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/*******************************************************************************
*
* MIT License
*
* Copyright (c) 2024 Advanced Micro Devices, Inc.
*
* 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 <miopen/logger.hpp>
#include <miopen/tensor.hpp>
namespace miopen {
namespace unit_tests {
struct TensorDescriptorParams
{
TensorDescriptorParams(miopenDataType_t datatype_in, std::vector<std::size_t>&& lens_in)
: datatype(datatype_in), lens(std::move(lens_in))
{
}
TensorDescriptorParams(miopenDataType_t datatype_in,
miopenTensorLayout_t layout_in,
std::vector<std::size_t>&& lens_in)
: datatype(datatype_in), layout(layout_in), lens(std::move(lens_in))
{
}
TensorDescriptorParams(miopenDataType_t datatype_in,
std::vector<std::size_t>&& lens_in,
std::vector<std::size_t>&& strides_in)
: datatype(datatype_in), lens(std::move(lens_in)), strides(std::move(strides_in))
{
}
TensorDescriptorParams(miopenDataType_t datatype_in,
miopenTensorLayout_t layout_in,
std::vector<std::size_t>&& lens_in,
std::vector<std::size_t>&& strides_in)
: datatype(datatype_in),
layout(layout_in),
lens(std::move(lens_in)),
strides(std::move(strides_in))
{
}
std::size_t GetNumDims() const { return lens.size(); }
const std::vector<std::size_t>& GetLens() const { return lens; }
miopenDataType_t GetDataType() const { return datatype; }
miopen::TensorDescriptor GetTensorDescriptor() const
{
if(layout)
{
if(!strides.empty())
return {datatype, layout.value(), lens, strides};
else
return {datatype, layout.value(), lens};
}
else
{
if(!strides.empty())
return {datatype, lens, strides};
else
return {datatype, lens};
}
}
friend std::ostream& operator<<(std::ostream& os, const TensorDescriptorParams& tp)
{
os << tp.datatype << ", ";
if(tp.layout)
os << tp.layout.value() << ", ";
else
os << "none, ";
miopen::LogRange(os << "{", tp.lens, ",") << "}, ";
miopen::LogRange(os << "{", tp.strides, ",") << "}";
return os;
}
private:
miopenDataType_t datatype;
std::optional<miopenTensorLayout_t> layout;
std::vector<std::size_t> lens;
std::vector<std::size_t> strides;
};
} // namespace unit_tests
} // namespace miopen
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