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ClaudeandClaude Opus 5.5 caa573f978 test: adopt native-validated 24-target probe layout
Horizontal y=56 and vertical x=38 through box 1, normal coordinates
[12.5..26.125] (root128 physical). Nearest-ACTIVE mapping with
deterministic tie rule (distance, finer level, smaller j, smaller i),
duplicate-cell rejection, stored centers and displacements. Replaces my
earlier offsets, which mapped two target pairs to the same U128 cell.
U512 spacing 128/512 and root step r -> U512 step 4r unchanged.
Tests: 24 unique cells per case, nested 3 L0 + 5 L1 + 4 L2 per transect,
U128 max displacement 0.625.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 03:13:43 +00:00
ClaudeandClaude Opus 5.5 1e188e7419 test: signed interface-probe trace diagnostic (--probe-trace)
Test-only mechanism diagnostic, no pass gates. New pinned shear_probes.py:
24 fixed root-physical points on vertical/horizontal interface-normal
transects (>=8 root cells from corners), ACTIVE-leaf selection storing
level/i/j/actual centers, root-sync rho/ux/uy at root steps 0-128 and
1920-2048 (U512 every 4 lattice steps), analytic residuals at actual
centers, schedule/finite/600 kB validation. run_case: --probe-trace for
nested U128/U512/projected d3 and twin projected d2 (not with
--final-snapshot), shear_probes.py pin, probe-only steps skip metrics,
five qualification samples unchanged. shear_wave/shear_nested/shear_twin/
oracle byte-identical.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 03:11:48 +00:00
ClaudeandClaude Opus 5.5 02bde0f751 test: depth-2 twin of the nested shear preset (twin_shear_n128)
Test-only opt-in. New shear_twin.py: same two L0->L1 boxes as
shear_nested, no L2; leaves [7936,33792], hops [2048,4096], work
154664960. Four fresh cases U128/U256/constant R128 d2/projected R128 d2;
physics is the unchanged depth-2/2N shear_wave.assess. run_case:
--diagnostic twin_shear_n128 with shear_twin.py+shear_nested.py pins, no
snapshot. assess_shear_wave: nested contract made preset-generic (PRESETS)
with nested behaviour unchanged. Labels: twin vs nested = effect of adding
this nested refinement (not abstract depth). shear_wave.py, shear_nested.py
and oracle.py byte-identical.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 02:52:20 +00:00
ClaudeandClaude Opus 5.5 335624c27b test: fixed three-level/two-region nested shear preset (nested_shear_n128)
Test-only opt-in. New shear_nested.py: fixed parent-frame rectangles
(L0->L1 (16,16,60,112),(68,24,112,120); L1->L2 (44,44,108,212),
(148,60,212,228)), exact leaves/hops/work/nu/tau, depth-3 + 4N-finest
generalization of the shear assessment (same summaries/screens/budgets),
bounded final macro snapshot writer/reader (packed ACTIVE leaves + rho/u,
metadata, sha256, 8 MiB cap; no populations/restart/time series).
run_case: --diagnostic nested_shear_n128 (U128, U512, constant/projected
R128 depth 3), --final-snapshot only for projected depth 3, shear_nested.py
path+hash pin. assess_shear_wave: assess_nested contract and CLI.
shear_wave.py and oracle.py byte-identical; old guards/defaults unchanged.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 02:14:23 +00:00
ClaudeandClaude Opus 5.5 9748ef91ef test: portable few-ULP check for recomputed shear eps metadata
Cross-platform replay of the frozen assessor returned INVALID_SET because
recomputed eps(128) differed from the Horsea receipt by one ULP. Compare
only that derived float within 4 ULPs (close_ulps); hashes, case identity,
other metadata and scientific thresholds stay exact. Tests accept the
observed one/two-ULP differences and reject 1e-12 relative, 2x, string,
NaN and missing values.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 01:15:59 +00:00
ClaudeandClaude Opus 5.5 5fb95f5f4d test: opt-in scaled_shear_n256 four-case shear diagnostic
- run_case: --diagnostic scaled_shear_n256 (requires --flow shear_wave;
  U256/U512/constant R256/projected R256, Re100, no early trace); N512
  only via one of the two scaled diagnostics; scaled_n256 stays TG-only.
- assess_shear_wave: scaled=True contract reusing 92b8afe scaled
  case/build/workload checks, shear diagnostic identity; signed rate bias,
  refined excess over each control; hash-pinned de5b0cc N128 reference and
  descriptive N128->N256 signed trend; CLI --diagnostic/--reference-files.
- tests: scaled contract, set mixing, trend/reference pin, runner options.
- shear_wave.py and oracle.py unchanged.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 01:14:54 +00:00
ClaudeandClaude Opus 5.5 46100e1d53 Merge native 92b8afe scaled N256 Taylor-Green diagnostic into claude/shear-wave
Bundle celeris-scaled-tg-92b8afe-base-eec4677.bundle (SHA256 9e593384...)
verified with git bundle verify; merged without rewriting history.
Conflicts resolved by retaining both additions: run_case keeps the
shear-wave flow helpers/receipt block and the scaled_n256 diagnostic block,
with scaled_n256 restricted to --flow taylor_green (mutually exclusive with
shear_wave); test_projected_pairs keeps the explicit 'taylor_green'
verify_source argument and 92b8afe's per-scheme selector expectation.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 01:14:39 +00:00
ClaudeandClaude Opus 5.5 de5b0cc080 test: shear-wave modal-extinction handling; TG mock verify_source flow arg
- shear_wave.fit_rate: finite late R=0 returns rate_fit_valid=false with
  null fit quantities (no clipping, no invented rate); own screens and
  budgets treat it as a failure (CONTROL_SCREEN_FAIL / refined FAIL),
  other finite metrics retained, JSON-safe.
- test_projected_pairs: dry-run/execution mocks expect the explicit
  'taylor_green' flow argument now passed to verify_source.
- run_case: SHEAR_WAVE_SHA256 repinned; extinction test added.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 00:36:19 +00:00
ClaudeandClaude Opus 5.5 f337652683 test: shear-wave row validation, controlled-pass semantics, bounds
- shear_wave: validate_rows before screens (exact scheduled steps/t*, no
  duplicates, all numeric/list fields finite, nonnegative error fields,
  rho_min>0; signed amplitude/phase/interval errors keep their sign);
  INVALID_RUN for invalid refined rows; own_screens_pass vs controlled_pass
  so a CONTROL_SCREEN_FAIL set never reports a controlled pass; empty or
  duplicate refined schemes rejected; pressure-budget redundancy stated.
- run_case: SHEAR_WAVE_SHA256 repinned to the updated module.
- tests: divergence/advection bounds use a(t) and the derived h^2 term;
  invalid-row mutations; signed errors allowed; controlled_pass checks.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 00:28:46 +00:00
ClaudeandClaude Opus 5.5 3554cb2fde test: fix shear-wave review findings (runner finiteness, source pin, contract)
- run_case: finite_row accepts list diagnostics; sample() shared by sample
  and READY paths; verify_source pins shear_wave.py path+SHA256 for
  --flow shear_wave (default TG flow unchanged, does not import it).
- assess_shear_wave.py: fixed N128 four-case contract and 4-JSON CLI,
  reusing assess_projected_pairs provenance/build/workload/time checks plus
  shear metadata; missing/duplicate/mixed/extra records -> INVALID_SET.
- tests: mocked refined runner sample (list diagnostics, NaN, TG unchanged),
  contract pass + reproduced false-pass mutations, divergence check uses
  analytic E.k=0 and a derived h^2 truncation + roundoff bound with
  h-halving scaling instead of a fixed 1e-12.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 00:26:58 +00:00
ClaudeandClaude Opus 5.5 10069feadb test: apply shear-wave review corrections
Modal magnitude R=hypot(a,b) with amplitude error and separate phase;
free-intercept ln R rate fit with per-interval rates, log-fit residual,
t* units and finite-positive check; spurious-pressure naming with raw rms;
INVALID_CONTROL vs CONTROL_SCREEN_FAIL (refined results kept), mixed-source
check, raw ratios to both controls; docs narrow the cubic-term scope,
startup and placement limitations. oracle.py still byte-identical.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 00:18:20 +00:00
ClaudeandClaude Opus 5.5 ffff742b69 test: add oblique (2,1) shear-wave diagnostic with composite modal fit
Test-only. New shear_wave.py (exact field, equilibrium initializer reusing
frozen oracle constants/geometry, area-weighted composite metrics with a
2x2 Gram-matrix modal fit, late-time rate fit, preregistered assess with
max(2*control, floor) budgets). run_case.py gains --flow (default
taylor_green, unchanged receipt). oracle.py byte-identical (pinned by test).
CPU manufactured checks in test_shear_wave.py; docs record caveats.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-19 00:16:21 +00:00
Codex 92b8afeeed test: add scaled N256 Taylor-Green diagnostic 2026-10-18 17:00:55 -07:00
110 changed files with 3812 additions and 3235 deletions
+36 -38
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@@ -112,9 +112,8 @@ from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
cfg = LBMConfig(nx=32, ny=24, viscosity=.1)
body = SimObject(0, geometry=CircleGeometry(16.0, 12.0, 2.15), center=(16.0, 12.0), radius=2.15,
surface_actuation=SurfaceActuation(0.7, 0.85, 0.002)) # angle, half-width, speed
with CudaContext(0) as ctx, FixedPatchStepper(cfg, context=ctx, refinements=[(8, 6, 24, 18)],
level_blocks=[None, (16, 20)],
level_objects=[(), (body,)]) as run:
with CudaContext(0) as ctx, FixedPatchStepper(cfg, (8, 6, 24, 18), context=ctx,
fine_objects=[body], fine_block=(16, 20)) as run:
rest = np.asarray(compute_feq_d2q9(1.0, 0.0, 0.0), np.float32)[:, None, None]
# (9, ny, nx) postcollision populations per level; non-leaf cells are discarded.
run.initialize(np.broadcast_to(rest, (9, *run.patch.coarse_shape)),
@@ -125,8 +124,8 @@ with CudaContext(0) as ctx, FixedPatchStepper(cfg, context=ctx, refinements=[(8,
Scope and limits:
- The examples below use D2Q9, SRT, FP32, double buffer, unshifted, no LES or
forcing. Fixed 2:1 hierarchies use level lists of arbitrary depth; two- and
three-level examples below use that same constructor.
forcing. Fixed 2:1 hierarchies can use level lists of arbitrary depth; the
legacy two/three-level forms are shown below.
- `coarse_boundary="periodic"` (default) or `"slot_reservoir"` (bottom slot, top
reservoir; patch needs `y0 >= 4`, `y1 <= ny-4`). Periodic mode ignores the wall/slot config fields.
- Object centers/radii use the coarse **cell-edge** frame (cell `I` spans `[I, I+1)`),
@@ -134,51 +133,50 @@ Scope and limits:
- Bodies must be stationary circles whose whole boundary stencil lies in the fine
active region, clear of the coarse/fine transfer cells; violations are rejected
before any GPU allocation.
- `level_blocks=[None, (by, bx)]` stores the fine level in fixed-size blocks; `by`/`bx` must
- `fine_block=(by, bx)` stores the fine level in fixed-size blocks; `by`/`bx` must
divide the WHOLE fine allocation, i.e. `2*(y1-y0)+8` by `2*(x1-x0)+8` including the
four-cell ghost band. It gives results identical to dense storage and is
infrastructure for future block AMR, not a speedup.
- Several regions: pass a sequence of `(x0, y0, x1, y1)` rectangles as
`refinements[0]`, with both levels blocked (`level_blocks`). Transfers are built once
`bounds`, with both `fine_block` and `base_block`. Transfers are built once
from their union; adjacent, overlapping and concave unions are accepted when
their actual dependencies close. There is no fixed rectangle-gap rule.
The fine level is then one level-wide grid `(2*ny, 2*nx)`:
`run.patch.fine_shape` gives it, `initialize`/`download` use it, and only the
grid-aligned tiles intersecting the union plus its four-cell ghost band are stored.
Block sizes must divide the level-wide grid; rectangle edges need not align
with tiles. Order of rectangles does not matter. L1 bodies/Jets (`level_objects[1]`/`level_jets[1]`) work
with tiles. Order of rectangles does not matter. `fine_objects`/`jets` work
as for one patch: each circle (same coarse cell-edge frame) must lie wholly
inside the union's active region with
its boundary stencil clear of transfer cells; a jet may not select links of two
different bodies, even across regions. Wall-touching patches remain unsupported.
For nesting, add further `refinements` entries as shown below.
For nesting, use the level lists or legacy child forms below.
```python
cfg = LBMConfig(nx=32, ny=16, viscosity=.1)
rest = np.asarray(compute_feq_d2q9(1.0, 0.0, 0.0), np.float32)[:, None, None]
with CudaContext(0) as ctx, FixedPatchStepper(
cfg, context=ctx, refinements=[((4, 4, 12, 12), (16, 4, 24, 12))],
level_blocks=[(4, 4), (4, 4)]) as run:
cfg, ((4, 4, 12, 12), (16, 4, 24, 12)), context=ctx,
fine_block=(4, 4), base_block=(4, 4)) as run:
run.initialize(np.broadcast_to(rest, (9, *run.patch.coarse_shape)),
np.broadcast_to(rest, (9, *run.patch.fine_shape))) # (9, 32, 64)
run.step(32)
coarse_g, fine_g = run.download() # coarse: NaN on every covered cell;
# fine: NaN on every non-ACTIVE cell
```
- Three-level nested windows: pass two scalar rectangles in `refinements` —
L1 in L0 cells, L2 in **L1 window cells** (the parent's fine grid including its
4-cell ghost band) — plus all three `level_blocks` entries. L2 must sit inside
L1's ACTIVE cells, away from L1's ghost band and transfer footprint (checked
before any GPU allocation). `initialize` and `download` take/return three
arrays; each level is NaN on its non-ACTIVE (and child-covered) cells. One
coarse step = 2 L1 steps = 4 L2 steps. One L1 window only in this scalar
chain. Optional stationary circles and Jets live on L2 via `level_objects[2]`
and `level_jets[2]`; L1 bodies/Jets retain their L1 meaning and must be empty
in this mode. All object and Jet geometry uses the **L0 edge frame**, not the
child bounds' L1 window frame. L2 has dx=dt=0.25, so prescribed lattice
velocity is unchanged. Each whole body and its BFL stencil must be inside L2
ACTIVE cells, outside the transfer footprint. A Jet may select one physical
body across multiple blocks, never two bodies.
- Legacy three-level scalar chain: add `child=(x0, y0, x1, y1)` in
**L1 window cells** (the patch's fine grid including its 4-cell ghost band) and
`child_block`, with `fine_block` and `base_block`. L2 must sit inside L1's
ACTIVE cells, away from L1's ghost band and transfer footprint (checked before
any GPU allocation). `initialize` and `download` take/return three arrays; each
level is NaN on its non-ACTIVE (and child-covered) cells. One coarse step = 2 L1
steps = 4 L2 steps. One L1 patch only. Optional stationary circles and Jets
live on L2 via `child_objects` and `child_jets`; `fine_objects`/`jets` retain
their L1 meaning and must be empty in this mode. All object and Jet geometry
uses the **L0 edge frame**, not the child bounds' L1 window frame. L2 has
dx=dt=0.25, so prescribed lattice velocity is unchanged. Each whole body and
its BFL stencil must be inside L2 ACTIVE cells, outside the transfer footprint.
A Jet may select one physical body across multiple blocks, never two bodies.
```python
from CelerisLab.body.geometry.circle import CircleGeometry
@@ -190,9 +188,9 @@ Scope and limits:
jet = Jet(Tube((6.5, 8.), 0., 3., .3), Parallel(0.), amplitude=.002)
rest = np.asarray(compute_feq_d2q9(1.0, 0.0, 0.0), np.float32)[:, None, None]
with CudaContext(0) as ctx, FixedPatchStepper(
cfg, context=ctx, refinements=[(4, 4, 12, 12), (8, 8, 16, 16)],
level_blocks=[(4, 4)] * 3, level_objects=[(), (), (body,)],
level_jets=[(), (), (jet,)]) as run:
cfg, (4, 4, 12, 12), context=ctx, fine_block=(4, 4), base_block=(4, 4),
child=(8, 8, 16, 16), child_block=(4, 4),
child_objects=[body], child_jets=[jet]) as run:
shapes = (run.patch.coarse_shape, run.patch.fine_shape, run.child_patch.fine_shape)
run.initialize(*(np.broadcast_to(rest, (9, *s)) for s in shapes)) # 16², 24², 24²
run.step(4)
@@ -200,16 +198,16 @@ Scope and limits:
run.step(4)
coarse_g, l1_g, l2_g = run.download() # solids/covered/nonleaves are NaN
```
- Level lists (the only constructor): `refinements[l]` describes level `l+1`
in allocated level-`l` integer cells; use a rectangle list for a union, or a
scalar rectangle for a single window (a scalar child requires a scalar
parent). `level_blocks`, `level_objects` and `level_jets` each have one entry
per level, including L0. Three or more levels require all-blocked storage and
bodies/Jets only on the finest level. Every adjacent pair must preserve
inherited ACTIVE coverage, valid donors/receivers, surviving pulls and the
upstream transfer footprint. Level `l` takes `2**l` steps per base interval.
This describes implemented topology and scheduling, not accuracy or
convergence qualification.
- Level lists: `refinements[l]` describes level `l+1` in allocated level-`l`
integer cells; use a rectangle list for a union, or a scalar rectangle for a
single window (a scalar child requires a scalar parent). `level_blocks`,
`level_objects` and `level_jets` each have one entry per level, including L0.
These lists are mutually exclusive with the legacy patch keywords. Three or
more levels require all-blocked storage and bodies/Jets only on the finest
level. Every adjacent pair must preserve inherited ACTIVE coverage, valid
donors/receivers, surviving pulls and the upstream transfer footprint.
Level `l` takes `2**l` steps per base interval. This describes implemented
topology and scheduling, not accuracy or convergence qualification.
- Blocked body levels can enable `observe_raw_exchange=True` and call
`read_raw_exchange(body_id, level=...)` after a completed base interval.
It reduces unique cut-link observations into wall/aperture/total force,
-35
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@@ -1,35 +0,0 @@
# Compatibility and API changes
Changes that can make a previously accepted setup or call behave differently.
Each entry names the commit, the affected entry points and the observable result.
## 87c3a31: cut-link ownership is validated for every body
`validate_cut_link_ownership` (`body/preprocess/flag_overlay.py`) now runs for
passive bodies as well as Jet/aperture bodies. Every cut link must have an
active fluid receiver (FLUID set, SOLID clear), and each `(receiver, direction)`
population may have only one writer.
Rejected with `ValueError`, before flags, populations or device buffers change:
1. Overlapping or touching passive solids whose cut links write the same
population ("Boundary requires unique cut-link writers").
2. A body whose cut-link receiver is a non-fluid cell, e.g. a channel wall row
or the inlet/outlet column ("Cut links must have active fluid receivers").
Both were previously accepted silently for passive bodies; the interpolated
boundary then had undefined results. The rules apply to the cut links of all
bodies together, so a passive body overlapping a Jet body is rejected as well.
The check runs in `Simulation.initialize`, runtime body sync (`sync_bodies`),
checkpoint save and checkpoint load (`common/checkpoint.py`). Load validates
before restoring anything, so a checkpoint whose saved geometry violates either
rule no longer restores; rebuild the geometry with separated bodies.
## 87c3a31: `Simulation.read_surface_exchange` accepts Jet-driven bodies
`read_surface_exchange(id)` previously required `SurfaceActuation` on the body.
It now also accepts bodies that own Jet aperture links, including Jets with zero
or negative amplitude (the aperture test is geometric). Bodies with neither
`SurfaceActuation` nor aperture links still raise
`ValueError("Body has no surface actuation")`. The value is unchanged: the latest
step's wall/aperture exchange, not total nozzle force.
+1 -1
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@@ -1,6 +1,6 @@
# Blocked AMR root channel increment
Opt in with `FixedPatchStepper(..., coarse_boundary="channel", refinements=[bounds], level_blocks=[(by,bx), (fy,fx)])`. Every level must be blocked. The supported boundary is the existing uniform D2Q9/SRT/FP32 double-buffer channel: local Zou-He west inlet, pressure-NEQ east outlet, stationary halfway bounce-back y walls. Uniform and parabolic inlet profiles and shifted/unshifted storage are supported; the existing configuration guards still reject MRT/LES and incompatible storage. This does not change the external DFG MRT reference.
Opt in with `FixedPatchStepper(..., coarse_boundary="channel", base_block=(by,bx), fine_block=(fy,fx))`, or the existing level-list form. Every level must be blocked. The supported boundary is the existing uniform D2Q9/SRT/FP32 double-buffer channel: local Zou-He west inlet, pressure-NEQ east outlet, stationary halfway bounce-back y walls. Uniform and parabolic inlet profiles and shifted/unshifted storage are supported; the existing configuration guards still reject MRT/LES and incompatible storage. This does not change the external DFG MRT reference.
`step/block_channel.cu` is a small root-only kernel. Fine kernels, transfer kernels and recursive hop scheduling are unchanged. Global coordinates and the global profile height/velocity are separate from block-local storage strides. Corner ownership and collision phases match `OneStep`:
-393
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@@ -1,393 +0,0 @@
# Evidence index (draft, R0)
Active-tree evidence at candidate 0f8fdbc30ea640c764b38ee598d8f4d135c81c85, classified for the release cleanup
(thread C0C78UFKGRM 1793021833.593279). Draft for review: nothing is removed by this file.
Recovery of any listed file: `git show 0f8fdbc3:<path>` (blob id given; an immutable tag is requested as anchor).
Classes: K = conclusion kept in the active tree; K-code = tested research code kept; D-snapshot = pre-Gitea
patch/diff transport (code landed in git from ed1a6ee on; not yet verified hunk by hunk); P-pin = generated hash inventories, git-status dumps and manifests;
R-raw = run outputs, logs, signals, frames, one-shot run scripts and handoff notes. D, P, R leave the active tree in R1.
No file under src/ or a test reads any of these paths (git grep at 0f8fdbc3); runners under tests/validation
that read research/j* are handled in R2.
| Class | Files | Bytes |
|---|---:|---:|
| K | 31 | 196,506 |
| K-code | 3 | 24,324 |
| D-snapshot | 18 | 338,948 |
| P-pin | 50 | 979,177 |
| R-raw | 142 | 3,790,554 |
## (root)
| File | Class | Bytes | Blob |
|---|---|---:|---|
| BASELINE_JET_AMR.txt | R-raw | 5,244 | 62aa2a66dc05 |
## output
| File | Class | Bytes | Blob |
|---|---|---:|---|
| round3_compatibility_summary.md | R-raw | 4,366 | f243318f5591 |
## research/fine_surface_20261014
| File | Class | Bytes | Blob |
|---|---|---:|---|
| baseline.json | P-pin | 54,507 | 71a4543ead37 |
| cpu_device_guard_cmd.txt | R-raw | 241 | 06e0f35d92b3 |
| cpu_device_guard_exit.txt | R-raw | 2 | 573541ac9702 |
| cpu_device_guard_stdout.txt | R-raw | 98 | 424d584a031c |
| cpu_existing_runs.json | R-raw | 650 | 3179536407b7 |
| cpu_final_run.json | R-raw | 386 | 523fadb3fec9 |
| cpu_final_stdout.txt | R-raw | 99 | 9cfe73da3858 |
| cpu_lifecycle_run.json | R-raw | 387 | 5b403b9e2f30 |
| cpu_lifecycle_stdout.txt | R-raw | 112 | 3c5c49b285fa |
| cpu_maps_stdout.txt | R-raw | 95 | 71dd87f9faf9 |
| cpu_preallocation_run.json | R-raw | 337 | fa6e96d98cdd |
| cpu_preallocation_stdout.txt | R-raw | 98 | 5d643576f251 |
| cpu_shared_kernel_stdout.txt | R-raw | 98 | 8a0c046bb9b1 |
| cpu_surface_command.txt | R-raw | 113 | 2a5ff31e8d06 |
| cpu_surface_exit.txt | R-raw | 2 | 573541ac9702 |
| cpu_surface_projection_command.txt | R-raw | 171 | 70b7f5c62c1a |
| cpu_surface_projection_exit.txt | R-raw | 2 | 573541ac9702 |
| cpu_surface_projection_stdout.txt | R-raw | 113 | efd37a149cc1 |
| cpu_surface_stdout.txt | R-raw | 99 | 9cfe73da3858 |
| gpu_preparation_run1.py | R-raw | 14,043 | ee586d035b7a |
| gpu_run.json | R-raw | 2,943 | 15b8ba70d528 |
| gpu_stdout.txt | R-raw | 5,424 | c5216e0267f3 |
| gpu_test_run1.py | R-raw | 15,479 | f30376abc97f |
| incremental.diff | D-snapshot | 53,853 | 318d92e7d177 |
| manifest.json | P-pin | 8,411 | 8281338416af |
| report.txt | K | 8,373 | 6b9e5123e414 |
## research/fine_surface_joint_20261014
| File | Class | Bytes | Blob |
|---|---|---:|---|
| baseline_00.json | P-pin | 21,302 | 4ae101ebd02b |
| baseline_01.json | P-pin | 26,191 | 548cf7b3b494 |
| baseline_02.json | P-pin | 22,440 | e0421e7a4052 |
| baseline_03.json | P-pin | 8,584 | da99b45f32a4 |
| blow_boundary.csv | R-raw | 12,536 | e13363b69457 |
| blow_collisions.csv | R-raw | 19,145 | 5d5b395486bb |
| blow_ledger.csv | R-raw | 15,977 | b43bbfd0b8d2 |
| blow_propagation.csv | R-raw | 9,714 | f06d80d296ca |
| blow_signals.npz | R-raw | 221,114 | 528adf75baa2 |
| blow_summary.json | R-raw | 4,113 | 32285ac15be3 |
| command.txt | R-raw | 232 | 510ecb2925dd |
| criteria.txt | K | 7,480 | dd36e76a3be1 |
| frozen.json | R-raw | 11,972 | b5a3324e8686 |
| gpu_run.json | R-raw | 1,955 | 67ac4785f7e4 |
| incremental.diff | D-snapshot | 625 | e03c132d22df |
| integrity.json | P-pin | 826 | a8b6e4be88d2 |
| manifest.json | P-pin | 4,388 | d2af50260c39 |
| regions.json | R-raw | 27,525 | 7bba26904221 |
| report.txt | K | 8,207 | d7571e068ad3 |
| result.json | R-raw | 11,442 | 9580c2686e70 |
| review.txt | K | 2,117 | bbe1d8a83d47 |
| runner.py | R-raw | 5,847 | 812973acc000 |
| stdout.txt | R-raw | 19,940 | c9218e2e48fc |
| suction_boundary.csv | R-raw | 12,505 | b870be05e6c0 |
| suction_collisions.csv | R-raw | 19,173 | 2de48c0a84ab |
| suction_ledger.csv | R-raw | 16,208 | 92cf1f44911e |
| suction_propagation.csv | R-raw | 9,720 | f017bcc3ca6f |
| suction_signals.npz | R-raw | 220,058 | 66d06cf2d909 |
| suction_summary.json | R-raw | 4,126 | d70a1d371950 |
| validate.py | R-raw | 19,576 | 37441febd168 |
| zero_boundary.csv | R-raw | 11,491 | 65c92e48c974 |
| zero_collisions.csv | R-raw | 18,915 | 027cb8ff6b23 |
| zero_ledger.csv | R-raw | 16,051 | 34a99bb89dd7 |
| zero_signals.npz | R-raw | 127,958 | a966f093a9cd |
| zero_summary.json | R-raw | 1,508 | 6e033f991438 |
## research/fixed_patch_jet_20261013
| File | Class | Bytes | Blob |
|---|---|---:|---|
| baseline.json | P-pin | 69,721 | 91ad9c4d1e88 |
| before.json | R-raw | 690 | 06e1b6278a29 |
| fixed_patch_jet.py | R-raw | 9,646 | 6fbdcd9a076b |
| incremental.patch | D-snapshot | 9,891 | b43129d82c69 |
| manifest.json | P-pin | 1,967 | 08daa0248f60 |
| notes.txt | K | 2,214 | 50070fe54efb |
| results.json | R-raw | 1,100 | d959a6a1cc2c |
| stdout.txt | R-raw | 1,272 | eccdc0f6b16a |
## research/fixed_patch_jet_closure_20261013
| File | Class | Bytes | Blob |
|---|---|---:|---|
| baseline.json | P-pin | 72,692 | 8a157af82ecf |
| cpu_results.json | R-raw | 628 | 8e4a1c090c93 |
| cpu_stdout.txt | R-raw | 590 | d800b783fe47 |
| incremental.patch | D-snapshot | 3,490 | a9a486c68afd |
| layout_uncropped.png | R-raw | 51,785 | 0cf1cfa5e99d |
| manifest.json | P-pin | 1,849 | 31cf0c739241 |
| notes.txt | K | 3,023 | 0f7e7bdfd0e6 |
## research/fixed_patch_jet_records_20261013
| File | Class | Bytes | Blob |
|---|---|---:|---|
| baseline.json | P-pin | 71,228 | a8e967f76e08 |
| before.json | R-raw | 690 | ebd6f4251fc2 |
| fixed_patch_jet.py | R-raw | 10,650 | f6b299885da0 |
| incremental.patch | D-snapshot | 5,539 | c7f4d0c02ccc |
| manifest.json | P-pin | 2,057 | 1d616c2541df |
| notes.txt | K | 2,449 | b58cec14d359 |
| results.json | R-raw | 1,136 | 788af64a6ebd |
| stdout.txt | R-raw | 20,750 | a765b06deefa |
## research/j1-2026-10-12
| File | Class | Bytes | Blob |
|---|---|---:|---|
| REVIEW.md | K | 7,667 | 8f469daef054 |
| baseline-status.txt | P-pin | 2,601 | 64ca05ab952e |
| baseline.json | P-pin | 23,052 | ab5852bcb0ef |
| incremental.diff | D-snapshot | 29,912 | dd9c4e688888 |
| results.json | R-raw | 68,294 | 56547aa8a678 |
## research/j2-slot-2026-10-12
| File | Class | Bytes | Blob |
|---|---|---:|---|
| REVIEW.md | K | 12,930 | 69fa4d3bccd3 |
| baseline-status.txt | P-pin | 2,825 | e711afb0016c |
| baseline.json | P-pin | 24,660 | 286e023da94f |
| incremental.diff | D-snapshot | 25,231 | 649f3b5d168d |
| results.json | R-raw | 477,249 | b4272e25179d |
## research/j3-coverage-2026-10-12
| File | Class | Bytes | Blob |
|---|---|---:|---|
| REVIEW.md | K | 11,409 | 5887cf73dce2 |
| baseline-status.txt | P-pin | 3,055 | 78e88356caa3 |
| baseline.json | P-pin | 30,407 | 095972547a7f |
| incremental.diff | D-snapshot | 20,114 | f0d502dc5c5b |
| negative-budget-20744.h5 | R-raw | 88,017 | 693b133be84d |
| negative-end-20760.h5 | R-raw | 88,174 | 429270d263d4 |
| restart-21280.h5 | R-raw | 88,062 | 74900affae38 |
| restart-reference-21296.h5 | R-raw | 88,154 | 7510ee97885b |
| results.json | R-raw | 296,314 | 7806b10e65cb |
| verification.json | K | 1,468 | 78a07c47aea4 |
## research/j3-lag-2026-10-12
| File | Class | Bytes | Blob |
|---|---|---:|---|
| REVIEW.md | K | 11,732 | 34fe5dbb2cae |
| baseline-status.txt | P-pin | 2,968 | 6ae6094ea9d7 |
| baseline.json | P-pin | 26,505 | 5c289d14ff30 |
| end-21280.h5 | R-raw | 92,366 | f30b209179ab |
| incremental.diff | D-snapshot | 15,790 | 5c6c485e1f75 |
| results.json | R-raw | 21,718 | 2bf58939129c |
| start-20760.h5 | R-raw | 92,247 | ae0abd05190c |
## research/j3-offline-2026-10-12
| File | Class | Bytes | Blob |
|---|---|---:|---|
| REVIEW.md | K | 6,271 | a76e1b486bd2 |
| lags.csv | R-raw | 1,104 | dd3136dd2dc2 |
| localization.png | R-raw | 136,013 | 74b56f3e814c |
| regions.csv | R-raw | 2,126 | 5d361e6872af |
| results.json | R-raw | 8,852 | bf77b0f534d4 |
## research/j3-reservoir-2026-10-12
| File | Class | Bytes | Blob |
|---|---|---:|---|
| REVIEW.md | K | 13,563 | a74b67a64e0d |
| baseline-status.txt | P-pin | 2,896 | a318e077dfae |
| baseline.json | P-pin | 25,571 | 060502ea7dd8 |
| incremental.diff | D-snapshot | 22,898 | 8e2c79a86c98 |
| results.json | R-raw | 182,747 | 7fd5e51a1785 |
## research/refinement_example_20261013
| File | Class | Bytes | Blob |
|---|---|---:|---|
| baseline.json | P-pin | 8,286 | 591478100da8 |
| before.json | R-raw | 818 | 7ab0962775b1 |
| incremental.patch | D-snapshot | 8,682 | 7ad8719d0167 |
| manifest.json | P-pin | 1,798 | bf1eee8a7cf8 |
| notes.txt | K | 1,185 | 7ff019ad023d |
| results.json | R-raw | 1,118 | 94697b0988b9 |
| stdout.txt | R-raw | 325 | 501446f557f4 |
## research/refinement_followup_20261013
| File | Class | Bytes | Blob |
|---|---|---:|---|
| README.txt | K | 4,887 | af65e889f20e |
| baseline.json | P-pin | 5,343 | 7c60ad8ad692 |
| cleanup.json | R-raw | 1,253 | 15cf342fba2e |
| cpu_results.json | R-raw | 1,056 | 1166dffd2a09 |
| cpu_results_attempt1.json | R-raw | 642 | d139d5508105 |
| cpu_stdout.txt | R-raw | 499 | d1b33ea20563 |
| cpu_stdout_attempt1.txt | R-raw | 879 | 6a9fe7fce39a |
| gpu_before.json | R-raw | 589 | 46762a0ab207 |
| gpu_before_no_launch.json | R-raw | 589 | 074982d1b2d4 |
| gpu_rectangle_before.json | R-raw | 589 | 831e3793339f |
| gpu_rectangle_before_no_launch_1791886104981638567.json | R-raw | 589 | c33885d50bfd |
| gpu_rectangle_results.json | R-raw | 1,003 | 9c6da219ac6c |
| gpu_rectangle_stdout.txt | R-raw | 332 | 9185bf303954 |
| gpu_results.json | R-raw | 1,189 | 53e4f1c44de1 |
| gpu_seed1_before.json | R-raw | 589 | c77ea3485f84 |
| gpu_seed1_results.json | R-raw | 996 | b718e8af84e4 |
| gpu_seed1_stdout.txt | R-raw | 306 | 4d7de0897137 |
| gpu_stdout.txt | R-raw | 68 | b0956fe3cdb0 |
| incremental.patch | D-snapshot | 16,836 | 9df25d8c177a |
| manifest.json | P-pin | 4,410 | 177704d6f1ae |
| run_gpu.py | R-raw | 5,237 | b5af3f0d4f79 |
## research/refinement_prepare_20261013
| File | Class | Bytes | Blob |
|---|---|---:|---|
| README.txt | K | 8,939 | 8e210c28c7c5 |
| baseline.json | P-pin | 46,348 | d5f257216b8d |
| incremental.patch | D-snapshot | 15,751 | 0ddb32550584 |
| manifest.json | P-pin | 2,113 | 9fd94ccf2c3e |
| validation.json | R-raw | 3,567 | f057e7cbcd35 |
| validation.txt | R-raw | 873 | 594daa45c58c |
## research/refinement_slot_20261013
| File | Class | Bytes | Blob |
|---|---|---:|---|
| baseline.json | P-pin | 67,717 | d498081e7c50 |
| before.json | R-raw | 690 | 430e76b3aa8a |
| cpu_results.json | R-raw | 1,421 | 4f6bc4d9428f |
| incremental.patch | D-snapshot | 18,676 | 67a3e8cc9e68 |
| manifest.json | P-pin | 2,270 | 6515458290f4 |
| notes.txt | K | 2,612 | 08a713ba4b37 |
| results.json | R-raw | 1,160 | 03e683027ba8 |
| stdout.txt | R-raw | 643 | d57b91769826 |
## research/refinement_slot_followup_20261013
| File | Class | Bytes | Blob |
|---|---|---:|---|
| baseline.json | P-pin | 68,536 | 89a26ce79438 |
| before.json | R-raw | 690 | e707df192ff2 |
| incremental.patch | D-snapshot | 495 | c6f6fa11237d |
| manifest.json | P-pin | 1,920 | 4840243a33aa |
| notes.txt | K | 1,549 | 4b77583ca116 |
| planar_velocity.cuh | R-raw | 1,911 | 87db7466c843 |
| planar_velocity.sha256 | P-pin | 251 | 6694c4a1c1f0 |
| results.json | R-raw | 1,050 | 6ef6eda854c6 |
| stdout.txt | R-raw | 1,160 | 461860351c0c |
## research/refinement_step_20261013
| File | Class | Bytes | Blob |
|---|---|---:|---|
| README.txt | K | 10,671 | 88d6f24743f5 |
| baseline.json | P-pin | 40,620 | 20f61559dd38 |
| cpu_validation.json | R-raw | 1,231 | 7999fd30018c |
| gpu_failure_validation.json | R-raw | 868 | 5f6db65ee4f9 |
| gpu_failure_validation.txt | R-raw | 248 | d9a570a1e9e9 |
| gpu_validation.json | R-raw | 672 | 2028f59e1055 |
| gpu_validation.txt | R-raw | 632 | 9699918ee127 |
| incremental.patch | D-snapshot | 26,516 | d95f9347633d |
| manifest.json | P-pin | 2,075 | 32a7f1a7309e |
## research/repair-2026-10-10
| File | Class | Bytes | Blob |
|---|---|---:|---|
| TRON_HANDOFF.md | R-raw | 25,208 | a339786c7944 |
| baseline-hashes.json | P-pin | 16,020 | 9b4e24cb1d10 |
| baseline-status.txt | P-pin | 429 | 515be249b638 |
| checkpoint-domain-2026-10-12.diff | D-snapshot | 14,443 | 035ed630dda1 |
| classic-results.json | R-raw | 244,729 | 7297aa0d5bca |
| classic-signals.npz | R-raw | 630,332 | 8cf6d1218aa0 |
| final-gpu.log | R-raw | 191 | a0eec1a8ea31 |
| final-unit.log | R-raw | 188 | 94efba2f1d42 |
| provenance.json | P-pin | 1,020 | 25e22b4f0696 |
| repair-architecture.md | K | 9,498 | 12051c3e8571 |
| repair-numerical.md | K | 10,769 | 0c5757fe5f36 |
| repair-state.md | K | 8,481 | 3c7f2d5b687a |
| simplification-checks.log | R-raw | 1,045 | fa9d464be740 |
## research/shear_refinement
| File | Class | Bytes | Blob |
|---|---|---:|---|
| README.md | K-code | 4,142 | 67bdd8ed622b |
| boundary_shear_tagging.py | K-code | 13,859 | b5415a1c4ea1 |
| example.py | K-code | 6,323 | 66295d3f0273 |
## research/surface_actuation_20261014
| File | Class | Bytes | Blob |
|---|---|---:|---|
| baseline.json | P-pin | 54,139 | 0ad06888dbeb |
| cpu_checkpoint_run.json | R-raw | 400 | 39681b60ff15 |
| cpu_checkpoint_stdout.txt | R-raw | 114 | 929e4b8d4f46 |
| cpu_initial.txt | R-raw | 620 | 29213c58a679 |
| cpu_surface_command.txt | R-raw | 118 | 6d8c615a6e03 |
| cpu_surface_exit.txt | R-raw | 2 | 573541ac9702 |
| cpu_surface_stdout.txt | R-raw | 99 | ee9237fc26e5 |
| gpu_run.json | R-raw | 1,698 | dc8f87eafaa9 |
| gpu_stdout.txt | R-raw | 159 | b262891e52c3 |
| incremental.diff | D-snapshot | 50,206 | 43090a1a8b11 |
| manifest.json | P-pin | 7,527 | 35daa01271cb |
| report.txt | K | 5,078 | 1162a6479f9f |
## research/wall_seam_pulse_20261014
| File | Class | Bytes | Blob |
|---|---|---:|---|
| analyze.py | R-raw | 10,343 | ed7cf6999a49 |
| interpretation.txt | K | 3,514 | 90935db2aa99 |
| results.json | R-raw | 15,137 | 678a0759871a |
| run.json | R-raw | 1,170 | 53e303fd0d5d |
| sources.csv | R-raw | 2,313 | 40d3736b8ef1 |
| stdout.txt | R-raw | 1,179 | 756d8c38e213 |
## tests/validation/multigrid/cpuref_0_3_evidence
| File | Class | Bytes | Blob |
|---|---|---:|---|
| README.txt | K | 4,133 | 62897bfd9812 |
| README_grok.md | K | 1,751 | 2d36e05661a8 |
| baseline.json | P-pin | 39,291 | 188491096547 |
| manifest.json | P-pin | 3,495 | 10c19f5fe5ca |
| results_horsea.json | R-raw | 2,281 | 3b163384e376 |
| stdout_grok.txt | R-raw | 7,143 | 5a0c270ea4ae |
| stdout_horsea.txt | R-raw | 9,013 | adff8bb8d295 |
## tests/validation/multigrid/local_stress_v1_evidence
| File | Class | Bytes | Blob |
|---|---|---:|---|
| README.txt | K | 8,239 | 3513fd294223 |
| TABLE_local_stress_observable_v1.md | K | 2,967 | 6115dcde0f46 |
| baseline.json | P-pin | 43,991 | ab631ea4f2ad |
| comparison.json | R-raw | 13,248 | d7d1b36eb247 |
| manifest.json | P-pin | 4,132 | c6c44d8125cd |
| results_horsea.json | R-raw | 2,671 | 79bdf001f948 |
| run_once.py | R-raw | 4,313 | fa9c5239e993 |
| source_manifest.json | P-pin | 622 | 0516f1860407 |
| stdout_horsea.txt | R-raw | 17,091 | a20c554693df |
| stdout_local_stress_observable_v1.txt | R-raw | 12,238 | 692ffe1a05da |
## tests/validation/multigrid/shear_v0_2_evidence
| File | Class | Bytes | Blob |
|---|---|---:|---|
| README.txt | K | 7,220 | 772f74ad40ff |
| baseline.json | P-pin | 41,751 | 70d9c9fa71c0 |
| comparison.json | R-raw | 7,679 | 0af8736f9a01 |
| joint_report.md | K | 6,110 | eed871221298 |
| manifest.json | P-pin | 3,796 | b22d03a1ba9e |
| results_horsea.json | R-raw | 1,957 | b2cd48a07a08 |
| run_once.py | R-raw | 3,245 | 0b8d5e21f326 |
| source_manifest.json | P-pin | 574 | 4d1c742690c7 |
| stdout_grok.txt | R-raw | 7,950 | 0e80b1aba7f6 |
| stdout_horsea.txt | R-raw | 11,421 | 3c867cdac197 |
+15 -15
View File
@@ -1,8 +1,8 @@
# Fixed three-level rectangle unions
This page describes three-level `FixedPatchStepper` setups built from the
`refinements` level list, with rectangle unions on either adjacent pair. The
same constructor supports arbitrary depth; three or more levels require
This page describes the legacy three-level entry point of `FixedPatchStepper`,
with rectangle unions on either adjacent pair. The `refinements` level-list
entry point also supports arbitrary depth; three or more levels require
all-blocked storage and bodies/Jets only on the finest level. This is not
general AMR: there is no per-region timestep, moving geometry, automatic
dynamic refinement or L1 body support in the three-level form.
