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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/TensorOps.hpp>
#include <Tensile/Utils.hpp>
namespace Tensile
{
std::map<std::string, TensorOp::Type> TensorOp::typeNames;
TensorOp::TensorOp() = default;
TensorOp::TensorOp(Type type)
: type(type)
{
}
std::string ToString(TensorOp::Type t)
{
switch(t)
{
case TensorOp::Type::None:
return "None";
case TensorOp::Type::ComplexConjugate:
return "ComplexConjugate";
case TensorOp::Type::Count:;
}
return "Invalid";
}
std::string Suffix(TensorOp::Type t)
{
switch(t)
{
case TensorOp::Type::None:
return "";
case TensorOp::Type::ComplexConjugate:
return "C";
case TensorOp::Type::Count:;
}
return "Invalid";
}
TensorOp::Type TensorOp::GetType(std::string const& name)
{
static int call_once = (InitTypeNames(), 0);
auto iter = typeNames.find(name);
if(iter == typeNames.end())
throw std::runtime_error(concatenate("Invalid TensorOp type: ", name));
// Use variable to quiet the compiler.
if(call_once)
return iter->second;
return iter->second;
}
void TensorOp::InitTypeNames()
{
for(int idx = 0; idx < static_cast<int>(Type::Count); idx++)
{
Type type = static_cast<Type>(idx);
typeNames[ToString(type)] = type;
typeNames[Suffix(type)] = type;
}
}
std::string TensorOp::name() const
{
return ToString(type);
}
std::string TensorOp::suffix() const
{
return Suffix(type);
}
std::ostream& operator<<(std::ostream& stream, TensorOp const& t)
{
return stream << t.type;
}
std::istream& operator>>(std::istream& stream, TensorOp& t)
{
return stream >> t.type;
}
std::ostream& operator<<(std::ostream& stream, TensorOp::Type const& t)
{
return stream << ToString(t);
}
std::istream& operator>>(std::istream& stream, TensorOp::Type& t)
{
std::string typeName;
stream >> typeName;
t = TensorOp::GetType(typeName);
return stream;
}
} // namespace Tensile
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