/******************************************************************************* * * MIT License * * Copyright (c) 2022 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. * *******************************************************************************/ #include #include #include #include #include #include #include #include #include #include "tensor_util.hpp" #include "get_handle.hpp" #include "gtest_common.hpp" #include "conv_activ.hpp" namespace { using float16 = half_float::half; template struct CAInferBase : ConvActivInferTest { void RunSolver(const miopen::solver::fusion::FusionSolverBase& solv) { auto& handle = get_handle(); const auto fusion_problem = miopen::FusionDescription{&this->fusePlanDesc}; auto fusion_ctx = miopen::FusionContext{handle}; if(!solv.IsApplicable(fusion_ctx, fusion_problem)) { this->test_skipped = true; GTEST_SKIP() << solv.SolverDbId() << " Not Applicable" << this->conv_config; } ASSERT_TRUE(solv.IsApplicable(fusion_ctx, fusion_problem)); auto sol = solv.GetSolution(fusion_ctx, fusion_problem); ASSERT_TRUE(sol.Succeeded()); ASSERT_TRUE(sol.invoker_factory); const auto plan_params = std::make_unique(this->params, this->input.desc, this->in_dev.get(), this->output.desc, this->out_dev.get(), false); const auto invoker = handle.PrepareInvoker(*sol.invoker_factory, sol.construction_params); (invoker)(handle, *(plan_params.get())); handle.Finish(); } std::unique_ptr createFusionInvokeParams( const miopen::FusionDescription& fusion_desc, const miopen::FusionContext& fusion_ctx, const miopen::solver::SolverInterfaceTunable& solv, bool useWorkspace = false) { if(useWorkspace) { this->wspace.resize(solv.GetWorkspaceSize(fusion_ctx, fusion_desc)); return std::make_unique(this->params, this->input.desc, this->in_dev.get(), this->output.desc, this->out_dev.get(), false, this->wspace.ptr(), this->wspace.size()); } else { return std::make_unique(this->params, this->input.desc, this->in_dev.get(), this->output.desc, this->out_dev.get(), false); } } // Have to keep it a template besause of GetDefaultPerformanceConfig() call template void RunTunableSolver() { auto& handle = get_handle(); Solver solv{}; const auto fusion_problem = miopen::FusionDescription{&this->fusePlanDesc}; auto fusion_ctx = miopen::FusionContext{handle}; if(!solv.IsApplicable(fusion_ctx, fusion_problem)) { this->test_skipped = true; GTEST_SKIP() << solv.SolverDbId() << " Not Applicable" << this->conv_config; } ASSERT_TRUE(solv.IsApplicable(fusion_ctx, fusion_problem)); auto sol = solv.GetSolution(fusion_ctx, fusion_problem, solv.GetDefaultPerformanceConfig(fusion_ctx, fusion_problem)); ASSERT_TRUE(sol.Succeeded()); ASSERT_TRUE(sol.invoker_factory); auto plan_params = createFusionInvokeParams(fusion_problem, fusion_ctx, solv, solv.MayNeedWorkspace()); const auto invoker = handle.PrepareInvoker(*sol.invoker_factory, sol.construction_params); (invoker)(handle, *(plan_params.get())); handle.Finish(); } }; template inline auto gcaInferParamGenSmoke(Configs configs, TensorTypes tensorTypes) { return ::testing::Combine(testing::Values(miopenActivationRELU, miopenActivationCLIPPEDRELU), testing::ValuesIn(configs), tensorTypes, testing::Values(0.5f), testing::Values(1.0f), testing::Values(0.5f)); } template inline auto gcaInferParamGenFull(Configs configs, TensorTypes