@@ -12,15 +12,15 @@ No CUDA kernel changes are involved.
## Explicit coordinate frames
For a single scalar parent patch, pass a scalar rectangle as `refinements[1]`:
`(x0,y0,x1,y1)` in half-open integer indices of the allocated L1 window,
including its ghost band.
Keep the existing scalar `child=(x0,y0,x1,y1)` for a single scalar parent patch.
Its coordinates retain their original meaning: half-open integer indices in the
allocated L1 window, including its ghost band.
A rectangle list as `refinements[1]` accepts a scalar or a set parent and
interprets every rectangle in the actual allocated L1 array, including ghost
bands and holes. It never infers region-local coordinates. The physical root
cell edge corresponding to an L1 index `(x,y)` is
`parent.fine_origin + (x,y)/2`:
The new keyword `child_rectangles_in_parent=[...]` is mutually exclusive with
`child`. It accepts a scalar or a set parent and interprets every rectangle in
the actual allocated L1 array, including ghost bands and holes. It never infers
region-local coordinates. The physical root cell edge corresponding to an L1
index `(x,y)` is `parent.fine_origin + (x,y)/2`:
- A scalar L1 parent has a shifted window origin.
- A set L1 parent has origin `(0,0)` and public shape `(2*ny,2*nx)`.
@@ -47,9 +47,9 @@ tile edges.
```python
run = FixedPatchStepper(
cfg, context=ctx,
refinements=[[(4, 4, 20, 28), (24, 4, 44, 28)], [(16, 16, 32, 40), (56, 16, 80, 40)]],
level_blocks=[(4, 4)] * 3,
cfg, [(4, 4, 20, 28), (24, 4, 44, 28)], context=ctx,
base_block=(4, 4), fine_block=(4, 4), child_block=(4, 4),
child_rectangles_in_parent=[(16, 16, 32, 40), (56, 16, 80, 40)],
)
```
@@ -57,7 +57,7 @@ This example uses a 48x32 root. `initialize` and `download` use three Q-major
dense arrays. Public arrays and masks still scale with the full allocated
extent; sparse device buffers do not remove that host-memory limit.
Stationary whole-circle L2 bodies and Jets (`level_objects[2]`, `level_jets[2]`) use root edge
Stationary whole-circle `child_objects` and `child_jets` use root edge
coordinates and a single L2 boundary object. Body IDs are physical object-list
positions, not region IDs or caller `obj_id`. Complete boundary stencils must
avoid the transfer footprint. Change a child Jet with
-25
View File
@@ -1,25 +0,0 @@
# Device state lifecycle (uniform Simulation, PeriodicBlockStepper, FixedPatchStepper)
State is grouped by what a change invalidates. This file describes the code as
it is; it adds no framework. Line references are to candidate 0f8fdbc3.
| Class | Contents | How it changes | Owner rule |
|---|---|---|---|
| 1. Module and its globals | Compile-time (visible to the compiler, fixed per module): `config.h` macros incl. `NX`/`NY`, `COLLISION_MODEL`, `BLOCK_ROOT_BC`, `WALL_*`. Runtime per-module globals (not visible to the compiler; written by host code): `__constant__` `d_params`, `d_w`, `d_cx`, `d_cy`, `d_block_channel`, `d_block_wall`; plus bound kernel handles | Globals are written once by the owner right after `load_module`. Uniform grid: `Simulation._recompile` (construction, body-topology sync) loads a new module and re-uploads; `update_runtime_params` rewrites `d_params` (omega, force, n_objects) between runs. Steppers: never rewritten after construction, so they are immutable for the instance's lifetime although they are runtime values. The same quantity can be a macro in one route and a global in another (dense slot root: `WALL_SLOT_WIDTH`/`WALL_NORMAL_VELOCITY` macros; blocked slot root: `d_block_wall`), which can change generated arithmetic. | Every owner loads its own module (`compiler_v2.load_module` = `module_from_file`, no cache). A loaded module is never shared between live owners: globals are per module, so sharing would share mutable `d_params`. |
| 2. Geometry, layout, tables | flags, curved-link tables, block layouts and halo pairs, transfer (explode/coalesce) tables, block kinds | Immutable for the life of an instance. Uniform grid: rebuilt by body sync. `FixedPatchStepper`: a geometry change is a new instance (`remap_child`), committed only after a successful transfer. | No in-place table edits. |
| 3. Controls and dependent boundary columns | Jet amplitude -> per-link `surface_velocity`; body actions (uniform grid) | Between steps, without a table or module rebuild (`set_jet_amplitude`). | Host copy commits only after the device upload succeeded; a device error fails the instance. |
| 4. Per-step state | population double buffers and their parity, raw-exchange ledgers, observations | Device-only during `step(n)` / `run(n)`; buffer swaps are host-handle swaps. | Valid on the host only after the single wait at the end of the call. |
Storage routes are separate concerns:
- Original uniform grid (`uniform.cu`, `Simulation`): whole-domain `NX`/`NY`.
- Blocked levels (`blocked.cu`; `PeriodicBlockStepper` and every blocked
`FixedPatchStepper` level): `NX`/`NY` are one block window including halo.
- Dense refinement levels (`refinement.cu`, `level_blocks[l] is None`).
A single-rectangle refinement (`FixedPatch2D`) is stored in its own fine
window frame in both dense and blocked form (`refinement_stepper.py:222-224`,
`BlockLayout2D.build(*pair.fine_shape, ...)`). Only a rectangle set
(`FixedPatchSet2D`) uses the level-wide frame `(2*ny, 2*nx)`, whose
`fine_layout` requires that full grid to be divisible by the tile
(`refinement.py:240-252`).
-88
View File
@@ -1,88 +0,0 @@
# Supported settings: 2D Jet + fixed multilevel refinement (candidate 888c8038)
Every entry names the guard that enforces it (file and function or kernel guard,
at source revision 888c80381c006e976be2af8a452288729fc17c1b) and, where one
exists, an existing test that exercises it. A setting not listed here is not
claimed. Observations at the end are tied to the exact case in which they were
measured; they are not general bounds.
## Lattice, storage, collision
| Setting | Supported | Guard |
|---|---|---|
| Dimension / lattice | 2D D2Q9 only (3D refinement is future work) | `lbm/refinement.py` `FixedPatch2D.from_config`; `#error` guards in `lbm/kernels/blocks.cu` and `lbm/kernels/refinement.cu` |
| Precision / streaming | FP32 storage, double buffer | same guards |
| Collision on refinement levels | SRT or MRT; TRT and LES rejected | `lbm/refinement.py` `FixedPatch2D.from_config` (re-checked for fine boundaries in `prepare_fine_boundary`) |
| Shifted (ddf_shifting) storage | only when every level is blocked; dense or mixed rejected | `lbm/refinement_stepper.py` `FixedPatchStepper.__init__`, `FixedPatchStepper._check_storage`; `#error` guard in `lbm/kernels/refinement.cu` (dense patch kernel unshifted only) |
| Fine relaxation | 1/tau_fine must lie inside the configured omega guards | `lbm/refinement.py` `FixedPatch2D.from_config` |
| Uniform blocked backend `PeriodicBlockStepper` | doubly periodic, SRT only, stationary passive circles | `lbm/block_stepper.py` `PeriodicBlockStepper.__init__`, `_static_circles` |
Tests: `tests/unit/test_refinement_mrt.py`, `tests/validation/multigrid/test_refinement_mrt_gpu.py`,
`tests/unit/test_shifted_storage.py`, `tests/unit/test_shifted_block_operators.py`.
## Refinement hierarchy (`FixedPatchStepper(cfg, *, context, refinements, ...)`)
| Setting | Supported | Guard |
|---|---|---|
| Depth | at least one refinement level; one entry per level in `level_blocks`/`level_objects`/`level_jets` | `lbm/refinement_stepper.py` `_check_levels` |
| Single L1 rectangle | two-coarse-cell margin to the domain edge | `lbm/refinement.py` `FixedPatch2D.from_config` |
| Several L1 rectangles (union) | require `level_blocks[0]` and `level_blocks[1]`; transfers must close (dependency checks, no fixed gap rule) | `lbm/refinement_stepper.py` `_check_levels`; `lbm/refinement.py` `_check_parent_pull_closure` |
| Nested levels | depth >= 3 must be all blocked; a blocked level requires blocked levels below; a scalar child needs a scalar parent | `lbm/refinement_stepper.py` `_check_levels`; `lbm/hierarchy.py` `build_hierarchy` |
| Nested transfer support | child only over inherited ACTIVE cells, donors/receivers uncovered ACTIVE, no child over the parent restriction footprint | `lbm/refinement.py` `_nested_kind` |
| Tile shape | positive `(by, bx)`; the level allocation must be divisible by the tile (no partial tiles yet) | `lbm/refinement_stepper.py` `_check_levels`, `lbm/refinement.py` `FixedPatchSet2D.fine_layout` (shape); `lbm/blocks.py` `BlockLayout2D.build` (divisibility) |
| Coarse boundary | `periodic`, `slot_reservoir` or `channel` | `lbm/refinement_stepper.py` `FixedPatchStepper.__init__` |
| `slot_reservoir` | on-site velocity bottom slot, reservoir top, velocity 0, 2 <= slot width < nx, patch rows 4..ny-4 | `lbm/refinement_stepper.py` `FixedPatchStepper.__init__`; `lbm/refinement.py` `prepare_fine_boundary` |
| `channel` | all levels blocked; Zou-He inlet, pressure-NEQ outlet, stationary bounce-back walls; transfers away from the closure | `lbm/channel.py` `validate_channel_config`, `validate_channel_transfers` |
| Explosion | `constant` (default); `projected_linear` only periodic, all-blocked SRT, no bodies/Jets, no LES (experimental) | `lbm/refinement_stepper.py` `FixedPatchStepper.__init__` |
| L2 runtime remap (`remap_child`) | periodic three-level L2 sets only, no L0/L1 bodies, identical pinned boundary | `lbm/refinement_stepper.py` `FixedPatchStepper.remap_child` |
Tests: `tests/unit/test_refinement_three_level_multipatch.py`, `tests/validation/multigrid/test_refinement_multipatch.py`,
`test_refinement_three_level.py`, `test_refinement_three_level_multipatch_gpu.py`, `test_refinement_blocked_base.py`,
`test_refinement_blocked_fine.py`, `test_channel_root_gpu.py`, `tests/unit/test_channel_root.py`,
`tests/unit/test_projected_pair_stepper.py`, `test_runtime_child_remap_gpu.py`, `test_pinned_body_remap_gpu.py`.
## Bodies and Jets on refined levels
| Setting | Supported | Guard |
|---|---|---|
| Bodies | stationary circles without sensor/force-region roles, entirely inside the patch union, fully resolved, disjoint, stencil away from the two-hop transfer footprint | `lbm/refinement.py` `prepare_fine_boundary` |
| Level | not on L0; only on the finest level of a nested hierarchy | `lbm/refinement_stepper.py` `_check_levels` |
| Jet condition | velocity only; `pressure` is reserved and raises NotImplementedError | `body/jets.py` `Jet.__post_init__` |
| Jet geometry | each Jet selects resolved links of exactly one stationary body; no Jet/Jet or Jet/SurfaceActuation overlap; abs(amplitude) < 1 lattice | `body/jets.py` `Jet.__post_init__`, `jet_link_shapes`, `_surface_links` |
| Jets with shifted storage | only in the all-blocked stepper with SRT and no LES | `body/jets.py` `_surface_links` |
| SurfaceActuation | unshifted storage only | `body/objects.py` `SimObject.validate_surface_actuation` |
| Raw boundary exchange (force) | blocked body levels only; the window ledger requires `observe_raw_exchange` | `lbm/refinement_stepper.py` `FixedPatchStepper.__init__` |
| Checkpoint with Jets | refused | `simulation.py` `Simulation.save_checkpoint` |
Raw exchange is the cut-link momentum reaction (wall + aperture), not a validated
nozzle thrust or stress load. Jet amplitude is a lattice velocity, not a flow rate.
Tests: `tests/unit/test_jets.py`, `test_jets_review.py`, `test_shifted_jets.py`, `test_raw_exchange.py`,
`tests/validation/multigrid/test_refinement_jets.py`, `test_shifted_jets_gpu.py`, `test_raw_exchange_gpu.py`,
`test_exchange_window.py`, `test_fine_surface_gpu.py`.
## Observations from specific tested cases (not general bounds)
- SRT channel root vs uniform OneStep, strict-parity test
`tests/validation/multigrid/test_channel_root_gpu.py::ChannelRootGPU::test_uniform_matched_root`:
in one of its 18 sub-cases (2 storage modes x 3 profile/clamp/damp settings x 3 blocks; which
one is not recorded), 1 of the 4320 compared values differs, max abs 2.33e-10, max rel 1.77e-7
(about 2 ULP). The test remains failed; its cause and any general bound are unresolved.
- MRT root parity test
`tests/validation/multigrid/test_refinement_mrt_gpu.py::RefinementMRTGPU::test_uniform_matched_mrt_root`
(12 sub-cases: 2 storage modes x 2 profiles x 3 blocks, default outlet settings) passed bitwise
in the Horsea focused GPU run at K1 7813334 (2026-10-21).
- Periodic Taylor-Green Re 100, measured at 36ffc8b1 (V3 matched pair, N128 depth 2):
every per-sample screen passed; the constant explosion's aggregate worst velocity L2,
0.004418, exceeds its preregistered 0.002 budget, while projected_linear passed that budget.
- Curved-wall pressure (pilot harness, exact-q analytic annulus, tau 0.8): the coarse swirl r1
case exceeded its terminal density-gain cap (1.105e-4 vs 1e-4), so the frozen 9-case matrix
is NOT_ESTABLISHED. No validated fix exists. This is a pilot harness, not production code.
- DFG 2D-1 Re 20 (V4, SRT, t* 60, pressure-NEQ outlet and local Zou-He inlet): refined and uniform
runs were NOT_STEADY under the frozen steady rule, so no interval verdict was given.
## Not supported in this release
3D, dynamic/automatic AMR (tagging, time-varying hierarchies beyond `remap_child`),
moving bodies on refined levels, pressure Jets, Jet checkpoints, LES or TRT on refined
levels, partial (non-dividing) tiles.
-49
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@@ -1,49 +0,0 @@
# DFG 2D-1 (Re 20) against the official reference intervals
`tests/validation/run_dfg_re20.py` runs the steady DFG 2D-1 case on the refined
channel root (D40 root, D80 wide fine patch) and on the uniform D80 grid. Geometry,
inflow, initial state, layout and observation are those of the pinned Re100 runner
(`run_refined_dfg.py`, `re100_helpers.py`, both unchanged); only the lattice
viscosity is set for Re 20 (root tau 0.56, fine 0.62, uniform 0.62, lattice speed 0.01).
Label: "compared against the official reference bands", not a full benchmark
certification: the outlet is pressure-NEQ (`neq_extrap`), not do-nothing, and the
inlet is local Zou-He.
## Quantities
- Cd = 2 Fx / (rho U^2 D), Cl = 2 Fy / (rho U^2 D), interval means over each sample.
- p_diff = p(0.15, 0.2) - p(0.25, 0.2), linear extrapolation to the exact surface
points (`re100_helpers.pressure_probes`). The helper returns dp / (rho U^2) in
scaled units; p_diff = dp * 0.04 for U = 0.2 m/s, rho = 1. Both are reported.
- Official intervals (Schaefer & Turek 1996): Cd [5.57, 5.59], Cl [0.0104, 0.0110],
p_diff [0.1172, 0.1176].
## Bounds and steady rule (frozen before any run)
- End time t* = 60 (30 s physical): 240,000 refined root steps, 480,000 uniform steps.
- One sample every t* = 0.5 (0.25 s) at the end of a synchronized root step; Cd and
Cl are interval means. Trailing window t* 50..60 inclusive (21 samples).
- Steady rule (our engineering choice, not official): in the window, for each of Cd,
Cl, p_diff, max - min <= 10 % and |least-squares slope x window| <= 2 % of its
official interval width (range 2e-3 / 6e-5 / 4e-5; slope 4e-4 / 1.2e-5 / 8e-6).
Absolute limits, so the small Cl is never a divisor. Never relaxed after a run.
- The verdict uses the window mean; the distance to the nearest interval edge is
reported for each quantity (negative outside).
- Force sign: fluid on cylinder, x along the inflow, y up from the bottom wall; Cd > 0
and the official Cl > 0 (`cd_positive` is reported).
- Not steady at t* = 60: status `NOT_STEADY`, no interval verdict. Health limits
(Mach <= 0.2, rho in [0.5, 1.5]) stop the run with `UNHEALTHY`.
- Steady: `WITHIN_INTERVALS` or `OUTSIDE_INTERVALS`, with the per-quantity verdict.
## Run
```
python tests/validation/run_dfg_re20.py --output <new-dir> --plan
CUDA_VISIBLE_DEVICES=<n> python tests/validation/run_dfg_re20.py --case both \
--collision SRT --output <new-dir> --max-wall-seconds <cap>
```
The uniform D80 control separates method error from refinement error. `--plan` writes `plan.json` only. A GPU run writes `plan.json` and `result.json`
(per case: lattice parameters, every sample, window ranges, status, verdict).
Host contract tests: `tests/unit/test_dfg_re20.py`.
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@@ -56,62 +56,3 @@ Root must independently review and admit any execution. An admitted paired pilot
the existing watchdog, device selection, `--gpu-gates-approved`, positive
`--max-wall-seconds` and a new output directory, adding only `--exchange-window` to the
selected collision's pilot command. No GPU or remote action was performed for this patch.
## Public Jet diagnostic option
`--collision MRT --exchange-window --jet-scenario zero|fixed|reverse` selects
unshifted FP32, no LES, constant transfer on both existing public backends. Default
`none` and the historical manifests remain unchanged. `zero` registers both Jets at
zero amplitude and retains every existing DFG verdict, including pressure. `fixed`
uses outward radial parabolic sectors at pi/2 and 3pi/2, half-width pi/12, peaks
(+.001,-.001). Both use the existing D40/D80 geometry and U=.01. Sector origins are
(80.5,81) in root edge coordinates and (160,160.5) in uniform node coordinates;
radial extent is [0,1.005R]. `reverse` keeps those peaks through t*=300, updates both
public setters at that completed boundary, and continues to 305 with opposite signs.
Fixed diagnostic windows are 250–260, 260–270, 270–280, 280–290 and 290–300; reversal
adds 300–305. Histories retain exact interval endpoints and root/uniform lattice
impulses. The refined window uses total exchange; uniform uses public `read_force`
batch averages. Driven windows report mean/min/max/RMS Cd/Cl without applying DFG
reference or periodicity gates. Exit zero means healthy execution, not qualification;
`matched_case_pass` remains false. No independent CV or stress-load claim is made.
This opt-in records current source/helper hashes with the existing manifest format,
checkout revision/dirty state and runner hash. Pilot/full must match that snapshot
and the exact scenario. It does not relabel current source as historical evidence.
Use the existing bounded plan/pilot/full commands with the three option flags above;
full requires the matching completed t*=5 paired pilot. `step_seconds` includes force
readback; observation/overhead and total wall time are separate, not kernel throughput.
Add `--observe-cv` to record independent scalar control-volume samples from the
already downloaded public macros. The pilot exercises this path at t*=.02..5;
full records 501 endpoints at 290..300. Each `cv_history.jsonl` row contains actual
root time, preceding interval start/duration/impulse, and two inventories/outward
fluxes ordered [mass,Px,Py]. Exclude the first row's preceding impulse: that row
supplies the initial inventory. Uniform native impulse converts by .5² to root
units; refined ledger impulse is already in root units. Explicit native-aligned
contours differ by .25 root cells in x and are recorded in the plan. Cropping
retains the two-cell face-gradient stencils. No fields or per-link arrays are saved.
`cv_observation_seconds` is the CV portion of observation/overhead time. Helper hash
and the observation flag must match pilot/full. Time integration, temporal
coarsening and any physical assessment remain separate offline work.
## Bounded resolution and placement controls
Defaults remain `--case both --uniform-diameter 80 --placement wide`. Single-case
runs use `--case uniform` or `--case refined` and never report a matched-case pass.
Their own reference/periodicity or driven-diagnostic results remain available.
A single zero-Jet full run exits successfully only when its periodicity and the
unchanged complete DFG reference verdict pass; driven completion is not qualification.
The D160 option requires `--case uniform --uniform-diameter 160` and an explicit
public Jet scenario. U and Jet speeds stay .01 and ±.001; viscosity is .016,
grid 3521×658, center (320,320.5), radius80. CV uses root spacing/time factor .25,
origin (.375,.75), impulse factor .0625, root viscosity .004, and x-face shift .125.
`--case refined --placement compact` selects root bounds (48,48,128,128), fine
168×168 and origin (46,46), with the same D40/fineD80 body/Jet resolution. Its CV
contours are (52,52,112,112) and (50,50,120,120); complete face-gradient stencils
are clear of both solids and the transfer footprint. Compact is refined-only.
CV metadata gives each grid's spacing/origin/contours explicitly. Case, uniform
diameter and placement must match the newly completed pilot in every receipt.
+300
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@@ -159,3 +159,303 @@ theoretical stress-consistency certification or production-kernel change.
## Repository integration
The four Python harness files remain together under tests/validation/taylor_green, so runtime provenance hashes precisely this harness directory. Formatting changes produce a new harness identity; preparation and integrated receipts must not be mixed. All analytic definitions, numerical floors, assessment gates, sample times, and source-import assertions are unchanged. Production source is unchanged from the cd3 snapshot; these periodic tests do not waive the separate channel GPU gate.
## Oblique shear wave (test-only diagnostic, not GPU-qualified)
`shear_wave.py` reuses the frozen oracle's constants, cell centers and
geometry. `oracle.py` is byte-identical, and `test_shear_wave.py` pins its
eec4677 SHA-256. `run_case.py --flow shear_wave` selects the shear wave;
the default flow and its receipt are the unchanged Taylor–Green path.
### Convention
Integer mode (2,1) on the L=N periodic root domain:
- the wavevector `k = (2*pi/L)*(2,1)` points 26.565° from +x;
- mode (1,2) would point 63.435°, and a wrong-mode test catches a swap.
Polarization is `E = (-1,2)/sqrt(5)`, perpendicular to k:
u = U*E*sin(k.x + phi)*exp(-nu*|k|^2*t), phi = 0, p = const, rho0 = 1
`nu = U*N/100`, the Taylor–Green Re100 viscosity at the same N. This is an
exact incompressible Navier–Stokes solution. The initial condition is FP64
second-order equilibrium at the actual leaf centers, with no
non-equilibrium part.
### Physical caveats
1. *Scope of the cubic-term argument.* The second-order D2Q9 equilibrium
lacks the cubic third moment `rho*u_a*u_b*u_g` of the Maxwellian (Dellar,
https://people.maths.ox.ac.uk/dellar/papers/Galilean.pdf, eq. 3). At
Navier–Stokes order this produces a stress error proportional to
`d_g(rho u_a u_b u_g)`.
For the ideal constant-density, zero-background transverse wave, k.E = 0
makes that contracted derivative vanish. That is the only claim made.
It does not remove other discrete or finite-Mach errors. It is not
guaranteed once AMR introduces density, longitudinal or higher-mode
contamination. The analytic NS field itself is exact.
2. *Startup.* Equilibrium initialization is not the discrete shear
eigenmode (Mei et al., https://doi.org/10.1016/j.compfluid.2005.08.008).
- The decay rate is a free-intercept least-squares fit of ln R over the
samples with t* >= 0.12, where `R = hypot(a_hat, b_hat)`.
- The intercept cancels only a constant amplitude prefactor, and only
once a single exponential dominates.
- Per-interval rates and the maximum log-fit residual are kept, so a
lingering transient stays visible.
- Late sampling alone does not show that transients have gone.
### Metrics
Computed on ACTIVE leaf cells, each weighted by its area `4**-level` in
root-cell units. The partition must cover the domain exactly once, and one
global pressure gauge is used.
- `a_hat`, `b_hat`: weighted least-squares fit of `u.E` onto sin/cos, using
the 2x2 Gram matrix of the actual composite quadrature. A wrong Fourier
mode need not project to exactly zero on this quadrature.
- `amplitude_error = R/A_exact - 1`.
- `phase_drift = atan2(b_hat, a_hat)`, in radians, reported separately.
- Rates are positive (minus the fitted slope).
- Per root step they are compared with `nu*|k|^2`. Uniform 2N uses its
own `nu = 0.0768` at N=256 and doubled step counts.
- In t* they are compared with `5*(2*pi)^2/Re = 1.97392088`.
- `rate_error = |rate/exact - 1|`.
- `velocity_l2`, `residual_l2` (velocity left after removing the fitted
mode) and `longitudinal_l2` (the `u.k_hat` part), all relative to the
exact-field norm. A longitudinal perturbation also raises the
full-vector residual and the velocity L2.
- `spurious_pressure_rms`: the raw gauged rms of `p = (rho-1)/3`.
- `spurious_pressure_scaled`: that rms divided by `A_exact(t)^2/4`, a
continuum reference scale. It is *not* the discrete, globally gauged
Taylor–Green norm on the composite grid. Exact pressure is constant, so
no relative-to-exact claim is made. Max and per-level values are kept.
### Preregistered screens (`shear_wave.assess`)
Run set: uniform N, uniform 2N, and refined depth-2 runs at root N.
- `eps(N) = (|k| h_root)^2 = 5*(2*pi/N)^2`: dimensionless, coefficient
one, 0.01205 at N=128. This is a chosen screen, not a proven error bound.
- Absolute screens:
- rate_error, max |phase_drift| (radians) and max residual_l2 must each
be <= eps;
- velocity_l2 <= 0.05, mass <= 1e-5, spurious_pressure_scaled <= 0.02.
- Budgets keep the `assess.py` form, `refined <= max(2*control_N, floor)`:
- floors are 0.002 for rate and residual, 0.02 for pressure;
- the comparative pressure budget is always redundant:
`max(2*control, 0.02)` is never below the 0.02 absolute ceiling;
- raw ratios to both the root and finest controls, including raw
pressure rms, are always reported.
- Every record is validated before any screen is applied:
- exact scheduled steps and t*, with no duplicates;
- every numeric field finite, including list fields and density;
- error quantities nonnegative and rho_min > 0;
- signed quantities (amplitudes, `amplitude_error`, `phase_drift`,
per-interval rate errors) keep their sign.
- Outcomes are kept distinct:
- INVALID_CONTROL: a control or refined run is missing, a control is
incomplete or invalid, or the records come from mixed sources;
- INVALID_RUN: a refined record fails validation;
- CONTROL_SCREEN_FAIL: complete, valid controls fail their own screens.
Each refined run's `own_screens_pass` is still reported, but
`controlled_pass` is false, so it is never a controlled-comparison pass;
- PASS/FAIL: every refined run's `controlled_pass` (own screens and
budgets against valid, passing controls).
- Finite modal extinction (late R = 0) is a physical failure, not
malformed data. The run gets `rate_fit_valid=false` with null fit
quantities, and its other metrics are kept. Nothing is clipped and no
rate is invented. The result is CONTROL_SCREEN_FAIL for a control, or
FAIL for a refined run.
- Screens are never retuned.
### Limitations
One flow, one phase and one rectangle, SRT only. The rectangle's vertical
faces span 0.625 tangential periods and its horizontal faces 1.5, so this
is not placement robustness. Two resolutions show a trend, not an order.
### Receipt assessment and runner integrity
- Fixed four-case N128 contract:
`python assess_shear_wave.py U128.json U256.json R128_constant.json R128_projected.json --output report.json --expected-revision <sha>`.
It reuses the shared provenance, build, workload and sample-time checks
from `assess_projected_pairs.py`, and adds shear metadata checks (flow,
mode, polarization, angle, phase, eps, limits, disabled early trace, and
pinned `shear_wave.py` hash).
- Missing, extra, duplicate or mixed-source records give `INVALID_SET`,
as does any failed shared check.
- Otherwise the result comes from `shear_wave.assess`, which separates
`INVALID_CONTROL` from `CONTROL_SCREEN_FAIL`.
- `run_case.verify_source(..., flow="shear_wave")` requires the imported
`shear_wave.py` to be the selected harness file with the pinned
`SHEAR_WAVE_SHA256`. The default TG flow does not import it.
- Sample and READY finiteness use `finite_row`, which accepts scalar and
list diagnostics. For TG's all-scalar rows it behaves the same as before.
- Merge note: native 92b8afe adds a `scaled_n256` receipt block. When the
two are merged, keep both blocks and make `--flow shear_wave` and
`scaled_n256` mutually exclusive. Not merged here.
### Scaled shear diagnostic (opt-in `scaled_shear_n256`)
Runner: `run_case.py --flow shear_wave --diagnostic scaled_shear_n256 --re 100`
with one of these four cases:
- `--n 256 --depth 1` (U256)
- `--n 512 --depth 1` (U512)
- `--n 256 --depth 2 --explosion constant` (constant R256)
- `--n 256 --depth 2 --explosion projected_linear` (projected R256)
Everything physical is unchanged from N128:
- `rectangles(256,2)` covers the same physical box;
- same t* schedule (16N root steps);
- `nu = U*N/100`;
- same `eps(N)`, limits and floors.
`scaled_n256` (Taylor–Green, from native 92b8afe) and `scaled_shear_n256`
each require their own flow, so they are mutually exclusive. N512 is
accepted only through one of the two diagnostics. The shear diagnostic
takes no early-pressure trace.
Assessment:
python assess_shear_wave.py U256.json U512.json R256_constant.json R256_projected.json \
--diagnostic scaled_shear_n256 --reference-files <four de5b0cc N128 receipts> \
--output report.json --expected-revision <sha>
- The scaled N256/512 case, build and workload checks come from the
92b8afe assessor. Its TG-only diagnostic identity and early-sampling
checks are not used. Instead every record must carry
`diagnostic=scaled_shear_n256`, and N128 records must carry none.
- The reference N128 receipts are hash-pinned to the audited de5b0cc
evidence (commit cba6bca). They are never relabelled as fresh controls.
- The report always includes, for each case:
- the raw signed rate bias `rate/exact - 1` and the interval errors;
- each refined run's signed excess over *each* uniform control (rate
bias, residual, raw pressure rms);
- the N128→N256 signed changes and ratios. The ratio is null when the
N128 value is zero.
- These are descriptive. Passing or failing another floor-controlled
screen is not the conclusion, and a two-resolution ratio is not a
convergence order.
