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/*******************************************************************************
*
* 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 <gtest/gtest.h>
#include <miopen/miopen.h>
#include <miopen/solver_id.hpp>
#include <serialize.hpp>
#include <fusionHost.hpp>
#include <miopen/fusion.hpp>
#include <miopen/fusion/solvers.hpp>
#include <miopen/fusion/fusion_invoke_params.hpp>
#include <miopen/env.hpp>
#include "tensor_util.hpp"
#include "get_handle.hpp"
#include "cba.hpp"
namespace env = miopen::env;
namespace cba_infer {
struct GPU_ConvBiasActivInfer_FP32 : ConvBiasActivInferTest<float>
{
};
struct GPU_ConvBiasActivInferFusionCompileStep_FP32 : ConvBiasActivInferTest<float>
{
};
struct GPU_ConvBiasActivInfer_FP16 : ConvBiasActivInferTest<half_float::half>
{
};
template <typename Solver, typename TestCase>
void RunSolver(miopen::FusionPlanDescriptor& fusePlanDesc,
const std::unique_ptr<miopen::fusion::FusionInvokeParams>& plan_params,
const TestCase& conv_config,
bool& test_skipped)
{
auto& handle = get_handle();
Solver solv{};
const auto fusion_problem = miopen::FusionDescription{&fusePlanDesc};
auto fusion_ctx = miopen::FusionContext{handle};
if(!solv.IsApplicable(fusion_ctx, fusion_problem))
{
test_skipped = true;
GTEST_SKIP() << solv.SolverDbId() << " Not Applicable" << 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 invoker = handle.PrepareInvoker(*sol.invoker_factory, sol.construction_params);
(invoker)(handle, *(plan_params.get()));
handle.Finish();
}
template <typename Solver>
void RunTunableSolver(miopen::FusionPlanDescriptor& fusePlanDesc,
const std::unique_ptr<miopen::fusion::FusionInvokeParams>& plan_params,
const ConvTestCaseBase& conv_config,
bool& test_skipped)
{
auto& handle = get_handle();
Solver solv{};
const auto fusion_problem = miopen::FusionDescription{&fusePlanDesc};
auto fusion_ctx = miopen::FusionContext{handle};
if(!solv.IsApplicable(fusion_ctx, fusion_problem))
{
test_skipped = true;
GTEST_SKIP() << solv.SolverDbId() << " Not Applicable" << 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);
const auto invoker = handle.PrepareInvoker(*sol.invoker_factory, sol.construction_params);
(invoker)(handle, *(plan_params.get()));
handle.Finish();
}
} // namespace cba_infer
using namespace cba_infer;
TEST_P(GPU_ConvBiasActivInfer_FP32, ConvBiasActivAsm1x1UFloat)
{
const auto plan_params = std::make_unique<miopen::fusion::FusionInvokeParams>(
params, input.desc, in_dev.get(), output.desc, out_dev.get(), false);
RunTunableSolver<miopen::solver::fusion::ConvBiasActivAsm1x1U>(
fusePlanDesc, plan_params, conv_config, test_skipped);
}
TEST_P(GPU_ConvBiasActivInfer_FP32, ConvOclDirectFwdFused)
{
const auto plan_params = std::make_unique<miopen::fusion::FusionInvokeParams>(
params, input.desc, in_dev.get(), output.desc, out_dev.get(), false);
RunTunableSolver<miopen::solver::fusion::ConvOclDirectFwdFused>(
fusePlanDesc, plan_params, conv_config, test_skipped);
}
TEST_P(GPU_ConvBiasActivInfer_FP32, ConvBinWinogradRxSFused)
{
const auto plan_params = std::make_unique<miopen::fusion::FusionInvokeParams>(
params, input.desc, in_dev.get(), output.desc, out_dev.get(), false);
RunSolver<miopen::solver::fusion::ConvBinWinogradRxSFused>(
fusePlanDesc, plan_params, conv_config, test_skipped);
}
TEST_P(GPU_ConvBiasActivInfer_FP32, ConvBinWinogradRxSf2x3g1Fused)
{
const auto plan_params = std::make_unique<miopen::fusion::FusionInvokeParams>(
params, input.desc, in_dev.get(), output.desc, out_dev.get(), false);
RunSolver<miopen::solver::fusion::ConvBinWinogradRxSf2x3g1Fused>(
fusePlanDesc, plan_params, conv_config, test_skipped);
}
TEST_P(GPU_ConvBiasActivInfer_FP16, ConvWinoFuryRxSf2x3Fused)
{
const auto plan_params = std::make_unique<miopen::fusion::FusionInvokeParams>(
params, input.desc, in_dev.get(), output.desc, out_dev.get(), false);
RunSolver<miopen::solver::fusion::ConvWinoFuryRxSFused<2, 3>>(
fusePlanDesc, plan_params, conv_config, test_skipped);
}
TEST_P(GPU_ConvBiasActivInfer_FP16, ConvCKIgemmFwdBiasActivFused)
{
const auto plan_params = std::make_unique<miopen::fusion::FusionInvokeParams>(
params, input.desc, in_dev.get(), output.desc, out_dev.get(), false);
RunTunableSolver<miopen::solver::fusion::ConvCKIgemmFwdBiasActivFused>(
fusePlanDesc, plan_params, conv_config, test_skipped);
}
#if MIOPEN_BACKEND_HIP
TEST_P(GPU_ConvBiasActivInferFusionCompileStep_FP32, ConvBiasActivAsm1x1UFloat_testCompile)
{
env::setEnvironmentVariable("MIOPEN_FIND_ENFORCE", "SEARCH_DB_UPDATE");
env::update(MIOPEN_DEBUG_TUNING_ITERATIONS_MAX, 5);
fusePlanDesc.Compile(get_handle());
const auto plan_params = std::make_unique<miopen::fusion::FusionInvokeParams>(
params, input.desc, in_dev.get(), output.desc, out_dev.get(), false);
RunTunableSolver<miopen::solver::fusion::ConvBiasActivAsm1x1U>(
fusePlanDesc, plan_params, conv_config, test_skipped);
}
INSTANTIATE_TEST_SUITE_P(
Smoke,
GPU_ConvBiasActivInferFusionCompileStep_FP32,
testing::Combine(testing::Values(miopenActivationRELU),
testing::ValuesIn(GetNetworkForFusionCompileStepTest<ConvTestCaseBase>()),
testing::Values(miopenTensorNCHW)));
#endif
INSTANTIATE_TEST_SUITE_P(Smoke,
GPU_ConvBiasActivInfer_FP32,
testing::Combine(testing::Values(miopenActivationRELU),
testing::ValuesIn(GetNetwork1<ConvTestCaseBase>()),
testing::Values(miopenTensorNCHW)));
INSTANTIATE_TEST_SUITE_P(Smoke,
GPU_ConvBiasActivInfer_FP16,
testing::Combine(testing::Values(miopenActivationRELU),
testing::ValuesIn(GetNetwork1<ConvTestCaseBase>()),
testing::Values(miopenTensorNHWC)));
|
