ClaudeandClaude Opus 5.5
104f74632f
- test_exchange_window and test_raw_exchange_gpu fine(): dense root becomes a (12, 8) blocked root (fine(None) stays only for the dense reference test that D2 retires); - jets: G1/G3 compare blocked layouts against the FINE_BLOCKS[0] reference (blocked root); the dense run is a separate leg D2 removes; G2 legacy actuation vs Jet on the blocked reference; CPU fixtures use a blocked root; - test_refinement_blocked_fine.raw reads every level through its layout; - test_fine_surface_gpu: new test_fine_surface_blocked_matches_uniform_four_hops (fine ROI after each of four hops vs the uniform 48^2 solver with the same tolerances, blowing/suction mass sign from raw exchange, zero actuation == passive bit for bit); the cross-interface donor rejection passes tiles. The dense hook/ledger/audit probes in test_fine_surface_four_hops and the dense SoA fault tests stay until D2 retires them by name. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
219 lines
12 KiB
Python
219 lines
12 KiB
Python
"""Jets on the FixedPatchStepper fine level: CPU wiring checks plus GPU gates.
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Jets use the same coarse cell-edge frame as fine_objects. The equivalent jet
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of Astra's actuated fixture is SurfaceActuation(0.7, 0.85, U).as_jet((16, 12),
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2.15). Frozen GPU gates (8 coarse steps, both coarse boundary modes):
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G1 jet run: 1x1/2x2/4x2 fine blocks (blocked (12, 8) root) bit-identical to the
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FINE_BLOCKS[0] reference (values + NaN masks); dense leg kept until dense retirement;
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G2 jet vs legacy actuation (blocked reference): max |dG| over finite fine ACTIVE fluid
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populations <= 1e-6 (velocity rows differ only by FP32 rounding; reported);
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G3 amplitude change after 4 steps (+U -> -U), 4 more steps: blocked layouts
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bit-identical to the FINE_BLOCKS[0] reference (dense leg until retirement) and the
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run differs from the unchanged run.
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"""
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from contextlib import nullcontext
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import unittest
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from unittest.mock import Mock, patch
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import numpy as np
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import pycuda.driver as cuda
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from CelerisLab.cuda import compiler
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from CelerisLab.lbm.descriptors import SOLID
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from CelerisLab.lbm.refinement import ACTIVE, FixedPatch2D, prepare_fine_boundary
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from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
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from test_refinement_blocked_fine import (BOUNDS, FINE_BLOCKS, NX, NY, STEPS, actuation,
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circle, config, fine_circle, raw, state)
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SPEED = .002
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def root_and(fine_block):
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"""All-blocked levels with a (12, 8) root tile; fine_block None is the dense route."""
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return [None if fine_block is None else (12, 8), fine_block]
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def jet(speed=SPEED):
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return actuation(speed).as_jet((16.0, 12.0), 2.15)
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def mocked(objects, jets, fine_block):
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"""Real constructor with driver doubles; returns backend and the memcpy mock."""
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context = Mock(activate=nullcontext, sm_arch="sm_70")
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module = Mock(get_function=Mock(return_value=Mock()))
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module.get_global.return_value = (Mock(), 20)
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htod = Mock()
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with patch.object(cuda, "Stream"), patch.object(cuda, "mem_get_info", return_value=(1 << 40, 1 << 40)), patch.object(compiler, "generate_config"), \
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patch.object(compiler, "compile_kernel"), patch.object(compiler, "cleanup_build_dir"), \
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patch.object(compiler, "load_module", return_value=module), \
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patch.object(cuda, "mem_alloc", side_effect=lambda size: Mock()), \
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patch.object(cuda, "memcpy_htod", htod):
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backend = FixedPatchStepper(config("periodic"), context=context, refinements=[BOUNDS],
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level_blocks=root_and(fine_block), level_objects=[(), tuple(objects)],
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level_jets=[(), tuple(jets)])
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return backend, htod
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class JetStepperCPU(unittest.TestCase):
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def test_one_body_across_blocks_accepted(self):
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# Fine circle (19.5, 15.5) R4.3 crosses the 2x2 block seams; one body, one jet.
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import math
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from CelerisLab.body.jets import Jet, Radial, Sector
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C = (16.0, 12.0)
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whole = Jet(Sector(C, .1, math.pi, 3.), Radial(C, inward=False), amplitude=0.)
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backend, _ = mocked([circle()], [whole], FINE_BLOCKS[1])
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_, jet_id = backend._jet_cache
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self.assertGreater(len(np.unique(backend._fine_tables["block"][jet_id == 0])), 1)
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backend.close()
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def test_fine_ownership_uses_remapped_physical_owner(self):
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# Caller ids (99, 7) are remapped to fine owners (0, 1); block ids never count.