- Portability: the receipt's recomputed `eps = |k|^2` is compared within
4 ULPs (`close_ulps`), not by exact equality. A cross-runtime replay
differed by one ULP: 0.012047856934923534 on Horsea vs
0.012047856934923532 elsewhere. Source and file hashes, case identity,
the other metadata and every scientific threshold stay exact.
### Nested shear preset (opt-in `nested_shear_n128`)
A fixed three-level, two-region preset, defined in `shear_nested.py`. The
wave, phase, Re100/U=0.03, initialization, five sample times, eps(root N),
limits and floors are the same as before.
- Refinements, given as parent-frame `(x0, y0, x1, y1)` rectangles on
level-wide, zero-origin unions:
- L0→L1: `(16,16,60,112)`, `(68,24,112,120)`
- L1→L2: `(44,44,108,212)`, `(148,60,212,228)`
- Leaves `[7936, 12288, 86016]`, hops `[2048, 4096, 8192]`, work
771227648 per refined case; 3723493376 for all four cases.
- Level ν `[.0384, .0768, .1536]`, τ `[.6152, .7304, .9608]`.
Cases (`run_case.py --flow shear_wave --diagnostic nested_shear_n128 --re 100`):
- `--n 128 --depth 1`
- `--n 512 --depth 1` — the finest control is 4N, not 2N
- `--n 128 --depth 3`
- `--n 128 --depth 3 --explosion projected_linear [--final-snapshot]`
`--final-snapshot` is allowed only for the projected depth-3 case. It writes
`<output>.final_macro.npz`, containing:
- ACTIVE leaves packed as `level`/`i`/`j`;
- `rho`, `ux`, `uy` from the FP64 physical populations at the final root
synchronization;
- embedded metadata: exact time, phase, mode and config.
It contains no populations, restart state or time series. Its SHA-256 and
size go into the receipt. A file over 8 MiB is removed and reported, never
kept. All old paths stay scalar-only.
Assessment: `assess_shear_wave.py U128.json U512.json R128c.json R128p.json
--diagnostic nested_shear_n128 --output report.json --expected-revision <sha>`.
- It reuses the case-agnostic provenance checks from the TG assessor, plus
exact nested scales, builds, patch, workload, metadata and the pinned
`shear_nested.py` hash.
- The physics is `shear_wave.assess` generalized only in its depth-3 / 4N
shape contract; the metrics are unchanged.
- `shear_wave.py` is byte-identical (81d5c8ee…), so historical receipt
identities and verdicts are untouched.
- This preset changes placement and refined volume as well as depth. It
gives no isolated cost of an extra level and no resolution trend.
### Depth-2 twin of the nested preset (opt-in `twin_shear_n128`)
`shear_twin.py` uses the same two L0→L1 boxes as `shear_nested.py`, with no
L2. Leaves are `[7936, 33792]`, hops `[2048, 4096]`, and work is 154664960 per
refined case (611319808 for all four).
The campaign is four fresh runs:
`run_case.py --flow shear_wave --diagnostic twin_shear_n128 --re 100` with
- `--n 128 --depth 1`
- `--n 256 --depth 1` (the finest control is 2N)
- `--n 128 --depth 2`
- `--n 128 --depth 2 --explosion projected_linear`
There is no snapshot option. Older exact controls serve only as consistency
checks; they are not reused as references.
Assessment uses the same preset contract as the nested preset, through
`assess_shear_wave.py ... --diagnostic twin_shear_n128`:
- the physics is the unchanged depth-2 / 2N `shear_wave.assess`;
- receipts must pin `shear_twin.py`, `shear_nested.py` and `shear_wave.py`;
- `shear_nested.py` stays byte-identical (fa6cfe87…), so the 335624c nested
receipts still validate.
Labels:
- *Twin vs nested* is the effect of adding this nested L2 refinement.
Removing L2 also changes the finest spacing and refined volume, so it does
not isolate abstract depth.
- *Twin vs the single-box depth-2 runs* is a placement/geometry contrast at
equal depth.
- Neither contrast is additive by construction.
- The thin-band/acoustic explanation for the nested L1 pressure is a
hypothesis, not established.
### Signed interface-probe traces (opt-in `--probe-trace`, mechanism diagnostic)
`shear_probes.py` (pinned) uses native's validated 24-target layout through
box 1, in root-128 physical coordinates:
- a horizontal line y = 56, crossing the vertical faces x = 16 and 22;
- a vertical line x = 38, crossing the horizontal faces y = 16 and 22;
- normal coordinates 12.5, 14.5, 15.5, 16.25, 17.25, 19.25, 20.75, 21.75,
22.125, 23.125, 24.125, 26.125.
Each target maps to the nearest ACTIVE leaf center. The deterministic tie
rule is: distance, then finer level, then smaller j, then smaller i. This
gives 24 unique cells in every case, and nested has 3 L0 + 5 L1 + 4 L2 per
transect. Maximum displacement from target to center is 0.625 root cells in
U128 (0.177 in U512).
Allowed cases:
- nested U128, nested U512, nested projected depth 3;
- twin projected depth 2.
The option can't be combined with `--final-snapshot`.
Sampling:
- The receipt stores each probe's leaf level, `i`/`j`, actual cell center
and displacement from its target, all in root-physical units (N=128).
- Grids differ between cases, so centers are *not* collocated. Analytic
fields are evaluated at each actual center (`shear_probes.residuals`), and
comparisons across cases are between residuals at nearby but distinct
centers.
- Times are root-physical steps 0–128 and 1920–2048. U512 is sampled every 4
lattice steps to match.
- Each sample stores `rho`, `ux`, `uy` from the FP64 physical populations,
POST-collision G at root synchronization only. No substep content is
observed, and grid-scale alternation can alias.
What's kept and enforced:
- The five qualification samples stay unchanged.
- No field dumps. The trace is validated for exact schedule, finiteness and
a 600 kB cap. If invalid it is dropped and an error is recorded, keeping
the scalar receipt.
- There are no new pass gates; this is a mechanism diagnostic only.
+2 -2
View File
@@ -90,8 +90,8 @@ def main():
# The caller owns the CUDA context; the stepper must be closed first (the
# nested with-statement does that).
with CudaContext(0) as context, FixedPatchStepper(
cfg, context=context, coarse_boundary=args.mode, refinements=[BOUNDS],
level_blocks=[None, fine_block], level_objects=[(), (body,)]) as run:
cfg, BOUNDS, context=context, coarse_boundary=args.mode,
fine_objects=[body], fine_block=fine_block) as run:
p = run.patch
# Rest equilibrium is already postcollision G, so no initial collision is
# needed. Non-leaf entries (covered, ghost, solid) are discarded by initialize.
+2 -2
View File
@@ -148,8 +148,8 @@ def main():
samples=[], status='running', last_synchronized_coarse_step=0)
start, run = time.monotonic(), None
try:
with CudaContext(0) as context, FixedPatchStepper(cfg, context=context,
coarse_boundary='slot_reservoir', refinements=[BOUNDS]) as run:
with CudaContext(0) as context, FixedPatchStepper(cfg, BOUNDS, context=context,
coarse_boundary='slot_reservoir') as run:
p = run.patch
masks = [np.ones(p.coarse_shape, bool), p.fine_kind == ACTIVE]
masks[0][[0, -1]] = False
+1 -1
View File
@@ -48,7 +48,7 @@ def main():
nx=16, ny=16, viscosity=.1, velocity=1e-3, rho=1.0,
lattice_model="D2Q9", collision="SRT", streaming="double_buffer",
store_precision="FP32", ddf_shifting=False, les_enabled=False)
with CudaContext(0) as context, PeriodicPatchStepper(cfg, context=context, refinements=[(4, 4, 12, 12)]) as run:
with CudaContext(0) as context, PeriodicPatchStepper(cfg, (4, 4, 12, 12), context=context) as run:
p = run.patch
coarse = shear_equilibrium(p.coarse_shape, (0, 0), 1.0, cfg.ny)
fine = shear_equilibrium(p.fine_shape, p.fine_origin, .5, cfg.ny)
+8 -16
View File
@@ -207,30 +207,22 @@ def surface_link_velocity(objects, cfg, flags, fluid_idx, dir, body_id, rx, ry,
jets=(), hits=None, *, _shifted_blocked=False):
"""Per-link prescribed surface velocity (n, 2) FP32 and aperture mask.
See _surface_links, which also returns the unit-amplitude jet shapes.
"""
return _surface_links(objects, cfg, flags, fluid_idx, dir, body_id, rx, ry, jets, hits,
_shifted_blocked=_shifted_blocked)[:2]
def _surface_links(objects, cfg, flags, fluid_idx, dir, body_id, rx, ry,
jets=(), hits=None, *, _shifted_blocked=False):
"""(velocity, aperture, jet shape, jet id); the last two are None without jets.
Host-only and storage-neutral: rows follow the given physical cut-link
order. Returns all None when neither an object carries surface
order. Returns (None, None) when neither an object carries surface
actuation nor a jet is given. Jets need true FP64 ``hits`` (n, 2) and may
not share a link with each other or with a legacy aperture.
Shifted storage is privately enabled only by the all-blocked stepper.
"""
enabled = [obj for obj in objects if obj.surface_actuation is not None]
if not enabled and not jets:
return None, None, None, None
from .preprocess.flag_overlay import validate_cut_link_ownership
validate_cut_link_ownership(flags, fluid_idx, dir, cfg.nq)
return None, None
from ..lbm.descriptors import FLUID, SOLID
if np.any((flags[fluid_idx] & FLUID) == 0) or np.any(flags[fluid_idx] & SOLID):
raise ValueError("Surface cut links must have active fluid receivers")
if len(np.unique(fluid_idx.astype(np.uint64)*cfg.nq+dir)) != len(dir):
raise ValueError("Surface boundary requires unique cut-link writers")
surface_velocity = np.zeros((len(dir), 2), np.float32)
surface_aperture = np.zeros(len(dir), bool)
shape = jet_id = None
for obj in enabled:
obj.validate_surface_actuation(cfg)
selected = body_id == obj.obj_id
@@ -263,4 +255,4 @@ def _surface_links(objects, cfg, flags, fluid_idx, dir, body_id, rx, ry,
raise ValueError("Jet overlaps a SurfaceActuation aperture")
surface_velocity[driven] = jet_link_velocity(jets, shape, jet_id)[driven]
surface_aperture |= driven
return surface_velocity, surface_aperture, shape, jet_id
return surface_velocity, surface_aperture
+12 -17
View File
@@ -27,7 +27,7 @@ import pycuda.driver as cuda
from .objects import SimObject
from .registry import BodyRegistry
from .preprocess.flag_overlay import merge_flag_masks, validate_cut_link_ownership
from .preprocess.flag_overlay import merge_flag_masks
from ..cuda.compiler_v2 import obs_layout
from ..cuda.obs_layout import ObsLayout
from ..lbm.descriptors import (
@@ -369,9 +369,9 @@ class ObjectManager:
Args:
objects: List of SimObject instances to process.
domain_flags: Optional uint16 flags for receiver/donor classification.
domain_flags: Optional uint16 flags for donor-cell classification.
sensor_cell_counts_out: Int array to fill with per-object sensor
cell counts after the full geometry has passed validation.
cell counts. If provided, ``fill(0)`` is called first.
hits_out: List that receives one FP64 (n, 2) array of true hit
points row-aligned with the cut-link columns (for Jets).
@@ -394,8 +394,8 @@ class ObjectManager:
active_fluid = ((domain_flags & FLUID) != 0) & ((domain_flags & SOLID) == 0)
force_owners: set[int] = set()
sensor_counts = (np.zeros_like(sensor_cell_counts_out)
if sensor_cell_counts_out is not None else None)
if sensor_cell_counts_out is not None:
sensor_cell_counts_out.fill(0)
ez = None
if self.cfg and self.cfg.is_d3q19:
@@ -430,9 +430,9 @@ class ObjectManager:
if len(cells) > 0:
s_cells.append(cells)
s_ids.append(ids)
if (sensor_counts is not None
and 0 <= obj.obj_id < sensor_counts.size):
sensor_counts[obj.obj_id] = int(len(cells))
if (sensor_cell_counts_out is not None
and 0 <= obj.obj_id < sensor_cell_counts_out.size):
sensor_cell_counts_out[obj.obj_id] = int(len(cells))
if obj.is_force_region and hasattr(obj, 'get_sensor_list'):
cells, ids = obj.get_sensor_list(self.nx, self.ny, self.nz)
keep = active_fluid[cells]
@@ -461,9 +461,8 @@ class ObjectManager:
r_fr_ids = np.concatenate(fr_ids) if fr_ids else np.zeros(0, dtype=np.int32)
r_hit = np.concatenate(cl_hit) if cl_hit else np.zeros((0, 2))
# Passive walls need the same ownership guarantees as driven walls.
# Overlapping solids are not a supported union-boundary operation.
validate_cut_link_ownership(domain_flags, r_idx, r_dir, self.nq)
if hits_out is not None:
hits_out.append(r_hit)
if self.jets or any(obj.surface_actuation is not None for obj in objects):
# Reject unresolved apertures/ownership before sync or restart mutates state.
from ..lbm.curved_links import CurvedLinkSoA
@@ -471,11 +470,6 @@ class ObjectManager:
links.assign_host(r_idx, r_dir, r_q, r_bid, r_rx, r_ry, r_rz, r_fallback)
links.assign_surface(objects, self.cfg, domain_flags, jets=self.jets, hits=r_hit)
if sensor_cell_counts_out is not None:
sensor_cell_counts_out[:] = sensor_counts
if hits_out is not None:
hits_out.append(r_hit)
return (
r_idx, r_dir, r_q, r_bid,
r_rx, r_ry, r_rz, r_fallback,
@@ -493,6 +487,8 @@ class ObjectManager:
the caller has already prepared and uploaded the final flag field
for this geometry, such as during initialization.
"""
self._telemetry_field = field
next_flags = self.build_flags(field.build_channel_flags()) if rebuild_flags else field.flag
hits = []
@@ -503,7 +499,6 @@ class ObjectManager:
fr_cells, fr_obj_id,
) = self.build_compact_lists(domain_flags=next_flags, hits_out=hits)
self._telemetry_field = field
if rebuild_flags:
field.flag = next_flags
field.upload_flags()
+1 -10
View File
@@ -1,6 +1,6 @@
# CelerisLab/body/preprocess/flag_overlay.py
"""
Flag overlay and cut-link ownership checks against the merged domain.
Flag overlay: merge per-object flag masks onto a clean domain base.
"""
from __future__ import annotations
@@ -12,15 +12,6 @@ import numpy as np
from ...lbm.descriptors import FLUID, SOLID, SENSOR_FLAG, FRC_REGION
def validate_cut_link_ownership(flags, fluid_idx, directions, nq):
"""Reject solid receivers and multiple writers to one population."""
if np.any((flags[fluid_idx] & FLUID) == 0) or np.any(flags[fluid_idx] & SOLID):
raise ValueError("Cut links must have active fluid receivers")
writers = fluid_idx.astype(np.uint64) * nq + directions
if len(np.unique(writers)) != len(directions):
raise ValueError("Boundary requires unique cut-link writers")
def merge_flag_masks(
base: np.ndarray,
masks: List[np.ndarray],
+1 -1
View File
@@ -60,7 +60,7 @@ Python `config.py` 只负责读取和校验,不是配置位置。显式配置
**`lbm/kernels/config/*.h` 由编译器根据 `LBMConfig` 自动生成,请勿手改。**
仓库中检入的 `config/*.h` 可能是历史版本。`compiler_v2.generate_config` 会复制 kernel 源码到独立临时构建目录,并在副本中生成配置;不会改写包内头文件或 PTX。返回目录须显式传给 `compile_kernel(build_dir=...)`,编译结果与配置摘要均保存在该目录。`Simulation` 负责目录清理;直接使用编译器的调用者须调用 `cleanup_build_dir()`。跳过生成配置直接编译仓库中的 `uniform.cu` 属不受支持用法。
仓库中检入的 `config/*.h` 可能是历史版本。`compiler_v2.generate_config` 会复制 kernel 源码到独立临时构建目录,并在副本中生成配置;不会改写包内头文件或 PTX。返回目录须显式传给 `compile_kernel(build_dir=...)`,编译结果与配置摘要均保存在该目录。`Simulation` 负责目录清理;直接使用编译器的调用者须调用 `cleanup_build_dir()`。跳过生成配置直接编译仓库中的 `kernel_v2.cu` 属不受支持用法。
```
config_lbm.json
+37 -46
View File
@@ -2,13 +2,10 @@
"""
Kernel configuration, compilation, and module loading.
Owners call build_module(cfg, entry, arch=...), then set_params(module, omega, ...).
build_module runs, in a private directory it removes afterwards:
Workflow:
1. build_dir = generate_config(lbm_cfg, n_objects) — isolated source snapshot
2. compile_kernel(arch, source=entry, build_dir=build_dir) — nvcc -ptx
2. compile_kernel(arch, build_dir=build_dir) — nvcc -ptx kernel_v2.cu
3. load_module(ptx_path) — PyCUDA module from PTX
Entries: uniform.cu (uniform grid), blocked.cu (blocked level), refinement.cu
(dense refinement level).
"""
from __future__ import annotations
@@ -19,6 +16,7 @@ import shutil
import tempfile
import hashlib
import json
from contextvars import ContextVar
from dataclasses import asdict
from pathlib import Path
from typing import Optional
@@ -35,6 +33,9 @@ _KERNEL_DIR = os.path.join(
)
_last_build_dir = ContextVar("celeris_last_build_dir", default=None)
_last_ptx_path = ContextVar("celeris_last_ptx_path", default=None)
def kernel_path(filename: str) -> str:
return os.path.join(_KERNEL_DIR, filename)
@@ -53,16 +54,14 @@ def _write(path: str, content: str):
def generate_config(cfg: LBMConfig, n_objects: int = 0,
*, build_root: Optional[str] = None, block_root_bc: int = 0) -> str:
*, build_root: Optional[str] = None) -> str:
"""Snapshot kernels and render headers in a fresh private directory.
Returns its path; pass it to compile_kernel(build_dir=...). The caller owns cleanup_build_dir() once the loaded module is no longer
Returns its path. Pass it explicitly to compile_kernel for interleaved
builds. Legacy generate_config(); compile_kernel() remains context-local.
The caller owns cleanup_build_dir() once the loaded module is no longer
needed for recompilation/debugging. No package files are changed.
block_root_bc specializes a blocked root module; fine/dense builds use 0.
"""
if (isinstance(block_root_bc, bool) or not isinstance(block_root_bc, int)
or block_root_bc not in (0, 1, 2)):
raise ValueError("block_root_bc must be an integer mode 0, 1 or 2")
macros = cfg.to_macros()
if isinstance(n_objects, bool) or not isinstance(n_objects, int) or n_objects < 0:
raise ValueError("n_objects must be a nonnegative integer")
@@ -72,19 +71,20 @@ def generate_config(cfg: LBMConfig, n_objects: int = 0,
try:
shutil.copytree(_KERNEL_DIR, build_dir, dirs_exist_ok=True,
ignore=shutil.ignore_patterns("*.ptx", "*.cubin", "*.tmp"))
_render_config(macros, n_objects, os.path.join(build_dir, "config"),
block_root_bc=block_root_bc)
_render_config(macros, n_objects, os.path.join(build_dir, "config"))
digest = hashlib.sha256()
for path in sorted(Path(build_dir).rglob("*")):
if path.is_file():
digest.update(str(path.relative_to(build_dir)).encode())
digest.update(path.read_bytes())
metadata = {"source_sha256": digest.hexdigest(), "config": asdict(cfg),
"n_objects": n_objects, "block_root_bc": block_root_bc}
"n_objects": n_objects}
_write(os.path.join(build_dir, ".celeris-build"), json.dumps(metadata, sort_keys=True))
except BaseException:
shutil.rmtree(build_dir)
raise
_last_build_dir.set(build_dir)
_last_ptx_path.set(None)
return build_dir
@@ -96,9 +96,12 @@ def cleanup_build_dir(build_dir: Optional[str]) -> None:
if path == Path(_KERNEL_DIR).resolve() or not (path / ".celeris-build").is_file():
raise ValueError("Refusing to remove a directory not owned by the compiler")
shutil.rmtree(path)
if _last_build_dir.get() == str(build_dir):
_last_build_dir.set(None)
_last_ptx_path.set(None)
def _render_config(m: dict, n_objects: int, cdir: str, *, block_root_bc: int = 0):
def _render_config(m: dict, n_objects: int, cdir: str):
_write(os.path.join(cdir, "config_grid.h"), f"""{_HEADER}\
// Layer: Global / Grid
#ifndef CELERIS_CONFIG_GRID_H
@@ -162,9 +165,6 @@ def _render_config(m: dict, n_objects: int, cdir: str, *, block_root_bc: int = 0
#define STORE_PRECISION {m['STORE_PRECISION']}
#define USE_DDF_SHIFTING {m['USE_DDF_SHIFTING']}
// Internal blocked root mode: 0=periodic/fine, 1=slot/reservoir, 2=channel.
#define BLOCK_ROOT_BC {block_root_bc}
#define USE_LES {m['USE_LES']}
#define LES_CS {m['LES_CS']}
#define LES_CLOSED_FORM {m['LES_CLOSED_FORM']}
@@ -241,9 +241,13 @@ def _render_config(m: dict, n_objects: int, cdir: str, *, block_root_bc: int = 0
# ---------------------------------------------------------------------------
# Compilation
# ---------------------------------------------------------------------------
def compile_kernel(arch: str = "sm_70", source: str = "uniform.cu",
output: Optional[str] = None, *, build_dir: str) -> str:
"""Compile the snapshot in build_dir (from generate_config); never package headers."""
def compile_kernel(arch: str = "sm_70", source: str = "kernel_v2.cu",
output: Optional[str] = None, *,
build_dir: Optional[str] = None) -> str:
"""Compile a generated private source snapshot; never use package headers."""
# A failed attempt must not make implicit load_module() reuse older code.
_last_ptx_path.set(None)
build_dir = build_dir or _last_build_dir.get()
if not build_dir or not (Path(build_dir) / ".celeris-build").is_file():
raise RuntimeError("Call generate_config() and pass its build_dir before compiling")
root = Path(build_dir).resolve()
@@ -268,36 +272,23 @@ def compile_kernel(arch: str = "sm_70", source: str = "uniform.cu",
finally:
if os.path.exists(tmp):
os.unlink(tmp)
_last_ptx_path.set(str(dst))
return str(dst)
def load_module(ptx_path: str):
"""Load one compiled PTX file as a new PyCUDA module."""
def load_module(ptx_path: Optional[str] = None):
"""Load explicit PTX or the last PTX compiled in this Python context."""
ptx_path = ptx_path or _last_ptx_path.get()
if not ptx_path:
raise RuntimeError("No compiled PTX; call compile_kernel() first")
import pycuda.driver as cuda
return cuda.module_from_file(ptx_path)
def build_module(cfg: LBMConfig, source: str, *, arch: str, n_objects: int = 0,
block_root_bc: int = 0):
"""Generate, compile and load one private module; the build directory is removed.
# ---------------------------------------------------------------------------
# Back-compat helpers (used by test scripts)
# ---------------------------------------------------------------------------
The single build path of every owner (Simulation, PeriodicBlockStepper,
FixedPatchStepper levels). Each call returns a NEW module: callers must not
share it, because its globals (d_params, ...) are mutable per module.
"""
build_dir = generate_config(cfg, n_objects=n_objects, block_root_bc=block_root_bc)
try:
return load_module(compile_kernel(arch, source=source, build_dir=build_dir))
finally:
cleanup_build_dir(build_dir)
def set_params(module, omega: float, fx: float = 0.0, fy: float = 0.0, fz: float = 0.0,
n_objects: int = 0) -> None:
"""Write the module's __constant__ LBMParams (core/params.cuh layout)."""
import struct
import pycuda.driver as cuda
ptr, size = module.get_global("d_params")
if size != struct.calcsize("=ffffI"):
raise RuntimeError("LBMParams host/device layout mismatch")
cuda.memcpy_htod(ptr, struct.pack("=ffffI", omega, fx, fy, fz, n_objects))
def compile_kernel_v2(arch: str = "sm_70") -> str:
"""Alias for compile_kernel() kept for test-script compatibility."""
return compile_kernel(arch=arch)
+15 -16
View File
@@ -12,6 +12,7 @@ parameter mutation; wall/slot/inlet fields in cfg are ignored.
"""
from dataclasses import replace
from numbers import Integral
import struct
from threading import RLock
import numpy as np
@@ -128,8 +129,16 @@ class PeriodicBlockStepper:
config.validate()
if not np.isclose(config.omega, 1 / (3 * checked.viscosity + .5), rtol=1e-14, atol=0):
raise RuntimeError("block omega/tau mismatch")
module = compiler.build_module(config, "blocked.cu", arch=self.ctx.sm_arch)
compiler.set_params(module, config.omega)
build = compiler.generate_config(config)
try:
ptx = compiler.compile_kernel(self.ctx.sm_arch, source="blocks.cu", build_dir=build)
module = compiler.load_module(ptx)
finally:
compiler.cleanup_build_dir(build)
ptr, size = module.get_global("d_params")
if size != struct.calcsize("=ffffI"):
raise RuntimeError("LBMParams host/device layout mismatch")
cuda.memcpy_htod(ptr, struct.pack("=ffffI", config.omega, 0, 0, 0, 0))
self._module = module
self._current = self._allocate(self._bytes)
self._spare = self._allocate(self._bytes)
@@ -195,21 +204,11 @@ class PeriodicBlockStepper:
raise
def step(self, n=1):
"""Advance n steps: halo refresh, then core pull/collide, per step.
All n steps are enqueued in order on the one stream and the host waits
once before returning (same launches and bits as n step(1) calls).
Asynchronous device errors surface at that single wait, so they are not
attributed to the step that caused them; call step(1) repeatedly to
localize one. On any failure the instance is failed and step_count keeps
its entry value.
"""
"""Advance n steps: halo refresh, then core pull/collide, per step."""
if isinstance(n, bool) or not isinstance(n, Integral) or n < 0:
raise ValueError("n must be a nonnegative integer")
with self._lock, self.ctx.activate():
self._require("ready")
if n == 0:
return
kw = dict(block=self._block, stream=self._stream)
try:
self._status = "advancing"
@@ -225,9 +224,9 @@ class PeriodicBlockStepper:
self._step(self._current, self._spare, np.uint32(self.layout.halo),
self._tables.get("flags", np.uintp(0)), np.uintp(0), # no kind
grid=self._grid, **kw)
self._current, self._spare = self._spare, self._current # host handles only
self._stream.synchronize()
self._step_count += n
self._stream.synchronize()
self._current, self._spare = self._spare, self._current
self._step_count += 1
self._status = "ready"
except BaseException:
self._status = "failed"
+4 -2
View File
@@ -94,10 +94,12 @@ class CurvedLinkSoA:
"""
self.surface_velocity = self.aperture = None
self.jets, self.jet_shape, self.jet_id = tuple(jets), None, None
from ..body.jets import _surface_links
self.surface_velocity, self.aperture, self.jet_shape, self.jet_id = _surface_links(
self.surface_velocity, self.aperture = surface_link_velocity(
objects, cfg, flags, self.fluid_idx, self.dir, self.body_id, self.rx, self.ry,
jets=self.jets, hits=hits)
if self.jets:
from ..body.jets import jet_link_shapes
self.jet_shape, self.jet_id = jet_link_shapes(self.jets, hits)
def set_jet_amplitude(self, index, amplitude, stream=None):
"""Rewrite jet rows from cached shapes; re-upload only the velocity column.
-49
View File
@@ -1,49 +0,0 @@
// CelerisLab/lbm/kernels/blocked.cu
// One fixed-size blocked level (lbm/blocks.py layout), specialized at compile
// time for periodic/fine, slot/reservoir or channel stepping. Separate
// compilation entry: NX, NY are the block window including halo, so index_f
// and linear_index address one block; blockIdx.z selects the block, whose
// populations start at b*NQ*TOTAL_CELLS (block-contiguous, Q-major inside).
#include <stdint.h>
#include <math.h>
#include "config.h"
#include "core/precision.cuh"
#include "core/descriptors.cuh"
#include "core/layout.cuh"
#include "core/params.cuh"
#include "core/flags.cuh"
#include "core/obs.cuh"
#include "core/cell_kind.cuh"
#include "operators/macro.cuh"
#include "operators/collision_srt.cuh"
#if COLLISION_MODEL == 2
#include "operators/collision_mrt.cuh"
#endif
#include "streaming/pull_double_buffer.cuh"
#include "boundary/curved_boundary.cuh"
#if DIM != 2 || NQ != 9 || (COLLISION_MODEL != 0 && COLLISION_MODEL != 2) || STORE_PRECISION != 0 || USE_LES || STREAMING_MODEL != 0
#error "Blocks require FP32 D2Q9 SRT or MRT double buffers without LES"
#endif
#ifndef BLOCK_ROOT_BC
#error "Blocks require a generated BLOCK_ROOT_BC mode"
#elif BLOCK_ROOT_BC < 0 || BLOCK_ROOT_BC > 2
#error "BLOCK_ROOT_BC must be 0, 1 or 2"
#endif
#if BLOCK_ROOT_BC == 1
#include "boundary/block_wall.cuh"
#endif
#if BLOCK_ROOT_BC != 2
#include "operators/block_collision.cuh"
#endif
// Kernels, in definition order: transfers, boundary staging, then the one full
// step selected for this module (BlockStep, or BlockChannelStep for a channel root).
#include "step/block_transfer.cu"
#include "step/block_boundary.cu"
#if BLOCK_ROOT_BC != 2
#include "step/block_step.cu"
#else
#include "step/block_channel.cu"
#endif
+206
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@@ -0,0 +1,206 @@
// CelerisLab/lbm/kernels/blocks.cu
// One periodic level of fixed-size blocks (lbm/blocks.py layout). Separate
// compilation entry: NX, NY are the block window including halo, so index_f
// and linear_index address one block; blockIdx.z selects the block, whose
// populations start at b*NQ*TOTAL_CELLS (block-contiguous, Q-major inside).
#include <stdint.h>
#include <math.h>
#include "config.h"
#include "core/precision.cuh"
#include "core/descriptors.cuh"
#include "core/layout.cuh"
#include "core/params.cuh"
#include "core/flags.cuh"
#include "core/obs.cuh"
#include "operators/macro.cuh"
#include "operators/collision_srt.cuh"
#if COLLISION_MODEL == 2
#include "operators/collision_mrt.cuh"
#endif
#include "streaming/pull_double_buffer.cuh"
#include "boundary/curved_boundary.cuh"
#include "boundary/planar_velocity.cuh"
#if DIM != 2 || NQ != 9 || (COLLISION_MODEL != 0 && COLLISION_MODEL != 2) || STORE_PRECISION != 0 || USE_LES || STREAMING_MODEL != 0
#error "Blocks require FP32 D2Q9 SRT or MRT double buffers without LES"
#endif
// Fixed-patch cell kinds, matching refinement.py ACTIVE/INNER_GHOST/OUTER_GHOST.
constexpr unsigned char KIND_ACTIVE = 0u, KIND_INNER = 1u, KIND_OUTER = 2u;
// Zero-initialized for ordinary blocks/fine levels. Set only for parent walls;
// NX/NY remain local storage strides, never physical wall coordinates.
struct BlockWall { unsigned int nx, ny, slot_width; float amplitude; };
extern "C" { __constant__ BlockWall d_block_wall; }
// Halo refresh: block cell ids b*TOTAL_CELLS+c, sources are always core cells.
extern "C" __global__ void BlockHaloCopy(
fpxx* f, const uint64_t* dst, const uint64_t* src, unsigned int count)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
const uint64_t d = dst[row], s = src[row];
fpxx* to = f + (d / TOTAL_CELLS) * NQ * TOTAL_CELLS;
const fpxx* from = f + (s / TOTAL_CELLS) * NQ * TOTAL_CELLS;
for (unsigned int q = 0; q < NQ; ++q)
to[index_f(d % TOTAL_CELLS, q)] = from[index_f(s % TOTAL_CELLS, q)];
}
// Fixed-patch explosion into blocked fine storage: target = owner block cell
// id of a patch-ghost cell; donors are parent block cell ids. Dense parent
// storage is the one-window case with coarse_cells = full domain size.
extern "C" __global__ void BlockExplode(
const fpxx* coarse, fpxx* fine, const uint64_t* target, const uint64_t* donor,
unsigned int count, unsigned long coarse_cells)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
const uint64_t t = target[row];
fpxx* to = fine + (t / TOTAL_CELLS) * NQ * TOTAL_CELLS;
const uint64_t d = donor[row];
const fpxx* from = coarse + (d / coarse_cells) * NQ * coarse_cells;
for (unsigned int q = 0; q < NQ; ++q)
to[index_f(t % TOTAL_CELLS, q)] = from[q * coarse_cells + d % coarse_cells];
}
// Experimental Schornbaum--Ruede (arXiv:1508.07982, Algorithm 2)
// and Chen et al. (doi:10.1016/j.physa.2005.09.036) population interpolation.
// Independent implementation of the mathematical stencil; no upstream source copied.
// Stencil cells are owner cores; a disabled axis repeats its center twice.
extern "C" __global__ void BlockExplodeProjected(
const fpxx* coarse, fpxx* fine, const uint64_t* target, const uint64_t* donor,
unsigned int count, unsigned long coarse_cells,
const uint64_t* neighbors, const float* offsets)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
const uint64_t t = target[row], d = donor[row];
fpxx* to = fine + (t / TOTAL_CELLS) * NQ * TOTAL_CELLS;
for (unsigned int q = 0; q < NQ; ++q) {
float v[4];
for (unsigned int a = 0; a < 4; ++a) {
const uint64_t n = neighbors[4ul * row + a];
v[a] = coarse[(n / coarse_cells) * NQ * coarse_cells
+ q * coarse_cells + n % coarse_cells];
}
float gx = .5f * (v[1] - v[0]), gy = .5f * (v[3] - v[2]);
const float ex = d_cx[q], ey = d_cy[q];
if (q != 0) {
const float along = (ex * gx + ey * gy) / (ex * ex + ey * ey);
gx -= ex * along;
gy -= ey * along;
}
to[index_f(t % TOTAL_CELLS, q)] =
coarse[(d / coarse_cells) * NQ * coarse_cells + q * coarse_cells + d % coarse_cells]
+ offsets[2ul * row] * gx + offsets[2ul * row + 1] * gy;
}
}
// Targets are receiver-local SOURCE slots for the immediately following pull.
// Keep child summation order identical to PatchCoarseStep; no collision here.
extern "C" __global__ void BlockCoalesce(
const fpxx* fine, fpxx* coarse, const uint64_t* target, const uint64_t* children,
unsigned int count)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
const uint64_t* s = children + 4ul * row;
coarse[target[row]] = 0.25f * (fine[s[0]] + fine[s[1]] + fine[s[2]] + fine[s[3]]);
}
// Static cut links, receiver-local staging: cell is the receiver's local core
// cell, so the existing BFL writes the solid-source window image that this
// block's next pull reads (no halo copy between this kernel and BlockStep).
// surface_velocity (nullable, 2 floats per link): prescribed fluid velocity on
// fixed geometry, same convention as CurvedBoundaryKernel. Optional raw rows
// (jx,jy,torque,dm) are unique physical links, never body-observation slots.
extern "C" __global__ void BlockCurvedBoundary(
fpxx* f, const uint32_t* block, const uint32_t* cell, const unsigned char* dir,
const float* q, const unsigned char* fallback, unsigned int count,
const float* surface_velocity, const float* rx, const float* ry, float* raw)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
float Uw = 0.0f, Vw = 0.0f;
if (surface_velocity != nullptr) {
const float u = surface_velocity[2 * row], v = surface_velocity[2 * row + 1];
if (u != 0.0f || v != 0.0f) { Uw = u; Vw = v; }
}
apply_bouzidi_link(dir[row], q[row], cell[row], f + (unsigned long)block[row] * NQ * TOTAL_CELLS,
Uw, Vw, rx ? rx[row] : 0.0f, ry ? ry[row] : 0.0f,
fallback[row], nullptr, -1, raw ? raw + 4ul * row : nullptr,
raw ? raw + 4ul * row + 3 : nullptr);
}
// Same-stream BFL -> this row-owned accumulation -> pull step. No atomics,
// no cross-row reduction and no history allocation proportional to substeps.
extern "C" __global__ void BlockAccumulateExchange(
const float* raw, double* integral, unsigned int count, double h, double dt)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
const unsigned long k = 4ul * row;
const double impulse = h * dt;
integral[k] += impulse * (double)raw[k];
integral[k + 1] += impulse * (double)raw[k + 1];
integral[k + 2] += h * impulse * (double)raw[k + 2];
integral[k + 3] += h * h * (double)raw[k + 3];
}
// Pull/collide/store core cells only; halo cells of out are left untouched.
// flags (block cell ids, nullable): solid cores store NaN and never collide.
