/******************************************************************************* * * 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. * *******************************************************************************/ #pragma once #include #include #include #include #include #include #include "tensor_util.hpp" #include "conv_common.hpp" #include "conv_test_base.hpp" #include "conv_tensor_gen.hpp" template struct ConvActivInferTest : public ::testing::TestWithParam>, ConvFwdSolverTestBase { protected: void SetUp() override { test_skipped = false; std::tie(activ_mode, conv_config, tensor_layout, activ_alpha, activ_beta, activ_gamma) = this->GetParam(); cfsb::SetUpImpl(conv_config, tensor_layout); activ_desc = {activ_mode, activ_alpha, activ_beta, activ_gamma}; std::fill( cfsb::output.begin(), cfsb::output.end(), std::numeric_limits::quiet_NaN()); // Setup the Fusionplan fusePlanDesc = miopen::FusionPlanDescriptor(miopenVerticalFusion, cfsb::input.desc); auto convOp = std::make_shared(cfsb::conv_desc, cfsb::weights.desc); auto activOp = std::make_shared(activ_desc.GetMode()); EXPECT_EQ(fusePlanDesc.AddOp(convOp), miopenStatusSuccess); convOp->SetArgs(params, &alpha, &beta, cfsb::wei_dev.get()); EXPECT_EQ(fusePlanDesc.AddOp(activOp), miopenStatusSuccess); activOp->SetArgs(params, &alpha, &beta, activ_alpha, activ_beta, activ_gamma); } void TearDown() override { if(test_skipped) return; conv_stats stats; cfsb::TearDownConv(); activationHostInfer(activ_mode, activ_gamma, activ_beta, activ_alpha, cfsb::ref_out.data, cfsb::ref_out.data); cfsb::ThresholdChecks(); } TestCaseType conv_config; miopen::ActivationDescriptor activ_desc; bool test_skipped = false; miopenActivationMode_t activ_mode; miopen::FusionPlanDescriptor fusePlanDesc; miopen::OperatorArgs params; const float alpha = 1.0f; const float beta = 0.0f; float activ_alpha = 0.25f; float activ_beta = 0.75f; float activ_gamma = 0.5f; miopenTensorLayout_t tensor_layout; using cfsb = ConvFwdSolverTestBase; Workspace wspace{}; };