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TheRock/rocm-libraries/projects/miopen/test/gtest/conv3d_test_case.hpp
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

92 lines
3.3 KiB
C++

/*******************************************************************************
*
* MIT License
*
* Copyright (c) 2023 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 <random>
#include "get_handle.hpp"
#include <miopen/conv/data_invoke_params.hpp>
#include "../driver/tensor_driver.hpp"
#include "conv_common.hpp"
#include "conv_test_base.hpp"
struct Conv3DTestCase
{
struct Size3D
{
size_t z;
size_t y;
size_t x;
};
size_t G;
size_t N;
size_t C;
size_t K;
Size3D img;
Size3D filter;
Size3D pad;
Size3D stride;
Size3D dilation;
miopenConvolutionMode_t conv_mode;
friend std::ostream& operator<<(std::ostream& os, const Conv3DTestCase& tc)
{
return os << " G:" << tc.G << " N:" << tc.N << " C:" << tc.C << " K:" << tc.K
<< " D:" << tc.img.z << " H:" << tc.img.y << " W:" << tc.img.x
<< " Z:" << tc.filter.z << " Y:" << tc.filter.y << " X:" << tc.filter.x
<< " pad.z:" << tc.pad.z << " pad.y:" << tc.pad.y << " pad.x:" << tc.pad.x
<< " stride.z:" << tc.stride.z << " stride.y:" << tc.stride.y
<< " stride.x:" << tc.stride.x << " dilation.z:" << tc.dilation.z
<< " dilation.y:" << tc.dilation.y << " dilation.x:" << tc.dilation.x
<< " conv_mode:" << tc.conv_mode;
}
std::vector<size_t> GetInput() { return {N, C, img.z, img.y, img.x}; }
std::vector<size_t> GetWeights()
{
EXPECT_EQUAL(C % G, 0);
return {K, C / G, filter.z, filter.y, filter.x};
}
miopen::ConvolutionDescriptor GetConv()
{
return miopen::ConvolutionDescriptor{
3,
miopenConvolution,
miopenPaddingDefault,
{static_cast<int>(pad.z), static_cast<int>(pad.y), static_cast<int>(pad.x)},
{static_cast<int>(stride.z), static_cast<int>(stride.y), static_cast<int>(stride.x)},
{static_cast<int>(dilation.z),
static_cast<int>(dilation.y),
static_cast<int>(dilation.x)},
{0, 0, 0},
static_cast<int>(G),
1.0};
}
};