// kind (block cell ids, nullable = all ACTIVE): OUTER skips the pull and
// stores NaN, INNER pulls without collision, ACTIVE pulls and collides.
extern "C" __global__ void BlockStep(const fpxx* in, fpxx* out, unsigned int halo,
const uint16_t* flags, const unsigned char* kind) {
unsigned int x, y; unsigned long k;
index_from_thread(x, y, k);
if (x < halo || y < halo || x >= NX - halo || y >= NY - halo) return;
const unsigned long base = (unsigned long)blockIdx.z * NQ * TOTAL_CELLS;
const unsigned long cell = (unsigned long)blockIdx.z * TOTAL_CELLS + k;
const unsigned char cell_kind = kind != nullptr ? kind[cell] : KIND_ACTIVE;
float f[NQ];
if (cell_kind == KIND_OUTER || (flags != nullptr && is_solid(flags[cell]))) {
for (int q = 0; q < NQ; ++q) f[q] = NAN;
} else {
unsigned long j[NQ];
compute_neighbors(x, y, j); // Core neighbors stay inside the window: no wrap.
stream_pull_load(k, f, in + base, j);
if (cell_kind == KIND_ACTIVE) {
if (d_block_wall.nx != 0) {
const unsigned int bx = NX - 2 * halo, by = NY - 2 * halo;
const unsigned int nbx = d_block_wall.nx / bx;
const unsigned int gx = (blockIdx.z % nbx) * bx + x - halo;
const unsigned int gy = (blockIdx.z / nbx) * by + y - halo;
if (gy == 1)
reconstruct_bottom_velocity(f, 0.0f, bottom_wall_normal_velocity(
gx, d_block_wall.nx, d_block_wall.slot_width, d_block_wall.amplitude));
else if (gy == d_block_wall.ny - 2) reconstruct_top_reservoir(f, RHO);
}
#if COLLISION_MODEL == 2
// Uniform MRT sequence (collide_dispatch, zero forcing); SRT path below unchanged.
float rho, ux, uy;
compute_rho_u(f, rho, ux, uy);
collide_mrt_no_force(f, rho, ux, uy,
fminf(OMEGA_COLLISION_MAX, fmaxf(OMEGA_COLLISION_MIN, d_params.omega)));
#else
float rho, ux, uy, feq[NQ];
compute_rho_u(f, rho, ux, uy);
#if USE_DDF_SHIFTING
// Preserve the density perturbation before adding the unit reference.
const float drho = f[0]+f[1]+f[2]+f[3]+f[4]+f[5]+f[6]+f[7]+f[8];
const float jx = f[1]-f[2]+f[5]-f[6]+f[7]-f[8];
const float jy = f[3]-f[4]+f[5]-f[6]-f[7]+f[8];
compute_feq_from_momentum(drho, jx, jy, ux, uy, feq);
#else
compute_feq(rho, ux, uy, feq);
#endif
collide_srt_no_force(f, feq, d_params.omega);
#endif
}
}
stream_pull_store(k, f, out + base);
}
// Root channel closure; fine and periodic levels keep BlockStep.
#include "step/block_channel.cu"
@@ -1,20 +0,0 @@
// Physical parent walls; NX/NY remain local storage strides.
#ifndef CELERIS_BOUNDARY_BLOCK_WALL_CUH
#define CELERIS_BOUNDARY_BLOCK_WALL_CUH
#include "planar_velocity.cuh"
struct BlockWall { unsigned int nx, ny, slot_width; float amplitude; };
extern "C" { __constant__ BlockWall d_block_wall; }
__device__ __forceinline__ void block_wall(float* f, unsigned int x, unsigned int y,
unsigned int halo) {
unsigned int gx, gy;
block_global_xy(x, y, halo, d_block_wall.nx, gx, gy);
if (gy == 1)
reconstruct_bottom_velocity(f, 0.0f, bottom_wall_normal_velocity(
gx, d_block_wall.nx, d_block_wall.slot_width, d_block_wall.amplitude));
else if (gy == d_block_wall.ny - 2) reconstruct_top_reservoir(f, RHO);
}
#endif
@@ -15,13 +15,10 @@
// D2Q9 y-wall half-way bounce-back for pull double-buffer streaming.
// ---------------------------------------------------------------------------
#if LATTICE_MODEL == LATTICE_D2Q9
// Rows 1 and top_row (= physical ny - 2) next to walls at rows 0 and ny - 1.
// y is the physical row; k addresses the node in fi_in (a block window may
// have NX/NY strides different from the physical extent).
__device__ inline void apply_wall_bb_d2q9_rows(unsigned int y, unsigned int top_row,
float* __restrict__ f,
const fpxx* __restrict__ fi_in,
unsigned long k)
__device__ inline void apply_wall_bb_d2q9_y_pull(unsigned int y,
float* __restrict__ f,
const fpxx* __restrict__ fi_in,
unsigned long k)
{
if (y == 1) {
// Directions sourced from y=0 wall in pull step: +y, +x+y, -x+y.
@@ -29,22 +26,14 @@ __device__ inline void apply_wall_bb_d2q9_rows(unsigned int y, unsigned int top_
f[5] = load_ddf(fi_in, index_f(k, 6u));
f[8] = load_ddf(fi_in, index_f(k, 7u));
}
else if (y == top_row) {
// Directions sourced from the y = ny - 1 wall in pull step: -y, -x-y, +x-y.
else if (y == (unsigned int)(NY - 2)) {
// Directions sourced from y=NY-1 wall in pull step: -y, -x-y, +x-y.
f[4] = load_ddf(fi_in, index_f(k, 3u));
f[6] = load_ddf(fi_in, index_f(k, 5u));
f[7] = load_ddf(fi_in, index_f(k, 8u));
}
}
__device__ inline void apply_wall_bb_d2q9_y_pull(unsigned int y,
float* __restrict__ f,
const fpxx* __restrict__ fi_in,
unsigned long k)
{
apply_wall_bb_d2q9_rows(y, (unsigned int)(NY - 2), f, fi_in, k);
}
// ---------------------------------------------------------------------------
// D2Q9 y-wall free-slip (specular reflection) for pull double-buffer streaming.
//
@@ -8,9 +8,6 @@
#define STORE_PRECISION 0
#define USE_DDF_SHIFTING 0
// Internal blocked root mode: 0=periodic/fine, 1=slot/reservoir, 2=channel.
#define BLOCK_ROOT_BC 0
#define USE_LES 0
#define LES_CS 0.160000f
#define LES_CLOSED_FORM 1
@@ -1,16 +0,0 @@
// CelerisLab – core/cell_kind.cuh
// Fixed-patch cell kinds stored per block cell, matching lbm/refinement.py
// ACTIVE/INNER_GHOST/OUTER_GHOST: OUTER is invalid (stores NaN, no pull),
// INNER streams without collision, ACTIVE pulls and collides.
#ifndef CELERIS_CORE_CELL_KIND_CUH
#define CELERIS_CORE_CELL_KIND_CUH
constexpr unsigned char KIND_ACTIVE = 0u, KIND_INNER = 1u, KIND_OUTER = 2u;
// NaN populations mark a cell without valid state (OUTER ghost or solid core).
__device__ __forceinline__ void fill_invalid(float* f)
{
for (int q = 0; q < NQ; ++q) f[q] = NAN;
}
#endif
@@ -53,18 +53,6 @@ __device__ __forceinline__ void index_from_thread(unsigned int& x,
k = (unsigned long)y * NX + x;
}
// Global cell of window cell (x, y) in block blockIdx.z of a row-major,
// full-domain block layout domain_nx cells wide. NX/NY are the local strides.
__device__ __forceinline__ void block_global_xy(unsigned int x, unsigned int y,
unsigned int halo, unsigned int domain_nx,
unsigned int& gx, unsigned int& gy)
{
const unsigned int bx = NX - 2 * halo, by = NY - 2 * halo;
const unsigned int nbx = domain_nx / bx;
gx = (blockIdx.z % nbx) * bx + x - halo;
gy = (blockIdx.z / nbx) * by + y - halo;
}
// ---------------------------------------------------------------------------
// Neighbor list (periodic BCs via modular arithmetic)
// ---------------------------------------------------------------------------
@@ -1,4 +1,4 @@
// CelerisLab – uniform.cu
// CelerisLab – kernel_v2.cu
// ============================================================================
// Compilation entry point (Stage 2 Architecture).
//
@@ -7,7 +7,7 @@
//
// File layout (each <300 lines):
// operators/helpers.cuh — bounce_back_swap, collide_dispatch
// step/init_flow.cu — InitTubeFlow, InitEsoPull
// step/init_flow.cu — InitTubeFlow_v2, InitEsoPull
// step/one_step_double.cu — OneStep (pull double-buffer)
// step/one_step_esopull.cu — EsoPullStep (single-buffer)
// step/aux_kernels.cu — CurvedBoundaryKernel, SensorKernel
@@ -1,31 +0,0 @@
// Collision used by periodic/fine and slot/reservoir BlockStep.
#ifndef CELERIS_OPERATORS_BLOCK_COLLISION_CUH
#define CELERIS_OPERATORS_BLOCK_COLLISION_CUH
#include "../core/params.cuh"
#include "macro.cuh"
#include "collision_srt.cuh"
#if COLLISION_MODEL == 2
#include "collision_mrt.cuh"
#endif
__device__ __forceinline__ void block_collide(float* f) {
#if COLLISION_MODEL == 2
collide_mrt_unforced(f); // SRT path below unchanged.
#else
float rho, ux, uy, feq[NQ];
compute_rho_u(f, rho, ux, uy);
#if USE_DDF_SHIFTING
// Preserve the density perturbation before adding the unit reference.
const float drho = f[0]+f[1]+f[2]+f[3]+f[4]+f[5]+f[6]+f[7]+f[8];
const float jx = f[1]-f[2]+f[5]-f[6]+f[7]-f[8];
const float jy = f[3]-f[4]+f[5]-f[6]-f[7]+f[8];
compute_feq_from_momentum(drho, jx, jy, ux, uy, feq);
#else
compute_feq(rho, ux, uy, feq);
#endif
collide_srt_no_force(f, feq, d_params.omega);
#endif
}
#endif
@@ -1,14 +0,0 @@
// CelerisLab – operators/bounce_back_swap.cuh
// Full-way bounce-back at a wall node: swap every opposite pair (paired
// order q, q+1). Needs only NQ; shared by the uniform and blocked steps.
#ifndef CELERIS_OPERATORS_BOUNCE_BACK_SWAP_CUH
#define CELERIS_OPERATORS_BOUNCE_BACK_SWAP_CUH
__device__ __forceinline__ void bounce_back_swap(float* f) {
#pragma unroll
for (int i = 1; i < NQ; i += 2) {
float t = f[i]; f[i] = f[i+1]; f[i+1] = t;
}
}
#endif
@@ -114,16 +114,6 @@ __device__ __forceinline__ void collide_mrt_no_force(float* __restrict__ g,
collide_mrt(g, rho, ux, uy, Fin, omega);
}
// Unforced MRT with the clamped device omega, as in collide_dispatch with zero
// forcing. Shared by the blocked, channel-root and dense-patch collisions.
__device__ __forceinline__ void collide_mrt_unforced(float* __restrict__ g)
{
float rho, ux, uy;
compute_rho_u(g, rho, ux, uy);
collide_mrt_no_force(g, rho, ux, uy,
fminf(OMEGA_COLLISION_MAX, fmaxf(OMEGA_COLLISION_MIN, d_params.omega)));
}
#elif LATTICE_MODEL == LATTICE_D3Q19
__device__ __forceinline__ void collide_mrt(float* __restrict__ g,
@@ -5,7 +5,12 @@
#ifndef CELERIS_OPERATORS_HELPERS_CUH
#define CELERIS_OPERATORS_HELPERS_CUH
#include "bounce_back_swap.cuh"
__device__ __forceinline__ void bounce_back_swap(float* f) {
#pragma unroll
for (int i = 1; i < NQ; i += 2) {
float t = f[i]; f[i] = f[i+1]; f[i+1] = t;
}
}
__device__ __forceinline__ void collide_dispatch(
float* f, float rho_n,
+93 -3
View File
@@ -9,7 +9,6 @@
#include "core/params.cuh"
#include "core/flags.cuh"
#include "core/obs.cuh"
#include "core/cell_kind.cuh"
#include "operators/macro.cuh"
#include "operators/collision_srt.cuh"
#if COLLISION_MODEL == 2
@@ -36,5 +35,96 @@ __device__ unsigned int incoming_counts[NQ * TOTAL_CELLS];
}
#endif
// Kernels: patch collision helper, PatchExplode, PatchFineStep, PatchCoarseStep.
#include "step/patch_step.cu"
__device__ __forceinline__ void patch_collide(float* f, unsigned long k) {
#if COLLISION_MODEL == 2
float rho, ux, uy;
compute_rho_u(f, rho, ux, uy);
collide_mrt_no_force(f, rho, ux, uy,
fminf(OMEGA_COLLISION_MAX, fmaxf(OMEGA_COLLISION_MIN, d_params.omega)));
#else
float rho, ux, uy, feq[NQ];
compute_rho_u(f, rho, ux, uy);
compute_feq(rho, ux, uy, feq);
collide_srt_no_force(f, feq, d_params.omega);
#endif
#ifdef CELERIS_REFINEMENT_AUDIT
++collision_counts[k];
#endif
}
extern "C" __global__ void PatchExplode(
const float* coarse, float* fine, const uint32_t* targets,
const uint32_t* donors, unsigned int count, unsigned long coarse_cells)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
for (unsigned int q = 0; q < NQ; ++q)
fine[index_f(targets[row], q)] = coarse[q * coarse_cells + donors[row]];
#ifdef CELERIS_REFINEMENT_AUDIT
++explosion_counts[targets[row]];
#endif
}
extern "C" __global__ void PatchFineStep(const float* in, float* out, const uint16_t* flags) {
unsigned int x, y; unsigned long k;
index_from_thread(x, y, k);
if (x >= NX || y >= NY) return;
float f[NQ];
// Outer halo is invalid after EACH hop, including when reusing the buffer
// that held explosion data. Inner halo only streams; it never collides.
if (x < 2 || y < 2 || x >= NX - 2 || y >= NY - 2
|| (flags != nullptr && is_solid(flags[k]))) {
for (int q = 0; q < NQ; ++q) f[q] = NAN;
} else {
unsigned long j[NQ];
compute_neighbors(x, y, j); // These interior targets never wrap.
stream_pull_load(k, f, in, j);
if (x >= 4 && y >= 4 && x < NX - 4 && y < NY - 4)
patch_collide(f, k);
}
stream_pull_store(k, f, out);
}
extern "C" __global__ void PatchCoarseStep(
const float* in, float* out, const float* fine,
const uint64_t* targets, const uint64_t* children, unsigned int count,
unsigned int x0, unsigned int y0, unsigned int x1, unsigned int y1,
unsigned int wall_aware)
{
unsigned int x, y; unsigned long k;
index_from_thread(x, y, k);
if (x >= NX || y >= NY) return;
// Both buffers were poisoned at initialization; covered cells stay invalid.
if (x >= x0 && x < x1 && y >= y0 && y < y1) return;
if (wall_aware && (y == 0 || y == NY - 1)) return;
unsigned long j[NQ];
compute_neighbors(x, y, j);
float f[NQ];
stream_pull_load(k, f, in, j);
if (x >= x0 - 1 && x <= x1 && y >= y0 - 1 && y <= y1) {
for (unsigned int q = 1; q < NQ; ++q) {
uint64_t slot = index_f(k, q);
unsigned int lo = 0, hi = count;
while (lo < hi) {
unsigned int mid = lo + (hi - lo) / 2;
if (targets[mid] < slot) lo = mid + 1;
else hi = mid;
}
if (lo < count && targets[lo] == slot) {
const uint64_t* s = children + 4ul * lo;
f[q] = 0.25f * (fine[s[0]] + fine[s[1]] + fine[s[2]] + fine[s[3]]);
#ifdef CELERIS_REFINEMENT_AUDIT
++incoming_counts[slot];
#endif
}
}
}
// Includes the eight grazing-corner links with UNCOVERED coarse donors.
// All replacement arrivals must be in place before computing rho/u.
if (wall_aware) {
if (y == 1) reconstruct_bottom_velocity(f, 0.0f, bottom_wall_normal_velocity(x));
else if (y == NY - 2) reconstruct_top_reservoir(f, RHO);
}
patch_collide(f, k);
stream_pull_store(k, f, out);
}
@@ -3,7 +3,7 @@
// ApplyEsoPullCurvedKernel, SensorKernel, ForceRegionKernel.
//
// Launched on compact lists (n_curved / n_sensor / n_cells threads).
// Included by uniform.cu. No standalone compilation.
// Included by kernel_v2.cu. No standalone compilation.
//
// Double-buffer mode:
// CurvedBoundaryKernel runs BEFORE OneStep.
@@ -1,42 +0,0 @@
// CelerisLab/lbm/kernels/step/block_boundary.cu
// Receiver-local curved-boundary staging and its raw-exchange accumulation.
// Part of the blocked.cu compilation entry; relies on its includes and guards.
// Static cut links, receiver-local staging: cell is the receiver's local core
// cell, so the existing BFL writes the solid-source window image that this
// block's next pull reads (no halo copy between this kernel and BlockStep).
// surface_velocity (nullable, 2 floats per link): prescribed fluid velocity on
// fixed geometry, same convention as CurvedBoundaryKernel. Optional raw rows
// (jx,jy,torque,dm) are unique physical links, never body-observation slots.
extern "C" __global__ void BlockCurvedBoundary(
fpxx* f, const uint32_t* block, const uint32_t* cell, const unsigned char* dir,
const float* q, const unsigned char* fallback, unsigned int count,
const float* surface_velocity, const float* rx, const float* ry, float* raw)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
float Uw = 0.0f, Vw = 0.0f;
if (surface_velocity != nullptr) {
const float u = surface_velocity[2 * row], v = surface_velocity[2 * row + 1];
if (u != 0.0f || v != 0.0f) { Uw = u; Vw = v; }
}
apply_bouzidi_link(dir[row], q[row], cell[row], f + (unsigned long)block[row] * NQ * TOTAL_CELLS,
Uw, Vw, rx ? rx[row] : 0.0f, ry ? ry[row] : 0.0f,
fallback[row], nullptr, -1, raw ? raw + 4ul * row : nullptr,
raw ? raw + 4ul * row + 3 : nullptr);
}
// Same-stream BFL -> this row-owned accumulation -> pull step. No atomics,
// no cross-row reduction and no history allocation proportional to substeps.
extern "C" __global__ void BlockAccumulateExchange(
const float* raw, double* integral, unsigned int count, double h, double dt)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
const unsigned long k = 4ul * row;
const double impulse = h * dt;
integral[k] += impulse * (double)raw[k];
integral[k + 1] += impulse * (double)raw[k + 1];
integral[k + 2] += h * impulse * (double)raw[k + 2];
integral[k + 3] += h * h * (double)raw[k + 3];
}
@@ -1,12 +1,5 @@
#if BLOCK_ROOT_BC != 2
#error "BlockChannelStep requires BLOCK_ROOT_BC == 2"
#endif
// Root-only blocked counterpart of OneStep's D2Q9/SRT channel closure.
// NX/NY are LOCAL strides; all physical boundary decisions use global coordinates.
#include "../core/cell_kind.cuh"
#include "../operators/bounce_back_swap.cuh"
#include "../boundary/bounce_back.cuh"
#include "../boundary/inlet/common.cuh"
#include "../boundary/inlet/zou_he_local.cuh"
#include "../boundary/outlet/pressure_neq.cuh"
@@ -22,13 +15,15 @@ extern "C" __global__ void BlockChannelStep(
unsigned int x, y; unsigned long k;
index_from_thread(x, y, k);
if (x < halo || y < halo || x >= NX - halo || y >= NY - halo) return;
unsigned int gx, gy;
block_global_xy(x, y, halo, d_block_channel.nx, gx, gy);
const unsigned int bx = NX - 2 * halo, by = NY - 2 * halo;
const unsigned int nbx = d_block_channel.nx / bx;
const unsigned int gx = (blockIdx.z % nbx) * bx + x - halo;
const unsigned int gy = (blockIdx.z / nbx) * by + y - halo;
const unsigned long base = (unsigned long)blockIdx.z * NQ * TOTAL_CELLS;
const unsigned long cell = (unsigned long)blockIdx.z * TOTAL_CELLS + k;
float f[NQ];
if (kind != nullptr && kind[cell] == KIND_OUTER) {
fill_invalid(f);
for (int q = 0; q < NQ; ++q) f[q] = NAN;
} else {
unsigned long j[NQ];
compute_neighbors(x, y, j);
@@ -36,21 +31,35 @@ extern "C" __global__ void BlockChannelStep(
const bool wall = gy == 0 || gy == d_block_channel.ny - 1;
const bool outlet = gx == d_block_channel.nx - 1;
if (wall) {
bounce_back_swap(f); // Wall owns all four corners; ghosts never collide.
// Wall owns all four corners. Ghosts pull and swap, never collide.
for (int q = 1; q < NQ; q += 2) {
const float t = f[q]; f[q] = f[q + 1]; f[q + 1] = t;
}
} else if (gx == 0) {
apply_zou_he_left_velocity_inlet_d2q9(
f, inlet_target_u((float)gy, d_block_channel.ny, d_block_channel.velocity), 0.0f);
} else if (outlet) {
// Immutable input donor, receiver-local (also valid across a block seam).
float donor[NQ];
load_node(in + base, k - 1, donor);
for (int q = 0; q < NQ; ++q)
donor[q] = load_ddf(in + base, index_f(k - 1, q));
apply_pressure_outlet_d2q9(f, donor);
} else {
apply_wall_bb_d2q9_rows(gy, d_block_channel.ny - 2, f, in + base, k);
} else if (gy == 1) {
f[3] = load_ddf(in + base, index_f(k, 4));
f[5] = load_ddf(in + base, index_f(k, 6));
f[8] = load_ddf(in + base, index_f(k, 7));
} else if (gy == d_block_channel.ny - 2) {
f[4] = load_ddf(in + base, index_f(k, 3));
f[6] = load_ddf(in + base, index_f(k, 5));
f[7] = load_ddf(in + base, index_f(k, 8));
}
if (!wall && !outlet) {
#if COLLISION_MODEL == 2
collide_mrt_unforced(f);
// Match uniform MRT arithmetic (collide_dispatch, zero forcing).
float rho, ux, uy;
compute_rho_u(f, rho, ux, uy);
collide_mrt_no_force(f, rho, ux, uy,
fminf(OMEGA_COLLISION_MAX, fmaxf(OMEGA_COLLISION_MIN, d_params.omega)));
#else
// Match uniform SRT arithmetic, including its shifted equilibrium path.
float rho, ux, uy, feq[NQ], forcing[NQ] = {};
@@ -1,35 +0,0 @@
// CelerisLab/lbm/kernels/step/block_step.cu
// Generic blocked pull/collide/store for periodic/fine and slot/reservoir levels.
// Part of the blocked.cu compilation entry; relies on its includes and guards.
#if BLOCK_ROOT_BC == 2
#error "BlockStep is not built for the channel root (BLOCK_ROOT_BC == 2)"
#endif
// Pull/collide/store core cells only; halo cells of out are left untouched.
// flags (block cell ids, nullable): solid cores store NaN and never collide.
// kind (block cell ids, nullable = all ACTIVE): OUTER skips the pull and
// stores NaN, INNER pulls without collision, ACTIVE pulls and collides.
extern "C" __global__ void BlockStep(const fpxx* in, fpxx* out, unsigned int halo,
const uint16_t* flags, const unsigned char* kind) {
unsigned int x, y; unsigned long k;
index_from_thread(x, y, k);
if (x < halo || y < halo || x >= NX - halo || y >= NY - halo) return;
const unsigned long base = (unsigned long)blockIdx.z * NQ * TOTAL_CELLS;
const unsigned long cell = (unsigned long)blockIdx.z * TOTAL_CELLS + k;
const unsigned char cell_kind = kind != nullptr ? kind[cell] : KIND_ACTIVE;
float f[NQ];
if (cell_kind == KIND_OUTER || (flags != nullptr && is_solid(flags[cell]))) {
fill_invalid(f);
} else {
unsigned long j[NQ];
compute_neighbors(x, y, j); // Core neighbors stay inside the window: no wrap.
stream_pull_load(k, f, in + base, j);
if (cell_kind == KIND_ACTIVE) {
#if BLOCK_ROOT_BC == 1
block_wall(f, x, y, halo);
#endif
block_collide(f);
}
}
stream_pull_store(k, f, out + base);
}
@@ -1,78 +0,0 @@
// CelerisLab/lbm/kernels/step/block_transfer.cu
// Same-level halo refresh and 2:1 explosion/coalescence between blocked levels.
// Part of the blocked.cu compilation entry; relies on its includes and guards.
// Halo refresh: block cell ids b*TOTAL_CELLS+c, sources are always core cells.
extern "C" __global__ void BlockHaloCopy(
fpxx* f, const uint64_t* dst, const uint64_t* src, unsigned int count)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
const uint64_t d = dst[row], s = src[row];
fpxx* to = f + (d / TOTAL_CELLS) * NQ * TOTAL_CELLS;
const fpxx* from = f + (s / TOTAL_CELLS) * NQ * TOTAL_CELLS;
for (unsigned int q = 0; q < NQ; ++q)
to[index_f(d % TOTAL_CELLS, q)] = from[index_f(s % TOTAL_CELLS, q)];
}
// Fixed-patch explosion into blocked fine storage: target = owner block cell
// id of a patch-ghost cell; donors are parent block cell ids. Dense parent
// storage is the one-window case with coarse_cells = full domain size.
extern "C" __global__ void BlockExplode(
const fpxx* coarse, fpxx* fine, const uint64_t* target, const uint64_t* donor,
unsigned int count, unsigned long coarse_cells)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
const uint64_t t = target[row];
fpxx* to = fine + (t / TOTAL_CELLS) * NQ * TOTAL_CELLS;
const uint64_t d = donor[row];
const fpxx* from = coarse + (d / coarse_cells) * NQ * coarse_cells;
for (unsigned int q = 0; q < NQ; ++q)
to[index_f(t % TOTAL_CELLS, q)] = from[q * coarse_cells + d % coarse_cells];
}
// Experimental Schornbaum--Ruede (arXiv:1508.07982, Algorithm 2)
// and Chen et al. (doi:10.1016/j.physa.2005.09.036) population interpolation.
// Independent implementation of the mathematical stencil; no upstream source copied.
// Stencil cells are owner cores; a disabled axis repeats its center twice.
extern "C" __global__ void BlockExplodeProjected(
const fpxx* coarse, fpxx* fine, const uint64_t* target, const uint64_t* donor,
unsigned int count, unsigned long coarse_cells,
const uint64_t* neighbors, const float* offsets)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
const uint64_t t = target[row], d = donor[row];
fpxx* to = fine + (t / TOTAL_CELLS) * NQ * TOTAL_CELLS;
for (unsigned int q = 0; q < NQ; ++q) {
float v[4];
for (unsigned int a = 0; a < 4; ++a) {
const uint64_t n = neighbors[4ul * row + a];
v[a] = coarse[(n / coarse_cells) * NQ * coarse_cells
+ q * coarse_cells + n % coarse_cells];
}
float gx = .5f * (v[1] - v[0]), gy = .5f * (v[3] - v[2]);
const float ex = d_cx[q], ey = d_cy[q];
if (q != 0) {
const float along = (ex * gx + ey * gy) / (ex * ex + ey * ey);
gx -= ex * along;
gy -= ey * along;
}
to[index_f(t % TOTAL_CELLS, q)] =
coarse[(d / coarse_cells) * NQ * coarse_cells + q * coarse_cells + d % coarse_cells]
+ offsets[2ul * row] * gx + offsets[2ul * row + 1] * gy;
}
}
// Targets are receiver-local SOURCE slots for the immediately following pull.
// Keep child summation order identical to PatchCoarseStep; no collision here.
extern "C" __global__ void BlockCoalesce(
const fpxx* fine, fpxx* coarse, const uint64_t* target, const uint64_t* children,
unsigned int count)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
const uint64_t* s = children + 4ul * row;
coarse[target[row]] = 0.25f * (fine[s[0]] + fine[s[1]] + fine[s[2]] + fine[s[3]]);
}
@@ -3,7 +3,7 @@
//
// Decodes the EsoPull backing layout into physical distributions, then
// computes rho/ux/uy. Output is SoA: rho_out[N], ux_out[N], uy_out[N].
// Included by uniform.cu. No standalone compilation.
// Included by kernel_v2.cu. No standalone compilation.
//
// This kernel is the sole path for macroscopic diagnostics in EsoPull mode.
// It uses the shared semantic helper layer (esopull_semantic_helpers.cuh).
@@ -5,7 +5,7 @@
// or encodes physical DDF back to EsoPull backing layout.
// Each thread handles one cell from a compact index list.
//
// Included by uniform.cu. No standalone compilation.
// Included by kernel_v2.cu. No standalone compilation.
// ============================================================================
#ifndef CELERIS_STEP_ESOPULL_SYNC_CU
+3 -3
View File
@@ -1,6 +1,6 @@
// CelerisLab – step/init_flow.cu
// Channel-flow initialization kernels (double-buffer and EsoPull).
// Included by uniform.cu after all headers. No standalone compilation.
// Included by kernel_v2.cu after all headers. No standalone compilation.
// ============================================================================
#ifndef CELERIS_STEP_INIT_FLOW_CU
@@ -73,9 +73,9 @@ __device__ __forceinline__ uint16_t finalize_domain_flag(
}
// ============================================================================
// InitTubeFlow — double-buffer channel initialization
// InitTubeFlow_v2 — double-buffer channel initialization
// ============================================================================
__global__ void InitTubeFlow(uint16_t* flag, fpxx* fi)
__global__ void InitTubeFlow_v2(uint16_t* flag, fpxx* fi)
{
#if DIM == 2
unsigned int x, y; unsigned long k;
@@ -1,6 +1,6 @@
// CelerisLab – step/one_step_double.cu
// Double-buffer PULL streaming step kernel.
// Included by uniform.cu. No standalone compilation.
// Included by kernel_v2.cu. No standalone compilation.
// ============================================================================
#ifndef CELERIS_STEP_ONE_STEP_DOUBLE_CU
@@ -1,6 +1,6 @@
// CelerisLab – step/one_step_esopull.cu
// Esoteric-Pull single-buffer step kernel.
// Included by uniform.cu. No standalone compilation.
// Included by kernel_v2.cu. No standalone compilation.
//
// CURVED BC: supported via PrepareEsoPullCurvedKernel + ApplyEsoPullCurvedKernel
// in aux_kernels.cu, launched by stepper.py before EsoPullStep.
@@ -1,95 +0,0 @@
// CelerisLab/lbm/kernels/step/patch_step.cu
// Dense fixed-patch collision, explosion and the fine/coarse steps.
// Part of the refinement.cu compilation entry; relies on its includes, guards
// and the optional CELERIS_REFINEMENT_AUDIT counters declared there.
__device__ __forceinline__ void patch_collide(float* f, unsigned long k) {
#if COLLISION_MODEL == 2
collide_mrt_unforced(f);
#else
float rho, ux, uy, feq[NQ];
compute_rho_u(f, rho, ux, uy);
compute_feq(rho, ux, uy, feq);
collide_srt_no_force(f, feq, d_params.omega);
#endif
#ifdef CELERIS_REFINEMENT_AUDIT
++collision_counts[k];
#endif
}
extern "C" __global__ void PatchExplode(
const float* coarse, float* fine, const uint32_t* targets,
const uint32_t* donors, unsigned int count, unsigned long coarse_cells)
{
unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
if (row >= count) return;
for (unsigned int q = 0; q < NQ; ++q)
fine[index_f(targets[row], q)] = coarse[q * coarse_cells + donors[row]];
#ifdef CELERIS_REFINEMENT_AUDIT
++explosion_counts[targets[row]];
#endif
}
extern "C" __global__ void PatchFineStep(const float* in, float* out, const uint16_t* flags) {
unsigned int x, y; unsigned long k;
index_from_thread(x, y, k);
if (x >= NX || y >= NY) return;
float f[NQ];
// Outer halo is invalid after EACH hop, including when reusing the buffer
// that held explosion data. Inner halo only streams; it never collides.
if (x < 2 || y < 2 || x >= NX - 2 || y >= NY - 2
|| (flags != nullptr && is_solid(flags[k]))) {
fill_invalid(f);
} else {
unsigned long j[NQ];
compute_neighbors(x, y, j); // These interior targets never wrap.
stream_pull_load(k, f, in, j);
if (x >= 4 && y >= 4 && x < NX - 4 && y < NY - 4)
patch_collide(f, k);
}
stream_pull_store(k, f, out);
}
extern "C" __global__ void PatchCoarseStep(
const float* in, float* out, const float* fine,
const uint64_t* targets, const uint64_t* children, unsigned int count,
unsigned int x0, unsigned int y0, unsigned int x1, unsigned int y1,
unsigned int wall_aware)
{
unsigned int x, y; unsigned long k;
index_from_thread(x, y, k);
if (x >= NX || y >= NY) return;
// Both buffers were poisoned at initialization; covered cells stay invalid.
if (x >= x0 && x < x1 && y >= y0 && y < y1) return;
if (wall_aware && (y == 0 || y == NY - 1)) return;
unsigned long j[NQ];
compute_neighbors(x, y, j);
float f[NQ];
stream_pull_load(k, f, in, j);
if (x >= x0 - 1 && x <= x1 && y >= y0 - 1 && y <= y1) {
for (unsigned int q = 1; q < NQ; ++q) {
uint64_t slot = index_f(k, q);
unsigned int lo = 0, hi = count;
while (lo < hi) {
unsigned int mid = lo + (hi - lo) / 2;
if (targets[mid] < slot) lo = mid + 1;
else hi = mid;
}
if (lo < count && targets[lo] == slot) {
const uint64_t* s = children + 4ul * lo;
f[q] = 0.25f * (fine[s[0]] + fine[s[1]] + fine[s[2]] + fine[s[3]]);
#ifdef CELERIS_REFINEMENT_AUDIT
++incoming_counts[slot];
#endif
}
}
}
// Includes the eight grazing-corner links with UNCOVERED coarse donors.
// All replacement arrivals must be in place before computing rho/u.
if (wall_aware) {
if (y == 1) reconstruct_bottom_velocity(f, 0.0f, bottom_wall_normal_velocity(x));
else if (y == NY - 2) reconstruct_top_reservoir(f, RHO);
}
patch_collide(f, k);
stream_pull_store(k, f, out);
}
@@ -21,14 +21,6 @@
// i.e. the population traveling in direction i at node n
// arrived from the node at n - c_i = neighbor in direction opp(i)
// ---------------------------------------------------------------------------
// load_node: all NQ populations of node n as stored (no streaming).
__device__ __forceinline__ void load_node(const fpxx* __restrict__ fi, unsigned long n,
float* __restrict__ f)
{
for (int q = 0; q < NQ; ++q)
f[q] = load_ddf(fi, index_f(n, q));
}
__device__ __forceinline__ void stream_pull_load(unsigned long n,
float* __restrict__ f,
const fpxx* __restrict__ fi,
+157 -94
View File
@@ -65,8 +65,52 @@ def _level_name(level):
return ("base", "fine", "child")[level] if level < 3 else f"level {level}"
def _legacy_levels(bounds, *, fine_block, base_block, child, child_block, child_rectangles_in_parent,
fine_objects, jets, child_objects, child_jets):
"""Normalise the original two/three-level keywords to per-level lists (original errors)."""
if child is not None and child_rectangles_in_parent is not None:
raise ValueError("child and child_rectangles_in_parent are mutually exclusive")
nested = child is not None or child_rectangles_in_parent is not None
bounds = tuple(bounds)
if not is_rectangle(bounds) and (fine_block is None or base_block is None):
raise ValueError("several patches require fine_block and base_block")
fine_objects, jets = tuple(fine_objects), tuple(jets)
child_objects, child_jets = tuple(child_objects), tuple(child_jets)
if not nested and (child_objects or child_jets):
raise ValueError("child_objects/child_jets require a nested child")
if base_block is not None and fine_block is None:
raise ValueError("base_block requires fine_block")
refinements, blocks = [bounds], [base_block, fine_block]
objects, level_jets = [(), fine_objects], [(), jets]
if nested:
if child is not None and not is_rectangle(bounds):
raise ValueError("scalar child requires one parent patch; use child_rectangles_in_parent")
if fine_block is None or base_block is None or child_block is None:
raise ValueError("a nested child needs fine_block, base_block and child_block")
if fine_objects or jets:
raise ValueError("a nested child supports bodies/Jets only on L2; use child_objects/child_jets")
refinements.append(tuple(child) if child is not None else tuple(child_rectangles_in_parent))
blocks.append(child_block)
objects.append(child_objects)
level_jets.append(child_jets)
return refinements, blocks, objects, level_jets
def _initial_levels(level_g, coarse_g, fine_g, child_g):
"""One tuple of per-level arrays from initialize()'s positional or legacy named form."""
if coarse_g is None and fine_g is None:
if child_g is not None and len(level_g) != 2:
raise TypeError("child_g needs exactly the coarse and fine arrays before it")
return tuple(level_g) + (() if child_g is None else (child_g,))
if level_g:
raise TypeError("pass level arrays positionally or as coarse_g/fine_g/child_g, not both")
if coarse_g is None or fine_g is None:
raise TypeError("coarse_g and fine_g are both required in the named form")
return (coarse_g, fine_g) + (() if child_g is None else (child_g,))
def _check_levels(refinements, blocks, objects, jets):
"""Candidate limits of the level lists, checked before any device work."""
