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207 lines
9.9 KiB
C++
207 lines
9.9 KiB
C++
/*******************************************************************************
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*
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* MIT License
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*
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* Copyright (c) 2025 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 <gtest/group_conv.hpp>
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#include <miopen/datatype.hpp>
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#include "../../driver/driver.hpp"
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namespace miopen {
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std::vector<solver::ConvSolution>
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GetConvSolutions(const ExecutionContext& ctx,
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const conv::ProblemDescription& problem,
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const std::vector<miopenConvSolution_t> solutions);
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std::vector<Solution> EvaluateConvSolutions(const ExecutionContext& ctx,
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const conv::ProblemDescription& problem,
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const AnyInvokeParams& invoke_ctx,
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const std::vector<solver::ConvSolution> solutions,
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bool model_result);
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bool HasGoodSolution(const std::vector<miopenConvSolution_t> solutions,
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const std::vector<Solution> eval_sols,
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const bool model_result);
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} // namespace miopen
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struct FindModeTrustVerifyTestCase
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{
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struct group_conv::GroupConvTestConfig<2u> conv;
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miopen::conv::Direction direction;
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miopenDataType_t data_type;
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miopenTensorLayout_t layout;
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std::vector<miopenConvSolution_t> solutions;
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std::string arch;
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};
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std::vector<FindModeTrustVerifyTestCase> ConvTestCases()
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{
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return {{{1, 128, 144, 288, {14, 14}, {3, 3}, {1, 1}, {1, 1}, {1, 1}},
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miopen::conv::Direction::Forward,
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miopenHalf,
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miopenTensorNCHW,
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{{0.125148,
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51323904,
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miopen::solver::Id{"ConvAsmImplicitGemmGTCDynamicFwdXdlopsNHWC"}.Value(),
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miopenConvolutionAlgoImplicitGEMM},
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{0.166229,
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0,
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miopen::solver::Id{"ConvBinWinogradRxSf2x3g1"}.Value(),
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miopenConvolutionAlgoWinograd},
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{0.319588,
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0,
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miopen::solver::Id{"ConvBinWinogradRxSf3x2"}.Value(),
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miopenConvolutionAlgoWinograd},
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{0.353159,
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22422528,
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miopen::solver::Id{"ConvHipImplicitGemmGroupFwdXdlops"}.Value(),
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miopenConvolutionAlgoImplicitGEMM}},
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"gfx942"}};
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}
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class FindModeTrustVerifyTest : public ::testing::TestWithParam<FindModeTrustVerifyTestCase>
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{
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protected:
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void TestConvSolutions()
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{
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auto test_case = GetParam();
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auto&& handle = get_handle();
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miopen::ExecutionContext ctx(&handle);
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if(test_case.arch != ctx.GetStream().GetDeviceName())
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GTEST_SKIP();
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auto input_tensor_desc = miopen::TensorDescriptor(
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test_case.data_type, test_case.layout, test_case.conv.GetInput());
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auto weights_tensor_desc = miopen::TensorDescriptor(
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test_case.data_type, test_case.layout, test_case.conv.GetWeights());
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auto conv_desc = test_case.conv.GetConv();
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conv_desc.findMode.Set(miopen::FindMode::Values::TrustVerify);
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auto output_desc = conv_desc.GetForwardOutputTensor(
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input_tensor_desc, weights_tensor_desc, test_case.data_type);
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auto problem = (test_case.direction == miopen::conv::Direction::Forward)
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? miopen::conv::ProblemDescription(input_tensor_desc,
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weights_tensor_desc,
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output_desc,
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conv_desc,
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test_case.direction)
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: miopen::conv::ProblemDescription(output_desc,
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weights_tensor_desc,
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input_tensor_desc,
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conv_desc,
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test_case.direction);