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import math
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from CelerisLab.body.geometry.circle import CircleGeometry
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from CelerisLab.body.jets import Jet, Parallel, Radial, Sector, Tube
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from CelerisLab.body.objects import SimObject
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C = (16.0, 12.0)
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source = SimObject(99, geometry=CircleGeometry(*C, 2.15), center=C, radius=2.15)
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whole = Jet(Sector(C, .1, math.pi, 3.), Radial(C, inward=False), amplitude=0.)
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backend, _ = mocked([source], [whole], FINE_BLOCKS[1])
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_, jet_id = backend._jet_cache
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owners = backend.fine_boundary.curved_host[3][jet_id == 0]
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self.assertEqual(np.unique(owners).tolist(), [0])
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self.assertGreater(len(np.unique(backend._fine_tables["block"][jet_id == 0])), 1)
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self.assertEqual(source.obj_id, 99)
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backend.close()
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cfg = config("periodic")
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patch_ = FixedPatch2D.from_config(cfg, BOUNDS)
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A, B = (12.5, 12.0), (19.5, 12.0)
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pair = [SimObject(i, geometry=CircleGeometry(*c, 1.5), center=c, radius=1.5)
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for i, c in ((99, A), (7, B))]
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for amplitude in (0., .002):
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with self.assertRaisesRegex(ValueError, "one jet may drive only one body"):
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prepare_fine_boundary(cfg, patch_, pair,
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jets=[Jet(Tube((9., 12.), 0., 14., .5), Parallel(0.),
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amplitude=amplitude)])
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self.assertEqual([o.obj_id for o in pair], [99, 7])
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def test_blocked_jet_velocity_matches_legacy_rows(self):
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legacy, _ = mocked([circle(actuation(SPEED))], (), FINE_BLOCKS[1])
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driven, _ = mocked([circle()], [jet()], FINE_BLOCKS[1])
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a = legacy._fine_tables["surface_velocity"]
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b = driven._fine_tables["surface_velocity"]
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diff = np.abs(a - b).max()
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print(f"fine jet vs legacy velocity rows: max |dU| = {diff:.3e} (exact={diff == 0})")
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self.assertLessEqual(diff, 4 * np.finfo(np.float32).eps * SPEED)
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legacy.close(), driven.close()
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def test_blocked_amplitude_update_rewrites_only_velocity_column(self):
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backend, htod = mocked([circle()], [jet()], FINE_BLOCKS[1])
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before = backend._fine_tables["surface_velocity"].copy()
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device = backend._link_tables["surface_velocity"]
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with patch.object(cuda, "memcpy_htod", htod):
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htod.reset_mock()
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backend.set_jet_amplitude(0, -SPEED)
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(ptr, sent), _ = htod.call_args
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self.assertEqual(htod.call_count, 1)
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self.assertIs(ptr, device)
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np.testing.assert_allclose(sent, -before, rtol=1e-6, atol=0)
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np.testing.assert_array_equal(backend._fine_tables["surface_velocity"], sent)
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with self.assertRaises(ValueError):
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backend.set_jet_amplitude(0, 1.5)
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self.assertEqual(htod.call_count, 1)
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self.assertEqual(backend._jets[0].amplitude, -SPEED)
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backend.close()
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def test_copy_failure_marks_failed_and_keeps_host_amplitude(self):
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for fine_block in (None, FINE_BLOCKS[1]): # dense SoA and blocked tables
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backend, _ = mocked([circle()], [jet()], fine_block)
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status = backend._status
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for bad, error in ((1.5, ValueError), (float("nan"), ValueError)):
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with self.assertRaises(error):
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backend.set_jet_amplitude(0, bad)
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self.assertEqual(backend._status, status) # invalid input stays usable
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with self.assertRaises(IndexError):
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backend.set_jet_amplitude(1, -SPEED)
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self.assertEqual(backend._status, status)
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dense = backend._fine_curved
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before = (dense.surface_velocity if dense is not None
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else backend._fine_tables["surface_velocity"]).copy()
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boom = Mock(side_effect=RuntimeError("copy failed"))
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with patch.object(cuda, "memcpy_htod", boom), patch.object(cuda, "memcpy_htod_async", boom), \
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patch.object(cuda, "pagelocked_empty", side_effect=lambda shape, dtype: np.empty(shape, dtype)):
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with self.assertRaisesRegex(RuntimeError, "copy failed"):
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backend.set_jet_amplitude(0, -SPEED)