"""Candidate limits shared by the list and the legacy entry points."""
depth = len(refinements) + 1
if depth < 2:
raise ValueError("at least one refinement level is required")
@@ -75,13 +119,13 @@ def _check_levels(refinements, blocks, objects, jets):
raise ValueError(f"{name} needs one entry per level ({depth})")
for level, block in enumerate(blocks):
if block is not None and len(block) != 2:
raise ValueError(f"level_blocks[{level}] must be (by, bx)")
raise ValueError(f"{_level_name(level)}_block must be (by, bx)")
if objects[0] or jets[0]:
raise ValueError("base-level bodies/Jets are not supported")
if any(blocks[level - 1] is not None and blocks[level] is None for level in range(1, depth)):
raise ValueError("a blocked level requires blocked refined levels below it")
if not is_rectangle(refinements[0]) and (blocks[0] is None or blocks[1] is None):
raise ValueError("several L1 patches require level_blocks[0] and level_blocks[1]")
raise ValueError("several patches require fine_block and base_block")
if depth > 2:
if any(block is None for block in blocks):
raise ValueError("three or more levels must all be blocked")
@@ -90,14 +134,7 @@ def _check_levels(refinements, blocks, objects, jets):
class FixedPatchStepper:
"""D2Q9 SRT/MRT FP32 fixed 2:1 refinement hierarchy, built from level lists.
``refinements[l]`` gives level l+1 in level-l integer cells: one rectangle
(x0, y0, x1, y1) (FixedPatch2D, a fine window with its own origin) or a
sequence of rectangles (FixedPatchSet2D, a dependency-validated union on one
level-wide grid, public fine arrays (2*ny, 2*nx), NaN outside ACTIVE cells);
see lbm.hierarchy. ``level_blocks``, ``level_objects`` and ``level_jets``
hold one entry per level, L0 included (L0 bodies/Jets are not supported).
"""D2Q9/SRT/FP32, one unforced internal 2:1 patch in an x-periodic box.
``coarse_boundary`` is ``periodic`` (default) or ``slot_reservoir``:
a bottom on-site slot and top fixed-density reservoir from ``cfg``.
@@ -108,55 +145,68 @@ class FixedPatchStepper:
actual channel closure footprint. Channel remapping is not supported.
Periodic mode does not apply the wall/slot boundary fields in ``cfg``.
Outer walls remain coarse; fine halo donors must be ordinary fluid.
``fine_objects`` accepts fixed circles in coarse physical coordinates;
velocities are in coarse lattice units (dx=dt=1). Independent local copies
are projected at fine cell centers. Their complete stencil must be active
and disjoint from the actual two-hop transfer footprint.
These use the edge/cell-center frame (coarse centers I+.5), whereas ordinary Simulation objects use the integer-node frame.
Bodies are fixed circles in root (L0) physical coordinates; velocities are
in root lattice units (dx=dt=1). Independent local copies are projected at
fine cell centers; their complete stencil must be active and disjoint from
the actual two-hop transfer footprint. These use the edge/cell-center frame
(coarse centers I+.5), whereas ordinary Simulation objects use the
integer-node frame. Jets (body.jets.Jet) use the same frame and drive cut
links selected at their true hits; ``set_jet_amplitude(index, amplitude,
level=l)`` re-uploads the per-link velocity column only.
``initialize(*level_g)`` accepts one physical Q-major (9, ny, nx) array per
level, already in postcollision phase. It does not collide or build channel
flags. Every ``step()`` publishes only after all levels complete on one
stream. On a device/launch failure the instance becomes unusable: close and
recreate it, rather than pretending a partially advanced buffer rolled back.
A ``level_blocks`` entry (by, bx) stores that level in blocked.cu storage:
the ENTIRE level shape, including the four-cell patch ghost band, is
partitioned by a non-periodic BlockLayout2D with one-cell same-level halos.
Patch kinds stay per cell (OUTER invalid, INNER stream only, ACTIVE
collide); halos are gathered before each hop. Public arrays keep the dense
shapes; only the allocation differs. A blocked level requires blocked
refined levels below it; several L1 rectangles and depth >= 3 require all
levels blocked. Blocked bodies are stationary circles, optionally
surface-actuated: prepare_fine_boundary decides legality on the dense grid,
then cut links are staged receiver-local per hop: halo -> BFL -> step, same
buffer. A blocked parent gathers halos before receiver-local coalescence
staging and pull/collision; covered cells are poisoned on every step.
``initialize(coarse_g, fine_g)`` accepts physical Q-major (9,ny,nx) arrays
already in postcollision phase. It does not collide or build channel flags.
Every ``step()`` publishes only after both levels complete on one stream.
On a device/launch failure the instance becomes unusable: close and recreate
it, rather than pretending the partially advanced fine buffer rolled back.
``fine_block=(by, bx)`` (opt-in) stores the fine level in
blocks.cu storage: the ENTIRE fine_shape, including the four-cell patch
ghost band, is partitioned by a non-periodic BlockLayout2D with one-cell
same-level halos. Patch kinds stay per cell (OUTER invalid, INNER stream
only, ACTIVE collide); halos are gathered before each fine hop. Public
arrays keep the dense (9, ny, nx) fine shape; only the allocation differs.
Blocked fine_objects are stationary circles, optionally surface-actuated:
prepare_fine_boundary decides legality on the dense fine grid, then cut
links are staged receiver-local per hop: halo -> BFL -> step, same buffer.
``base_block=(by, bx)`` also blocks the parent; it requires ``fine_block``.
Parent halos precede receiver-local coalescence staging and pull/collision;
covered cells are explicitly poisoned on every step. Public shapes stay dense.
``observe_raw_exchange=True`` records blocked physical cut-link exchange
without changing populations. read_raw_exchange reports the last complete
base interval or last substep in base-lattice units per unit depth. This
is boundary momentum reaction, not a validated nozzle/stress load. Dense
body levels are not supported by this diagnostic.
body layouts are not supported by this new diagnostic in this candidate.
``observe_window_exchange=True`` (requires observe_raw_exchange) adds a second
per-link FP64 ledger accumulated by the same kernel between
start_exchange_window() and read_exchange_window(); disabled by default.
``jets`` (body.jets.Jet) use the same edge frame as ``fine_objects`` and
drive fine cut links selected at their true hits; ``set_jet_amplitude``
re-uploads the per-link velocity column only.
Nested levels: a child set's coordinates index the allocated parent array,
including ghost bands and holes: root edge = parent fine_origin + index / 2
(zero origin for a parent set; a scalar parent keeps its shifted window
origin). A scalar child requires a scalar parent. Rectangle unions impose no
fixed gap rule: adjacent, overlapping and concave unions are accepted when
their actual transfer dependencies close (FixedPatchSet2D /
nest_patch_set). All regions share one buffer pair per level and the fixed
schedule of 2**l hops per base step at level l. Bodies/Jets are supported only on the
finest level of a nested hierarchy (L2 dx=dt=.25 in root units, unchanged
lattice velocity); every whole circle and its BFL stencil must fit strictly
away from that level's transfer footprint.
Several patches: pass ``bounds`` as a sequence of (x0, y0, x1, y1)
rectangles (FixedPatchSet2D, dependency-validated union). This requires
fine_block and base_block; fine_objects/jets are projected once onto the
level-wide fine grid (each circle inside the union, body ids = object
positions, jet and writer checks level-wide), and
uses one level-wide fine grid (2*ny, 2*nx): public fine arrays have that
shape, NaN outside the patches' ACTIVE cells. The step sequence is the
blocked one above, with unique union transfers in one launch each.
Three-level separated unions: ``child_rectangles_in_parent=[...]`` is
mutually exclusive with scalar ``child`` and accepts either parent form.
Coordinates index the allocated L1 array, including ghost bands and holes:
root edge = patch.fine_origin + L1 index / 2. A parent set has origin zero;
a scalar parent retains its shifted window origin. The child set's public
extent is twice the allocated L1 shape, even though storage is sparse.
Each pair requires gap >= 4 in its own parent-cell units. All regions share
one buffer pair per level and the fixed 1:2:4 schedule; L2-only bodies/Jets
below apply unchanged, with object IDs assigned over the whole level.
Three-level single chain: ``child`` bounds use L1 window cells; all three
levels must be blocked. ``child_objects`` and ``child_jets`` use the L0
edge frame, with L2 dx=dt=.25 and unchanged lattice velocity. L1 bodies
and Jets remain unsupported in a chain. Every whole circle and its BFL
stencil must fit strictly away from the L2 transfer footprint. L2 runs
halo -> BFL -> step four times per base step. Runtime child Jet changes
require ``set_jet_amplitude(index, amplitude, level=2)``.
``explosion="projected_linear"`` selects experimental transverse linear
reconstruction on each adjacent pair. Default "constant" is unchanged.
@@ -164,21 +214,43 @@ class FixedPatchStepper:
bodies/Jets or LES; this backend supplies no forcing. Geometry is generic,
but union/multilevel GPU and matched-physics qualification remain pending.
One recursive hop advances every level: a child explodes from its parent's
current hop source, takes two hops, then the parent gathers halos, stages
restriction, applies BFL and steps.
Level lists (any depth): ``refinements[l]`` gives level l+1 in level-l
integer cells (scalar window or rectangle list, see lbm.hierarchy);
``level_blocks``/``level_objects``/``level_jets`` hold one entry per level,
L0 included. They are mutually exclusive with the legacy keywords above,
which are normalised to the same lists. One recursive hop advances every
level: a child explodes from its parent's current hop source, takes two
hops, then the parent gathers halos, stages restriction, applies BFL and
steps. Depth >= 3 must be fully blocked with bodies/Jets on the finest level.
"""
def __init__(self, cfg, *, context, refinements, coarse_boundary="periodic",
level_blocks=None, level_objects=None, level_jets=None,
def __init__(self, cfg, bounds=None, *, context, coarse_boundary="periodic", fine_objects=(),
fine_block=None, base_block=None, jets=(), child=None, child_block=None,
child_objects=(), child_jets=(), child_rectangles_in_parent=None,
refinements=None, level_blocks=None, level_objects=None, level_jets=None,
observe_raw_exchange=False, observe_window_exchange=False, explosion="constant"):
if HALO != 4:
raise RuntimeError("refinement.cu requires a four-cell fine halo")
if coarse_boundary not in ("periodic", "slot_reservoir", "channel"):
raise ValueError("coarse_boundary must be periodic, slot_reservoir or channel")
depth = len(refinements) + 1
level_blocks = [None] * depth if level_blocks is None else list(level_blocks)
level_objects = [()] * depth if level_objects is None else list(level_objects)
level_jets = [()] * depth if level_jets is None else list(level_jets)
if refinements is None:
if bounds is None:
raise ValueError("bounds or refinements is required")
if level_blocks is not None or level_objects is not None or level_jets is not None:
raise ValueError("level_blocks/level_objects/level_jets require refinements")
refinements, level_blocks, level_objects, level_jets = _legacy_levels(
bounds, fine_block=fine_block, base_block=base_block, child=child,
child_block=child_block, child_rectangles_in_parent=child_rectangles_in_parent,
fine_objects=fine_objects, jets=jets, child_objects=child_objects,
child_jets=child_jets)
else:
if (bounds is not None or child is not None or child_rectangles_in_parent is not None
or fine_block is not None or base_block is not None or child_block is not None
or tuple(fine_objects) or tuple(jets) or tuple(child_objects) or tuple(child_jets)):
raise ValueError("refinements and the legacy patch keywords are mutually exclusive")
depth = len(refinements) + 1
level_blocks = [None] * depth if level_blocks is None else list(level_blocks)
level_objects = [()] * depth if level_objects is None else list(level_objects)
level_jets = [()] * depth if level_jets is None else list(level_jets)
level_objects = [tuple(o) for o in level_objects]
level_jets = [tuple(j) for j in level_jets]
level_blocks = [None if b is None else tuple(b) for b in level_blocks]
@@ -356,18 +428,22 @@ class FixedPatchStepper:
config = replace(config, nx=layout.local_shape[1], ny=layout.local_shape[0],
y_wall_bc="bounce_back", top_wall_bc="velocity",
wall_slot_width=0, wall_normal_velocity=0.0, velocity=0.0)
name, source = ("BlockChannelStep" if index == 0 and self._channel else "BlockStep"), "blocked.cu"
name, source = ("BlockChannelStep" if index == 0 and self._channel else "BlockStep"), "blocks.cu"
config.validate()
if not np.isclose(config.omega, 1 / tau, rtol=1e-14, atol=0):
raise RuntimeError("level omega/tau mismatch")
host = self._boundary_hosts[index]
n_objects = len(host.objects) if name == "PatchFineStep" and host is not None else 0
block_root_bc = 0
if index == 0 and layout is not None:
block_root_bc = 2 if self._channel else 1 if self._wall_aware else 0
module = compiler.build_module(config, source, arch=self.ctx.sm_arch, n_objects=n_objects,
block_root_bc=block_root_bc)
compiler.set_params(module, config.omega, n_objects=n_objects)
build = compiler.generate_config(config, n_objects=n_objects)
try:
ptx = compiler.compile_kernel(self.ctx.sm_arch, source=source, build_dir=build)
module = compiler.load_module(ptx)
finally:
compiler.cleanup_build_dir(build)
ptr, size = module.get_global("d_params")
if size != struct.calcsize("=ffffI"):
raise RuntimeError("LBMParams host/device layout mismatch")
cuda.memcpy_htod(ptr, struct.pack("=ffffI", config.omega, 0, 0, 0, n_objects))
shape = (9, *self.hierarchy.kinds[index].shape)
size = int(np.prod(shape if layout is None else layout.blocked_shape)) * 4
grid = ((config.nx + self._block[0] - 1) // self._block[0], config.ny,
@@ -464,13 +540,13 @@ class FixedPatchStepper:
if self._ddf_shifting and any(layout is None for layout in self._layouts):
raise ValueError("shifted populations require all-blocked levels")
def initialize(self, *level_g):
def initialize(self, *level_g, coarse_g=None, fine_g=None, child_g=None):
"""Upload physical postcollision G, encoding before any FP32 rounding.
Shifted input should be physical FP64 to retain small perturbations.
Public initialization resets the step count; non-leaves are discarded.
"""
given = tuple(level_g)
given = _initial_levels(level_g, coarse_g, fine_g, child_g)
with self._lock, self.ctx.activate():
self._require("new", "ready")
self._check_storage()
@@ -594,9 +670,10 @@ class FixedPatchStepper:
old, new, source, base_count=count, level_steps=(count, 2*count, 4*count),
phase="postcollision_g", **options)
candidate = type(self)(
cfg, context=self.ctx, refinements=[pairs[0].bounds, new.child.bounds],
level_blocks=[base_block, fine_block, child_block],
level_objects=[(), (), child_objects], level_jets=[(), (), jets],
cfg, pairs[0].bounds, context=self.ctx, base_block=base_block,
fine_block=fine_block, child_block=child_block,
child_rectangles_in_parent=new.child.bounds,
child_objects=child_objects, child_jets=jets,
observe_raw_exchange=self._observe_raw_exchange,
observe_window_exchange=self._observe_window, explosion=self._explosion)
try:
@@ -745,41 +822,27 @@ class FixedPatchStepper:
grid=((pairs + self._block[0] - 1) // self._block[0], 1), **kw)
def step(self, n=1):
"""Advance G→G by n base intervals: level l takes 2**l hops per interval.
All n intervals are enqueued in order on the one stream, and the host waits
once, before returning; step(0) launches and waits for nothing. On return
the device work is complete, step_count and an open window cover all n
intervals, and the raw-exchange ledger holds the final interval only.
Asynchronous device errors surface at that single wait, so they are not
attributed to the interval that caused them; call step(1) repeatedly to
localize one (same launches, same bits). On any failure the instance is
failed, the exchange ledger and window are invalid, and step_count keeps
its value from entry to the failing call.
"""
"""Advance G→G by n base intervals: level l takes 2**l hops per interval."""
if isinstance(n, bool) or not isinstance(n, Integral) or n < 0:
raise ValueError("n must be a nonnegative integer")
with self._lock, self.ctx.activate():
self._require("ready")
if n == 0:
return
root = self._levels[0]
kw = dict(block=self._block, stream=self._stream)
try:
self._status = "advancing"
self._exchange_valid = False
for _ in range(n):
if self._observe_raw_exchange: # stream-ordered: holds the last interval only
if self._observe_raw_exchange:
self._exchange_valid = False
for b in self._level_boundaries:
if b is not None:
cuda.memset_d8_async(b.interval_integral, 0,
len(b.tables["cell"]) * 32, self._stream)
self._hop(0, root.current, root.spare, **kw)
root.current, root.spare = root.spare, root.current # host handles only
self._stream.synchronize()
self._step_count += n
self._exchange_valid = self._observe_raw_exchange
self._stream.synchronize()
root.current, root.spare = root.spare, root.current
self._step_count += 1
self._exchange_valid = self._observe_raw_exchange
self._status = "ready"
except BaseException:
self._window_valid = False
@@ -942,8 +1005,8 @@ class FixedPatchStepper:
if exc[0] is None:
raise
# Read-only compatibility views over the level lists, kept on purpose for the existing
# tests and docs. Internal code must not use them; it reads hierarchy/_layouts/_level_*.
# Read-only compatibility views over the level lists. Internal code must not use them;
# REMOVE AFTER the existing tests/docs migrate to hierarchy/_layouts/_level_* lists.
patch = property(lambda self: self.hierarchy.pairs[0])
child_patch = property(lambda self: self.hierarchy.pairs[1] if self.hierarchy.depth > 2 else None)
base_layout = property(lambda self: self._layouts[0])
+4 -6
View File
@@ -8,7 +8,7 @@ from dataclasses import dataclass, replace
import numpy as np
from .blocks import blocked_link_tables
from ..body.jets import _surface_links
from ..body.jets import jet_link_shapes, surface_link_velocity
from .descriptors import D2Q9_EX, D2Q9_EY
from .refinement import ACTIVE, OUTER_GHOST
@@ -142,13 +142,11 @@ def _prepare_blocked_boundary(boundary, layout, cfg, jets, *, _shifted_blocked=F
tables.update(body_id=np.asarray(body_id, np.int32), rx=np.asarray(rx, np.float32),
ry=np.asarray(ry, np.float32), aperture=np.zeros(len(dirs), bool))
actuated = bool(jets) or any(o.surface_actuation is not None for o in boundary.objects)
jet_cache = None
if actuated:
cfg = replace(cfg)
cfg.validate()
tables["surface_velocity"], tables["aperture"], shape, jet_id = _surface_links(
tables["surface_velocity"], tables["aperture"] = surface_link_velocity(
boundary.objects, cfg, boundary.flags, fluid_idx, dirs, body_id, rx, ry,
jets=jets, hits=boundary.curved_hits, _shifted_blocked=_shifted_blocked)
if jets:
jet_cache = (shape, jet_id)
return _BlockedBoundary(boundary, tables, jets, actuated, jet_cache)
return _BlockedBoundary(boundary, tables, jets, actuated,
jet_link_shapes(jets, boundary.curved_hits) if jets else None)
+1 -1
View File
@@ -28,7 +28,7 @@ class LBMStepper:
self.boundary_values_gpu = cuda.mem_alloc((6 * cfg.nx + 2 * cfg.ny * cfg.nq) * 4)
else:
self.step_fn = module.get_function("OneStep")
self.init_fn = module.get_function("InitTubeFlow")
self.init_fn = module.get_function("InitTubeFlow_v2")
self.curved_fn = module.get_function("CurvedBoundaryKernel")
self.prepare_esopull_curved_fn = module.get_function("PrepareEsoPullCurvedKernel")
+24 -20
View File
@@ -46,6 +46,7 @@ class Simulation:
device_id: int = 0):
# Internal stream for async DTOH coordination
self._stream: Optional[cuda.Stream] = None
self._build_dir = None
self._closed = False
# Load configs
@@ -58,7 +59,9 @@ class Simulation:
try:
with self.ctx.activate():
arch = self._resolve_compile_arch()
self._module = compiler.build_module(self.lbm_cfg, "uniform.cu", arch=arch)
self._build_dir = compiler.generate_config(self.lbm_cfg, n_objects=0)
self._ptx_path = compiler.compile_kernel(arch=arch, build_dir=self._build_dir)
self._module = compiler.load_module(self._ptx_path)
self._compiled_n_objects = 0
self._allocation_signature = self.lbm_cfg.allocation_signature()
self._compiled_viscosity = self.lbm_cfg.viscosity
@@ -333,19 +336,13 @@ class Simulation:
def read_surface_exchange(self, id: int):
"""Latest step's wall/aperture (Fx,Fy,Tz) exchange, not total nozzle force.
Supports SurfaceActuation and Jet-driven bodies, including zero-amplitude
apertures. Passive bodies without an aperture are rejected.
Unlike read_body this is not accumulated/time-averaged. It resets after
geometry sync or checkpoint load; advance before interpreting it.
"""
obj = self.bodies.get(id)
curved = self.field.curved
has_aperture = (curved.aperture is not None
and np.any(curved.aperture & (curved.body_id == id)))
if obj.surface_actuation is None and not has_aperture:
if self.bodies.get(id).surface_actuation is None:
raise ValueError("Body has no surface actuation")
self.stream.synchronize()
return curved.surface_exchange(id)
return self.field.curved.surface_exchange(id)
@context_bound
def read_body(self, id: int, *,
@@ -409,8 +406,15 @@ class Simulation:
self.lbm_cfg.validate_runtime()
self._assert_allocation_contract()
arch = self._resolve_compile_arch()
self._module = compiler.build_module(self.lbm_cfg, "uniform.cu", arch=arch,
n_objects=expected_n_objects)
next_dir = compiler.generate_config(self.lbm_cfg, n_objects=expected_n_objects)
try:
next_ptx = compiler.compile_kernel(arch=arch, build_dir=next_dir)
next_module = compiler.load_module(next_ptx)
except Exception:
compiler.cleanup_build_dir(next_dir)
raise
old_dir = self._build_dir
self._build_dir, self._ptx_path, self._module = next_dir, next_ptx, next_module
self._compiled_n_objects = int(expected_n_objects)
# Reconnect field and stepper to new module
@@ -428,6 +432,7 @@ class Simulation:
self.stepper._step_count = _prev_step_count
self._assert_object_count_contract(expected_count=expected_n_objects)
compiler.cleanup_build_dir(old_dir)
def recompile(self):
"""Re-generate config headers and recompile kernel.
@@ -446,21 +451,18 @@ class Simulation:
@context_bound
def initialize(self):
"""Initialize flow field and sync objects to GPU."""
self._assert_allocation_contract()
# Validate the complete geometry before flags, populations or modules
# change. Compact-list construction publishes no outputs on failure.
next_flags = self.bodies.build_flags(self.field.build_channel_flags())
if self.bodies.jets and self.bodies.count == 0:
raise ValueError("Jets need bodies with cut links")
self.bodies.build_compact_lists_for(self.bodies.objects, next_flags)
# Recompile if objects were added after construction.
self._assert_allocation_contract()
if self._read_generated_n_objects() != self.bodies.count:
self.recompile()
self.field.flag = next_flags
self.field.flag = self.field.build_channel_flags()
if self.bodies.count > 0:
self.field.flag = self.bodies.build_flags(self.field.flag)
self.field.upload_flags()
if self.bodies.jets and self.bodies.count == 0:
raise ValueError("Jets need bodies with cut links")
self.stepper.initialize()
if self.bodies.count > 0:
self.bodies.sync_to_gpu(self.field, rebuild_flags=False)
@@ -704,6 +706,8 @@ class Simulation:
self._module = None
self._stream = None
ctx.close()
compiler.cleanup_build_dir(getattr(self, "_build_dir", None))
self._build_dir = None
self._closed = True
def __enter__(self):
@@ -1,66 +0,0 @@
"""Checkpoint save -> load round trip for a scene with passive bodies. Requires GPU.
A fresh Simulation with the same scene, restored from the checkpoint must hold the same populations,
flags, body count and step count, and must stay bitwise identical to the original
after both continue for the same number of steps. Checkpoints with Jets are
refused (documented limitation) and are not covered here.
"""
import os
import tempfile
import unittest
import numpy as np
from ._cases import make_sim
# Three separated cylinders (pinball-like); cut-link receivers stay in bulk fluid.
CIRCLES = (((40, 32), 6), ((56, 22), 6), ((56, 42), 6))
def scene():
sim = make_sim()
sim.initialize()
for center, radius in CIRCLES:
sim.add_body("circle", center=center, radius=radius)
sim.sync_bodies()
return sim
class CheckpointBodiesGPU(unittest.TestCase):
def test_round_trip_is_bitwise_and_continues_identically(self):
sim = scene()
sim.run(60)
with tempfile.NamedTemporaryFile(suffix=".h5", delete=False) as f:
path = f.name
restored = None
try:
saved = sim.save_checkpoint(path)
# The loader requires the same body count and geometry: rebuild the scene.
restored = scene()
restored.load_checkpoint(saved)
self.assertEqual(restored.bodies.count, len(CIRCLES))
self.assertEqual(restored.stepper.step_count, sim.stepper.step_count)
np.testing.assert_array_equal(restored.get_flags(), sim.get_flags())
a, b = sim.get_ddf(), restored.get_ddf()
self.assertEqual(a.dtype, b.dtype)
self.assertEqual(a.tobytes(), b.tobytes())
sim.run(40)
restored.run(40)
self.assertEqual(restored.stepper.step_count, sim.stepper.step_count)
a, b = sim.get_ddf(), restored.get_ddf()
self.assertTrue(np.isfinite(a).all())
self.assertEqual(a.tobytes(), b.tobytes())
for i in range(len(CIRCLES)):
self.assertTrue(np.all(np.isfinite(restored.read_force(i))))
finally:
if restored is not None:
restored.close()
os.unlink(path)
sim.close()
if __name__ == "__main__":
unittest.main()
@@ -13,7 +13,7 @@ from ._cases import make_sim
def test_source_provenance():
root = Path(__file__).resolve().parents[2] / "src/CelerisLab"
assert Path(CelerisLab.__file__).resolve().parent == root
assert Path(compiler_v2.kernel_path("uniform.cu")).resolve() == root / "lbm/kernels/uniform.cu"
assert Path(compiler_v2.kernel_path("kernel_v2.cu")).resolve() == root / "lbm/kernels/kernel_v2.cu"
def test_two_contexts_interleaved_and_non_lifo_close():
@@ -21,7 +21,7 @@ def test_two_contexts_interleaved_and_non_lifo_close():
first = make_sim(nx=32, ny=16)
second = make_sim(nx=48, ny=24, streaming="esopull", shifted=True)
try:
assert first._module is not second._module
assert first._build_dir != second._build_dir
assert cuda.Context.get_current() == before
first.initialize()
second.initialize()
+1 -2
View File
@@ -16,7 +16,6 @@
#define NZ 1
#define NT 1
#define COLLISION_MODEL 0
#define BLOCK_ROOT_BC 2
#define USE_LES 0
#define RHO 1.f
#define U0 .025f
@@ -41,7 +40,7 @@ inline float __fdiv_rn(float a,float b){return a/b;}
#include "boundary/inlet_outlet.cuh"
#include "step/one_step_double.cu"
#else
#include "core/cell_kind.cuh"
constexpr unsigned char KIND_OUTER=2;
#include "step/block_channel.cu"
#endif
int main(){
-46
View File
@@ -1,46 +0,0 @@
"""Check historical source manifests against their own recorded commit, not today's checkout."""
import io
from pathlib import Path
import subprocess
import tarfile
ROOT = Path(__file__).resolve().parents[2]
def _require(commit):
"""Missing recorded history is an explicit failure, never a skip or a repin."""
found = subprocess.run(
["git", "-C", str(ROOT), "cat-file", "-e", commit + "^{commit}"],
capture_output=True,
)
if found.returncode:
raise AssertionError(
f"Required history missing: commit {commit} is not in this clone; "
"fetch it instead of repinning or substituting"
)
def tracked(commit, prefix="src"):
"""Tracked paths under prefix at the recorded commit."""
_require(commit)
return set(
subprocess.check_output(
["git", "-C", str(ROOT), "ls-tree", "-r", "--name-only", commit, prefix],
text=True,
).splitlines()
)
def historical_tree(commit, dest):
"""Extract the tracked tree of the recorded commit into dest."""
_require(commit)
archive = subprocess.check_output(
["git", "-C", str(ROOT), "archive", "--format=tar", commit]
)
dest = Path(dest)
dest.mkdir(parents=True, exist_ok=True)
extra = {"filter": "data"} if hasattr(tarfile, "data_filter") else {}
with tarfile.open(fileobj=io.BytesIO(archive)) as tar:
tar.extractall(dest, **extra)
return dest
-104
View File
@@ -1,104 +0,0 @@
"""Host contract of PeriodicBlockStepper.step(n): one stream wait per call (mocked driver)."""
import ast
from contextlib import nullcontext
import importlib.util
from pathlib import Path
import types
from unittest.mock import Mock
import unittest
import numpy as np
from CelerisLab.config import LBMConfig
from CelerisLab.lbm.blocks import BlockLayout2D
def host_module():
"""block_stepper with pycuda/compiler replaced by mocks; no GPU context."""
# Locate the source without importing it: importing block_stepper loads pycuda.driver,
# which CPU-only import-boundary tests (test_build_contracts) must never see.
path = Path(importlib.util.find_spec("CelerisLab.lbm.block_stepper").origin)
tree = ast.parse(path.read_text())
tree.body = [node for node in tree.body if not (
isinstance(node, ast.Import) and any(a.name == "pycuda.driver" for a in node.names)
or isinstance(node, ast.ImportFrom) and node.module == "cuda")]
module = types.ModuleType("CelerisLab.lbm._test_host_block_stepper")
module.__package__ = "CelerisLab.lbm"
module.__dict__.update(cuda=Mock(), compiler=Mock())
exec(compile(tree, str(path), "exec"), module.__dict__)
return module
def backend():
host, log = host_module(), []
host.cuda.mem_get_info.return_value = (1 << 40, 1 << 40)
host.cuda.mem_alloc.side_effect = lambda size: Mock(size=size) # distinct buffers
module = Mock()
module.get_global.return_value = (Mock(), 20)
module.get_function.side_effect = lambda name: Mock(
side_effect=lambda *a, **k: log.append((name, a[:2])))
host.compiler.build_module.return_value = module
cfg = LBMConfig(nx=16, ny=16, viscosity=.1)
run = host.PeriodicBlockStepper(cfg, BlockLayout2D.build(16, 16, 8, 8),
context=Mock(activate=nullcontext, sm_arch="sm_70"))
run._stream.synchronize.side_effect = lambda: log.append(("sync", ()))
run.initialize(np.full((9, 16, 16), 1 / 9))
log.clear()
return run, log
class BlockStepSync(unittest.TestCase):
def test_step_n_waits_once_and_matches_n_single_steps(self):
many, log_many = backend()
many.step(3)
single, log_single = backend()
for _ in range(3):
single.step(1)
names = [name for name, _ in log_many]
self.assertEqual(names.count("sync"), 1)
self.assertEqual(names[-1], "sync")
self.assertEqual(names.count("BlockStep"), 3)
# Same launch order and buffer roles as three step(1) calls.
strip = lambda log: [(n, tuple(id(x) for x in a)) for n, a in log if n != "sync"]
roles = lambda run, log: [(n, tuple({id(run._current): "c", id(run._spare): "s"}.get(x, "-")
for x in ids)) for n, ids in strip(log)]
self.assertEqual([n for n, _ in strip(log_many)], [n for n, _ in strip(log_single)])
self.assertEqual(roles(many, log_many), roles(single, log_single))
self.assertIsNot(many._current, many._spare)
self.assertEqual((many.step_count, single.step_count), (3, 3))
def test_step_zero_launches_and_waits_for_nothing(self):
run, log = backend()
run.step(0)
self.assertEqual((log, run.step_count), ([], 0))
def test_failure_keeps_entry_step_count(self):
run, log = backend()
run.step(1)
run._stream.synchronize.side_effect = RuntimeError("device fault")
with self.assertRaises(RuntimeError):
run.step(2)
self.assertEqual((run.step_count, run._status), (1, "failed"))
def test_launch_failure_mid_batch_fails_closed_without_waiting(self):
run, log = backend()
calls = []
step = run._step
def failing(*args, **kwargs):
calls.append(1)
if len(calls) == 2:
raise RuntimeError("launch failure")
return step(*args, **kwargs)
run._step = failing
with self.assertRaises(RuntimeError):
run.step(3)
self.assertNotIn("sync", [name for name, _ in log])
self.assertEqual((run.step_count, run._status), (0, "failed"))
with self.assertRaises(RuntimeError):
run.download()
if __name__ == "__main__":
unittest.main()
+5 -29
View File
@@ -83,32 +83,6 @@ assert abs(sum(compute_feq_d2q9(1.,0.,0.)) - 1.) < 1e-6
class BuildContracts(unittest.TestCase):
def test_block_root_modes_are_rendered_and_recorded(self):
with tempfile.TemporaryDirectory() as root:
for mode in (0, 1, 2):
with self.subTest(mode=mode):
build = compiler.generate_config(LBMConfig(), build_root=root, block_root_bc=mode)
try:
method = Path(build, "config/config_method.h").read_text()
self.assertIn(f"#define BLOCK_ROOT_BC {mode}\n", method)
metadata = json.loads(Path(build, ".celeris-build").read_text())
self.assertEqual(metadata["block_root_bc"], mode)
self.assertNotIn("block_root_bc", metadata["config"])
finally:
compiler.cleanup_build_dir(build)
build = compiler.generate_config(LBMConfig(), build_root=root)
try:
self.assertEqual(json.loads(Path(build, ".celeris-build").read_text())["block_root_bc"], 0)
finally:
compiler.cleanup_build_dir(build)
def test_invalid_block_root_mode_fails_before_snapshot(self):
for mode in (-1, 3, True, False, 1.0, "1", None):
with self.subTest(mode=mode), patch.object(compiler.tempfile, "mkdtemp") as allocate:
with self.assertRaisesRegex(ValueError, "block_root_bc"):
compiler.generate_config(LBMConfig(), block_root_bc=mode)
allocate.assert_not_called()
@staticmethod
def fake_compile(command, check):
source = Path(command[-3])
@@ -126,7 +100,8 @@ class BuildContracts(unittest.TestCase):
def work(nx, count):
build = compiler.generate_config(LBMConfig(nx=nx), count, build_root=root)
barrier.wait()
output = compiler.compile_kernel(build_dir=build)
# Compatibility form is context-local even without explicit path.
output = compiler.compile_kernel()
data = json.loads(Path(output).read_text())
self.assertEqual(data, {"nx": nx, "objects": count})
metadata = json.loads(Path(output + ".json").read_text())
@@ -155,7 +130,7 @@ class BuildContracts(unittest.TestCase):
compiler.cleanup_build_dir(a)
compiler.cleanup_build_dir(b)
with self.assertRaises(RuntimeError):
compiler.compile_kernel(build_dir=a) # removed snapshot is never compiled
compiler.compile_kernel()
def test_failed_compile_cannot_implicitly_load_previous_artifact(self):
with tempfile.TemporaryDirectory() as root:
@@ -168,7 +143,8 @@ class BuildContracts(unittest.TestCase):
with self.assertRaises(subprocess.CalledProcessError):
compiler.compile_kernel(build_dir=build)
self.assertEqual(Path(previous).read_bytes(), old_bytes)
self.assertEqual(sorted(Path(build).glob("uniform-*.ptx")), []) # no partial output
with self.assertRaisesRegex(RuntimeError, "No compiled PTX"):
compiler.load_module()
compiler.cleanup_build_dir(build)
+5 -6
View File
@@ -50,7 +50,7 @@ def test_masks_and_minimal_footprint():
def test_actual_closure_read_conflicts():
pair, layout, targets = transfer((6, 6, 18, 14))
validate_channel_transfers(pair, layout, targets)
for target in (layout.slot(int(layout.owner[5, -1]) - 1, 2), # integer under NumPy 1 and 2
for target in (layout.slot(layout.owner[5, -1]-1, 2),
layout.slot(layout.owner[1, 4], 4),
layout.slot(layout.owner[-2, 4], 3)):
with pytest.raises(ValueError, match="immutable"):
@@ -74,14 +74,14 @@ def test_evolved_ghost_snapshot_and_physical_download():
from .test_refinement_three_level_multipatch import host_module
host = host_module()
storage = {}
host.compiler.build_module.return_value.get_global.side_effect = lambda name: (name, 12 if name == "d_block_channel" else 20)
host.compiler.load_module.return_value.get_global.side_effect = lambda name: (name, 12 if name == "d_block_channel" else 20)
host.cuda.mem_alloc.side_effect = lambda size: Mock()
host.cuda.memcpy_htod.side_effect = lambda ptr, a: storage.__setitem__(id(ptr), np.array(a, copy=True))
host.cuda.memcpy_dtoh.side_effect = lambda a, ptr: np.copyto(a, storage[id(ptr)])
context = Mock(activate=nullcontext, sm_arch="sm_70")
cfg = LBMConfig(nx=24, ny=20, viscosity=.1, velocity=.025)
backend = host.FixedPatchStepper(cfg, context=context, coarse_boundary="channel",
refinements=[(6, 6, 18, 14)], level_blocks=[(4, 6), (4, 4)])
backend = host.FixedPatchStepper(cfg, (6, 6, 18, 14), context=context,
coarse_boundary="channel", base_block=(4, 6), fine_block=(4, 4))
try:
weights = np.array([4/9]+[1/9]*4+[1/36]*4)[:, None, None]
arrays = [np.broadcast_to(weights, level.shape).copy() for level in backend._levels]
@@ -96,7 +96,6 @@ def test_evolved_ghost_snapshot_and_physical_download():
arrays[0][0, 0, 0] = np.nan
with pytest.raises(ValueError, match="finite"):
backend.initialize(*arrays)
assert backend._levels[0].kernel == host.compiler.build_module.return_value.get_function("BlockChannelStep")
assert [call.kwargs["block_root_bc"] for call in host.compiler.build_module.call_args_list] == [2, 0]
assert backend._levels[0].kernel == host.compiler.load_module.return_value.get_function("BlockChannelStep")
finally:
backend.close()
-79
View File
@@ -1,79 +0,0 @@
"""CPU-only contract tests for run_dfg_re20. Not CUDA or DFG acceptance evidence."""