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auto data_size = miopen::get_data_size(test_case.data_type);
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auto in_tensor = GPUMem{0, input_tensor_desc.GetNumBytes() / data_size, data_size};
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auto wt_tensor = GPUMem{0, weights_tensor_desc.GetNumBytes() / data_size, data_size};
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auto out_tensor = GPUMem{0, output_desc.GetNumBytes() / data_size, data_size};
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auto workSpaceSize = conv_desc.GetWorkSpaceSize(ctx, problem);
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// warning thrown by deconstructor when workSpaceSize is 0
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auto workSpace = GPUMem{0, workSpaceSize / data_size, data_size};
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miopen::AnyInvokeParams invoke_ctx;
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if(test_case.direction == miopen::conv::Direction::Forward)
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invoke_ctx = miopen::conv::DataInvokeParams{{input_tensor_desc,
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in_tensor.GetMem(),
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weights_tensor_desc,
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wt_tensor.GetMem(),
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output_desc,
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out_tensor.GetMem()},
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workSpace.GetMem(),
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workSpaceSize,
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conv_desc.attribute.gfx90aFp16alt.GetFwd()};
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else if(test_case.direction == miopen::conv::Direction::BackwardData)
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invoke_ctx = miopen::conv::DataInvokeParams{{output_desc,
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out_tensor.GetMem(),
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weights_tensor_desc,
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wt_tensor.GetMem(),
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input_tensor_desc,
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in_tensor.GetMem()},
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workSpace.GetMem(),
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workSpaceSize,
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conv_desc.attribute.gfx90aFp16alt.GetBwd()};
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else
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invoke_ctx = miopen::conv::WrWInvokeParams{{output_desc,
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out_tensor.GetMem(),
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input_tensor_desc,
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in_tensor.GetMem(),
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weights_tensor_desc,
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wt_tensor.GetMem()},
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workSpace.GetMem(),
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workSpaceSize,
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conv_desc.attribute.gfx90aFp16alt.GetWrW()};
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std::vector<miopenConvSolution_t> solutions = test_case.solutions;
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auto conv_sols = miopen::GetConvSolutions(ctx, problem, solutions);
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ASSERT_TRUE(conv_sols.size() == solutions.size());
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ASSERT_TRUE(conv_sols.size() > 0);
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std::vector<miopen::Solution> eval_sols1, eval_sols2;
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eval_sols1 = miopen::EvaluateConvSolutions(ctx, problem, invoke_ctx, conv_sols, false);
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ASSERT_TRUE(eval_sols1.size() == 1);
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eval_sols2 = miopen::EvaluateConvSolutions(ctx, problem, invoke_ctx, conv_sols, true);
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ASSERT_TRUE(eval_sols2.size() == solutions.size());
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bool good_entry;
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const float eval_time1 = eval_sols2[0].GetTime();
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const float eval_time2 = eval_sols2[1].GetTime();
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float tolerance = 1.0 + env::value(MIOPEN_VERIFY_TOLERANCE_PCT) / 100.0f;
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solutions[0].time = eval_time1;
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good_entry = miopen::HasGoodSolution(solutions, eval_sols2, false);
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ASSERT_TRUE(good_entry);
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solutions[0].time = eval_time1 / (tolerance + 0.01);
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good_entry = miopen::HasGoodSolution(solutions, eval_sols2, false);
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ASSERT_FALSE(good_entry);
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eval_sols2[0].SetTime(eval_time2 * 0.9);
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good_entry = miopen::HasGoodSolution(solutions, eval_sols2, true);
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ASSERT_TRUE(good_entry);
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eval_sols2[0].SetTime(eval_time2 * 1.1);
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good_entry = miopen::HasGoodSolution(solutions, eval_sols2, true);
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ASSERT_FALSE(good_entry);
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}
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};
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using GPU_FindModeTrustVerify_FP16 = FindModeTrustVerifyTest;
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TEST_P(GPU_FindModeTrustVerify_FP16, TrustVerifyTest)
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{
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#if defined(__SANITIZE_ADDRESS__) || (defined(__has_feature) && __has_feature(address_sanitizer))
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// Skip solver performance validation tests when AddressSanitizer is enabled as ASan
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// significantly affects memory allocation patterns and performance characteristics.
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GTEST_SKIP();
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#else
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TestConvSolutions();
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#endif
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}
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INSTANTIATE_TEST_SUITE_P(Smoke, GPU_FindModeTrustVerify_FP16, testing::ValuesIn(ConvTestCases()));
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