derek.holloway
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110 lines
6.5 KiB
C++
110 lines
6.5 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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#include <tuple>
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#include <string_view>
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#include "gtest_common.hpp"
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#include "../conv2d.hpp"
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namespace deepbench_conv {
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auto GetTestCases()
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{
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const std::string v = " --verbose";
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return std::vector{
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// clang-format off
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std::pair{std::tuple<>{}, v + " --input 4 1 161 700 --weights 32 1 5 20 --pads_strides_dilations 0 0 2 2 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 1 161 700 --weights 32 1 5 20 --pads_strides_dilations 0 0 2 2 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 1 161 700 --weights 32 1 5 20 --pads_strides_dilations 0 0 2 2 1 1"},
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std::pair{std::tuple<>{}, v + " --input 32 1 161 700 --weights 32 1 5 20 --pads_strides_dilations 0 0 2 2 1 1"},
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std::pair{std::tuple<>{}, v + " --input 4 32 79 341 --weights 32 32 5 10 --pads_strides_dilations 0 0 2 2 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 32 79 341 --weights 32 32 5 10 --pads_strides_dilations 0 0 2 2 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 32 79 341 --weights 32 32 5 10 --pads_strides_dilations 0 0 2 2 1 1"},
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std::pair{std::tuple<>{}, v + " --input 32 32 79 341 --weights 32 32 5 10 --pads_strides_dilations 0 0 2 2 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 1 48 480 --weights 16 1 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 16 24 240 --weights 32 16 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 32 12 120 --weights 64 32 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 64 6 60 --weights 128 64 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 3 108 108 --weights 64 3 3 3 --pads_strides_dilations 1 1 2 2 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 64 54 54 --weights 64 64 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 128 27 27 --weights 128 128 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 128 14 14 --weights 256 128 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 256 7 7 --weights 512 256 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 3 224 224 --weights 64 3 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 64 112 112 --weights 128 64 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 128 56 56 --weights 256 128 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 256 28 28 --weights 512 256 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 512 14 14 --weights 512 512 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 8 512 7 7 --weights 512 512 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 3 224 224 --weights 64 3 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 64 112 112 --weights 128 64 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 128 56 56 --weights 256 128 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 256 28 28 --weights 512 256 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 512 14 14 --weights 512 512 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 512 7 7 --weights 512 512 3 3 --pads_strides_dilations 1 1 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 3 224 224 --weights 64 3 7 7 --pads_strides_dilations 3 3 2 2 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 192 28 28 --weights 32 192 5 5 --pads_strides_dilations 2 2 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 512 14 14 --weights 48 512 5 5 --pads_strides_dilations 2 2 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 832 7 7 --weights 128 832 5 5 --pads_strides_dilations 2 2 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 192 28 28 --weights 32 192 1 1 --pads_strides_dilations 0 0 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 512 14 14 --weights 48 512 1 1 --pads_strides_dilations 0 0 1 1 1 1"},
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std::pair{std::tuple<>{}, v + " --input 16 832 7 7 --weights 128 832 1 1 --pads_strides_dilations 0 0 1 1 1 1"}
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// clang-format on
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};
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}
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using TestCase = decltype(GetTestCases())::value_type;
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class GPU_Conv2d_DeepBench_FP32 : public FloatTestCase<std::vector<TestCase>>
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{
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MIOPEN_DECLARE_GTEST_USES_TEST_DRIVE();
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};
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bool IsTestSupportedForDevice()
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{
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using e_mask = enabled<Gpu::gfx94X, Gpu::gfx103X, Gpu::gfx110X, Gpu::gfx115X>;
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using d_mask = disabled<Gpu::Default>;
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return ::IsTestSupportedForDevMask<d_mask, e_mask>();
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}
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} // namespace deepbench_conv
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using namespace deepbench_conv;
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TEST_P(GPU_Conv2d_DeepBench_FP32, FloatTest_deepbench_conv)
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{
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if(IsTestSupportedForDevice())
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{
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invoke_with_params<conv2d_driver, GPU_Conv2d_DeepBench_FP32>(default_check);
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}
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else
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{
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GTEST_SKIP();
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}
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};
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INSTANTIATE_TEST_SUITE_P(Full, GPU_Conv2d_DeepBench_FP32, testing::Values(GetTestCases()));
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