import sys
from pathlib import Path
import unittest
sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "validation"))
import run_dfg_re20 as v # noqa: E402
import run_refined_dfg as rr # noqa: E402
h, _ = rr.helpers(rr.DEFAULT_SOURCE)
def rows(values, tstar_end=v.TSTAR_MAX):
n = int(round(tstar_end / v.SAMPLE_TSTAR))
return [dict(tstar=(i + 1) * v.SAMPLE_TSTAR, **values(i)) for i in range(n)]
class Re20Contract(unittest.TestCase):
def test_lattice_parameters_and_bounds(self):
root, uniform = v.lattice_parameters(40), v.lattice_parameters(80)
self.assertAlmostEqual(root["tau"], 0.56, places=12)
self.assertAlmostEqual(uniform["tau"], 0.62, places=12)
self.assertEqual((root["steps"], root["interval"]), (240000, 2000))
self.assertEqual((uniform["steps"], uniform["interval"]), (480000, 4000))
self.assertAlmostEqual(v.plan()["refined_fine_tau"], 0.62, places=12)
def test_config_only_changes_viscosity(self):
base = v._re100_config(h, 40, "SRT", "none")
cfg, body, p = v.config(h, 40, "SRT")
self.assertAlmostEqual(cfg["physics"]["viscosity"], 0.01 * 40 / 20, places=15)
self.assertEqual((p["re"], p["viscosity"]), (20.0, cfg["physics"]["viscosity"]))
base[0]["physics"]["viscosity"] = cfg["physics"]["viscosity"]
self.assertEqual(base[0], cfg)
self.assertEqual(base[1], body)
with self.assertRaisesRegex(ValueError, "no Jets"):
v.config(h, 40, "MRT", "zero")
def test_units(self):
s = v.sample([2.0, -0.5], 4, 40, 3.0)
den = rr.SPEED**2 * 40 / 2
self.assertAlmostEqual(s["cd"], 2.0 / 4 / den)
self.assertAlmostEqual(s["cl"], -0.5 / 4 / den)
self.assertAlmostEqual(s["p_diff"], 3.0 * 0.04)
self.assertEqual(s["dp_scaled"], 3.0)
def test_steady_and_verdict(self):
inside = dict(cd=5.58, cl=0.0106, p_diff=0.1174)
out = v.summarize(rows(lambda i: inside))
self.assertEqual((out["status"], out["steady"], out["window_samples"]),
("WITHIN_INTERVALS", True, 21))
self.assertTrue(out["cd_positive"])
self.assertAlmostEqual(out["edge_distance"]["cl"], 0.0002)
self.assertTrue(all(out["verdict"].values()))
low = v.summarize(rows(lambda i: dict(inside, cl=0.0100)))
self.assertEqual(low["status"], "OUTSIDE_INTERVALS")
self.assertFalse(low["verdict"]["cl"])
def test_slow_drift_gives_no_verdict(self):
# Range 2e-5 passes (limit 6e-5); slope * window 2e-5 exceeds 1.2e-5.
out = v.summarize(rows(lambda i: dict(cd=5.58, cl=0.0106 + 1e-6 * i, p_diff=0.1174)))
self.assertEqual((out["status"], out["verdict"]), ("NOT_STEADY", None))
self.assertLessEqual(out["ranges"]["cl"], out["range_limits"]["cl"])
self.assertGreater(out["drifts"]["cl"], out["slope_limits"]["cl"])
def test_noise_range(self):
quiet = v.summarize(rows(lambda i: dict(cd=5.58, cl=0.0106 + 2e-5 * (i % 2), p_diff=0.1174)))
self.assertTrue(quiet["steady"]) # within the range limit, no trend
noisy = v.summarize(rows(lambda i: dict(cd=5.58, cl=0.0106 + 1e-4 * (i % 2), p_diff=0.1174)))
self.assertEqual(noisy["status"], "NOT_STEADY")
self.assertGreater(noisy["ranges"]["cl"], noisy["range_limits"]["cl"])
def test_incomplete_run_gives_no_verdict(self):
out = v.summarize(rows(lambda i: dict(cd=5.58, cl=0.0106, p_diff=0.1174), tstar_end=30))
self.assertEqual((out["status"], out["verdict"]), ("INCOMPLETE", None))
if __name__ == "__main__":
unittest.main()
+1 -43
View File
@@ -8,7 +8,6 @@ import numpy as np
ROOT = Path(__file__).resolve().parents[2]
REPO = ROOT
sys.path.insert(0, str(ROOT / "tests/validation"))
sys.path.insert(0, str(ROOT / "tests/unit"))
sys.path.insert(0, str(REPO / "src"))
from run_jet_circle_cv import (
CX,
@@ -17,10 +16,8 @@ from run_jet_circle_cv import (
case,
state,
cv,
cv_from_macros,
aperture_probe,
measured_aperture_flux,
PIN,
verify,
)
@@ -31,39 +28,6 @@ def eq(rho, u, v):
class Host(unittest.TestCase):
def test_public_macros_pressure_advection_and_cropped_frames(self):
for h, origin, shape, rect in (
(.5, (0., 0.), (48, 64), (5., 4., 25., 20.)),
(.5, (.25, .5), (48, 64), (5.25, 4., 25.25, 20.)),
(.25, (.375, .75), (96, 128), (5.125, 4., 25.125, 20.)),
):
y, x = np.indices(shape)
x = origin[0] + h * (x + .5)
k, u, v = 1e-5, .02, -.01
rho = 1 + 3 * k * x # p=(rho-1)/3=k*x
ux, uy, fluid = np.full(shape, u), np.full(shape, v), np.ones(shape, bool)
result = cv_from_macros(rho, ux, uy, fluid, origin, rect, .004, h)
expected = 320 * np.array([3*k*u, k + 3*k*u*u, 3*k*u*v])
np.testing.assert_allclose(result[1], expected, rtol=1e-11, atol=1e-13)
np.testing.assert_allclose(result, cv(eq(rho, u, v), fluid, origin, rect, .004, h), atol=1e-12)
x0, y0, x1, y1 = np.rint((np.array(rect)-np.tile(origin, 2))/h).astype(int)
selection = np.s_[y0-2:y1+2, x0-2:x1+2]
cropped_origin = np.asarray(origin) + h*np.array([x0-2, y0-2])
cropped = cv_from_macros(rho[selection], ux[selection], uy[selection],
fluid[selection], cropped_origin, rect, .004, h)
np.testing.assert_array_equal(cropped, result)
def test_public_macros_full_normal_viscous_stress(self):
y, x = np.indices((48, 64))
x = (x + .5) * .5
rho, ux, uy, fluid = np.ones_like(x), 1e-4*x*x, np.zeros_like(x), np.ones(x.shape, bool)
args = (rho, ux, uy, fluid, (0., 0.), (5., 4., 25., 20.))
_, viscous = cv_from_macros(*args, .004)
_, inviscid = cv_from_macros(*args, 0.)
np.testing.assert_allclose(viscous-inviscid, [0, -4*.004*1e-4*320, 0], atol=1e-13)
with self.assertRaisesRegex(ValueError, "matching 2D"):
cv_from_macros(rho, ux, uy[:-1], fluid, (0, 0), (5, 4, 25, 20), .004)
def test_descriptor_and_uniform_closed_flux(self):
from CelerisLab.lbm.descriptors import D2Q9_EX, D2Q9_EY
@@ -168,13 +132,7 @@ class Host(unittest.TestCase):
self.assertEqual(a["steps"] * 4, b["steps"])
def test_source_pin(self):
from tempfile import TemporaryDirectory
from historical_tree import historical_tree
with self.assertRaisesRegex(RuntimeError, "Source hash mismatch"):
verify(REPO)
with TemporaryDirectory() as directory:
verify(historical_tree(PIN, directory))
verify(REPO)
if __name__ == "__main__":
-49
View File
@@ -188,55 +188,6 @@ def jet_case(device, jets):
return field, bodies
def test_public_surface_exchange_for_jet_preserves_aperture_at_zero_and_reverse(device):
from CelerisLab.simulation import Simulation
jet = Jet(Sector(CENTER, 0., .6, 3.), Radial(CENTER, inward=False), "quartic", 2e-3)
field, bodies = jet_case(device, [jet])
sim = SimpleNamespace(bodies=bodies, field=field, _initialized=True,
stream=SimpleNamespace(synchronize=device.synchronize))
cl = field.curved
assert bodies.get(0).surface_actuation is None
aperture, velocity = cl.aperture, cl.surface_velocity.copy()
assert aperture.any() and (~aperture).any()
# Synthetic per-link exchanges test readback/splitting, not kernel physics.
values = np.arange(cl.count * 3, dtype=np.float32).reshape(-1, 3)
device.htod(cl.link_exchange_gpu, values)
for amplitude in (2e-3, 0., -1e-3):
Simulation.set_jet_amplitude(sim, 0, amplitude)
result = Simulation.read_surface_exchange(sim, 0)
assert cl.aperture is aperture
np.testing.assert_array_equal(aperture, cl.jet_id >= 0)
np.testing.assert_allclose(cl.surface_velocity, velocity * (amplitude / 2e-3))
for name, mask in (("wall", ~aperture), ("aperture", aperture)):
np.testing.assert_array_equal(result[name], values[mask].sum(axis=0, dtype=np.float64))
def test_public_surface_exchange_keeps_legacy_and_passive_guards(device):
from CelerisLab.simulation import Simulation
field = make_field(device)
bodies = manager(field, [circle(SurfaceActuation(0., .6, .002), radius=2.)])
bodies.sync_to_gpu(field)
sim = SimpleNamespace(bodies=bodies, field=field,
stream=SimpleNamespace(synchronize=device.synchronize))
for value in Simulation.read_surface_exchange(sim, 0).values():
np.testing.assert_array_equal(value, 0.)
field.curved.free_gpu_columns()
with pytest.raises(RuntimeError, match="diagnostic is allocated"):
Simulation.read_surface_exchange(sim, 0)
# An exchange buffer elsewhere in the scene must not admit a passive body.
for jets in ([], [Jet(Sector(CENTER, 0., .6, 3.), Radial(CENTER))]):
field, bodies = jet_case(device, jets)
passive = bodies.add(circle(center=(2., 3.), radius=.6))
bodies.sync_to_gpu(field)
sim.bodies, sim.field = bodies, field
with pytest.raises(ValueError, match="Body has no surface actuation"):
Simulation.read_surface_exchange(sim, passive)
if not jets:
with pytest.raises(ValueError, match="Body has no surface actuation"):
Simulation.read_surface_exchange(sim, 0)
def test_manager_passes_true_hits_and_reuploads_only_velocity(device):
# CPU memory double only: checks host/device bookkeeping, not GPU numerics.
jet = Jet(Sector(CENTER, 0., .6, 3.), Radial(CENTER, inward=False), "quartic", 2e-3)
+16 -27
View File
@@ -15,10 +15,6 @@ sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "validation"))
from run_uniform_les_flow import source_guard, decode_macros, HERE, HEADER
ROOT = HERE.parents[1]
sys.path.insert(0, str(ROOT / "tests/unit"))
from historical_tree import historical_tree, tracked
A135 = "a135252ae78b47b57d7e77d19001700b3bedac8b"
class GuardTests(unittest.TestCase):
@@ -46,23 +42,19 @@ class GuardTests(unittest.TestCase):
decode_macros(invalid, w, cx, cy)
def test_current_corrected_pins(self):
with TemporaryDirectory() as directory:
root = historical_tree(A135, directory)
with patch("run_uniform_les_flow.subprocess.check_output", return_value="historical-tree\n"):
identity = source_guard(root, "corrected", "a135252")
# base_commit comes from the pins file; the mock only feeds checkout_commit.
self.assertEqual(identity["base_commit"], A135)
self.assertEqual(identity["checkout_commit"], "historical-tree")
self.assertEqual(
source_guard(ROOT, "corrected", "a135252")["base_commit"],
"a135252ae78b47b57d7e77d19001700b3bedac8b",
)
def test_corrected_and_tamper_guard(self):
pins = json.loads((HERE / "data/les_flow/source_pins_a135252.json").read_text())
with TemporaryDirectory() as directory:
origin = historical_tree(A135, Path(directory) / "origin")
root = Path(directory) / "fixture"
root = Path(directory)
for name in pins["sources"]:
dest = root / name
dest.parent.mkdir(parents=True, exist_ok=True)
shutil.copyfile(origin / name, dest)
shutil.copyfile(ROOT / name, dest)
with patch(
"run_uniform_les_flow.subprocess.check_output",
return_value="isolated-fixture\n",
@@ -95,26 +87,23 @@ class GuardTests(unittest.TestCase):
def test_current_manifest_pins_actual_corrected_tree(self):
pins = json.loads((HERE / "data/les_flow/source_pins_a135252.json").read_text())
self.assertEqual(pins["base_commit"], A135)
self.assertEqual(set(pins["sources"]), tracked(A135))
with TemporaryDirectory() as directory:
root = historical_tree(A135, directory)
for name, expected in pins["sources"].items():
self.assertEqual(hashlib.sha256((root / name).read_bytes()).hexdigest(), expected)
self.assertEqual(pins["sources"][HEADER], pins["candidate_header_sha256"])
self.assertNotEqual(pins["sources"][HEADER], pins["baseline_header_sha256"])
with self.assertRaisesRegex(RuntimeError, "Source pin mismatch"):
source_guard(root, "baseline", "a135252")
tracked = subprocess.check_output(["git", "-C", str(ROOT), "ls-files", "src"], text=True)
self.assertEqual(set(pins["sources"]), set(tracked.splitlines()))
for name, expected in pins["sources"].items():
self.assertEqual(hashlib.sha256((ROOT / name).read_bytes()).hexdigest(), expected)
self.assertEqual(pins["sources"][HEADER], pins["candidate_header_sha256"])
self.assertNotEqual(pins["sources"][HEADER], pins["baseline_header_sha256"])
with self.assertRaisesRegex(RuntimeError, "Source pin mismatch"):
source_guard(ROOT, "baseline", "a135252")
def test_named_baseline_accepts_only_reversed_header(self):
pins = json.loads((HERE / "data/les_flow/source_pins_a135252.json").read_text())
with TemporaryDirectory() as directory:
origin = historical_tree(A135, Path(directory) / "origin")
root = Path(directory) / "fixture"
root = Path(directory)
for name in pins["sources"]:
dest = root / name
dest.parent.mkdir(parents=True, exist_ok=True)
shutil.copyfile(origin / name, dest)
shutil.copyfile(ROOT / name, dest)
subprocess.run(["git", "apply", "--reverse", str(HERE / "les/data/smagorinsky_normalization.patch")], cwd=root, check=True)
with patch("run_uniform_les_flow.subprocess.check_output", return_value="baseline-fixture\n"):
source_guard(root, "baseline", "a135252")
+1 -1
View File
@@ -135,6 +135,6 @@ def test_d2_entrypoint_compiles_in_isolation(tmp_path, model, shift, storage):
source=re.sub(r"(#define\s+"+key+r"\s+)\S+",lambda match: match[1]+str(value),source)
path.write_text(source)
result=subprocess.run([nvcc,"-ptx","-arch=sm_70","-std=c++17",
str(copy/"uniform.cu"),"-o",str(tmp_path/"kernel.ptx")],
str(copy/"kernel_v2.cu"),"-o",str(tmp_path/"kernel.ptx")],
capture_output=True,text=True)
assert result.returncode == 0, result.stderr
+1 -1
View File
@@ -18,7 +18,7 @@ from .test_state_regressions import device, make_field, manager
def test_planar_helper_moments_and_known_populations(tmp_path):
root = Path(__file__).resolve().parents[2]
assert Path(CelerisLab.__file__).resolve() == root/'src/CelerisLab/__init__.py'
assert Path(compiler.kernel_path('uniform.cu')).resolve() == root/'src/CelerisLab/lbm/kernels/uniform.cu'
assert Path(compiler.kernel_path('kernel_v2.cu')).resolve() == root/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
lines = compile_run(tmp_path, 'planar_velocity.cpp', dict(WALL_NORMAL_VELOCITY='0.0f'))
cx = np.array([0,1,-1,0,0,1,-1,1,-1])
cy = np.array([0,0,0,1,-1,1,-1,-1,1])
+1 -1
View File
@@ -162,7 +162,7 @@ class ProjectedKernelTests(unittest.TestCase):
targets = child.owner.ravel()[p.ghost_fine]
donors = parent.owner.ravel()[p.ghost_coarse]
source = (Path(__file__).resolve().parents[2] /
"src/CelerisLab/lbm/kernels/step/block_transfer.cu").read_text()
"src/CelerisLab/lbm/kernels/blocks.cu").read_text()
kernel = source.split('extern "C" __global__ void BlockExplodeProjected(',1)[1]
kernel = 'void BlockExplodeProjected(' + kernel.split('// Targets are receiver-local SOURCE slots',1)[0]
def array(name, values, kind):
+1 -1
View File
@@ -29,7 +29,7 @@ def backend(**options):
name=name, side_effect=lambda *a, **kw: calls.append((name, a, kw)))
return module
host.compiler.build_module.side_effect = lambda *a, **k: load(None)
host.compiler.load_module.side_effect = load
host.cuda.memcpy_htod.side_effect = lambda ptr, a: storage.__setitem__(id(ptr), np.array(a, copy=True))
host.cuda.memcpy_dtoh.side_effect = lambda a, ptr: np.copyto(a, storage[id(ptr)])
cfg = options.pop('cfg', CFG)
+3 -4
View File
@@ -25,7 +25,7 @@ def backend(observe=True, obj=None):
module = Mock()
module.get_global.return_value = (Mock(), 20)
module.get_function.side_effect = lambda name: Mock(side_effect=lambda *a, **k: calls.append((name, a, k)))
host.compiler.build_module.return_value = module
host.compiler.load_module.return_value = module
host.cuda.mem_alloc.side_effect = lambda n: Mock(size=n)
host.cuda.memcpy_dtoh.side_effect = lambda array, pointer: array.fill(0)
ctx = Mock(activate=nullcontext, sm_arch='sm_70')
@@ -157,9 +157,8 @@ class RawExchange(unittest.TestCase):
host = host_module()
ctx = Mock()
with self.assertRaisesRegex(ValueError, 'blocked body'):
host.FixedPatchStepper(LBMConfig(nx=32, ny=32, viscosity=.1), context=ctx,
refinements=[(4, 4, 28, 28)],
level_objects=[(), (body(radius=2.15),)], observe_raw_exchange=True)
host.FixedPatchStepper(LBMConfig(nx=32, ny=32, viscosity=.1), (4, 4, 28, 28),
context=ctx, fine_objects=[body(radius=2.15)], observe_raw_exchange=True)
ctx.activate.assert_not_called()
def test_all_depth_weights(self):
+2 -6
View File
@@ -5,7 +5,6 @@ import pytest
ROOT = Path(__file__).resolve().parents[2]
sys.path.insert(0, str(ROOT / "tests/validation"))
sys.path.insert(0, str(ROOT / "tests/unit"))
import re100_helpers as h
import periodic as p
@@ -63,16 +62,13 @@ def test_periodic_synthetic():
assert not p.assess(rows()[:100])["periodic"]
def test_production_unmodified(tmp_path):
from historical_tree import historical_tree
def test_production_unmodified():
m = json.loads(
(ROOT / "tests/validation/data/dfg_re100/source_manifest.json").read_text()
)
assert m["commit"] == h.PIN
origin = historical_tree(m["commit"], tmp_path)
for name, digest in m["production_sha256"].items():
assert hashlib.sha256((origin / name).read_bytes()).hexdigest() == digest, name
assert hashlib.sha256((ROOT / name).read_bytes()).hexdigest() == digest, name
def test_reference():
+10 -227
View File
@@ -7,10 +7,7 @@ import numpy as np
import unittest
sys.path.insert(0, str(Path(__file__).resolve().parents[1] / "validation"))
sys.path.insert(0, str(Path(__file__).resolve().parent))
import run_refined_dfg as r
from historical_tree import historical_tree
from tempfile import TemporaryDirectory
h, periodic = r.helpers(r.DEFAULT_SOURCE)
@@ -20,24 +17,11 @@ def test_source_pin():
assert historical["commit"].startswith("cd3a657")
mrt_history = json.loads((r.HERE / "data/refined_dfg/source_manifest_mrt.json").read_text())
assert mrt_history["commit"].startswith("3ea131e")
with unittest.TestCase().assertRaisesRegex(RuntimeError, "Source mismatch"):
r.verify_source(r.DEFAULT_SOURCE, "MRT", "window")
assert r.verify_source(r.DEFAULT_SOURCE, "MRT", "window")["commit"].startswith("a233c90")
with unittest.TestCase().assertRaisesRegex(RuntimeError, "Source mismatch"):
r.verify_source(r.DEFAULT_SOURCE, "MRT")
with unittest.TestCase().assertRaisesRegex(RuntimeError, "Source mismatch"):
r.verify_source(r.DEFAULT_SOURCE, "SRT")
with TemporaryDirectory() as directory:
for collision, mode, prefix in (
("SRT", "last_base_step", "cd3a657"),
("MRT", "last_base_step", "3ea131e"),
("MRT", "window", "a233c90"),
):
name = {"SRT": "source_manifest.json", "MRT": "source_manifest_mrt.json"}[collision]
name = "source_manifest_window.json" if mode == "window" else name
commit = json.loads((r.HERE / "data/refined_dfg" / name).read_text())["commit"]
assert commit.startswith(prefix)
root = historical_tree(commit, Path(directory) / commit)
assert r.verify_source(root, collision, mode)["commit"] == commit
def test_matched_units_and_planes():
@@ -157,62 +141,28 @@ def test_axis_specific_sampling_phase():
np.testing.assert_allclose(fine_y - ((k + 43) - 0.5) * 0.00125, 0, atol=1e-15)
def frozen_manifest(observation_mode):
"""Frozen MRT manifest JSON as recorded, without hashing the working tree."""
name = "source_manifest_window.json" if observation_mode == "window" else "source_manifest_mrt.json"
return json.loads((r.HERE / "data/refined_dfg" / name).read_text())
def selected_manifest(collision, observation_mode):
"""verify_source's manifest selection with its working-tree hash comparison neutralised.
Source identity is owned by test_source_pin; this exercises only which frozen manifest
verify_source selects and returns for (collision, observation_mode).
"""
from unittest.mock import patch
class Digest(str):
def __ne__(self, other):
return False
class Hash:
def __init__(self, data=b""):
pass
def hexdigest(self):
return Digest()
with patch.object(r.hashlib, "sha256", Hash):
return r.verify_source(r.DEFAULT_SOURCE, collision, observation_mode)
def test_full_requires_completed_pilot():
with unittest.TestCase().assertRaisesRegex(ValueError, "pilot-results"):
r.verify_pilot(None, frozen_manifest("window"))
r.verify_pilot(None, r.verify_source(r.DEFAULT_SOURCE, "MRT", "window"))
def pilot_fixture(path, observation_mode="window", jet_scenario="none", case_selection="both", uniform_diameter=80, placement="wide"):
def pilot_fixture(path, observation_mode="window"):
"""Synthetic contract fixture only; never a physical result or run receipt."""
# Receipt-logic fixture: the frozen manifest verify_source returns for a matching tree.
# Source identity itself is checked only by test_source_pin.
manifest = (r.verify_source(r.DEFAULT_SOURCE, "MRT", "window", jet_scenario)
if observation_mode == "window" and jet_scenario != "none" else
frozen_manifest(observation_mode))
selection = dict(case_selection=case_selection, uniform_diameter=uniform_diameter, placement=placement)
manifest = (r.verify_source(r.DEFAULT_SOURCE, "MRT", "window")
if observation_mode == "window" else
json.loads((r.HERE / "data/refined_dfg/source_manifest_mrt.json").read_text()))
(path / "plan.json").write_text(
json.dumps(
dict(
source_manifest=manifest,
**selection,
collision="MRT",
jet_scenario=jet_scenario,
observation_mode=observation_mode,
bounds_root_edge=list(r.PLACEMENTS[placement]),
bounds_root_edge=list(r.BOUNDS),
runner_sha256=r.runner_hash(),
)
)
)
for case, diameter in r.selected_cases(case_selection, uniform_diameter):
for case, diameter in (("uniform", 80), ("refined", 40)):
dest = path / case
dest.mkdir()
interval = round(0.02 * diameter / r.SPEED)
@@ -239,9 +189,7 @@ def pilot_fixture(path, observation_mode="window", jet_scenario="none", case_sel
json.dumps(
dict(
case=case,
**selection,
collision="MRT",
jet_scenario=jet_scenario,
observation_mode=observation_mode,
mode="pilot",
status="pilot_complete",
@@ -258,9 +206,7 @@ def pilot_fixture(path, observation_mode="window", jet_scenario="none", case_sel
json.dumps(
dict(
case=case,
**selection,
collision="MRT",
jet_scenario=jet_scenario,
observation_mode=observation_mode,
mode="pilot",
step=interval,
@@ -395,7 +341,7 @@ def test_record_actual_checkout_separately():
actual = checkout_provenance(r.DEFAULT_SOURCE)
assert len(actual["checkout_revision"]) == 40
assert isinstance(actual["checkout_dirty"], bool)
assert selected_manifest("MRT", "window")["production_origin_commit"].startswith("d930")
assert r.verify_source(r.DEFAULT_SOURCE, "MRT", "window")["production_origin_commit"].startswith("d930")
def test_window_plan_preserves_physics():
@@ -405,7 +351,7 @@ def test_window_plan_preserves_physics():
assert baseline.pop("observation_mode") == "last_base_step"
assert window.pop("observation_mode") == "window"
assert baseline == window
assert selected_manifest(collision, "window")["observation_mode"] == "window"
assert r.verify_source(r.DEFAULT_SOURCE, collision, "window")["observation_mode"] == "window"
with unittest.TestCase().assertRaises(ValueError):
r.verify_source(r.DEFAULT_SOURCE, "MRT", "unknown")
@@ -505,169 +451,6 @@ def test_window_contract_rejection():
assert not backend.events
def test_public_jet_configuration_and_geometry():
for diameter, center, radius in ((40, (80.5, 81), 20), (80, (160, 160.5), 40)):
cfg, _, _ = r.config(h, diameter, "MRT", "fixed")
assert not cfg["method"]["ddf_shifting"] and not cfg["method"]["les"]["enabled"]
jets = r.public_jets(center, radius, "fixed")
assert [j.amplitude for j in jets] == [.001, -.001]
assert all(j.field.inward is False and j.profile == "parabolic" for j in jets)
assert all(j.region.r_max == radius * 1.005 for j in jets)
assert all(j.amplitude == 0 for j in r.public_jets(center, radius, "zero"))
cfg, _, _, host = r.host_geometry(r.DEFAULT_SOURCE, h, "MRT", "fixed")
assert not cfg.ddf_shifting and len(host.boundary_cells) > 0
assert r.public_jets((0, 0), 1, "none") == ()
with unittest.TestCase().assertRaises(ValueError):
r.config(h, 40, "SRT", "fixed")
def test_public_jet_reversal_boundary_and_windows():
from types import SimpleNamespace
calls = []
handle = SimpleNamespace(set_jet_amplitude=lambda i, a: calls.append((i, a)))
for diameter in (40, 80):
boundary = round(250 * diameter / r.SPEED)
assert r.jet_interval(handle, "fixed", boundary - 3, 80, diameter) == (3, None)
switch = round(300 * diameter / r.SPEED)
assert r.jet_interval(handle, "reverse", switch - 3, 80, diameter) == (3, None)
assert not calls
n, event = r.jet_interval(handle, "reverse", switch, 80, diameter)
assert n == 80 and event["step"] == switch and event["tstar"] == 300
assert calls == [(0, -.001), (1, .001)]
calls.clear()
assert r.jet_interval(handle, "reverse", switch + 80, 80, diameter) == (80, None)
assert r.jet_interval(handle, "fixed", switch, 80, diameter) == (80, None)
assert not calls
rows = [dict(tstar=t, tstar_force=t - .5, cd=2.0, cl=-.1) for t in range(251, 306)]
windows = r.jet_diagnostics(rows, "reverse")
assert len(windows) == 6 and all(w["complete"] for w in windows)
assert all(w["cd"]["mean"] == 2 and np.isclose(w["cl"]["mean"], -.1) for w in windows)
assert windows[-1]["covered_tstar"] == 5
with unittest.TestCase().assertRaisesRegex(ValueError, "crosses"):
r.jet_diagnostics([dict(tstar=250.5, tstar_force=250, cd=1, cl=0)], "fixed")
assert r.plan(h, "MRT", "window", "reverse")["modes"]["full_tstar"] == 305
def test_public_jet_source_and_pilot_separation():
from tempfile import TemporaryDirectory
with TemporaryDirectory() as tmp:
path = Path(tmp)
manifest = pilot_fixture(path, jet_scenario="fixed")
assert manifest["source_capture"].startswith("current checkout")
assert len(manifest["checkout_revision"]) == 40
assert r.verify_pilot(path, manifest, "MRT", "window", "fixed") == 3606.0
for scenario in ("none", "zero", "reverse"):
with unittest.TestCase().assertRaisesRegex(ValueError, "Jet scenario"):
r.verify_pilot(path, manifest, "MRT", "window", scenario)
for relative in ("uniform/summary.json", "refined/ready.json"):
receipt = path / relative
record = json.loads(receipt.read_text())
receipt.write_text(json.dumps(dict(record, jet_scenario="zero")))
with unittest.TestCase().assertRaises(ValueError):
r.verify_pilot(path, manifest, "MRT", "window", "fixed")
receipt.write_text(json.dumps(record))
with unittest.TestCase().assertRaises(ValueError):
r.verify_source(r.DEFAULT_SOURCE, "MRT", "last_base_step", "fixed")
def test_cv_snapshot_common_units_and_window_endpoints():
records = []
for refined, shape, origin, diameter, impulse in (
(True, (240, 568), (38., 22.), 40, [4., -8.]),
(False, (330, 1761), (.25, .5), 80, [16., -32.]),
(False, (658, 3521), (.375, .75), 160, [64., -128.]),
):
rho, ux, uy, fluid = np.ones(shape), np.full(shape, .01), np.zeros(shape), np.ones(shape, bool)
begin, n = round(290*diameter/r.SPEED), round(.02*diameter/r.SPEED)
record = r.cv_snapshot(rho, ux, uy, fluid, origin, refined, begin, n, diameter, impulse)
records.append(record)
np.testing.assert_allclose(record["outward_flux"], 0, atol=1e-12)
assert r.cv_selected(begin, diameter, "full") and not r.cv_selected(begin-n, diameter, "full")
end = round(300*diameter/r.SPEED)
assert r.cv_selected(end, diameter, "full") and not r.cv_selected(end+n, diameter, "full")
assert r.cv_selected(n, diameter, "pilot")
assert sum(r.cv_selected(step, diameter, "full") for step in range(begin-n, end+n+1, n)) == 501
for key in ("time_root", "interval_start_root", "interval_dt_root", "interval_impulse_root", "inventory"):
for record in records[1:]:
np.testing.assert_allclose(records[0][key], record[key], rtol=0, atol=1e-10)
assert records[0]["interval_dt_root"] == 80 and np.isclose(records[0]["tstar"], 290.02)
np.testing.assert_array_equal(records[0]["interval_impulse_root"], [4, -8])
def test_cv_pilot_mode_and_helper_provenance():
from tempfile import TemporaryDirectory
manifest = r.verify_source(r.DEFAULT_SOURCE, "MRT", "window", "fixed", True)
assert "tests/validation/run_jet_circle_cv.py" in manifest["sha256"]
with TemporaryDirectory() as tmp:
path = Path(tmp)
old = pilot_fixture(path, jet_scenario="fixed")
with unittest.TestCase().assertRaisesRegex(ValueError, "CV observation mode"):
r.verify_pilot(path, old, "MRT", "window", "fixed", True)
for relative in ("plan.json", "uniform/summary.json", "refined/summary.json",
"uniform/ready.json", "refined/ready.json"):
file = path / relative
record = json.loads(file.read_text())
record.update(observe_cv=True, cv_samples=250)
if relative == "plan.json":
record["source_manifest"] = manifest
file.write_text(json.dumps(record))
assert r.verify_pilot(path, manifest, "MRT", "window", "fixed", True) == 3606
def test_compact_geometry_and_cv_stencils():
from CelerisLab.lbm.refinement import ACTIVE
from CelerisLab.lbm.descriptors import SOLID
_, pair, _, host = r.host_geometry(r.DEFAULT_SOURCE, h, "MRT", "fixed", "compact")
assert pair.fine_shape == (168, 168) and tuple(pair.fine_origin) == (46, 46)
fluid = (pair.fine_kind == ACTIVE) & ((host.flags.reshape(pair.fine_shape) & SOLID) == 0)
rho, ux, uy = np.ones(pair.fine_shape), np.full(pair.fine_shape, .01), np.zeros(pair.fine_shape)
record = r.cv_snapshot(rho, ux, uy, fluid, pair.fine_origin, True, 1160000, 80, 40, [1, 2], "compact")
np.testing.assert_allclose(record["outward_flux"], 0, atol=1e-12)
stencil = np.zeros(pair.fine_shape, bool)
for rect in r.cv_contours(True, 40, "compact"):
x0, y0, x1, y1 = np.rint((rect - np.tile(pair.fine_origin, 2))/.5).astype(int)
stencil[y0-2:y1+2, x0-2:x0+2] = stencil[y0-2:y1+2, x1-2:x1+2] = True
stencil[y0-2:y0+2, x0-2:x1+2] = stencil[y1-2:y1+2, x0-2:x1+2] = True
assert fluid[stencil].all() and not stencil.ravel()[host.transfer_fine_cells].any()
def test_d160_config_and_single_case_receipts():
from tempfile import TemporaryDirectory
from unittest.mock import patch
cfg, _, p = r.config(h, 160, "MRT", "fixed")
assert (p["nx"], p["ny"], p["center"], p["radius"]) == (3521, 658, [320, 320.5], 80)
assert p["viscosity"] == .016 and p["mean_speed"] == .01 and not cfg["method"]["ddf_shifting"]
assert r.uniform_origin(160) == (.375, .75)
np.testing.assert_array_equal(r.cv_contours(False, 160), r.CV_CONTOURS + [.125, 0, .125, 0])
for scenario, expected_exit in (("fixed", 0), ("zero", 2)):
with TemporaryDirectory() as tmp:
path = Path(tmp)
manifest = pilot_fixture(path, jet_scenario=scenario, case_selection="uniform", uniform_diameter=160)
assert r.verify_pilot(path, manifest, "MRT", "window", scenario, False, "uniform", 160) == 1803
for selection, diameter, placement in (("both", 160, "wide"), ("uniform", 80, "wide"), ("uniform", 160, "compact")):
with unittest.TestCase().assertRaises(ValueError):
r.verify_pilot(path, manifest, "MRT", "window", scenario, False, selection, diameter, placement)
# Synthetic dispatch/result check: no CUDA imports or execution.
output = path / "full"
argv = ["runner", "--collision", "MRT", "--exchange-window", "--jet-scenario", scenario,
"--case", "uniform", "--uniform-diameter", "160", "--mode", "full",
"--pilot-results", str(path), "--output", str(output), "--max-wall-seconds", "10", "--gpu-gates-approved"]
result = dict(case="uniform", healthy=True, periodic=scenario == "zero", jet_diagnostic_windows=[],
status="driven_diagnostics_complete" if scenario == "fixed" else "periodic",
reference_comparison=dict(reference_agreement=False))
with patch.object(sys, "argv", argv), patch.dict(r.os.environ, CUDA_VISIBLE_DEVICES="mock-no-gpu"), \
patch.object(r, "run_case", return_value=result) as run:
assert r.main() == expected_exit and run.call_count == 1
comparison = json.loads((output / "comparison.json").read_text())
assert comparison["matched_case_pass"] is False and "refined_vs_uniform" not in comparison
assert comparison["status"].startswith("single_case_")
if __name__ == "__main__":
suite = unittest.TestSuite(
unittest.FunctionTestCase(fn)
+5 -14
View File
@@ -22,16 +22,13 @@ class RefinementMRTHost(unittest.TestCase):
def test_srt_statements_and_guards_preserved(self):
"""MRT is an additive compile-time branch; SRT statements and other guards remain."""