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self.assertEqual(backend._status, "failed", fine_block)
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self.assertEqual(backend._jets[0].amplitude, SPEED)
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if dense is not None:
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self.assertEqual(dense.jets[0].amplitude, SPEED)
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np.testing.assert_array_equal(dense.surface_velocity, before)
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else:
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np.testing.assert_array_equal(backend._fine_tables["surface_velocity"], before)
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with self.assertRaisesRegex(RuntimeError, "failed"):
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backend.step(1)
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with self.assertRaisesRegex(RuntimeError, "failed"):
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backend.set_jet_amplitude(0, -SPEED)
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backend.close()
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def test_jet_overlapping_legacy_aperture_rejected_before_cuda(self):
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with patch.object(cuda, "Stream", side_effect=AssertionError("CUDA touched")):
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with self.assertRaisesRegex(ValueError, "SurfaceActuation"):
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FixedPatchStepper(config("periodic"), context=Mock(), refinements=[BOUNDS],
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level_objects=[(), (circle(actuation(SPEED)),)],
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level_jets=[(), (jet(),)])
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def run(mode, fine_block, *, objects, jets, switch=None):
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from CelerisLab.cuda.context import CudaContext
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cfg = config(mode)
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patch_ = FixedPatch2D.from_config(cfg, BOUNDS)
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with CudaContext(0) as context, FixedPatchStepper(
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cfg, context=context, coarse_boundary=mode, refinements=[BOUNDS],
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level_blocks=root_and(fine_block), level_objects=[(), tuple(objects)],
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level_jets=[(), tuple(jets)]) as backend:
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backend.initialize(state(NY, NX, 1), state(*patch_.fine_shape, 2))
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if switch is None:
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backend.step(STEPS)
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else:
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backend.step(STEPS // 2)
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backend.set_jet_amplitude(0, switch)
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backend.step(STEPS - STEPS // 2)
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return backend.download(), raw(backend)
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class JetStepperGPU(unittest.TestCase):
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def test_g1_g2_jet_layouts_identical_and_close_to_legacy(self):
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for mode in ("periodic", "slot_reservoir"):
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patch_, boundary = fine_circle(mode)
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fluid = (patch_.fine_kind == ACTIVE) & (
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(boundary.flags.reshape(patch_.fine_shape) & SOLID) == 0)
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reference = run(mode, FINE_BLOCKS[0], objects=[circle()], jets=[jet()])
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self.assertTrue(np.isfinite(reference[1][1][:, fluid]).all(), mode)
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for fine_block in FINE_BLOCKS[1:]:
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public, raw_arrays = run(mode, fine_block, objects=[circle()], jets=[jet()])
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for a, b in zip(public + tuple(raw_arrays), reference[0] + tuple(reference[1])):
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np.testing.assert_array_equal(a, b, err_msg=f"G1 {mode} {fine_block}")
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dense = run(mode, None, objects=[circle()], jets=[jet()]) # dense leg (D2 retires)
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for a, b in zip(dense[0] + tuple(dense[1]), reference[0] + tuple(reference[1])):
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np.testing.assert_array_equal(a, b, err_msg=f"G1 {mode} dense")
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legacy = run(mode, FINE_BLOCKS[0], objects=[circle(actuation(SPEED))], jets=())
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diff = np.abs(reference[1][1][:, fluid] - legacy[1][1][:, fluid]).max()
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print(f"G2 {mode}: jet vs legacy fine max |dG| = {diff:.3e}", flush=True)
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self.assertLessEqual(diff, 1e-6, mode)
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def test_g3_amplitude_switch_layouts_identical(self):
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for mode in ("periodic", "slot_reservoir"):
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reference = run(mode, FINE_BLOCKS[0], objects=[circle()], jets=[jet()], switch=-SPEED)
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steady = run(mode, FINE_BLOCKS[0], objects=[circle()], jets=[jet()])
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self.assertFalse(np.array_equal(reference[1][1], steady[1][1], equal_nan=True), mode)
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for fine_block in (*FINE_BLOCKS[1:], None): # None: dense leg (D2 retires)
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public, raw_arrays = run(mode, fine_block, objects=[circle()], jets=[jet()],
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switch=-SPEED)
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for a, b in zip(public + tuple(raw_arrays), reference[0] + tuple(reference[1])):
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np.testing.assert_array_equal(a, b, err_msg=f"G3 {mode} {fine_block}")
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print(f"G3 {mode}: amplitude switch, {len(FINE_BLOCKS) - 1} layouts + dense "
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f"identical to {FINE_BLOCKS[0]}", flush=True)
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if __name__ == "__main__":
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unittest.main()
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