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TheRock/rocm-libraries/projects/hipblaslt/tensilelite/include/Tensile/TensorOps.hpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

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3.7 KiB
C++

/*******************************************************************************
*
* MIT License
*
* Copyright (C) 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.
*
*******************************************************************************/
#pragma once
#include <Tensile/Tensile.hpp>
#include <Tensile/TensorDescriptor_fwd.hpp>
#include <Tensile/TensorOps_fwd.hpp>
#include <tensilelitehost/export.h>
namespace TensileLite
{
/**
* \addtogroup Problem
* @{
*/
using TensorOps = std::vector<TensorOp>;
/**
* Represents a tensor operation that can be performed inline to a kernel.
* For now can represent a complex conjugate but this could be where we
* represent inline activation layers later.
*/
class TENSILELITEHOST_EXPORT TensorOp
{
public:
enum class Type : int
{
None,
ComplexConjugate,
Count
};
Type type = Type::None;
TensorOp();
TensorOp(Type type);
static TensorOp ComplexConjugate()
{
return TensorOp(Type::ComplexConjugate);
}
std::string name() const;
std::string suffix() const;
// static TensorOp ReLU();
// static TensorOp LeakyReLU(float alpha);
// ...
bool operator==(TensorOp const& rhs) const
{
return this->type == rhs.type;
}
bool operator<(TensorOp const& rhs) const
{
return this->type < rhs.type;
}
bool operator>(TensorOp const& rhs) const
{
return rhs < *this;
}
bool operator!=(TensorOp const& rhs) const
{
return !(*this == rhs);
}
bool operator<=(TensorOp const& rhs) const
{
return !(*this > rhs);
}
bool operator>=(TensorOp const& rhs) const
{
return !(*this < rhs);
}
static Type GetType(std::string const& name);
private:
static void InitTypeNames();
static std::map<std::string, Type> typeNames;
};
TENSILELITEHOST_EXPORT std::string ToString(TensorOp::Type t);
TENSILELITEHOST_EXPORT std::string Suffix(TensorOp::Type t);
TENSILELITEHOST_EXPORT std::ostream& operator<<(std::ostream& stream, TensorOp const& t);
TENSILELITEHOST_EXPORT std::istream& operator>>(std::istream& stream, TensorOp& t);
TENSILELITEHOST_EXPORT std::ostream& operator<<(std::ostream& stream, TensorOp::Type const& t);
TENSILELITEHOST_EXPORT std::istream& operator>>(std::istream& stream, TensorOp::Type& t);
/**
* @}
*/
} // namespace TensileLite