelTargeting(Processor p) const;
virtual size_t id() const override
{
return (size_t)processor;
}
virtual std::string archName() const override
{
return toString(processor);
}
virtual std::optional<int> pciChipId() const override
{
return _pciChipId;
}
virtual std::string description() const override;
const int getSKDynamicGrid() const
{
static const char* envStr = std::getenv("TENSILE_STREAMK_DYNAMIC_GRID");
static const int value = (envStr == NULL ? 6 : std::atoi(envStr));
return value;
}
const int getSKDynamicWGM() const
{
static const char* envStr = std::getenv("TENSILE_STREAMK_DYNAMIC_WGM");
static const int value = (envStr == NULL ? 0 : std::atoi(envStr));
return value;
}
const int getSKMaxCUs() const
{
static const char* envStr = std::getenv("TENSILE_STREAMK_MAX_CUS");
static const int value = (envStr == NULL ? 0 : std::atoi(envStr));
return value;
}
const int getSKGridMultiplier() const
{
static const char* envStr = std::getenv("TENSILE_STREAMK_GRID_MULTIPLIER");
static const int value = (envStr == NULL ? 1 : std::atoi(envStr));
return value;
}
const int getSKFixedGrid() const
{
static const char* envStr = std::getenv("TENSILE_STREAMK_FIXED_GRID");
static const int value = (envStr == NULL ? 0 : std::atoi(envStr));
return value;
}
const int getSKFullTiles() const
{
static const char* envStr = std::getenv("TENSILE_STREAMK_FULL_TILES");
static const int value = (envStr == NULL ? 1 : std::atoi(envStr));
return value;
}
const int getSKTiles() const
{
static const char* envStr = std::getenv("TENSILE_STREAMK_TILES");
static const int value = (envStr == NULL ? -1 : std::atoi(envStr));
return value;
}
const int getSKSplit() const
{
static const char* envStr = std::getenv("TENSILE_STREAMK_SPLIT");
static const int value = (envStr == NULL ? -1 : std::atoi(envStr));
return value;
}
const int getFixedWGM() const
{
static const char* envStr = std::getenv("TENSILE_FIXED_WGM");
static const int value = (envStr == NULL ? std::numeric_limits<int>::max() : std::atoi(envStr));
return value;
}
const size_t getFixedWGMXCC() const
{
static const char* envStr = std::getenv("TENSILE_FIXED_WGMXCC");
static const size_t value = (envStr == NULL ? std::numeric_limits<size_t>::max() : std::stoul(envStr));
return value;
}
const size_t getFixedWGMXCCCHUNK() const
{
static const char* envStr = std::getenv("TENSILE_FIXED_WGMXCCCHUNK");
static const size_t value = (envStr == NULL ? std::numeric_limits<size_t>::max() : std::stoul(envStr));
return value;
}
const size_t getFixedStaggerUMapping() const
{
static const char* envStr = std::getenv("TENSILE_FIXED_STAGGERU_MAPPING");
static const size_t value = (envStr == NULL ? std::numeric_limits<size_t>::max() : std::stoul(envStr));
return value;
}
const size_t getFixedStaggerU() const
{
static const char* envStr = std::getenv("TENSILE_FIXED_STAGGERU");
static const size_t value = (envStr == NULL ? std::numeric_limits<size_t>::max() : std::stoul(envStr));
return value;
}
const size_t getFixedStaggerUStrideShift() const
{
static const char* envStr = std::getenv("TENSILE_FIXED_STAGGERU_STRIDE_SHIFT");
static const size_t value = (envStr == NULL ? std::numeric_limits<size_t>::max() : std::stoul(envStr));
return value;
}
bool operator==(AMDGPU const& rhs) const
{
return processor == rhs.processor && computeUnitCount == rhs.computeUnitCount && _pciChipId == rhs._pciChipId;
}
private:
std::optional<int> _pciChipId = std::nullopt;
};
inline bool operator<(AMDGPU::Processor l, AMDGPU::Processor r)
{
return static_cast<int>(l) < static_cast<int>(r);
}
inline bool operator>(AMDGPU::Processor l, AMDGPU::Processor r)
{
return static_cast<int>(l) > static_cast<int>(r);
}
inline bool operator<=(AMDGPU::Processor l, AMDGPU::Processor r)
{
return static_cast<int>(l) <= static_cast<int>(r);
}
inline bool operator>=(AMDGPU::Processor l, AMDGPU::Processor r)
{
return static_cast<int>(l) >= static_cast<int>(r);
}
TENSILELITEHOST_EXPORT std::ostream& operator<<(std::ostream& stream, AMDGPU::Processor p);
TENSILELITEHOST_EXPORT std::ostream& operator<<(std::ostream& stream, AMDGPU g);
} // namespace TensileLite