ClaudeandClaude Opus 5.5
442979b4db
- _exchange_spacing/_exchange_centers (two more per-level lists, only read for levels that have a boundary) become _BlockedBoundary.spacing/centers. - _level_blocks dropped: remap_finest reads each layout's own .block. - _device_boundaries -> _boundaries: the record holds host geometry, tables, Jets and device handles, so 'device' was misleading (the old host-only _boundaries list no longer exists). Tests migrated mechanically. Remaining per-level lists (_layouts, _level_cfgs, _leaf, _state, _boundaries) are the immutable construction plan, built before the memory preflight and kept after close; _levels holds device handles only and is cleared on close. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
163 lines
8.1 KiB
Python
163 lines
8.1 KiB
Python
"""CPU reduction and real host scheduling with CUDA doubles, not GPU physics."""
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from contextlib import nullcontext
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from dataclasses import replace
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from unittest.mock import Mock
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import numpy as np
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import unittest
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from CelerisLab.body.geometry.circle import CircleGeometry
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from CelerisLab.body.objects import SimObject, SurfaceActuation
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from CelerisLab.config import LBMConfig
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from CelerisLab.lbm.blocks import BlockLayout2D
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from CelerisLab.lbm.refinement import FixedPatch2D, prepare_fine_boundary
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from CelerisLab.lbm.refinement_tables import _prepare_blocked_boundary
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from CelerisLab.lbm.raw_exchange import summarize_exchange
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from tests.unit.test_refinement_three_level_multipatch import host_module
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def body(center=(16., 16.), radius=.5, speed=0.):
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return SimObject(91, geometry=CircleGeometry(*center, radius), center=center, radius=radius,
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surface_actuation=SurfaceActuation(.7, .85, speed))
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def backend(observe=True, obj=None):
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host = host_module()
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calls = []
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module = Mock()
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module.get_global.return_value = (Mock(), 20)
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module.get_function.side_effect = lambda name: Mock(side_effect=lambda *a, **k: calls.append((name, a, k)))
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host.compiler.build_module.return_value = module
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host.cuda.mem_alloc.side_effect = lambda n: Mock(size=n)
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host.cuda.memcpy_dtoh.side_effect = lambda array, pointer: array.fill(0)
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ctx = Mock(activate=nullcontext, sm_arch='sm_70')
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run = host.FixedPatchStepper(LBMConfig(nx=48, ny=48, viscosity=.02), context=ctx,
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refinements=[[(6, 6, 26, 26)], [(20, 20, 44, 44)], [(56, 56, 72, 72)]],
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level_blocks=[(4, 4)]*4, level_objects=[(), (), (), (body() if obj is None else obj,)],
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observe_raw_exchange=observe)
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arrays = [np.full(l.shape, 1/9, np.float32) for l in run._levels]
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run.initialize(*arrays)
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return run, host, calls, arrays
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class RawExchange(unittest.TestCase):
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def _check_weights_split_and_window(self, level):
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h = 2. ** -level
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rows = np.array([[2, -3, 5, 7], [-1, 4, -2, -6], [99, 99, 99, 99]], np.float32)
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kw = dict(body_id=0, level=level, h=h, time_end=3, reference_center=(7, 8))
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last = summarize_exchange(rows, [0, 0, 1], [False, True, False], window='last_substep', **kw)
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integral = rows.astype(float)*[h*h, h*h, h**3, h*h]/h
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full = summarize_exchange(integral, [0, 0, 1], [False, True, False], window='last_base_step', **kw)
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np.testing.assert_array_equal(last['total']['force'], np.array([1, 1])*h)
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self.assertEqual(last['total']['torque'], 3 * h * h)
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self.assertEqual(last['total']['mass_into_fluid'], h * h)
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for name in ('force', 'torque', 'mass_rate'):
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np.testing.assert_array_equal(last['total'][name], full['total'][name])
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for name in ('force', 'impulse', 'torque', 'angular_impulse', 'mass_into_fluid'):
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np.testing.assert_array_equal(last['total'][name],
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np.asarray(last['wall'][name])+last['aperture'][name])
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self.assertEqual(last['time_start'], 3 - h)
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self.assertEqual(full['time_start'], 2)
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self.assertEqual(last['sample_count'], 1)
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self.assertEqual(full['sample_count'], 2 ** level)
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self.assertEqual(full['reference_center'], (7, 8))
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def test_final_substep_is_not_interval_mean(self):
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kw = dict(body_id=0, level=1, h=.5, time_end=1, reference_center=(0, 0))
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last = summarize_exchange([[4, 0, 0, 0]], [0], [False], window='last_substep', **kw)
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full = summarize_exchange([[1.5, 0, 0, 0]], [0], [False], window='last_base_step', **kw)
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self.assertEqual(last['total']['force'][0], 2)
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self.assertEqual(full['total']['force'][0], 1.5)
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def test_host_metadata_zero_jet_and_rows(self):
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cfg = LBMConfig(nx=32, ny=32, viscosity=.1)
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pair = FixedPatch2D.from_config(cfg, (4, 4, 28, 28))
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boundary = prepare_fine_boundary(cfg, pair, [body(radius=2.15)])
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local = replace(cfg, nx=pair.fine_shape[1], ny=pair.fine_shape[0], viscosity=.2)
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local.validate()
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layout = BlockLayout2D.build(*pair.fine_shape, 8, 8, periodic=(False, False))
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b = _prepare_blocked_boundary(boundary, layout, local, ())
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for key, idx in [('body_id', 3), ('rx', 4), ('ry', 5)]:
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np.testing.assert_array_equal(b.tables[key], boundary.curved_host[idx])
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self.assertTrue(b.tables['aperture'].any())
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self.assertTrue((~b.tables['aperture']).any())
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self.assertFalse(b.tables['surface_velocity'].any())
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# Classification does not disappear when prescribed velocity is zero.
