feat(EnginePartitioningTrigger): update trigger

Engine Partitioning trigger now properly throws on both increased convergence failures and a timestep collapse (timestep collapsing more than a factor of 1/100th the average value for the past 10 steps)
This commit is contained in:
2025-11-10 13:05:24 -05:00
parent 8be36b9ce0
commit 741a11d256
3 changed files with 17 additions and 17 deletions

View File

@@ -331,8 +331,7 @@ namespace gridfire::trigger::solver::CVODE {
*
* @param simulationTimeInterval Interval used by SimulationTimeTrigger (> 0).
* @param offDiagonalThreshold Off-diagonal Jacobian magnitude threshold (>= 0).
* @param timestepGrowthThreshold Threshold for timestep deviation (>= 0, and <= 1 when relative).
* @param timestepGrowthRelative Whether deviation is measured relatively.
* @param relativeTimestepCollapseThreshold Threshold for timestep deviation (>= 0, and <= 1 when relative).
* @param timestepGrowthWindowSize Window size for timestep averaging (>= 1 recommended).
* @return A unique_ptr to a composed Trigger<TimestepContext> implementing the policy above.
*
@@ -341,8 +340,7 @@ namespace gridfire::trigger::solver::CVODE {
std::unique_ptr<Trigger<gridfire::solver::CVODESolverStrategy::TimestepContext>> makeEnginePartitioningTrigger(
const double simulationTimeInterval,
const double offDiagonalThreshold,
const double timestepGrowthThreshold,
const bool timestepGrowthRelative,
const double relativeTimestepCollapseThreshold,
const size_t timestepGrowthWindowSize
);
}

View File

@@ -150,7 +150,7 @@ namespace gridfire::solver {
) {
LOG_TRACE_L1(m_logger, "Starting solver evaluation with T9: {} and rho: {}", netIn.temperature/1e9, netIn.density);
LOG_TRACE_L1(m_logger, "Building engine update trigger....");
auto trigger = trigger::solver::CVODE::makeEnginePartitioningTrigger(1e12, 1e10, 1, true, 10);
auto trigger = trigger::solver::CVODE::makeEnginePartitioningTrigger(1e12, 1e10, 0.01, 10);
LOG_TRACE_L1(m_logger, "Engine update trigger built!");

View File

@@ -184,7 +184,7 @@ namespace gridfire::trigger::solver::CVODE {
}
bool TimestepCollapseTrigger::check(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) const {
if (m_timestep_window.empty()) {
if (m_timestep_window.size() < m_windowSize) {
m_misses++;
return false;
}
@@ -193,11 +193,16 @@ namespace gridfire::trigger::solver::CVODE {
averageTimestep += dt;
}
averageTimestep /= static_cast<double>(m_timestep_window.size());
if (m_relative && (std::abs(ctx.dt - averageTimestep) / averageTimestep) >= m_threshold) {
if (ctx.dt > averageTimestep) {
m_misses++;
return false; // Only trigger on timestep collapse (i.e., decrease in dt)
}
const double diff = std::abs(ctx.dt - averageTimestep);
if (m_relative && 1-(diff / averageTimestep) <= m_threshold) {
m_hits++;
LOG_TRACE_L2(m_logger, "TimestepCollapseTrigger triggered at t = {} due to relative growth: dt = {}, average dt = {}, threshold = {}", ctx.t, ctx.dt, averageTimestep, m_threshold);
return true;
} else if (!m_relative && std::abs(ctx.dt - averageTimestep) >= m_threshold) {
} else if (!m_relative && diff >= m_threshold) {
m_hits++;
LOG_TRACE_L2(m_logger, "TimestepCollapseTrigger triggered at t = {} due to absolute growth: dt = {}, average dt = {}, threshold = {}", ctx.t, ctx.dt, averageTimestep, m_threshold);
return true;
@@ -207,13 +212,13 @@ namespace gridfire::trigger::solver::CVODE {
}
void TimestepCollapseTrigger::update(const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx) {
push_to_fixed_deque(m_timestep_window, ctx.dt, m_windowSize);
m_updates++;
}
void TimestepCollapseTrigger::step(
const gridfire::solver::CVODESolverStrategy::TimestepContext &ctx
) {
push_to_fixed_deque(m_timestep_window, ctx.dt, m_windowSize);
// --- TimestepCollapseTrigger::step does nothing and is intentionally left blank --- //
}
@@ -373,8 +378,7 @@ namespace gridfire::trigger::solver::CVODE {
std::unique_ptr<Trigger<gridfire::solver::CVODESolverStrategy::TimestepContext>> makeEnginePartitioningTrigger(
const double simulationTimeInterval,
const double offDiagonalThreshold,
const double timestepGrowthThreshold,
const bool timestepGrowthRelative,
const double relativeTimestepCollapseThreshold,
const size_t timestepGrowthWindowSize
) {
using ctx_t = gridfire::solver::CVODESolverStrategy::TimestepContext;
@@ -389,14 +393,12 @@ namespace gridfire::trigger::solver::CVODE {
// TODO: This logic likely needs to be revisited; however, for now it is easy enough to change and test and it works reasonably well
auto simulationTimeTrigger = std::make_unique<EveryNthTrigger<ctx_t>>(std::make_unique<SimulationTimeTrigger>(simulationTimeInterval), 1000);
auto offDiagTrigger = std::make_unique<OffDiagonalTrigger>(offDiagonalThreshold);
auto timestepGrowthTrigger = std::make_unique<EveryNthTrigger<ctx_t>>(std::make_unique<TimestepCollapseTrigger>(timestepGrowthThreshold, timestepGrowthRelative, timestepGrowthWindowSize), 10);
auto timestepGrowthTrigger = std::make_unique<EveryNthTrigger<ctx_t>>(std::make_unique<TimestepCollapseTrigger>(relativeTimestepCollapseThreshold, true, timestepGrowthWindowSize), 10);
auto convergenceFailureTrigger = std::make_unique<ConvergenceFailureTrigger>(5, 1.0f, 10);
// Combine the triggers using logical OR
auto orTriggerA = std::make_unique<OrTrigger<ctx_t>>(std::move(simulationTimeTrigger), std::move(offDiagTrigger));
auto orTriggerB = std::make_unique<OrTrigger<ctx_t>>(std::move(orTriggerA), std::move(timestepGrowthTrigger));
// auto orTriggerC = std::make_unique<OrTrigger<ctx_t>>(std::move(orTriggerB), std::move(convergenceFailureTrigger));
return convergenceFailureTrigger;
auto convergenceOrTimestepTrigger = std::make_unique<OrTrigger<ctx_t>>(std::move(timestepGrowthTrigger), std::move(convergenceFailureTrigger));
return convergenceOrTimestepTrigger;
}
}