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Adding Mattia's memory leak test

This commit is contained in:
Peter Boyle
2026-06-16 11:19:36 -07:00
parent 4aa0bca4dc
commit c3f4474401
+261
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/*************************************************************************************
Test_fft_memory.cc
Memory growth test for PlannedFFT on a spin-colour matrix (propagator) field.
The test creates a single PlannedFFT object (which allocates FFTW plans once),
then repeatedly applies FFT_all_dim to the same propagator 400 times.
If PlannedFFT is working correctly the RSS should remain flat after the first
iteration — no new plans, no new deviceVector allocations beyond the per-call
pencil buffer which is freed at the end of each FFT_dim_execute call.
Build exactly like any other Grid test, e.g.:
make Test_fft_memory
or compile manually:
$(CXX) $(CXXFLAGS) Test_fft_memory.cc -o Test_fft_memory $(LDFLAGS)
*************************************************************************************/
#include <Grid/Grid.h>
using namespace Grid;
// --------------------------------------------------------------------------
// Helper: read RSS (resident set size) in kB from /proc/self/status.
// Returns 0 on platforms where /proc is unavailable.
// --------------------------------------------------------------------------
static long getCPURSSKb()
{
long rss = 0;
FILE *fp = fopen("/proc/self/status", "r");
if (!fp) return -1;
char line[256];
while (fgets(line, sizeof(line), fp)) {
if (strncmp(line, "VmRSS:", 6) == 0) {
sscanf(line + 6, "%ld", &rss);
break;
}
}
fclose(fp);
return rss;
}
static long getGPUUsedMb()
{
#if defined(GRID_CUDA)
size_t free_bytes = 0;
size_t total_bytes = 0;
cudaError_t err = cudaMemGetInfo(&free_bytes, &total_bytes);
if (err != cudaSuccess) return -1;
return (long)((total_bytes - free_bytes) / (1024 * 1024));
#elif defined(GRID_HIP)
size_t free_bytes = 0;
size_t total_bytes = 0;
hipError_t err = hipMemGetInfo(&free_bytes, &total_bytes);
if (err != hipSuccess) return -1;
return (long)((total_bytes - free_bytes) / (1024 * 1024));
#else
return -1; // CPU-only build: no GPU to query
#endif
}
// ============================================================
// Convenience struct — one snapshot of both sides
// ============================================================
struct MemSnapshot {
long cpu_rss_kb; // host RSS in kB (-1 if unavailable)
long gpu_used_mb; // device used in MB (-1 if no GPU)
};
static MemSnapshot takeSnapshot()
{
MemSnapshot s;
s.cpu_rss_kb = getCPURSSKb();
s.gpu_used_mb = getGPUUsedMb();
return s;
}
// ============================================================
// Pretty-print one row of the monitoring table
// ============================================================
static void printRow(int iter,
const MemSnapshot &now,
const MemSnapshot &prev)
{
long cpu_delta = (now.cpu_rss_kb >= 0 && prev.cpu_rss_kb >= 0)
? now.cpu_rss_kb - prev.cpu_rss_kb : 0;
long gpu_delta = (now.gpu_used_mb >= 0 && prev.gpu_used_mb >= 0)
? now.gpu_used_mb - prev.gpu_used_mb : 0;
// Sign prefix so deltas are unambiguous
auto sign = [](long v) -> const char* { return v >= 0 ? "+" : ""; };
std::cout << GridLogMessage
<< std::setw(6) << iter
<< " CPU: " << std::setw(10) << now.cpu_rss_kb << " kB"
<< " (" << sign(cpu_delta) << std::setw(7) << cpu_delta << " kB)"
<< " GPU: " << std::setw(7) << now.gpu_used_mb << " MB"
<< " (" << sign(gpu_delta) << std::setw(5) << gpu_delta << " MB)"
<< "\n";
}
// ============================================================
int main(int argc, char **argv)
{
Grid_init(&argc, &argv);
int threads = GridThread::GetThreads();
std::cout << GridLogMessage
<< "Grid is setup to use " << threads << " threads" << std::endl;
// ------------------------------------------------------------------
// Grid setup — use whatever lattice/mpi/simd was passed on the CLI,
// e.g. --grid 8.8.8.8 --mpi 1.1.1.1
// ------------------------------------------------------------------
Coordinate latt_size = GridDefaultLatt();
Coordinate simd_layout = GridDefaultSimd(Nd, vComplexD::Nsimd());
Coordinate mpi_layout = GridDefaultMpi();
GridCartesian GRID(latt_size, simd_layout, mpi_layout);
int vol = 1;
for (int d = 0; d < (int)latt_size.size(); d++) vol *= latt_size[d];
std::cout << GridLogMessage << "Lattice : ";
for (int d = 0; d < Nd; d++) std::cout << latt_size[d] << " ";
std::cout << std::endl;
// ------------------------------------------------------------------
// Propagator field: SpinColourMatrix = 12x12 complex, i.e.
// LatticePropagatorD (= Lattice<iSpinColourMatrix<vComplexD>>).
// This is the standard QCD quark propagator type.
