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92 lines
3.3 KiB
C++
92 lines
3.3 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (c) 2023 Advanced Micro Devices, Inc.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*
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*******************************************************************************/
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#pragma once
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#include <random>
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#include "get_handle.hpp"
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#include <miopen/conv/data_invoke_params.hpp>
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#include "../driver/tensor_driver.hpp"
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#include "conv_common.hpp"
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#include "conv_test_base.hpp"
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struct Conv3DTestCase
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{
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struct Size3D
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{
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size_t z;
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size_t y;
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size_t x;
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};
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size_t G;
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size_t N;
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size_t C;
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size_t K;
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Size3D img;
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Size3D filter;
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Size3D pad;
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Size3D stride;
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Size3D dilation;
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miopenConvolutionMode_t conv_mode;
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friend std::ostream& operator<<(std::ostream& os, const Conv3DTestCase& tc)
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{
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return os << " G:" << tc.G << " N:" << tc.N << " C:" << tc.C << " K:" << tc.K
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<< " D:" << tc.img.z << " H:" << tc.img.y << " W:" << tc.img.x
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<< " Z:" << tc.filter.z << " Y:" << tc.filter.y << " X:" << tc.filter.x
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<< " pad.z:" << tc.pad.z << " pad.y:" << tc.pad.y << " pad.x:" << tc.pad.x
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<< " stride.z:" << tc.stride.z << " stride.y:" << tc.stride.y
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<< " stride.x:" << tc.stride.x << " dilation.z:" << tc.dilation.z
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<< " dilation.y:" << tc.dilation.y << " dilation.x:" << tc.dilation.x
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<< " conv_mode:" << tc.conv_mode;
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}
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std::vector<size_t> GetInput() { return {N, C, img.z, img.y, img.x}; }
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std::vector<size_t> GetWeights()
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{
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EXPECT_EQUAL(C % G, 0);
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return {K, C / G, filter.z, filter.y, filter.x};
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}
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miopen::ConvolutionDescriptor GetConv()
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{
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return miopen::ConvolutionDescriptor{
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3,
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miopenConvolution,
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miopenPaddingDefault,
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{static_cast<int>(pad.z), static_cast<int>(pad.y), static_cast<int>(pad.x)},
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{static_cast<int>(stride.z), static_cast<int>(stride.y), static_cast<int>(stride.x)},
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{static_cast<int>(dilation.z),
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static_cast<int>(dilation.y),
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static_cast<int>(dilation.x)},
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{0, 0, 0},
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static_cast<int>(G),
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1.0};
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}
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};
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