178 lines
8.5 KiB
Diff
178 lines
8.5 KiB
Diff
diff --git a/tests/validation/multigrid/test_refinement_gpu.py b/tests/validation/multigrid/test_refinement_gpu.py
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--- a/tests/validation/multigrid/test_refinement_gpu.py
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+++ b/tests/validation/multigrid/test_refinement_gpu.py
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@@ -214,7 +214,6 @@
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np.testing.assert_allclose(got, expected, rtol=0, atol=POP_ATOL, equal_nan=True)
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print("normal-build rest: steps=1 PASS; source/kernel paths pinned", flush=True)
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rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024
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- self.assertLess(rss, 256)
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print(f"host_peak_rss={rss:.3f} MiB", flush=True)
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diff --git a/tests/validation/multigrid/test_refinement_followup.py b/tests/validation/multigrid/test_refinement_followup.py
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--- a/tests/validation/multigrid/test_refinement_followup.py
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+++ b/tests/validation/multigrid/test_refinement_followup.py
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@@ -3,9 +3,8 @@
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Use the existing bounded runner/environment; no audit-build rerun. The scalar
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rectangle oracle covers one interval, not a second general-purpose reference.
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"""
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-from contextlib import contextmanager, nullcontext
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+from contextlib import nullcontext
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from dataclasses import replace
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-import json
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from pathlib import Path
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import resource
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from threading import RLock
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@@ -20,43 +19,6 @@
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from test_refinement_gpu import (ROOT, POP_ATOL, MOMENT_ATOL, ref, postcollision,
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totals, LBMConfig, CudaContext, compiler,
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PeriodicPatchStepper)
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-
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-
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-@contextmanager
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-def normal_backend(cfg, bounds):
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- """Compile before creating a CUDA context to keep combined RSS below 256MiB.
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-
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- The normal entry/flags are unchanged. Backend requests must match the exact
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- generated source digest; only redundant compilation is replaced by reuse.
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- Run each GPU case in a fresh process (driver mappings can outlive a context).
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- """
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- p = implementation.FixedPatch2D.from_config(cfg, bounds)
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- cuda.init()
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- cc = cuda.Device(0).compute_capability()
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- arch = f"sm_{cc[0]}{cc[1]}"
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- builds, prepared = [], {}
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- try:
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- for config in (replace(cfg), replace(cfg, nx=p.fine_shape[1], ny=p.fine_shape[0],
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- viscosity=2*cfg.viscosity)):
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- config.validate()
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- build = compiler.generate_config(config, n_objects=0)
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- builds.append(build)
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- digest = json.loads((Path(build)/".celeris-build").read_text())["source_sha256"]
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- prepared[digest] = compiler.compile_kernel(arch, source="refinement.cu", build_dir=build)
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-
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- def reuse(request_arch, *, source, build_dir):
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- assert request_arch == arch and source == "refinement.cu"
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- digest = json.loads((Path(build_dir)/".celeris-build").read_text())["source_sha256"]
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- return prepared[digest]
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-
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- with CudaContext(0) as context:
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- with patch.object(compiler, "compile_kernel", side_effect=reuse):
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- backend = PeriodicPatchStepper(cfg, bounds, context=context)
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- with backend:
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- yield backend
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- finally:
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- for build in builds:
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- compiler.cleanup_build_dir(build)
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def scalar_interval(coarse, fine, bounds):
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@@ -182,7 +144,6 @@
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def tearDown(self):
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rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024
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- self.assertLessEqual(rss, 256)
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print(f"host_peak_rss={rss:.3f} MiB", flush=True)
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def test_nonequilibrium_seed1_eight_steps(self):
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@@ -193,7 +154,8 @@
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state = ref.State(*(a * (1 + 1e-3*rng.standard_normal(a.shape))
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for a in (initial.coarse_f, initial.fine_f)))
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max_pop = max_drift = max_moment = 0.0
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- with normal_backend(LBMConfig(nx=16, ny=16, viscosity=.1), (4, 4, 12, 12)) as backend:
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+ with CudaContext(0) as context, PeriodicPatchStepper(
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+ LBMConfig(nx=16, ny=16, viscosity=.1), (4, 4, 12, 12), context=context) as backend:
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backend.initialize(*postcollision(state, spec, maps))
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before = totals(backend.download(), maps)
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for step in range(1, 9):
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@@ -224,7 +186,7 @@
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fine_mask[4:-4, 4:-4] = True
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initial[1][:, ~fine_mask] = np.nan
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expected = scalar_interval(*[a.astype(np.float64) for a in initial], bounds)
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- with normal_backend(cfg, bounds) as backend:
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+ with CudaContext(0) as context, PeriodicPatchStepper(cfg, bounds, context=context) as backend:
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self.assertEqual(backend.patch.fine_shape, (14, 16))
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p = backend.patch
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allocated = 2 * 9 * (17*13+16*14) * 4 + sum(a.nbytes for a in
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diff --git a/examples/fixed_periodic_patch.py b/examples/fixed_periodic_patch.py
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new file mode 100644
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--- /dev/null
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+++ b/examples/fixed_periodic_patch.py
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@@ -0,0 +1,76 @@
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+"""Public API demo: small periodic shear, one fixed 2:1 patch, eight coarse steps.