blocks = (KERNELS / "blocked.cu").read_text() + (KERNELS / "step/block_step.cu").read_text()
blocks = (KERNELS / "blocks.cu").read_text()
channel = (KERNELS / "step/block_channel.cu").read_text()
block_collision = (KERNELS / "operators/block_collision.cuh").read_text()
self.assertIn('#include "operators/block_collision.cuh"', blocks)
self.assertEqual(blocks.count("block_collide(f);"), 1)
refinement = (KERNELS / "refinement.cu").read_text() + (KERNELS / "step/patch_step.cu").read_text()
refinement = (KERNELS / "refinement.cu").read_text()
for text in ("compute_feq_from_momentum(drho, jx, jy, ux, uy, feq);",
"compute_feq(rho, ux, uy, feq);",
"collide_srt_no_force(f, feq, d_params.omega);"):
self.assertIn(text, block_collision)
self.assertIn(text, blocks)
self.assertIn("collide_srt(f, feq, forcing, omega);", channel)
self.assertIn("collide_srt_no_force(f, feq, d_params.omega);", refinement)
for source in (blocks, refinement):
@@ -40,14 +37,8 @@ class RefinementMRTHost(unittest.TestCase):
self.assertIn("STORE_PRECISION != 0", source)
self.assertIn('#if COLLISION_MODEL == 2\n#include "operators/collision_mrt.cuh"\n#endif', source)
self.assertIn("USE_DDF_SHIFTING ||", refinement) # dense/mixed shifted stays rejected
# One shared unforced MRT body; each blocked/patch path calls it exactly once.
mrt = (KERNELS / "operators/collision_mrt.cuh").read_text()
self.assertEqual(mrt.count("void collide_mrt_unforced("), 1)
for source in (blocks + "\n" + block_collision, channel, refinement):
self.assertEqual(source.count("collide_mrt_unforced(f);"), 1)
self.assertNotIn("collide_mrt_no_force(", source)
self.assertNotIn("compute_rho_u(f, rho, ux, uy);\n collide_mrt", source)
self.assertNotRegex(source, r"compute_rho_u\(f, rho, ux, uy\);\s*collide_mrt")
for source in (blocks, channel, refinement):
self.assertEqual(source.count("collide_mrt_no_force("), 1)
if __name__ == "__main__": unittest.main()
@@ -173,10 +173,8 @@ def bodies_and_jets(speed=.002):
return bodies,jets
def levels(parents=PARENTS,children=CHILDREN,blocks=((4,4),)*3,objects=((),(),()),jets=((),(),())):
"""Level-list constructor keywords for the L0 set, L1 set and L2 set used here."""
return dict(refinements=[parents,children],level_blocks=list(blocks),
level_objects=list(objects),level_jets=list(jets))
KW=dict(base_block=(4,4),fine_block=(4,4),child_block=(4,4),
child_rectangles_in_parent=CHILDREN)
def mock_backend(*, children=CHILDREN, bodies=False, fail_compile=False, fail_upload=False):
@@ -193,9 +191,9 @@ def mock_backend(*, children=CHILDREN, bodies=False, fail_compile=False, fail_up
gpu.get_function.side_effect=lambda name: Mock(name=name)
gpu.get_global.side_effect=lambda name: (Mock(),20 if name=='d_params' else 16)
return gpu
module.compiler.build_module.side_effect=lambda *a,**k: load(None)
module.compiler.load_module.side_effect=load
if fail_compile:
module.compiler.build_module.side_effect=[load(None),load(None),RuntimeError('L2 compile failed')]
module.compiler.compile_kernel.side_effect=['first','second',RuntimeError('L2 compile failed')]
if fail_upload:
def upload(*args):
if len(allocations)>20:
@@ -203,8 +201,9 @@ def mock_backend(*, children=CHILDREN, bodies=False, fail_compile=False, fail_up
module.cuda.memcpy_htod.side_effect=upload
objects,jets=bodies_and_jets() if bodies else ((),())
try:
run=module.FixedPatchStepper(CFG,context=context,
**levels(children=children,objects=((),(),objects),jets=((),(),jets)))
run=module.FixedPatchStepper(CFG,PARENTS,context=context,
child_objects=objects,child_jets=jets,
**dict(KW,child_rectangles_in_parent=children))
except RuntimeError:
for allocation in allocations:
allocation.free.assert_called_once_with()
@@ -215,29 +214,28 @@ def mock_backend(*, children=CHILDREN, bodies=False, fail_compile=False, fail_up
class ConstructorAndSchedule(unittest.TestCase):
def test_invalid_inputs_fail_before_context_or_allocations(self):
context=Mock()
b=(4,4)
cases=[dict(children=(8,8,16,16)),dict(children=[]),
dict(children=[(16,16,32)]),
dict(children=[(16.5,16,32,40)]),
dict(children=[(16,16,32,24),(16,27,32,55)]),
dict(children=[(40,16,48,40)]),
dict(children=[(8,16,32,40)]),
dict(blocks=(b,b,None)),dict(blocks=(b,None,b)),dict(blocks=(None,b,b)),
dict(blocks=(b,b,(5,4))),dict(blocks=(b,(5,4),b)),
dict(blocks=(b,b,(4,))),dict(children=(16,16,32,40))]
cases=[dict(child=(8,8,16,16)),dict(child_rectangles_in_parent=[]),
dict(child_rectangles_in_parent=[(16,16,32)]),
dict(child_rectangles_in_parent=[(16.5,16,32,40)]),
dict(child_rectangles_in_parent=[(16,16,32,24),(16,27,32,55)]),
dict(child_rectangles_in_parent=[(40,16,48,40)]),
dict(child_rectangles_in_parent=[(8,16,32,40)]),
dict(child_block=None),dict(fine_block=None),dict(base_block=None),
dict(child_block=(5,4)),dict(fine_block=(5,4)),
dict(child_block=(4,)),dict(child_rectangles_in_parent=(16,16,32,40))]
for changes in cases:
with self.subTest(changes=changes),self.assertRaises((ValueError,TypeError)):
host.FixedPatchStepper(CFG,context=context,**levels(**changes))
host.FixedPatchStepper(CFG,PARENTS,context=context,**dict(KW,**changes))
with self.assertRaisesRegex(ValueError,'margin'):
host.FixedPatchStepper(CFG,context=context,**levels(parents=[(1,4,20,28),(23,4,44,28)]))
host.FixedPatchStepper(CFG,[(1,4,20,28),(23,4,44,28)],context=context,**KW)
objects,jets=bodies_and_jets()
with self.assertRaisesRegex(ValueError,'only on the finest level'):
host.FixedPatchStepper(CFG,context=context,**levels(objects=((),objects,())))
with self.assertRaisesRegex(ValueError,'only on L2'):
host.FixedPatchStepper(CFG,PARENTS,context=context,fine_objects=objects,**KW)
from CelerisLab.body.jets import Jet,Tube,Parallel
spanning=Jet(Tube((10.5,14.),0.,25.,.3),Parallel(0.),amplitude=0.)
with self.assertRaisesRegex(ValueError,'one jet'):
host.FixedPatchStepper(CFG,context=context,
**levels(objects=((),(),objects),jets=((),(),[spanning])))
host.FixedPatchStepper(CFG,PARENTS,context=context,child_objects=objects,
child_jets=[spanning],**KW)
context.activate.assert_not_called()
host.cuda.mem_alloc.assert_not_called()
@@ -315,23 +313,21 @@ class ConstructorAndSchedule(unittest.TestCase):
class RemovedLegacyAPI(unittest.TestCase):
"""The pre-level-list constructor/initialize forms are gone and fail loudly."""
class InitialLevels(unittest.TestCase):
"""initialize() entry adapter: positional per-level arrays or the legacy names, never both."""
def test_removed_constructor_forms_raise_type_error(self):
import inspect
context = Mock()
with self.assertRaises(TypeError): # positional bounds
host.FixedPatchStepper(CFG, PARENTS, context=context)
removed = dict(bounds=PARENTS, fine_block=(4, 4), base_block=(4, 4), fine_objects=(),
jets=(), child=(8, 8, 16, 16), child_block=(4, 4), child_objects=(),
child_jets=(), child_rectangles_in_parent=CHILDREN)
for name, value in removed.items():
with self.subTest(keyword=name), self.assertRaises(TypeError):
host.FixedPatchStepper(CFG, context=context, **levels(), **{name: value})
context.activate.assert_not_called()
self.assertEqual(list(inspect.signature(host.FixedPatchStepper.initialize).parameters),
["self", "level_g"]) # no coarse_g/fine_g/child_g
def test_forms(self):
a, b, c = object(), object(), object()
f = host._initial_levels
self.assertEqual(f((a, b), None, None, None), (a, b))
self.assertEqual(f((a, b, c), None, None, None), (a, b, c))
self.assertEqual(f((a, b), None, None, c), (a, b, c)) # old initialize(c, f, child_g=g)
self.assertEqual(f((), a, b, None), (a, b))
self.assertEqual(f((), a, b, c), (a, b, c))
for args in (((a,), None, None, c), ((a, b, c), None, None, c), ((a,), a, b, None),
((), a, None, None), ((), None, b, c)):
with self.subTest(args=args), self.assertRaises(TypeError):
f(*args)
if __name__=='__main__':
+1 -1
View File
@@ -86,7 +86,7 @@ class RuntimeChildRemap(unittest.TestCase):
before = run.download()
old_allocations = list(allocations)
if failure == 'construction':
operation = patch.object(module.compiler, 'build_module', side_effect=RuntimeError('candidate compile'))
operation = patch.object(module.compiler, 'compile_kernel', side_effect=RuntimeError('candidate compile'))
else:
initialize = type(run).initialize
def fail(candidate, *arrays):
+7 -6
View File
@@ -54,15 +54,16 @@ class ShiftedJets(unittest.TestCase):
(Jet(Tube((10.,14.),0.,26.,.3),Parallel(0.)),))]
for objects,jets in cases:
with self.subTest(objects=len(objects),jets=len(jets)),self.assertRaises(ValueError):
module.FixedPatchStepper(CFG,context=None,refinements=[backend.PARENTS,A],
level_blocks=[(4,4)]*3,level_objects=[(),(),objects],level_jets=[(),(),jets])
module.FixedPatchStepper(CFG,backend.PARENTS,context=None,
base_block=(4,4),fine_block=(4,4),child_block=(4,4),
child_rectangles_in_parent=A,child_objects=objects,child_jets=jets)
for blocks in ((None,None,None),((4,4),None,(4,4))):
with self.assertRaises(ValueError):
module.FixedPatchStepper(CFG,context=None,refinements=[backend.PARENTS,A],
level_blocks=list(blocks),level_objects=[(),(),(body(),)],
level_jets=[(),(),(jet(),)])
module.FixedPatchStepper(CFG,backend.PARENTS,context=None,
base_block=blocks[0],fine_block=blocks[1],child_block=blocks[2],
child_rectangles_in_parent=A,child_objects=(body(),),child_jets=(jet(),))
module.cuda.mem_alloc.assert_not_called()
module.compiler.build_module.assert_not_called()
module.compiler.compile_kernel.assert_not_called()
def test_switch_upload_only_then_raw_remap_keeps_live_velocity(self):
run,module,allocations,storage,objects=ready();clone=None
+7 -10
View File
@@ -78,15 +78,13 @@ class ShiftedStorage(unittest.TestCase):
def test_shifted_density_and_tag_validation(self):
old,new = topology(A),topology(B)
a = tuple(np.where(m[None], np.float32(-.001), np.float32(np.nan)).repeat(9,axis=0)
for m in old.leaf_masks) # FP32 under NumPy 1 and 2 promotion rules
a = tuple(np.where(m[None], np.float32(-.001), np.nan).repeat(9,axis=0) for m in old.leaf_masks)
remap(old,new,a)
with self.assertRaisesRegex(ValueError,'representation'): remap(old,new,a,False)
with self.assertRaisesRegex(ValueError,'FP32'): remap(old,new,tuple(x.astype(np.float64) for x in a))
a[0][:,old.leaf_masks[0]] = -1
with self.assertRaisesRegex(ValueError,'positive density'): remap(old,new,a)
rest = tuple(np.where(m[None],np.float32(0),np.float32(np.nan)).repeat(9,axis=0)
for m in old.leaf_masks)
rest = tuple(np.where(m[None],np.float32(0),np.nan).repeat(9,axis=0) for m in old.leaf_masks)
remap(old,new,rest)
with self.assertRaisesRegex(ValueError,'positive density'):
remap_synchronized(old,new,rest,base_count=7,level_steps=(7,14,28),phase='postcollision_g')
@@ -131,11 +129,10 @@ class ShiftedStorage(unittest.TestCase):
def test_dense_or_mixed_shifted_rejected_before_compilation(self):
module=backend.host_module()
cfg=replace(backend.CFG,ddf_shifting=True)
for blocks in ([None,None],[(4,4),None],[None,(4,4)]):
with self.assertRaisesRegex(ValueError,'all-blocked|blocked refined levels below'):
module.FixedPatchStepper(cfg,context=None,refinements=[(4,4,20,28)],
level_blocks=blocks)
module.compiler.build_module.assert_not_called()
for kwargs in ({},dict(base_block=(4,4)),dict(fine_block=(4,4))):
with self.assertRaisesRegex(ValueError,'all-blocked|base_block requires fine_block'):
module.FixedPatchStepper(cfg,(4,4,20,28),context=None,**kwargs)
module.compiler.compile_kernel.assert_not_called()
def test_uniform_block_codec_and_raw_snapshot(self):
path = Path(backend.r.__file__).with_name('block_stepper.py')
@@ -151,7 +148,7 @@ class ShiftedStorage(unittest.TestCase):
cuda.mem_get_info.return_value=(10**9,10**9)
cuda.mem_alloc.side_effect=lambda size: Mock()
gpu=Mock();gpu.get_global.return_value=(Mock(),20)
compiler.build_module.return_value=gpu
compiler.load_module.return_value=gpu
context=Mock(activate=nullcontext,sm_arch='sm_70')
layout=module.BlockLayout2D.build(16,16,4,4)
cfg=replace(backend.CFG,nx=16,ny=16,ddf_shifting=True)
+9 -2
View File
@@ -36,10 +36,12 @@ def make_simulation(monkeypatch):
sim = module.Simulation.__new__(module.Simulation)
sim.ctx = Owner()
sim._closed = False
sim._build_dir = "private-build"
for name in ("stepper", "bodies", "field", "_module", "_stream"):
setattr(sim, name, object())
monkeypatch.setattr(module, "cuda", SimpleNamespace(
Context=SimpleNamespace(synchronize=lambda: None)))
monkeypatch.setattr(module.compiler, "cleanup_build_dir", lambda path: None)
return sim
@@ -55,7 +57,7 @@ def test_close_inside_activation_preserves_resources(monkeypatch):
assert sim._closed and sim.ctx.is_closed
@pytest.mark.parametrize("failure", ["synchronize", "detach"])
@pytest.mark.parametrize("failure", ["synchronize", "detach", "directory"])
def test_close_failure_is_retryable(monkeypatch, failure):
sim = make_simulation(monkeypatch)
if failure == "detach":
@@ -66,12 +68,17 @@ def test_close_failure_is_retryable(monkeypatch, failure):
calls.append(args)
if len(calls) == 1:
raise RuntimeError(failure + " failed")
monkeypatch.setattr(module.cuda.Context, "synchronize", fail_once)
if failure == "synchronize":
monkeypatch.setattr(module.cuda.Context, "synchronize", fail_once)
else:
monkeypatch.setattr(module.compiler, "cleanup_build_dir", fail_once)
with pytest.raises(RuntimeError, match="failed"):
sim.close()
assert not sim._closed
assert sim._build_dir == "private-build"
sim.close()
assert sim._closed and sim.ctx.is_closed
assert sim._build_dir is None
sim.close()
-75
View File
@@ -238,81 +238,6 @@ def test_overlapping_force_regions_rejected(device):
bodies.build_compact_lists(bodies.build_flags(field.flag))
@pytest.mark.parametrize("second_x,error", [(14., "unique cut-link writers"),
(17., "active fluid receivers")])
def test_passive_overlap_rejected_before_publishing_lists(second_x, error):
cfg = LBMConfig(nx=32, ny=24)
cfg.validate()
bodies = ObjectManager(cfg.nx, cfg.ny, cfg.nz, cfg.nq, cfg)
for x in (14., second_x):
bodies.add(obj(x=x, y=12., r=4.3))
bodies.add(obj(x=4., y=4., r=2., is_sensor=True))
counts = np.full(bodies.count, 91, np.int32)
hits = []
flags = bodies.build_flags(np.full(cfg.nx * cfg.ny, FLUID, np.uint16))
for domain_flags in (flags, None):
with pytest.raises(ValueError, match=error):
bodies.build_compact_lists_for(bodies.objects, domain_flags,
sensor_cell_counts_out=counts, hits_out=hits)
np.testing.assert_array_equal(counts, 91)
assert hits == []
@pytest.mark.parametrize("centers", [((10., 12.), (22., 12.)),
((10.5, 12.), (19.5, 12.))])
def test_separated_passive_bodies_keep_valid_writers(centers):
# The second case has a subcell physical gap with a resolved fluid column.
cfg = LBMConfig(nx=32, ny=24)
cfg.validate()
bodies = ObjectManager(cfg.nx, cfg.ny, cfg.nz, cfg.nq, cfg)
for x, y in centers:
bodies.add(obj(x=x, y=y, r=4.3))
flags = bodies.build_flags(np.full(cfg.nx * cfg.ny, FLUID, np.uint16))
indices, directions, _, ids, *_ = bodies.build_compact_lists(flags)
assert set(ids) == {0, 1}
assert np.all(flags[indices] & FLUID) and not np.any(flags[indices] & SOLID)
assert len(np.unique(indices.astype(np.uint64) * cfg.nq + directions)) == len(indices)
@pytest.mark.parametrize("entry", ["sync", "initialize", "runtime_edit"])
@pytest.mark.parametrize("second_x", [5., 6.])
def test_passive_overlap_failure_keeps_live_state(device, entry, second_x):
from CelerisLab.simulation import Simulation
field = make_field(device)
bodies = manager(field, [obj(), obj(x=9., y=3., r=1., is_sensor=True)])
bodies.sync_to_gpu(field)
overlapping = obj(x=second_x)
if entry == "runtime_edit":
bodies.stage_add(overlapping)
else:
bodies.add(overlapping)
objects = bodies.objects
flags, curved, counts = field.flag.copy(), field.curved.fluid_idx.copy(), bodies.sensor_cell_counts.copy()
action = bodies.action.copy()
buffers = [(block, bytes(block.data), block.freed) for block in device.blocks]
writes = device.writes
sim = SimpleNamespace(bodies=bodies, field=field, lbm_cfg=field.cfg,
_initialized=entry == "runtime_edit",
_assert_allocation_contract=lambda: None,
stream=SimpleNamespace(synchronize=device.synchronize))
with pytest.raises(ValueError, match="active fluid receivers|unique cut-link writers"):
if entry == "sync":
bodies.sync_to_gpu(field)
elif entry == "initialize":
Simulation.initialize(sim)
else:
Simulation.sync_bodies(sim)
assert bodies.objects == objects
assert bodies.has_pending_edit() == (entry == "runtime_edit")
assert sim._initialized == (entry == "runtime_edit")
assert device.writes == writes and len(device.blocks) == len(buffers)
assert all(bytes(block.data) == data and block.freed == freed for block, data, freed in buffers)
np.testing.assert_array_equal(field.flag, flags)
np.testing.assert_array_equal(field.curved.fluid_idx, curved)
np.testing.assert_array_equal(bodies.sensor_cell_counts, counts)
np.testing.assert_array_equal(bodies.action, action)
def test_action_upload_and_scratch_are_pinned(device):
field = make_field(device, streaming="esopull")
bodies = manager(field, [obj(is_force_region=True)])
-170
View File
@@ -1,170 +0,0 @@
"""Host contract of FixedPatchStepper.step(n): one stream wait per call (mocked driver).
All n base intervals are enqueued in order on the backend stream and the host
waits once before step returns. Launch order and buffer arguments must equal n
step(1) calls; completion metadata, raw-exchange and window ledgers, and failure
invalidation are published only after that wait.
"""
from contextlib import nullcontext
from unittest.mock import Mock
import unittest
import numpy as np
from CelerisLab.config import LBMConfig
from tests.unit.test_raw_exchange import body
from tests.unit.test_refinement_three_level_multipatch import host_module
BODY_LEVEL, HOPS = 3, 8 # body on L3: 2**3 hops per base interval
def backend(window=False):
"""Four-level host backend; every launch, memset and stream wait goes to one log."""
host = host_module()
log, allocations = [], []
def allocate(size):
allocations.append(Mock(size=size))
return allocations[-1]
module = Mock()
module.get_global.return_value = (Mock(), 20)
module.get_function.side_effect = lambda name: Mock(
side_effect=lambda *a, **k: log.append((name, a, k)))
host.compiler.build_module.return_value = module
host.cuda.mem_alloc.side_effect = allocate
host.cuda.memcpy_dtoh.side_effect = lambda array, pointer: array.fill(0)
host.cuda.memset_d8_async.side_effect = lambda *a: log.append(("memset", a, {}))
run = host.FixedPatchStepper(
LBMConfig(nx=48, ny=48, viscosity=.02), context=Mock(activate=nullcontext, sm_arch="sm_70"),
refinements=[[(6, 6, 26, 26)], [(20, 20, 44, 44)], [(56, 56, 72, 72)]],
level_blocks=[(4, 4)] * 4, level_objects=[(), (), (), (body(),)],
observe_raw_exchange=True, observe_window_exchange=window)
run._stream.synchronize.side_effect = lambda: log.append(("sync", (), {}))
run.initialize(*[np.full(level.shape, 1 / 9, np.float32) for level in run._levels])
log.clear()
return run, log, allocations
def signature(log, allocations):
"""Event names with device-pointer arguments replaced by allocation index."""
index = {id(a): i for i, a in enumerate(allocations)}
return [(name, tuple(index.get(id(a), "-") for a in args)) for name, args, _ in log]
def names(log):
return [name for name, _, _ in log]
class StepSync(unittest.TestCase):
def test_step1_waits_once_after_all_launches(self):
run, log, _ = backend()
run.step(1)
self.assertEqual(names(log).count("sync"), 1)
self.assertEqual(names(log)[-1], "sync")
self.assertEqual(names(log)[0], "memset")
self.assertEqual(names(log).count("BlockStep"), 1 + 2 + 4 + 8)
self.assertEqual(run.step_count, 1)
run.close()
def test_step_n_equals_n_step1_launches_with_one_wait(self):
single, single_log, single_alloc = backend()
for _ in range(3):
single.step(1)
batched, batched_log, batched_alloc = backend()
batched.step(3)
expected = [e for e in signature(single_log, single_alloc) if e[0] != "sync"]
got = signature(batched_log, batched_alloc)
self.assertEqual(got[-1][0], "sync")
self.assertEqual(names(batched_log).count("sync"), 1)
self.assertEqual(got[:-1], expected) # same order, same ping-pong buffers
self.assertEqual(names(batched_log).count("memset"), 3)
self.assertEqual(batched.step_count, single.step_count)
index = [{id(a): i for i, a in enumerate(alloc)} for alloc in (single_alloc, batched_alloc)]
self.assertEqual(index[1][id(batched._levels[0].current)],
index[0][id(single._levels[0].current)])
single.close()
batched.close()
def test_step0_launches_and_waits_for_nothing(self):
run, log, _ = backend()
run.step(2)
log.clear()
run.step(0)
self.assertEqual(log, [])
self.assertEqual(run.step_count, 2)
value = run.read_raw_exchange(0, level=BODY_LEVEL) # step(0) keeps the ledger valid
self.assertEqual((value["time_start"], value["time_end"]), (1, 2))
run.close()
def test_completion_metadata_covers_all_intervals(self):
run, _, _ = backend()
with self.assertRaisesRegex(RuntimeError, "completed"):
run.read_raw_exchange(0, level=BODY_LEVEL)
run.step(3)
value = run.read_raw_exchange(0, level=BODY_LEVEL)
self.assertEqual((value["time_start"], value["time_end"], value["sample_count"]),
(2, 3, HOPS)) # step(n) retains only the final base interval
run.step(2)
self.assertEqual(run.read_raw_exchange(0, level=BODY_LEVEL)["time_end"], 5)
run.close()
def test_window_accounting_across_batched_calls(self):
windows = []
for calls in ((1, 3), (4,), (1, 1, 1, 1)):
run, log, _ = backend(window=True)
run.step(1)
run.start_exchange_window()
log.clear()
for n in calls:
run.step(n)
self.assertEqual(names(log).count("BlockAccumulateExchange"), 2 * 4 * HOPS)
self.assertEqual(names(log).count("sync"), len(calls))
out = run.read_exchange_window(0, level=BODY_LEVEL)
windows.append((out["time_start"], out["time_end"], out["sample_count"]))
run.close()
self.assertEqual(windows, [(1., 5, 4 * HOPS)] * 3)
def test_failed_wait_publishes_nothing(self):
run, _, _ = backend(window=True)
run.step(2)
run.start_exchange_window()
run._stream.synchronize.side_effect = RuntimeError("device failure")
with self.assertRaisesRegex(RuntimeError, "device failure"):
run.step(3)
self.assertEqual(run.step_count, 2) # value at entry to the failing call
self.assertFalse(run._exchange_valid)
self.assertFalse(run._window_valid)
for read in (lambda: run.read_raw_exchange(0, level=BODY_LEVEL),
lambda: run.read_exchange_window(0, level=BODY_LEVEL), run.download,
lambda: run.step(1)):
with self.assertRaisesRegex(RuntimeError, "failed"):
read()
run._stream.synchronize.side_effect = None
run.close()
def test_launch_error_mid_batch_skips_wait_and_fails(self):
run, log, _ = backend()
run.step(1)
log.clear()
hop, calls = run._hop, []
def failing(index, *args, **kw):
if index == 0:
calls.append(1)
if len(calls) == 2:
raise RuntimeError("launch failure")
return hop(index, *args, **kw)
run._hop = failing
with self.assertRaisesRegex(RuntimeError, "launch failure"):
run.step(3)
self.assertNotIn("sync", names(log))
self.assertEqual(run.step_count, 1)
self.assertFalse(run._exchange_valid)
with self.assertRaisesRegex(RuntimeError, "failed"):
run.read_raw_exchange(0, level=BODY_LEVEL)
run.close()
if __name__ == "__main__":
unittest.main()
@@ -12,15 +12,13 @@ from source_provenance import checkout_provenance
import re100_helpers
import run_jet_circle_cv
sys.path.insert(0, str(ROOT / "tests/unit"))
from historical_tree import historical_tree, tracked
ORIGIN = "47b05bc8abfc957fe876b0c63bdb386e3c6cbaa5"
def test_manifests_cover_current_source_and_preserve_origin(tmp_path):
assert re100_helpers.PIN == run_jet_circle_cv.PIN == ORIGIN
manifests = {}
def test_manifests_cover_current_source_and_preserve_origin():
names = subprocess.check_output(
["git", "-C", str(ROOT), "ls-files", "src"], text=True
).splitlines()
for group, hashes_key, revision_key in (
("dfg_re100", "production_sha256", "commit"),
("jet_circle_cv", "files", "revision"),
@@ -31,22 +29,18 @@ def test_manifests_cover_current_source_and_preserve_origin(tmp_path):
).read_text()
)
assert manifest[revision_key] == ORIGIN
assert set(manifest[hashes_key]) == set(names)
assert manifest["source_origin_commits"][-1] == ORIGIN
assert (
manifest["historical_checkpoints"]["production"]
== "d79e3f6f0a424f5bcc3a1a6d610313e49daf97a2"
)
assert "not inherited from d79" in manifest["experiment"]
manifests[group] = manifest[hashes_key]
# History-dependent checks last, so a missing commit masks nothing above.
names = tracked(ORIGIN)
origin = historical_tree(ORIGIN, tmp_path)
for group, hashes in manifests.items():
assert set(hashes) == set(names), group
for name, expected in hashes.items():
for name, expected in manifest[hashes_key].items():
assert (
hashlib.sha256((origin / name).read_bytes()).hexdigest() == expected
hashlib.sha256((ROOT / name).read_bytes()).hexdigest() == expected
), name
assert re100_helpers.PIN == run_jet_circle_cv.PIN == ORIGIN
def test_runtime_checkout_identity_is_separate_from_source_origin(tmp_path):
@@ -30,7 +30,7 @@ original_module = gate.compile_module
cache = {}
def retain_compile(*args, **kwargs):
result = original_compile(*args, **kwargs)
source = kwargs.get('source', 'uniform.cu')
source = kwargs.get('source', 'kernel_v2.cu')
shutil.copyfile(result, a.output / (Path(source).stem + '.ptx'))
metadata = Path(result + '.json')
if metadata.exists(): shutil.copyfile(metadata, a.output / (Path(source).stem + '.ptx.json'))
@@ -171,7 +171,7 @@ class CpuContracts(unittest.TestCase):
patch.object(cuda, "mem_alloc") as alloc, patch.object(cuda, "memcpy_htod") as upload:
with self.assertRaisesRegex(RuntimeError, "layout mismatch"):
PeriodicBlockStepper(config(), layout, context=context)
self.assertEqual(compile_kernel.call_args.kwargs["source"], "blocked.cu")
self.assertEqual(compile_kernel.call_args.kwargs["source"], "blocks.cu")
alloc.assert_not_called()
upload.assert_not_called()
@@ -192,7 +192,6 @@ class CpuContracts(unittest.TestCase):
backend._lock = RLock()
backend._status = "ready"
backend._step_count = 0
backend._ddf_shifting = False # unshifted storage, as for the default config
backend._stream = Mock()
backend._module = Mock()
backend._copy = backend._step = Mock()
@@ -27,7 +27,7 @@ def state(ny, nx):
def compile_module(cfg, context, source):
cfg.validate()
build = compiler.generate_config(cfg, block_root_bc=2 if source == "blocked.cu" else 0)
build = compiler.generate_config(cfg)
try:
module = compiler.load_module(compiler.compile_kernel(context.sm_arch, source=source, build_dir=build))
finally:
@@ -46,7 +46,7 @@ def run_root(cfg, context, initial, block=None, steps=8):
try:
layout = None if block is None else BlockLayout2D.build(cfg.ny, cfg.nx, *block)
local = cfg if layout is None else replace(cfg, nx=layout.local_shape[1], ny=layout.local_shape[0])
module = compile_module(local, context, "uniform.cu" if layout is None else "blocked.cu")
module = compile_module(local, context, "kernel_v2.cu" if layout is None else "blocks.cu")
data = initial if layout is None else layout.to_blocked(initial)
current, spare = upload(data), upload(np.full_like(data, np.nan))
tpb = cfg.threads_per_block
@@ -106,10 +106,9 @@ class ChannelRootGPU(unittest.TestCase):
cfg = LBMConfig(nx=48, ny=32, viscosity=.1, velocity=.015, ddf_shifting=shifted)
reference = None
for block in ((32,48), (8,8), (4,1)):
with FixedPatchStepper(cfg, context=context, coarse_boundary="channel",
refinements=[(8,6,40,26)], level_blocks=[block, (8,8)],
level_objects=[(), (body,) if bodies else ()],
level_jets=[(), (jet,) if bodies else ()]) as backend:
with FixedPatchStepper(cfg, (8,6,40,26), context=context,
coarse_boundary="channel", base_block=block, fine_block=(8,8),
fine_objects=(body,) if bodies else (), jets=(jet,) if bodies else ()) as backend:
arrays = [state(*level.shape[1:]) for level in backend._levels]
backend.initialize(*arrays)
backend.step(4)
@@ -25,8 +25,8 @@ EPS = np.finfo(np.float64).eps
def build(m, window=True, raw=True):
return FixedPatchStepper(config("periodic"), context=m["context"], refinements=[BOUNDS],
level_blocks=[(3, 4), (16, 20)], level_objects=[(), (circle(),)],
return FixedPatchStepper(config("periodic"), BOUNDS, context=m["context"], base_block=(3, 4),
fine_block=(16, 20), fine_objects=[circle()],
observe_raw_exchange=raw, observe_window_exchange=window)
@@ -109,11 +109,10 @@ class ExchangeWindowGPU(unittest.TestCase):
from test_raw_exchange_gpu import BOUNDS as RB, CFG, circle as rc, jet, state
from CelerisLab.cuda.context import CudaContext
with CudaContext(0) as ctx:
kw = dict(context=ctx, refinements=[RB], level_blocks=[None, (16, 20)],
level_objects=[(), (rc(),)], level_jets=[(), (jet(),)],
kw = dict(context=ctx, fine_block=(16, 20), fine_objects=[rc()], jets=[jet()],
observe_raw_exchange=True)
with FixedPatchStepper(CFG, observe_window_exchange=True, **kw) as windowed, \
FixedPatchStepper(CFG, **kw) as plain:
with FixedPatchStepper(CFG, RB, observe_window_exchange=True, **kw) as windowed, \
FixedPatchStepper(CFG, RB, **kw) as plain:
arrays = [state(level.shape) for level in windowed._levels]
windowed.initialize(*arrays)
plain.initialize(*arrays)
@@ -201,11 +200,11 @@ class ExchangeWindowShiftedMRTGPU(unittest.TestCase):
from CelerisLab.cuda.context import CudaContext
cfg = LBMConfig(nx=32, ny=24, viscosity=.1, collision="MRT", ddf_shifting=True)
with CudaContext(0) as ctx:
kw = dict(context=ctx, refinements=[RB], level_blocks=[(12, 8), (16, 20)],
level_objects=[(), (rc(),)], observe_raw_exchange=True)
with FixedPatchStepper(cfg, observe_window_exchange=True, **kw) as windowed, \
FixedPatchStepper(cfg, observe_window_exchange=True, **kw) as split, \
FixedPatchStepper(cfg, **kw) as plain:
kw = dict(context=ctx, base_block=(12, 8), fine_block=(16, 20), fine_objects=[rc()],
observe_raw_exchange=True)
with FixedPatchStepper(cfg, RB, observe_window_exchange=True, **kw) as windowed, \
FixedPatchStepper(cfg, RB, observe_window_exchange=True, **kw) as split, \
FixedPatchStepper(cfg, RB, **kw) as plain:
arrays = [state(level.shape) for level in windowed._levels]
for run in (windowed, split, plain):
run.initialize(*arrays)
@@ -140,8 +140,7 @@ def run_patch(speed, *, audit=True):
build = (patch.object(compiler, "compile_kernel", audit_compiler(compiler.compile_kernel))
if audit else nullcontext())
with build:
backend = implementation.FixedPatchStepper(cfg, context=context, refinements=[BOUNDS],
level_objects=[(), (source,)])
backend = implementation.FixedPatchStepper(cfg, BOUNDS, context=context, fine_objects=[source])
with backend, context.activate():
c, f = backend._levels
cl = backend._fine_curved
@@ -282,8 +281,7 @@ def test_fine_surface_four_hops(speed):
@pytest.mark.parametrize("missing", ["surface_velocity_gpu", "link_exchange_gpu"])
def test_missing_surface_device_buffer_rejects_before_launch(missing):
backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
backend._boundary_hosts = [None, SimpleNamespace(objects=[object_spec(.002)])]
backend._level_jets = [(), ()]
backend.fine_boundary = SimpleNamespace(objects=[object_spec(.002)])
backend._fine_curved = SimpleNamespace(fluid_idx_gpu=object(),
surface_velocity_gpu=object(), link_exchange_gpu=object())
setattr(backend._fine_curved, missing, None)
@@ -327,7 +325,6 @@ def test_cross_interface_donor_rejects_before_cuda():
context.activate.side_effect = AssertionError("must reject before CUDA activation")
with patch.object(cuda, "mem_alloc") as allocate:
with pytest.raises(ValueError, match="donor crosses"):
implementation.FixedPatchStepper(cfg, context=context, refinements=[BOUNDS],
level_objects=[(), (source,)])
implementation.FixedPatchStepper(cfg, BOUNDS, context=context, fine_objects=[source])
context.activate.assert_not_called()
allocate.assert_not_called()
@@ -48,8 +48,9 @@ def make(context):
for (x, y), amplitude in zip(centers, (.003, -.002))
)
run = FixedPatchStepper(
CFG, context=context, refinements=[PARENTS, START], level_blocks=[(4, 4)] * 3,
level_objects=[(), (), objects], level_jets=[(), (), jets],
CFG, PARENTS, context=context, base_block=(4, 4), fine_block=(4, 4),
child_block=(4, 4), child_rectangles_in_parent=START,
child_objects=objects, child_jets=jets,
)
return run, objects
@@ -25,8 +25,9 @@ B = ((16,16,32,40), (60,16,76,40))
def make(ctx):
body = SimObject(71, geometry=CircleGeometry(12.,14.,.8),center=(12.,14.),radius=.8)
jet = Jet(Tube((10.5,14.),0.,3.,.3),Parallel(0.),'parabolic',.003)
run = FixedPatchStepper(CFG,context=ctx,refinements=[PARENTS,A],level_blocks=[(4,4)]*3,
level_objects=[(),(),(body,)],level_jets=[(),(),(jet,)])
run = FixedPatchStepper(CFG,PARENTS,context=ctx,base_block=(4,4),fine_block=(4,4),
child_block=(4,4),child_rectangles_in_parent=A,
child_objects=(body,),child_jets=(jet,))
return run,(body,)
@@ -90,18 +90,14 @@ def census(run, index, buffer):
return totals(dense, leaf), external, independent
def fine(block):
"""Two-level circle+jet construction on BOUNDS; block None keeps the dense fine level."""
