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