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TheRock/rocm-libraries/projects/hipdnn/tests/frontend/IntegrationAutotuneEndToEnd.cpp
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126 lines
4.3 KiB
C++

// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
// Integration test for end-to-end autotune -> execute workflow.
// Uses the test_autotune_plugin which supports the autotune knob workflow.
#include <algorithm>
#include <gtest/gtest.h>
#include <hip/hip_runtime.h>
#include <memory>
#include <unordered_map>
#include <vector>
#include <hipdnn_data_sdk/utilities/Workspace.hpp>
#include <hipdnn_frontend.hpp>
#include "AutotuneIntegrationFixture.hpp"
using namespace hipdnn_frontend;
using namespace hipdnn_frontend::graph;
using namespace hipdnn_data_sdk::utilities;
namespace
{
using IntegrationAutotuneEndToEnd = hipdnn_tests::AutotuneIntegrationFixture;
// Per-strategy GPU smoke tests. These assert only invariants that
// hold regardless of measured time (proving the strategy is wired end-to-end
// on hardware); they deliberately do NOT assert convergence or an exact
// iteration count, which depend on un-steerable real hipEvent timings.
class IntegrationAutotuneStrategySmoke : public hipdnn_tests::AutotuneIntegrationFixture
{
protected:
void runStrategySmoke(AutotuneStrategy strategy)
{
ConvGraphBundle bundle;
createBuiltConvGraph("autotune_strategy_smoke_conv", bundle);
auto result = bundle.graph->add_all_engines();
ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
int64_t maxWs = 0;
result = bundle.graph->get_estimated_max_workspace_size(maxWs);
ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
const Workspace workspace(static_cast<size_t>(maxWs));
AutotuneConfig config;
config.mode = TuneMode::STANDARD;
config.strategy = strategy;
config.warmupIterations = 1;
config.windowSize = 3;
config.maxIterations = 10;
config.timedIterations = 5;
std::vector<AutotuneResult> results;
result = bundle.graph->autotune(
_handle, bundle.variantPack, workspace.get(), maxWs, config, {}, &results);
ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
bool checkedAnySucceeded = false;
for(const auto& r : results)
{
if(!r.succeeded)
{
continue;
}
checkedAnySucceeded = true;
EXPECT_GE(r.iterationsRun, 1);
EXPECT_LE(r.iterationsRun, config.maxIterations);
EXPECT_GT(r.avgTimeMs, 0.0f);
EXPECT_GE(r.stddevMs, 0.0f);
EXPECT_LE(r.minTimeMs, r.avgTimeMs);
}
EXPECT_TRUE(checkedAnySucceeded) << "No engine succeeded for strategy smoke test";
}
};
TEST_F(IntegrationAutotuneStrategySmoke, FixedAverage)
{
runStrategySmoke(AutotuneStrategy::FIXED_AVERAGE);
}
TEST_F(IntegrationAutotuneStrategySmoke, RunUntilStable)
{
runStrategySmoke(AutotuneStrategy::RUN_UNTIL_STABLE);
}
// Covers the maxIterations == windowSize accepted boundary for RUN_UNTIL_STABLE
// end-to-end through production code: the validation gate (maxIterations >=
// windowSize) must ACCEPT the equal case, and autotune must run to completion
// and return OK with results. runStrategySmoke hard-codes a different
// maxIterations, so this drives the same real path with the equal boundary.
TEST_F(IntegrationAutotuneStrategySmoke, RunUntilStableMaxEqualsWindow)
{
ConvGraphBundle bundle;
createBuiltConvGraph("autotune_max_equals_window_conv", bundle);
auto result = bundle.graph->add_all_engines();
ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
int64_t maxWs = 0;
result = bundle.graph->get_estimated_max_workspace_size(maxWs);
ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
const Workspace workspace(static_cast<size_t>(maxWs));
AutotuneConfig config;
config.mode = TuneMode::STANDARD;
config.strategy = AutotuneStrategy::RUN_UNTIL_STABLE;
config.warmupIterations = 1;
config.windowSize = 3;
config.maxIterations = 3; // equal boundary: maxIterations == windowSize
config.timedIterations = 5;
std::vector<AutotuneResult> results;
result = bundle.graph->autotune(
_handle, bundle.variantPack, workspace.get(), maxWs, config, {}, &results);
ASSERT_EQ(result.code, ErrorCode::OK) << result.err_msg;
assertAnySucceeded(results);
}
} // namespace