// ------------------------------------------------------------------
LatticePropagatorD prop(&GRID);
// ------------------------------------------------------------------
// Fill the propagator with a momentum-space plane wave,
// following the pattern from Test_fft.cc.
// We set each spin-colour component (a,b) to exp(i * sum_mu p_mu x_mu)
// with a fixed momentum p = (1,2,1,2).
// ------------------------------------------------------------------
Coordinate pvec({1, 2, 1, 2});
LatticeComplexD phase(&GRID);
LatticeComplexD coor(&GRID);
ComplexD ci(0.0, 1.0);
phase = Zero();
for (int mu = 0; mu < Nd; mu++) {
RealD TwoPiL = M_PI * 2.0 / latt_size[mu];
LatticeCoordinate(coor, mu);
phase = phase + (TwoPiL * pvec[mu]) * coor;
}
phase = exp(phase * ci); // e^{i p.x}
// Broadcast the phase into every spin-colour matrix entry
prop = Zero();
prop = prop + phase;
std::cout << GridLogMessage
<< "Propagator norm2 = " << norm2(prop) << std::endl;
// ------------------------------------------------------------------
// Baseline snapshot BEFORE PlannedFFT construction
// ------------------------------------------------------------------
MemSnapshot snap_before_plan = takeSnapshot();
std::cout << GridLogMessage
<< "[mem] Before PlannedFFT construction"
<< " CPU: " << snap_before_plan.cpu_rss_kb << " kB"
<< " GPU: " << snap_before_plan.gpu_used_mb << " MB"
<< std::endl;
// ------------------------------------------------------------------
// Create the PlannedFFT — plans are allocated here ONCE for all
// dimensions and stored inside the object.
// ------------------------------------------------------------------
PlannedFFT<iSpinColourMatrix<vComplexD>> plannedFFT(&GRID);
// ------------------------------------------------------------------
// Snapshot AFTER plan construction — this is the true baseline
// for the loop, because cufftPlanMany itself grabs device memory.
// ------------------------------------------------------------------
MemSnapshot snap_after_plan = takeSnapshot();
std::cout << GridLogMessage
<< "[mem] After PlannedFFT construction"
<< " CPU: " << snap_after_plan.cpu_rss_kb << " kB"
<< " GPU: " << snap_after_plan.gpu_used_mb << " MB"
<< " (plan overhead:"
<< " CPU +" << snap_after_plan.cpu_rss_kb - snap_before_plan.cpu_rss_kb << " kB"
<< " GPU +" << snap_after_plan.gpu_used_mb - snap_before_plan.gpu_used_mb << " MB)"
<< std::endl;
MemoryManager::Print();
// ------------------------------------------------------------------
// 400-iteration loop.
// Each iteration computes the full 4d forward FFT of `prop`.
// We deliberately do NOT cache the result — we always start from
// the same `prop` so the FFT is recomputed identically each time.
// The point is to watch memory, not correctness.
// ------------------------------------------------------------------
const int Niter = 40;
const int Niter2 = 32;
// Print header for the memory table
std::cout << GridLogMessage
<< "\n"
<< std::setw(6) << "iter"
<< " CPU: " << std::setw(10) << "RSS[kB]"
<< " ( delta )"
<< " GPU: " << std::setw(7) << "used[MB]"
<< " (delta)"
<< "\n";
MemSnapshot snap_prev = snap_after_plan;
for (int i = 0; i < Niter; i++) {
std::vector<LatticePropagatorD> G;
for (int j = 0; j < Niter2; j++) {
LatticePropagatorD prop_fft(&GRID);
// Full 4d forward FFT using the pre-built plans
plannedFFT.FFT_all_dim(prop_fft, prop, FFT::forward);
G.push_back(prop_fft);
}
// cudaMemGetInfo reflects the state *after* any pooled frees have
// been committed, so this is accurate without an explicit sync —
// FFT_dim_execute already calls accelerator_barrier() internally.
MemSnapshot snap_now = takeSnapshot();
printRow(i, snap_now, snap_prev);
MemoryManager::Print();
snap_prev = snap_now;
}
// ------------------------------------------------------------------
// Summary
// ------------------------------------------------------------------
MemSnapshot snap_final = takeSnapshot();
long cpu_growth = snap_final.cpu_rss_kb - snap_after_plan.cpu_rss_kb;
long gpu_growth = snap_final.gpu_used_mb - snap_after_plan.gpu_used_mb;
std::cout << GridLogMessage
<< "\n==== Memory summary (baseline = after plan construction) ====\n"
<< " CPU RSS growth over " << Niter << " FFTs : "
<< cpu_growth << " kB"
<< (cpu_growth == 0 ? " OK" : " *** GROWING ***") << "\n"
<< " GPU used growth over " << Niter << " FFTs : "
<< gpu_growth << " MB"
<< (gpu_growth == 0 ? " OK" : " *** GROWING ***") << "\n"
<< " Note: first-call watermark from pool fill is expected and benign.\n"
<< " A leak shows as continuous growth beyond iter ~2-3.\n";
Grid_finalize();
return 0;
}