tensorTypes) { return ::testing::Combine(testing::Values(miopenActivationCLAMP), testing::ValuesIn(configs), tensorTypes, testing::Values(0.5f), testing::Values(1.0f), testing::Values(0.5f)); } using GPU_ConvGrpActivInfer_BFP16 = CAInferBase>; using GPU_ConvGrpActivInfer_FP16 = CAInferBase>; using GPU_ConvGrpActivInfer_FP32 = CAInferBase>; using GPU_ConvGrpActivInfer3D_BFP16 = CAInferBase>; using GPU_ConvGrpActivInfer3D_FP16 = CAInferBase>; using GPU_ConvGrpActivInfer3D_FP32 = CAInferBase>; } // namespace TEST_P(GPU_ConvGrpActivInfer_BFP16, ConvCKIgemmGrpFwdActivFused) { RunTunableSolver(); }; TEST_P(GPU_ConvGrpActivInfer3D_BFP16, ConvCKIgemmGrpFwdActivFused) { RunTunableSolver(); }; TEST_P(GPU_ConvGrpActivInfer_FP16, ConvCKIgemmGrpFwdActivFused) { RunTunableSolver(); }; TEST_P(GPU_ConvGrpActivInfer3D_FP16, ConvCKIgemmGrpFwdActivFused) { RunTunableSolver(); }; TEST_P(GPU_ConvGrpActivInfer_FP32, ConvCKIgemmGrpFwdActivFused) { RunTunableSolver(); }; TEST_P(GPU_ConvGrpActivInfer3D_FP32, ConvCKIgemmGrpFwdActivFused) { RunTunableSolver(); }; // Instantiate test suites for BFP16 INSTANTIATE_TEST_SUITE_P( Smoke, GPU_ConvGrpActivInfer_BFP16, gcaInferParamGenSmoke(GroupConvTestConfig<2>::GetSmokeConfigs(), testing::Values(miopenTensorNHWC, miopenTensorNCHW))); INSTANTIATE_TEST_SUITE_P( Smoke, GPU_ConvGrpActivInfer3D_BFP16, gcaInferParamGenSmoke(GroupConvTestConfig<3>::GetSmokeConfigs(), testing::Values(miopenTensorNDHWC, miopenTensorNCDHW))); INSTANTIATE_TEST_SUITE_P( Full, GPU_ConvGrpActivInfer_BFP16, gcaInferParamGenFull(GroupConvTestConfig<2>::GetConfigs(), testing::Values(miopenTensorNHWC, miopenTensorNCHW))); INSTANTIATE_TEST_SUITE_P( Full, GPU_ConvGrpActivInfer3D_BFP16, gcaInferParamGenFull(GroupConvTestConfig<3>::GetConfigs(), testing::Values(miopenTensorNDHWC, miopenTensorNCDHW))); // Instantiate test suites for FP16 INSTANTIATE_TEST_SUITE_P( Smoke, GPU_ConvGrpActivInfer_FP16, gcaInferParamGenSmoke(GroupConvTestConfig<2>::GetSmokeConfigs(), testing::Values(miopenTensorNHWC, miopenTensorNCHW))); INSTANTIATE_TEST_SUITE_P( Smoke, GPU_ConvGrpActivInfer3D_FP16, gcaInferParamGenSmoke(GroupConvTestConfig<3>::GetSmokeConfigs(), testing::Values(miopenTensorNDHWC, miopenTensorNCDHW))); INSTANTIATE_TEST_SUITE_P( Full, GPU_ConvGrpActivInfer_FP16, gcaInferParamGenFull(GroupConvTestConfig<2>::GetConfigs(), testing::Values(miopenTensorNHWC, miopenTensorNCHW))); INSTANTIATE_TEST_SUITE_P( Full, GPU_ConvGrpActivInfer3D_FP16, gcaInferParamGenFull(GroupConvTestConfig<3>::GetConfigs(), testing::Values(miopenTensorNDHWC, miopenTensorNCDHW))); // Instantiate test suites for FP32 INSTANTIATE_TEST_SUITE_P( Smoke, GPU_ConvGrpActivInfer_FP32, gcaInferParamGenSmoke(GroupConvTestConfig<2>::GetSmokeConfigs(), testing::Values(miopenTensorNHWC, miopenTensorNCHW))); INSTANTIATE_TEST_SUITE_P( Smoke, GPU_ConvGrpActivInfer3D_FP32, gcaInferParamGenSmoke(GroupConvTestConfig<3>::GetSmokeConfigs(), testing::Values(miopenTensorNDHWC, miopenTensorNCDHW))); INSTANTIATE_TEST_SUITE_P( Full, GPU_ConvGrpActivInfer_FP32, gcaInferParamGenFull(GroupConvTestConfig<2>::GetConfigs(), testing::Values(miopenTensorNHWC, miopenTensorNCHW))); INSTANTIATE_TEST_SUITE_P( Full, GPU_ConvGrpActivInfer3D_FP32, gcaInferParamGenFull(GroupConvTestConfig<3>::GetConfigs(), testing::Values(miopenTensorNDHWC, miopenTensorNCDHW)));