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test: dense/blocked route parity gate and route capability matrix

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Test-only, on c6d5dc1. DenseBlockedRouteParity runs the same configuration,
initial state, body/Jet schedule and tilings on D/D [None, None], D/B
[None, FINE_BLOCK] and B/B [(12, 8), FINE_BLOCK], periodic and
slot/reservoir, for body-free, passive circle, actuated circle (+/-) and a
velocity Jet with an amplitude switch: every public and owner array must
match in FP32 bits and NaN masks at steps 0, 1, 2, 8 and after
re-initialize, and the D/B and B/B raw-exchange ledgers (last base step and
last substep) must be equal. No tolerance.

test_route_capability_matrix checks before CUDA what the dense route
rejects (raw exchange on a dense body level, shifted, projected, channel,
several L1 rectangles, depth >= 3 dense). The module docstring holds the
supported/unsupported table and the parked cases (MRT covered elsewhere,
shifted and depth >= 3 have no dense route, several bodies later).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
Claude
2026-10-27 10:06:38 +00:00
co-authored by Claude Opus 5.5
parent c6d5dc1cbc
commit 8db7cee9d5
1 changed files with 130 additions and 0 deletions
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tests/validation/multigrid/test_refinement_blocked_base.py
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@@ -2,6 +2,34 @@
Run CPU and GPU classes in separate processes. GPU callers must first check
resources/device availability; this file never selects or reserves a GPU.
Dense/blocked route parity (DenseBlockedRouteParity): the same configuration,
initial state, body/Jet schedule and tilings on three storage routes, only
level_blocks varying: D/D [None, None], D/B [None, FINE_BLOCK] (dense root,
the mixed pattern of current examples) and B/B [(12, 8), FINE_BLOCK]. Gate:
every public and owner array identical in FP32 bits and NaN masks at steps
0, 1, 2, 8 and after re-initialize; D/B and B/B raw-exchange ledgers equal.
No tolerance. A mismatch is reported with route pair/level/step and diagnosed
(boundary semantics vs arithmetic ordering), never widened.
Route capabilities (rejections checked before CUDA by test_route_capability_matrix):
combination D/D D/B B/B
periodic / slot_reservoir root, fine circle yes yes yes (parity gate)
actuated circle, velocity Jet + amplitude yes yes yes (parity gate)
raw/window exchange on a body level rejected yes yes
shifted storage rejected rejected yes
projected explosion rejected rejected yes
channel root rejected rejected yes
several L1 rectangles rejected rejected yes
depth >= 3 with a dense level rejected rejected yes
Slot/reservoir walls are compile-time WALL_* macros on a dense root and the
d_block_wall constant on a blocked root: BC-encoding parity, bit-identical by
this gate. Dense fine bodies use CurvedLinkSoA + CurvedBoundaryKernel
(n_objects > 0), blocked ones BlockCurvedBoundary; same links and physics,
compared through the population rows. Parked here: MRT (covered by
test_refinement_mrt_gpu::test_dense_versus_blocked_mrt_two_level), shifted and
depth >= 3 (no dense route to compare), several bodies (later slice).
"""
from contextlib import ExitStack, contextmanager, nullcontext
from dataclasses import replace
@@ -20,6 +48,7 @@ from CelerisLab.lbm.descriptors import D2Q9_EX, D2Q9_EY
from CelerisLab.lbm.refinement import ACTIVE, OUTER_GHOST, FixedPatch2D
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper, blocked_base_tables
from test_refinement_blocked_fine import NX, NY, BOUNDS, config, state, circle, actuation
from test_refinement_jets import SPEED, jet
BASE_BLOCKS = ((24, 32), (12, 8), (3, 4), (1, 1))
FINE_BLOCK = (16, 20)
@@ -324,5 +353,106 @@ class BlockedBaseGPU(unittest.TestCase):
print(f"PASS {label}: full finite bits/NaN masks at 0,1,2,8 + reset", flush=True)
ROUTES = (("D/D", [None, None]), ("D/B", [None, FINE_BLOCK]), ("B/B", [(12, 8), FINE_BLOCK]))
def same_summary(a, b):
"""Exact equality of nested exchange summaries (dicts, sequences, arrays, numbers)."""