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self.assertEqual(len(b.tables['cell']), len(boundary.curved_host[0]))
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def test_four_level_schedule_publication_and_fixed_storage(self):
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run, host, calls, arrays = backend()
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b = run._boundaries[3]
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rows = len(b.tables['cell'])
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self.assertEqual(b.last_raw.size, rows * 16)
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self.assertEqual(b.interval_integral.size, rows * 32)
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with self.assertRaisesRegex(RuntimeError, 'completed'):
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run.read_raw_exchange(0, level=3)
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run.step()
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names = [name for name, _, _ in calls]
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self.assertEqual(names.count('BlockAccumulateExchange'), 8)
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for i, (name, args, kw) in enumerate(calls):
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if name == 'BlockAccumulateExchange':
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self.assertEqual(names[i - 1], 'BlockCurvedBoundary')
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self.assertEqual(names[i + 1], 'BlockStep')
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self.assertIs(args[0], b.last_raw)
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self.assertIs(args[1], b.interval_integral)
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self.assertEqual(args[3:], (0.125, 0.125))
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self.assertIs(kw['stream'], run._stream)
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self.assertEqual(host.cuda.memset_d8_async.call_count, 1)
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value = run.read_raw_exchange(0, level=3)
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self.assertEqual(value['sample_count'], 8)
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self.assertEqual(value['time_start'], 0)
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run.step(0)
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self.assertEqual(run.read_raw_exchange(0, level=3)['time_end'], 1)
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self.assertEqual(run.read_raw_exchange(0, level=3, window='last_substep')['time_start'], 0.875)
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run.step(2)
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self.assertEqual(run.read_raw_exchange(0, level=3)['time_start'], 2)
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run.initialize(*arrays)
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with self.assertRaisesRegex(RuntimeError, 'completed'):
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run.read_raw_exchange(0, level=3)
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run.close()
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def test_torque_reference_uses_geometry_center_not_optional_object_center(self):
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for center in (None, (3., 4.)):
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obj = SimObject(91, geometry=CircleGeometry(16., 16., .5), center=center, radius=.5)
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run, _, _, _ = backend(obj=obj)
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run.step()
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result = run.read_raw_exchange(0, level=3)
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self.assertEqual(result['reference_center'], (16.0, 16.0))
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self.assertNotEqual(result['reference_center'], tuple(obj.center))
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run.close()
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def test_disabled_has_nulls_and_no_observation_allocation_or_launch(self):
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run, host, calls, _ = backend(False)
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b = run._boundaries[3]
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self.assertIs(b.last_raw, b.interval_integral)
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self.assertIs(b.interval_integral, None)
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run.step()
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for name, args, _ in calls:
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if name == 'BlockCurvedBoundary':
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self.assertEqual(tuple(args[8:]), (0, 0, 0))
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self.assertTrue(all((n != 'BlockAccumulateExchange' for n, _, _ in calls)))
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host.cuda.memset_d8_async.assert_not_called()
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with self.assertRaisesRegex(RuntimeError, 'disabled'):
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run.read_raw_exchange(0, level=3)
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run.close()
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def test_failed_sync_never_publishes_partial_interval(self):
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run, host, calls, _ = backend()
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run.step()
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run._stream.synchronize.side_effect = RuntimeError('device failure')
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with self.assertRaisesRegex(RuntimeError, 'device failure'):
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run.step()
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self.assertFalse(run._exchange_valid)
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with self.assertRaisesRegex(RuntimeError, 'failed'):
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run.read_raw_exchange(0, level=3)
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run._stream.synchronize.side_effect = None
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run.close()
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def test_all_depth_weights(self):
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for level in (1, 2, 3, 7):
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self._check_weights_split_and_window(level)
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if __name__ == "__main__":
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unittest.main()
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