Remove MRT from the FixedPatch2D rejection matrix (TRT and other rejections retained); convert host MRT tests to stdlib unittest; add GPU gates for unshifted dense-vs-blocked MRT two-level roots (exact bits) and a shifted all-blocked three-level MRT smoke checking per-level omega. No numerical source change. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
95 lines
5.4 KiB
Python
95 lines
5.4 KiB
Python
"""MRT reuse GPU gates. Caller owns GPU admission (CUDA_VISIBLE_DEVICES).
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Run: python -m unittest discover -s tests/validation/multigrid -p test_refinement_mrt_gpu.py
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Parity compares the blocked MRT channel root with uniform MRT OneStep: the existing
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pressure-NEQ outlet branch differs by collision model, so SRT is never the reference.
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AMR checks are finite-evolution/split-invariance smoke tests, not benchmark validation.
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"""
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from dataclasses import replace
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import unittest
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import numpy as np
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from CelerisLab.config import LBMConfig
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from CelerisLab.cuda.context import CudaContext
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from CelerisLab.lbm.population_storage import _encode_physical
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from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
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from test_channel_root_gpu import run_root, state
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from test_refinement_blocked_base import raw, exact
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class RefinementMRTGPU(unittest.TestCase):
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def test_uniform_matched_mrt_root(self):
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with CudaContext(0) as context:
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for shifted in (False, True):
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for profile in ("uniform", "parabolic"):
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cfg = LBMConfig(nx=24, ny=20, viscosity=.1, velocity=.025, collision="MRT",
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ddf_shifting=shifted, inlet_profile=profile)
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initial = _encode_physical(state(cfg.ny, cfg.nx), shifted)
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expected = run_root(cfg, context, initial)
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self.assertTrue(np.isfinite(expected).all())
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for block in ((20, 24), (5, 6), (4, 1)):
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np.testing.assert_array_equal(run_root(cfg, context, initial, block), expected)
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def test_amr_mrt_smoke(self):
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from CelerisLab.body.geometry.circle import CircleGeometry
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from CelerisLab.body.objects import SimObject
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center = (24., 16.)
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body = SimObject(0, geometry=CircleGeometry(*center, 2.15), center=center, radius=2.15)
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with CudaContext(0) as context:
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for boundary in ("periodic", "channel"):
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for shifted in (False, True):
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cfg = LBMConfig(nx=48, ny=32, viscosity=.1, velocity=.015 if boundary == "channel" else 0.,
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collision="MRT", ddf_shifting=shifted)
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reference = None
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for block in ((32, 48), (8, 8), (4, 1)):
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with FixedPatchStepper(cfg, (8, 6, 40, 26), context=context, coarse_boundary=boundary,
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base_block=block, fine_block=(8, 8), fine_objects=(body,)) as backend:
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backend.initialize(*[state(*level.shape[1:]) for level in backend._levels])
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backend.step(8)
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raw = backend._download_raw()
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for a, mask in zip(raw.values, backend._state):
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self.assertTrue(np.isfinite(a[:, mask]).all())
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if reference is None: reference = raw.values
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else:
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for a, b in zip(reference, raw.values): np.testing.assert_array_equal(a, b)
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def test_dense_versus_blocked_root_mrt_two_level(self):
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"""Unshifted MRT: dense root (PatchCoarseStep) vs blocked root (BlockStep), same fine blocks."""
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from test_refinement_blocked_base import BASE_BLOCKS, FINE_BLOCK
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from test_refinement_blocked_fine import NX, NY, BOUNDS
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import test_refinement_blocked_fine as fixture
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cfg = LBMConfig(nx=NX, ny=NY, viscosity=.1, collision="MRT")
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with CudaContext(0) as context:
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results = {}
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for base_block in (None, *BASE_BLOCKS):
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with FixedPatchStepper(cfg, BOUNDS, context=context, fine_block=FINE_BLOCK,
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base_block=base_block) as backend:
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backend.initialize(*[fixture.state(*level.shape[1:], seed) for seed, level in enumerate(backend._levels)])
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backend.step(4)
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results[base_block] = raw(backend)
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for base_block in BASE_BLOCKS:
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for level, (a, b) in enumerate(zip(results[base_block], results[None])):
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exact(self, a, b, f"base={base_block} level={level}")
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def test_shifted_all_blocked_three_level_mrt_smoke(self):
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"""Per-level shear rate omega_l = 1/(3*2**l*nu + 1/2); finite ACTIVE leaves."""
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cfg = LBMConfig(nx=16, ny=16, viscosity=.1, collision="MRT", ddf_shifting=True)
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kw = dict(fine_block=(4, 4), base_block=(4, 4), child=(8, 8, 16, 16), child_block=(4, 4))
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with CudaContext(0) as context:
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with FixedPatchStepper(cfg, (4, 4, 12, 12), context=context, **kw) as backend:
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self.assertEqual(len(backend._level_cfgs), 3)
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for level, level_cfg in enumerate(backend._level_cfgs):
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checked = replace(level_cfg)
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checked.validate() # omega is derived only by validate()
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self.assertEqual(checked.collision, "MRT")
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self.assertTrue(checked.ddf_shifting)
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self.assertTrue(np.isclose(checked.omega, 1 / (3 * 2**level * .1 + .5), rtol=1e-14))
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backend.initialize(*[state(*level.shape[1:]) for level in backend._levels])
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backend.step(4)
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values = backend._download_raw().values
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for a, mask in zip(values, backend._state):
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self.assertTrue(np.isfinite(a[:, mask]).all())
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if __name__ == "__main__": unittest.main()
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