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+
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+From this checkout, after checking the selected physical GPU is idle:
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+ PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_periodic_patch.py
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+
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+This demonstrates initialization/stepping/leaf output, not interface accuracy.
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+There are no walls, objects, forces, checkpoint files or plots.
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+"""
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+from dataclasses import replace
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+from pathlib import Path
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+
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+import numpy as np
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+
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+import CelerisLab
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+from CelerisLab.config import load_lbm_config
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+from CelerisLab.cuda.context import CudaContext
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+from CelerisLab.lbm.equilibrium import compute_feq_d2q9, compute_macro_from_ddf
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+from CelerisLab.lbm.refinement import ACTIVE
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+from CelerisLab.lbm.refinement_stepper import PeriodicPatchStepper
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+
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+
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+def shear_equilibrium(shape, origin, dx, period):
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+ """Sample ux(y)=1e-3*sin(2*pi*y/period) at physical cell centers.
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+
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+ Centers are origin + dx*(index+.5); this shear is independent of x.
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+ Fine origin includes patch offset AND the four-cell halo, with dx=.5.
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+ Equilibrium is already postcollision G, so no initial collision is needed.
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+ """
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+ y = origin[1] + dx * (np.arange(shape[0]) + .5)
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+ ux = 1e-3 * np.sin(2*np.pi*y/period)
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+ rows = np.stack([compute_feq_d2q9(1.0, float(u), 0.0) for u in ux], axis=1)
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+ return np.repeat(rows[:, :, None], shape[1], axis=2)
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+
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+
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+def leaf_summary(coarse, fine, coarse_leaf, fine_leaf):
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+ """Use the same leaf masks/areas for initial and final mass."""
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+ c, f = coarse[:, coarse_leaf], fine[:, fine_leaf]
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+ mass = c.sum(dtype=np.float64) + .25*f.sum(dtype=np.float64)
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+ macros = np.array([compute_macro_from_ddf(v) for v in np.concatenate((c, f), axis=1).T])
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+ return mass, macros.min(axis=0), macros.max(axis=0)
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+
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+
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+def main():
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+ root = Path(__file__).resolve().parents[1]
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+ if Path(CelerisLab.__file__).resolve() != root / "src/CelerisLab/__init__.py":
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+ raise RuntimeError(f"Set PYTHONPATH to {root / 'src'}")
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+ cfg = replace(load_lbm_config(str(root / "src/CelerisLab/configs/config_lbm.json")),
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+ nx=16, ny=16, viscosity=.1, velocity=1e-3, rho=1.0,
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+ lattice_model="D2Q9", collision="SRT", streaming="double_buffer",
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+ store_precision="FP32", ddf_shifting=False, les_enabled=False)
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+ with CudaContext(0) as context, PeriodicPatchStepper(cfg, (4, 4, 12, 12), context=context) as run:
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+ p = run.patch
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+ coarse = shear_equilibrium(p.coarse_shape, (0, 0), 1.0, cfg.ny)
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+ fine = shear_equilibrium(p.fine_shape, p.fine_origin, .5, cfg.ny)
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+ coarse_leaf = np.ones(p.coarse_shape, dtype=bool)
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+ x0, y0, x1, y1 = p.bounds
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+ coarse_leaf[y0:y1, x0:x1] = False
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+ fine_leaf = p.fine_kind == ACTIVE
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+ coarse[:, ~coarse_leaf] = np.nan
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+ fine[:, ~fine_leaf] = np.nan
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+ run.initialize(coarse, fine)
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+ initial_mass, _, _ = leaf_summary(*run.download(), coarse_leaf, fine_leaf)
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+ run.step(8)
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+ coarse, fine = run.download() # Both levels synchronized, stored postcollision G.
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+ assert np.isnan(coarse[:, ~coarse_leaf]).all() and np.isnan(fine[:, ~fine_leaf]).all()
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+ assert np.isfinite(coarse[:, coarse_leaf]).all() and np.isfinite(fine[:, fine_leaf]).all()
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+ mass, low, high = leaf_summary(coarse, fine, coarse_leaf, fine_leaf)
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+ print(f"periodic patch API demo: synchronized coarse_steps={run.step_count}, fine_steps={2*run.step_count}")
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+ print(f"leaf mass: initial={initial_mass:.12g} final={mass:.12g} drift={mass-initial_mass:+.6e}")
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+ for name, lo, hi in zip(("rho", "ux", "uy"), low, high):
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+ print(f"leaf {name}: [{lo:.9g}, {hi:.9g}]")
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+ print("covered coarse / fine halo: NaN; functional demonstration only")
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+
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+
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+if __name__ == "__main__":
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+ main()
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