if isinstance(a, dict):
return a.keys() == b.keys() and all(same_summary(a[k], b[k]) for k in a)
if isinstance(a, (list, tuple)):
return len(a) == len(b) and all(same_summary(x, y) for x, y in zip(a, b))
return np.array_equal(np.asarray(a), np.asarray(b), equal_nan=True)
class DenseBlockedRouteCPU(unittest.TestCase):
def test_route_capability_matrix(self):
context = Mock(activate=Mock(side_effect=AssertionError("CUDA reached")))
periodic = config("periodic")
inner = (BOUNDS[0] + 2, BOUNDS[1] + 2, BOUNDS[2] - 2, BOUNDS[3] - 2)
second = (BOUNDS[0], BOUNDS[1], BOUNDS[0] + 2, BOUNDS[1] + 2)
cases = (
("raw exchange on dense body level", periodic, dict(
level_blocks=[None, None], level_objects=[(), (circle(),)], observe_raw_exchange=True)),
("shifted D/D", replace(periodic, ddf_shifting=True), dict(level_blocks=[None, None])),
("shifted D/B", replace(periodic, ddf_shifting=True), dict(level_blocks=[None, FINE_BLOCK])),
("projected D/D", periodic, dict(level_blocks=[None, None], explosion="projected_linear")),
("projected D/B", periodic, dict(level_blocks=[None, FINE_BLOCK], explosion="projected_linear")),
("channel D/B", periodic, dict(level_blocks=[None, FINE_BLOCK], coarse_boundary="channel")),
("several L1 rectangles", periodic, dict(refinements=[[BOUNDS, second]], level_blocks=[None, None])),
("depth 3 dense", periodic, dict(refinements=[BOUNDS, inner], level_blocks=[None, None, None])),
)
for label, cfg, kw in cases:
kw.setdefault("refinements", [BOUNDS])
with self.subTest(label), self.assertRaises(ValueError):
FixedPatchStepper(cfg, context=context, **kw)
context.activate.assert_not_called()
class DenseBlockedRouteParity(unittest.TestCase):
"""D/D vs D/B vs B/B, unshifted SRT, one circle or one velocity Jet; see module docstring."""
def run_routes(self, mode, objects=(), jets=(), switch=None):
from CelerisLab.cuda.context import CudaContext
cfg = config(mode)
p = FixedPatch2D.from_config(cfg, BOUNDS)
arrays = state(NY, NX, 1), state(*p.fine_shape, 2)
results = {}
with CudaContext(0) as context:
for name, blocks in ROUTES:
observe = bool(objects) and blocks[1] is not None
snapshots, ledgers = [], []
with FixedPatchStepper(cfg, context=context, coarse_boundary=mode, refinements=[BOUNDS],
level_blocks=blocks, level_objects=[(), tuple(objects)],
level_jets=[(), tuple(jets)],
observe_raw_exchange=observe) as backend:
backend.initialize(*arrays)
for step in (0, 1, 2, 8):
if step == 8 and switch is not None:
backend.set_jet_amplitude(0, switch)
backend.step(step - backend.step_count)
snapshots.append(backend.download() + raw(backend))
if observe and step:
ledgers.append(tuple(backend.read_raw_exchange(0, window=window)
for window in ("last_base_step", "last_substep")))
backend.initialize(*arrays)
snapshots.append(backend.download() + raw(backend))
results[name] = snapshots, ledgers
return results
def check(self, label, results):
reference, _ = results["D/D"]
for name in ("D/B", "B/B"):
for step, actual, expected in zip((0, 1, 2, 8, "reset"), results[name][0], reference):
for index, (a, b) in enumerate(zip(actual, expected)):
exact(self, a, b, f"{label} {name} vs D/D step={step} array={index}")
if results["D/B"][1]:
for step, a, b in zip((1, 2, 8), results["D/B"][1], results["B/B"][1]):
self.assertTrue(same_summary(a, b), f"{label} raw exchange D/B vs B/B step={step}")
for name, (snapshots, _) in results.items():
masses = [float(np.nansum(level.astype(np.float64))) for level in snapshots[3][:2]]
print(f"{label} {name}: step 8 mass by level {masses}", flush=True)
print(f"PASS {label}: D/D = D/B = B/B bits/NaN masks at 0,1,2,8 + reset", flush=True)
def test_body_free(self):
for mode in ("periodic", "slot_reservoir"):
self.check(f"{mode} body-free", self.run_routes(mode))
def test_passive_circle(self):
for mode in ("periodic", "slot_reservoir"):
self.check(f"{mode} circle", self.run_routes(mode, objects=[circle()]))
def test_actuated_circle(self):
for mode in ("periodic", "slot_reservoir"):
for speed in (SPEED, -SPEED):
self.check(f"{mode} actuated {speed}",
self.run_routes(mode, objects=[circle(actuation(speed))]))
def test_velocity_jet_with_amplitude_switch(self):
for mode in ("periodic", "slot_reservoir"):
self.check(f"{mode} jet switch",
self.run_routes(mode, objects=[circle()], jets=[jet()], switch=-SPEED))
if __name__ == "__main__":
unittest.main()