return dict(refinements=[BOUNDS], level_blocks=[None, block],
level_objects=[(), (circle(),)], level_jets=[(), (jet(),)])
class RawExchangeGPU(unittest.TestCase):
def test_row_ledger_interval_jet_switch_and_no_population_effect(self):
with CudaContext(0) as ctx:
for block in ((32, 40), (16, 20), (8, 10)):
with FixedPatchStepper(CFG, context=ctx, **fine(block), observe_raw_exchange=True) as measured, \
FixedPatchStepper(CFG, context=ctx, **fine(block)) as plain:
with FixedPatchStepper(CFG, BOUNDS, context=ctx, fine_block=block,
fine_objects=[circle()], jets=[jet()], observe_raw_exchange=True) as measured, \
FixedPatchStepper(CFG, BOUNDS, context=ctx, fine_block=block,
fine_objects=[circle()], jets=[jet()]) as plain:
arrays = [state(l.shape) for l in measured._levels]
measured.initialize(*arrays)
plain.initialize(*arrays)
@@ -150,8 +146,9 @@ class RawExchangeGPU(unittest.TestCase):
"""Same fine resolution/initial data with dense storage: a numerical
reference for cut-link rows, not a uniform-whole-domain convergence study."""
with CudaContext(0) as ctx:
with FixedPatchStepper(CFG, context=ctx, **fine(None)) as dense, \
FixedPatchStepper(CFG, context=ctx, **fine((16, 20)), observe_raw_exchange=True) as blocked:
with FixedPatchStepper(CFG, BOUNDS, context=ctx, fine_objects=[circle()], jets=[jet()]) as dense, \
FixedPatchStepper(CFG, BOUNDS, context=ctx, fine_block=(16, 20),
fine_objects=[circle()], jets=[jet()], observe_raw_exchange=True) as blocked:
arrays = [state(l.shape) for l in blocked._levels]
dense.initialize(*arrays)
blocked.initialize(*arrays)
@@ -232,7 +229,8 @@ class RawExchangeGPU(unittest.TestCase):
layout = BlockLayout2D.build(48, 64, 8, 8)
with CudaContext(0) as ctx:
with PeriodicBlockStepper(fine_cfg, layout, context=ctx, objects=[obj]) as uniform, \
FixedPatchStepper(CFG, context=ctx, **fine((16, 20)), observe_raw_exchange=True) as amr:
FixedPatchStepper(CFG, BOUNDS, context=ctx, fine_block=(16, 20),
fine_objects=[circle()], jets=[jet()], observe_raw_exchange=True) as amr:
amr.initialize(*(state(l.shape) for l in amr._levels))
uniform.initialize(state((9, 48, 64)))
b = amr._level_boundaries[1]
@@ -83,10 +83,11 @@ def mocked_backend(mode="periodic", fail_alloc=None):
class BlockedBaseCPU(unittest.TestCase):
def test_reject_before_cuda(self):
context = Mock(activate=Mock(side_effect=AssertionError("CUDA reached")))
for blocks in ([(12, 8), None], [(7, 8), FINE_BLOCK], [(12,), FINE_BLOCK]):
with self.subTest(blocks=blocks), self.assertRaises(ValueError):
FixedPatchStepper(config("periodic"), context=context, refinements=[BOUNDS],
level_blocks=blocks)
for kwargs in ({"base_block": (12, 8)},
{"base_block": (7, 8), "fine_block": FINE_BLOCK},
{"base_block": (12,), "fine_block": FINE_BLOCK}):
with self.subTest(kwargs=kwargs), self.assertRaises(ValueError):
FixedPatchStepper(config("periodic"), BOUNDS, context=context, **kwargs)
context.activate.assert_not_called()
def test_all_arrival_rows_donors_and_kind_masks(self):
@@ -192,10 +193,9 @@ class BlockedBaseCPU(unittest.TestCase):
def test_launch_order_stream_wall_constants_and_buffer_swaps(self):
with mocked_backend("slot_reservoir") as m:
backend = FixedPatchStepper(config("slot_reservoir"), context=m["context"],
coarse_boundary="slot_reservoir", refinements=[BOUNDS],
level_blocks=[(3, 4), FINE_BLOCK],
level_objects=[(), (circle(actuation(.002)),)])
backend = FixedPatchStepper(config("slot_reservoir"), BOUNDS, context=m["context"],
coarse_boundary="slot_reservoir", fine_block=FINE_BLOCK,
base_block=(3, 4), fine_objects=[circle(actuation(.002))])
try:
backend.initialize(state(NY, NX, 1), state(*backend.patch.fine_shape, 2))
coarse, fine = backend._levels
@@ -223,8 +223,6 @@ class BlockedBaseCPU(unittest.TestCase):
self.assertIs(collide[4], coarse.kind)
walls = [a for ptr, a in m["uploads"] if isinstance(ptr, str) and ptr == "d_block_wall"]
self.assertEqual(len(walls), 1)
self.assertEqual([call.kwargs["block_root_bc"] for call in
compiler.generate_config.call_args_list], [1, 0])
width, height, slot, speed = struct.unpack("=IIIf", walls[0])
self.assertEqual((width, height, slot), (NX, NY, 8))
self.assertAlmostEqual(speed, .001)
@@ -238,16 +236,16 @@ class BlockedBaseCPU(unittest.TestCase):
for fail_at in (1, 6, 10):
with self.subTest(fail_at=fail_at), mocked_backend(fail_alloc=fail_at) as m:
with self.assertRaisesRegex(MemoryError, "injected allocation"):
FixedPatchStepper(config("periodic"), context=m["context"], refinements=[BOUNDS],
level_blocks=[(3, 4), FINE_BLOCK])
FixedPatchStepper(config("periodic"), BOUNDS, context=m["context"],
fine_block=FINE_BLOCK, base_block=(3, 4))
self.assertEqual(len(m["allocations"]), fail_at)
for allocation in m["allocations"]:
allocation.free.assert_called_once_with()
def test_failed_parent_stage_cannot_publish_or_resume(self):
with mocked_backend() as m:
backend = FixedPatchStepper(config("periodic"), context=m["context"], refinements=[BOUNDS],
level_blocks=[(3, 4), FINE_BLOCK])
backend = FixedPatchStepper(config("periodic"), BOUNDS, context=m["context"],
fine_block=FINE_BLOCK, base_block=(3, 4))
backend.initialize(state(NY, NX, 1), state(*backend.patch.fine_shape, 2))
m["functions"]["BlockCoalesce"].side_effect = RuntimeError("injected parent stage failure")
current = backend._levels[0].current
@@ -291,10 +289,9 @@ class BlockedBaseGPU(unittest.TestCase):
for base_block in (None, *layouts):
label = f"{mode} width={width} speed={speed} base={base_block}"
snapshots = []
with FixedPatchStepper(cfg, context=context, coarse_boundary=mode,
refinements=[BOUNDS], level_blocks=[base_block, FINE_BLOCK],
level_objects=[(), () if speed is None
else (circle(actuation(speed)),)]) as backend:
with FixedPatchStepper(cfg, BOUNDS, context=context, coarse_boundary=mode,
fine_block=FINE_BLOCK, base_block=base_block,
fine_objects=() if speed is None else [circle(actuation(speed))]) as backend:
backend.initialize(*arrays)
for step in (0, 1, 2, 8):
if step == 1 and base_block is not None:
@@ -105,10 +105,9 @@ class BlockedFineCPU(unittest.TestCase):
return Mock(activate=Mock(side_effect=AssertionError("CUDA reached")), sm_arch="sm_70")
def test_rejections_before_cuda(self):
for kw in ({"level_blocks": [None, (7, 7)]}, {"level_blocks": [None, (16,)]}):
for kw in ({"fine_block": (7, 7)}, {"fine_block": (16,)}):
with self.subTest(kw=kw), self.assertRaises(ValueError):
FixedPatchStepper(config("periodic"), context=self.forbidden_context(),
refinements=[BOUNDS], **kw)
FixedPatchStepper(config("periodic"), BOUNDS, context=self.forbidden_context(), **kw)
def test_single_block_layout_allocates_no_empty_halo_tables(self):
# A 1x1 non-periodic fine layout has zero halo pairs; CUDA rejects mem_alloc(0).
@@ -126,8 +125,8 @@ class BlockedFineCPU(unittest.TestCase):
patch.object(compiler, "compile_kernel"), patch.object(compiler, "cleanup_build_dir"), \
patch.object(compiler, "load_module", return_value=module), \
patch.object(cuda, "mem_alloc", side_effect=alloc), patch.object(cuda, "memcpy_htod"):
backend = FixedPatchStepper(config("periodic"), context=context, refinements=[BOUNDS],
level_blocks=[None, FINE_BLOCKS[0]])
backend = FixedPatchStepper(config("periodic"), BOUNDS, context=context,
fine_block=FINE_BLOCKS[0])
self.assertEqual(len(backend.fine_layout.halo_dst), 0)
self.assertIsNone(backend._levels[1].halo_dst)
backend._gather_halo(backend._levels[1], Mock()) # no launch without pairs
@@ -178,9 +177,8 @@ class BlockedFineCPU(unittest.TestCase):
patch.object(cuda, "mem_alloc", side_effect=lambda size: Mock()), \
patch.object(cuda, "memcpy_htod"), \
patch.object(curved_links, "CurvedLinkSoA", side_effect=AssertionError("dense SoA built")):
backend = FixedPatchStepper(config("periodic"), context=context, refinements=[BOUNDS],
level_blocks=[None, FINE_BLOCKS[1]],
level_objects=[(), tuple(objects)])
backend = FixedPatchStepper(config("periodic"), BOUNDS, context=context,
fine_objects=objects, fine_block=FINE_BLOCKS[1])
backend.initialize(state(NY, NX, 1), state(*backend.patch.fine_shape, 2))
return backend, calls
@@ -291,9 +289,8 @@ class BlockedFineGPU(unittest.TestCase):
results = []
with CudaContext(0) as context:
for fine_block in (None, *FINE_BLOCKS):
with FixedPatchStepper(cfg, context=context, coarse_boundary=mode,
refinements=[BOUNDS],
level_blocks=[None, fine_block]) as backend:
with FixedPatchStepper(cfg, BOUNDS, context=context, coarse_boundary=mode,
fine_block=fine_block) as backend:
backend.initialize(g_coarse, g_fine)
backend.step(STEPS)
self.assertEqual(backend.step_count, STEPS)
@@ -321,9 +318,8 @@ class BlockedFineGPU(unittest.TestCase):
results = []
with CudaContext(0) as context:
for fine_block in (None, *FINE_BLOCKS):
with FixedPatchStepper(cfg, context=context, coarse_boundary=mode,
refinements=[BOUNDS], level_blocks=[None, fine_block],
level_objects=[(), (circle(),)]) as backend:
with FixedPatchStepper(cfg, BOUNDS, context=context, coarse_boundary=mode,
fine_objects=[circle()], fine_block=fine_block) as backend:
backend.initialize(g_coarse, g_fine)
backend.step(STEPS)
results.append((backend.download(), raw(backend)))
@@ -350,9 +346,9 @@ class BlockedFineGPU(unittest.TestCase):
results = []
with CudaContext(0) as context:
for fine_block in (None, *FINE_BLOCKS):
with FixedPatchStepper(cfg, context=context, coarse_boundary=mode,
refinements=[BOUNDS], level_blocks=[None, fine_block],
level_objects=[(), (circle(actuation(speed)),)]) as backend:
with FixedPatchStepper(cfg, BOUNDS, context=context, coarse_boundary=mode,
fine_objects=[circle(actuation(speed))],
fine_block=fine_block) as backend:
backend.initialize(g_coarse, g_fine)
backend.step(STEPS)
results.append((backend.download(), raw(backend)))
@@ -94,8 +94,7 @@ class FaultGuardsCPU(unittest.TestCase):
("slot_reservoir", (12, 4, 20, 21))):
with self.subTest(mode=mode, bounds=bounds):
with self.assertRaises(ValueError):
implementation.FixedPatchStepper(cfg, context=context, coarse_boundary=mode,
refinements=[bounds])
implementation.FixedPatchStepper(cfg, bounds, context=context, coarse_boundary=mode)
context.activate.assert_not_called()
# Both exact channel limits and the original periodic two-cell margin
# must reach context activation, with no allocation or device required.
@@ -103,14 +102,11 @@ class FaultGuardsCPU(unittest.TestCase):
("periodic", (2, 2, 6, 5))):
with self.subTest(mode=mode, bounds=bounds):
with self.assertRaisesRegex(RuntimeError, "validated before CUDA"):
implementation.FixedPatchStepper(cfg, context=context, coarse_boundary=mode,
refinements=[bounds])
implementation.FixedPatchStepper(cfg, bounds, context=context, coarse_boundary=mode)
def fake_backend(self):
backend = PeriodicPatchStepper.__new__(PeriodicPatchStepper)
backend._layouts = [None, None] # dense storage on both levels
backend._ddf_shifting = False # unshifted on every level, as _check_storage expects
backend._level_cfgs = [LBMConfig(nx=16, ny=16, viscosity=.1)] * 2 # ddf_shifting off
backend.fine_layout = None # dense fine storage
backend.ctx = Mock(activate=nullcontext)
backend._lock = RLock()
backend._status = "ready"
@@ -158,23 +154,12 @@ class FaultGuardsCPU(unittest.TestCase):
context = Mock(activate=nullcontext, sm_arch="sm_70")
with patch.object(implementation, "HALO", 2):
with self.assertRaisesRegex(RuntimeError, "four-cell"):
PeriodicPatchStepper(cfg, context=context, refinements=[(4, 4, 12, 12)])
PeriodicPatchStepper(cfg, (4, 4, 12, 12), context=context)
p = implementation.FixedPatch2D.from_config(cfg, (4, 4, 12, 12))
from CelerisLab.lbm import hierarchy
bad = patch.object(implementation.FixedPatch2D, "from_config",
return_value=replace(p, tau_coarse=.9))
# A pair tau inconsistent with its level config is rejected twice over, both before
# any device allocation or upload: first by the hierarchy chain check, and, if that
# is bypassed, by the per-level omega/tau check in _build_level.
with patch.object(cuda, "Stream"), bad, patch.object(cuda, "mem_alloc") as alloc, \
patch.object(cuda, "memcpy_htod") as upload:
with self.assertRaisesRegex(RuntimeError, "config chain is inconsistent"):
PeriodicPatchStepper(cfg, context=context, refinements=[p.bounds])
with patch.object(hierarchy, "_check_chain"), \
self.assertRaisesRegex(RuntimeError, "omega/tau"):
PeriodicPatchStepper(cfg, context=context, refinements=[p.bounds])
alloc.assert_not_called()
upload.assert_not_called()
with patch.object(cuda, "Stream"), patch.object(implementation.FixedPatch2D, "from_config",
return_value=replace(p, tau_coarse=.9)):
with self.assertRaisesRegex(RuntimeError, "omega/tau"):
PeriodicPatchStepper(cfg, p.bounds, context=context)
module = Mock()
module.get_global.return_value = (Mock(), 16)
with patch.object(cuda, "Stream"), patch.object(compiler, "generate_config"), \
@@ -182,7 +167,7 @@ class FaultGuardsCPU(unittest.TestCase):
patch.object(compiler, "load_module", return_value=module), \
patch.object(cuda, "memcpy_htod") as upload:
with self.assertRaisesRegex(RuntimeError, "layout mismatch"):
PeriodicPatchStepper(cfg, context=context, refinements=[p.bounds])
PeriodicPatchStepper(cfg, p.bounds, context=context)
upload.assert_not_called()
@@ -256,7 +241,7 @@ class NormalBuildGPU(unittest.TestCase):
max_error = max_bc_error = 0.0
with CudaContext(0) as context:
with patch.object(compiler, "generate_config", side_effect=record_config):
backend = implementation.FixedPatchStepper(cfg, context=context, refinements=[bounds],
backend = implementation.FixedPatchStepper(cfg, bounds, context=context,
coarse_boundary="slot_reservoir")
with backend:
self.assertEqual(len(generated), 2)
@@ -326,8 +311,7 @@ class NormalBuildGPU(unittest.TestCase):
for a in (initial.coarse_f, initial.fine_f)))
max_pop = max_drift = max_moment = 0.0
with CudaContext(0) as context, PeriodicPatchStepper(
LBMConfig(nx=16, ny=16, viscosity=.1), context=context,
refinements=[(4, 4, 12, 12)]) as backend:
LBMConfig(nx=16, ny=16, viscosity=.1), (4, 4, 12, 12), context=context) as backend:
backend.initialize(*postcollision(state, spec, maps))
before = totals(backend.download(), maps)
for step in range(1, 9):
@@ -358,7 +342,7 @@ class NormalBuildGPU(unittest.TestCase):
fine_mask[4:-4, 4:-4] = True
initial[1][:, ~fine_mask] = np.nan
expected = scalar_interval(*[a.astype(np.float64) for a in initial], bounds)
with CudaContext(0) as context, PeriodicPatchStepper(cfg, context=context, refinements=[bounds]) as backend:
with CudaContext(0) as context, PeriodicPatchStepper(cfg, bounds, context=context) as backend:
self.assertEqual(backend.patch.fine_shape, (14, 16))
p = backend.patch
allocated = 2 * 9 * (17*13+16*14) * 4 + sum(a.nbytes for a in
@@ -84,13 +84,13 @@ class CoupledGPU(unittest.TestCase):
cases = (("dense_unshifted", False, {}),
("blocked_shifted", True,
dict(level_blocks=[(4, 4), (6, 6)])))
dict(base_block=(4, 4), fine_block=(6, 6))))
with CudaContext(0) as context:
for label, shifted, storage in cases:
with self.subTest(storage=label):
cfg = LBMConfig(nx=16, ny=16, viscosity=.0192,
ddf_shifting=shifted)
with FixedPatchStepper(cfg, context=context, refinements=[(4, 4, 12, 12)],
with FixedPatchStepper(cfg, (4, 4, 12, 12), context=context,
**storage) as backend:
self.assertAlmostEqual(backend.patch.tau_coarse, spec.tau_coarse)
self.assertAlmostEqual(backend.patch.tau_fine, spec.tau_fine)
@@ -148,7 +148,7 @@ class CoupledGPU(unittest.TestCase):
maps = ref.build_maps(spec)
with CudaContext(0) as context:
with PeriodicPatchStepper(LBMConfig(nx=16, ny=16, viscosity=.1),
context=context, refinements=[(4, 4, 12, 12)]) as backend:
(4, 4, 12, 12), context=context) as backend:
backend.initialize(*postcollision(ref.make_state(spec), spec, maps))
coarse, fine = backend._levels
@@ -187,7 +187,7 @@ class CoupledGPU(unittest.TestCase):
with CudaContext(0) as context:
with patch.object(compiler, "compile_kernel", audit_compile):
backend = PeriodicPatchStepper(cfg, context=context, refinements=[(4, 4, 12, 12)])
backend = PeriodicPatchStepper(cfg, (4, 4, 12, 12), context=context)
with backend:
# Production allocations: four DDF arrays and four compact tables.
device_bytes = 2 * 9 * (16**2 + 24**2) * 4
@@ -270,7 +270,7 @@ class CoupledGPU(unittest.TestCase):
backend.download()
# Compile and execute the actual non-audited entry as well: one step.
with PeriodicPatchStepper(cfg, context=context, refinements=[(4, 4, 12, 12)]) as plain:
with PeriodicPatchStepper(cfg, (4, 4, 12, 12), context=context) as plain:
rest = postcollision(ref.make_state(spec), spec, maps)
plain.initialize(*rest)
plain.step()
@@ -41,9 +41,8 @@ def mocked(objects, jets, fine_block):
patch.object(compiler, "load_module", return_value=module), \
patch.object(cuda, "mem_alloc", side_effect=lambda size: Mock()), \
patch.object(cuda, "memcpy_htod", htod):
backend = FixedPatchStepper(config("periodic"), context=context, refinements=[BOUNDS],
level_blocks=[None, fine_block], level_objects=[(), tuple(objects)],
level_jets=[(), tuple(jets)])
backend = FixedPatchStepper(config("periodic"), BOUNDS, context=context,
fine_objects=objects, fine_block=fine_block, jets=jets)
return backend, htod
@@ -150,9 +149,8 @@ class JetStepperCPU(unittest.TestCase):
def test_jet_overlapping_legacy_aperture_rejected_before_cuda(self):
with patch.object(cuda, "Stream", side_effect=AssertionError("CUDA touched")):
with self.assertRaisesRegex(ValueError, "SurfaceActuation"):
FixedPatchStepper(config("periodic"), context=Mock(), refinements=[BOUNDS],
level_objects=[(), (circle(actuation(SPEED)),)],
level_jets=[(), (jet(),)])
FixedPatchStepper(config("periodic"), BOUNDS, context=Mock(),
fine_objects=[circle(actuation(SPEED))], jets=[jet()])
def run(mode, fine_block, *, objects, jets, switch=None):
@@ -160,9 +158,8 @@ def run(mode, fine_block, *, objects, jets, switch=None):
cfg = config(mode)
patch_ = FixedPatch2D.from_config(cfg, BOUNDS)
with CudaContext(0) as context, FixedPatchStepper(
cfg, context=context, coarse_boundary=mode, refinements=[BOUNDS],
level_blocks=[None, fine_block], level_objects=[(), tuple(objects)],
level_jets=[(), tuple(jets)]) as backend:
cfg, BOUNDS, context=context, coarse_boundary=mode, fine_objects=objects,
fine_block=fine_block, jets=jets) as backend:
backend.initialize(state(NY, NX, 1), state(*patch_.fine_shape, 2))
if switch is None:
backend.step(STEPS)
@@ -42,9 +42,8 @@ class RefinementMRTGPU(unittest.TestCase):
collision="MRT", ddf_shifting=shifted)
reference = None
for block in ((32, 48), (8, 8), (4, 1)):
with FixedPatchStepper(cfg, context=context, coarse_boundary=boundary,
refinements=[(8, 6, 40, 26)], level_blocks=[block, (8, 8)],
level_objects=[(), (body,)]) as backend:
with FixedPatchStepper(cfg, (8, 6, 40, 26), context=context, coarse_boundary=boundary,
base_block=block, fine_block=(8, 8), fine_objects=(body,)) as backend:
backend.initialize(*[state(*level.shape[1:]) for level in backend._levels])
backend.step(8)
raw = backend._download_raw()
@@ -64,8 +63,8 @@ class RefinementMRTGPU(unittest.TestCase):
results = {}
layouts = ((None, None), *((base, FINE_BLOCK) for base in (None, *BASE_BLOCKS)))
for base_block, fine_block in layouts:
with FixedPatchStepper(cfg, context=context, refinements=[BOUNDS],
level_blocks=[base_block, fine_block]) as backend:
with FixedPatchStepper(cfg, BOUNDS, context=context, fine_block=fine_block,
base_block=base_block) as backend:
backend.initialize(*[fixture.state(*level.shape[1:], seed) for seed, level in enumerate(backend._levels)])
backend.step(4)
results[base_block, fine_block] = raw(backend)
@@ -76,9 +75,9 @@ class RefinementMRTGPU(unittest.TestCase):
def test_shifted_all_blocked_three_level_mrt_smoke(self):
"""Per-level shear rate omega_l = 1/(3*2**l*nu + 1/2); finite ACTIVE leaves."""
cfg = LBMConfig(nx=16, ny=16, viscosity=.1, collision="MRT", ddf_shifting=True)
kw = dict(refinements=[(4, 4, 12, 12), (8, 8, 16, 16)], level_blocks=[(4, 4)] * 3)
kw = dict(fine_block=(4, 4), base_block=(4, 4), child=(8, 8, 16, 16), child_block=(4, 4))
with CudaContext(0) as context:
with FixedPatchStepper(cfg, context=context, **kw) as backend:
with FixedPatchStepper(cfg, (4, 4, 12, 12), context=context, **kw) as backend:
self.assertEqual(len(backend._level_cfgs), 3)
for level, level_cfg in enumerate(backend._level_cfgs):
checked = replace(level_cfg)
@@ -26,12 +26,6 @@ FACE = ((4, 4, 8, 12), (12, 4, 16, 12))
S1 = ((4, 4, 12, 12), (20, 4, 28, 12))
def levels(bounds, blocks=(None, None), objects=(), jets=(), **rest):
"""Two-level constructor keywords: one L1 rectangle or set, per-level blocks, L1 bodies/Jets."""
return dict(refinements=[bounds], level_blocks=list(blocks),
level_objects=[(), tuple(objects)], level_jets=[(), tuple(jets)], **rest)
def level_fine(patch_set, windows):
"""Level-wide fine array with each patch window filled from `windows`."""
out = np.full((9, *patch_set.fine_shape), np.nan, np.float32)
@@ -51,21 +45,21 @@ class MultipatchCPU(unittest.TestCase):
def test_rejections_before_cuda(self):
cfg = config("periodic")
context = object() # never activated: every case must fail first
for kw in (dict(), dict(blocks=(None, (8, 4))), dict(blocks=((4, 4), None)),
dict(blocks=((4, 4), (8, 4)), objects=[circle()]),
dict(blocks=((4, 4), (5, 4)))):
for kw in (dict(), dict(fine_block=(8, 4)), dict(base_block=(4, 4)),
dict(fine_block=(8, 4), base_block=(4, 4), fine_objects=[circle()]),
dict(fine_block=(5, 4), base_block=(4, 4))):
with self.subTest(kw=kw), self.assertRaises(ValueError):
FixedPatchStepper(cfg, context=context, **levels(((4, 4, 8, 12), (14, 4, 18, 12)), **kw))
FixedPatchStepper(cfg, ((4, 4, 8, 12), (14, 4, 18, 12)), context=context, **kw)
with self.assertRaisesRegex(ValueError, "margin"):
FixedPatchStepper(cfg, context=context,
**levels(((1, 4, 8, 12), (10, 4, 14, 12)), blocks=((4, 4), (8, 4))))
FixedPatchStepper(cfg, ((1, 4, 8, 12), (10, 4, 14, 12)), context=context,
fine_block=(8, 4), base_block=(4, 4))
from CelerisLab.body.jets import Jet, Parallel, Tube
cfg32 = LBMConfig(nx=32, ny=16, viscosity=.1)
span = Jet(Tube((5., 8.), 0., 22., .6), Parallel(0.), amplitude=0.)
with self.assertRaisesRegex(ValueError, "one jet"): # same obj_id cannot bypass it
FixedPatchStepper(cfg32, context=context,
**levels(((2, 2, 14, 14), (18, 2, 30, 14)), blocks=((4, 4), (4, 4)),
objects=[body(8., 8.), body(24., 8.)], jets=[span]))
FixedPatchStepper(cfg32, ((2, 2, 14, 14), (18, 2, 30, 14)), context=context,
fine_block=(4, 4), base_block=(4, 4),
fine_objects=[body(8., 8.), body(24., 8.)], jets=[span])
class MultipatchGPU(unittest.TestCase):
@@ -73,7 +67,7 @@ class MultipatchGPU(unittest.TestCase):
def run_steps(self, context, cfg, bounds, coarse, fine, **kw):
out = []
with FixedPatchStepper(cfg, context=context, **levels(bounds, **kw)) as backend:
with FixedPatchStepper(cfg, bounds, context=context, **kw) as backend:
backend.initialize(coarse, fine)
for step in self.STEPS:
backend.step(step - backend.step_count)
@@ -88,7 +82,7 @@ class MultipatchGPU(unittest.TestCase):
p = FixedPatch2D.from_config(cfg, BOUNDS)
s = FixedPatchSet2D.from_config(cfg, (BOUNDS,))
coarse, fine = state(NY, NX, 1), state(*p.fine_shape, 2)
kw = dict(coarse_boundary=mode, blocks=((3, 4), (8, 4)))
kw = dict(coarse_boundary=mode, fine_block=(8, 4), base_block=(3, 4))
old = self.run_steps(context, cfg, BOUNDS, coarse, fine, **kw)
new = self.run_steps(context, cfg, (BOUNDS,), coarse, level_fine(s, [fine]), **kw)
for step, a, b in zip(self.STEPS, old, new):
@@ -105,7 +99,7 @@ class MultipatchGPU(unittest.TestCase):
one = FixedPatchSet2D.from_config(cfg16, (S1[0],))
two = FixedPatchSet2D.from_config(cfg32, S1)
coarse, fine = state(16, 16, 3), state(*one.patches[0].fine_shape, 4)
kw = dict(blocks=((4, 4), (4, 4)))
kw = dict(fine_block=(4, 4), base_block=(4, 4))
with CudaContext(0) as context:
ref = self.run_steps(context, cfg16, (S1[0],), coarse, level_fine(one, [fine]), **kw)
tiled = np.concatenate([coarse, coarse], axis=2)
@@ -124,7 +118,7 @@ class MultipatchGPU(unittest.TestCase):
s = FixedPatchSet2D.from_config(cfg, FACE)
coarse = state(16, 24, 5)
fine = level_fine(s, [state(*p.fine_shape, 6 + i) for i, p in enumerate(s.patches)])
kw = dict(blocks=((4, 4), (4, 4)))
kw = dict(fine_block=(4, 4), base_block=(4, 4))
leaf = s.fine_kind == ACTIVE
support = s.fine_layout((4, 4)).owned
outer = support & (s.fine_kind == OUTER_GHOST)
@@ -170,7 +164,7 @@ class MultipatchBodiesGPU(unittest.TestCase):
def run_steps(self, context, cfg, bounds, coarse, fine, switch=None, **kw):
out = []
with FixedPatchStepper(cfg, context=context, **levels(bounds, **kw)) as backend:
with FixedPatchStepper(cfg, bounds, context=context, **kw) as backend:
backend.initialize(coarse, fine)
for step in self.STEPS:
if switch is not None and step == 8:
@@ -188,7 +182,8 @@ class MultipatchBodiesGPU(unittest.TestCase):
p = FixedPatch2D.from_config(cfg, BOUNDS)
s = FixedPatchSet2D.from_config(cfg, (BOUNDS,))
coarse, fine = state(NY, NX, 1), state(*p.fine_shape, 2)
kw = dict(coarse_boundary=mode, blocks=((3, 4), (8, 4)), objects=[circle()])
kw = dict(coarse_boundary=mode, fine_block=(8, 4), base_block=(3, 4),
fine_objects=[circle()])
old = self.run_steps(context, cfg, BOUNDS, coarse, fine, **kw)
new = self.run_steps(context, cfg, (BOUNDS,), coarse, level_fine(s, [fine]), **kw)
for step, a, b in zip(self.STEPS, old, new):
@@ -207,17 +202,17 @@ class MultipatchBodiesGPU(unittest.TestCase):
two = FixedPatchSet2D.from_config(cfg32, self.PATCHES)
coarse, fine = state(16, 16, 3), state(*one.patches[0].fine_shape, 4)
jet = lambda x: Jet(Tube((x, 8.), 0., 6., .6), Parallel(0.), amplitude=.002)
kw = dict(blocks=((4, 4), (4, 4)))
kw = dict(fine_block=(4, 4), base_block=(4, 4))
with CudaContext(0) as context:
for jets in ((), (jet(5.),)):
ref = self.run_steps(context, cfg16, self.PATCHES[:1], coarse, level_fine(one, [fine]),
switch=[(0, -.001)] if jets else None,
objects=[body(8., 8.)], jets=jets, **kw)
fine_objects=[body(8., 8.)], jets=jets, **kw)
both = jets and (jet(5.), jet(21.))
got = self.run_steps(context, cfg32, self.PATCHES, np.concatenate([coarse, coarse], 2),
level_fine(two, [fine, fine]),
switch=[(0, -.001), (1, -.001)] if jets else None,
objects=[body(8., 8., 5), body(24., 8., 5)],
fine_objects=[body(8., 8., 5), body(24., 8., 5)],
jets=both or (), **kw)
for step, a, b in zip(self.STEPS, ref, got):
label = f"jets={len(jets)} step {step}"
@@ -27,16 +27,7 @@ from test_refinement_blocked_base import raw
CFG = LBMConfig(nx=16, ny=16, viscosity=.1)
L1, L2 = (4, 4, 12, 12), (8, 8, 16, 16)
B = (4, 4)
def levels(l1=L1, l2=L2, blocks=(B, B, B), objects=((), (), ()), jets=((), (), ())):
"""Level-list keywords for the scalar L1 patch with one scalar L2 child."""
return dict(refinements=[l1, l2], level_blocks=list(blocks),
level_objects=list(objects), level_jets=list(jets))
KW = levels()
KW = dict(fine_block=(4, 4), base_block=(4, 4), child=L2, child_block=(4, 4))
def child_body(spec=None):
@@ -61,29 +52,26 @@ def mocked_child():
patch.object(compiler, "load_module", return_value=module), \
patch.object(cuda, "mem_alloc", side_effect=lambda size: Mock()), \
patch.object(cuda, "memcpy_htod"):
return FixedPatchStepper(CFG, context=context,
**levels(objects=((), (), (child_body(),)), jets=((), (), (child_jet(),))))
return FixedPatchStepper(CFG, L1, context=context, child_objects=[child_body()],
child_jets=[child_jet()], **KW)
class ThreeLevelCPU(unittest.TestCase):
def test_rejections_before_cuda(self):
context = object() # never activated: every case must fail first
bad = (levels(blocks=(B, B, None)), levels(blocks=(B, None, B)),
levels(objects=((), (circle(),), ())), levels(l2=(4, 8, 16, 16)),
levels(blocks=(B, B, (5, 4))))
bad = (dict(KW, child_block=None), dict(KW, fine_block=None),
dict(KW, fine_objects=[circle()]), dict(KW, child=(4, 8, 16, 16)),
dict(KW, child_block=(5, 4)))
for kw in bad:
with self.subTest(kw=kw), self.assertRaises(ValueError):
FixedPatchStepper(CFG, context=context, **kw)
# L2 bodies/Jets without an L2 level (one entry too many), and an L2 Jet without a body.
two_level = dict(refinements=[L1], level_blocks=[None, None])
for kw in (dict(two_level, level_objects=[(), (), (child_body(),)]),
dict(two_level, level_jets=[(), (), (child_jet(),)]),
levels(jets=((), (), (child_jet(),)))):
FixedPatchStepper(CFG, L1, context=context, **kw)
for kw in (dict(child_objects=[child_body()]), dict(child_jets=[child_jet()]),
dict(KW, child_jets=[child_jet()])):
with self.assertRaises(ValueError):
FixedPatchStepper(CFG, context=context, **kw)
with self.assertRaises(ValueError): # several L1 patches + scalar child: not yet
FixedPatchStepper(LBMConfig(nx=32, ny=16, viscosity=.1), context=context,
**levels(l1=((4, 4, 12, 12), (20, 4, 28, 12))))
FixedPatchStepper(CFG, L1, context=context, **kw)
with self.assertRaises(ValueError): # several L1 patches + child: not yet
FixedPatchStepper(LBMConfig(nx=32, ny=16, viscosity=.1), ((4, 4, 12, 12), (20, 4, 28, 12)),
context=context, **KW)
def test_four_halo_bfl_steps_and_fresh_middle_feeds(self):
@@ -92,12 +80,11 @@ class ThreeLevelCPU(unittest.TestCase):
f, g = run._levels[1:]
b = g.boundary
events, feeds = [], []
advance, gather = run._advance, run._gather_halo
def record_feed(index, buffer, **kw): # index 2: L1 hop feeds L2
if index == 2:
self.assertIs(buffer, (f.current, f.spare)[len(feeds)])
feeds.append(buffer)
advance(index, buffer, **kw)
advance, gather = run._advance_child, run._gather_halo
def record_feed(buffer, **kw):
self.assertIs(buffer, (f.current, f.spare)[len(feeds)])
feeds.append(buffer)
advance(buffer, **kw)
def record_halo(level, buffer, **kw):
if level is g:
events.append(("halo", buffer))
@@ -108,7 +95,7 @@ class ThreeLevelCPU(unittest.TestCase):
self.assertIs(kind, g.kind)
events.append(("step", src))
g.kernel.side_effect = record_step
with patch.object(run, "_advance", side_effect=record_feed), \
with patch.object(run, "_advance_child", side_effect=record_feed), \
patch.object(run, "_gather_halo", side_effect=record_halo):
run.step()
self.assertEqual(feeds, [f.current, f.spare])
@@ -118,8 +105,8 @@ class ThreeLevelCPU(unittest.TestCase):
self.assertGreater(len(np.unique(b.tables["block"])), 1)
# Negative control: reusing L1's old source at the midpoint must fail.
feeds.clear()
with patch.object(run, "_advance", side_effect=lambda index, buffer, **kw:
record_feed(index, f.current if index == 2 else buffer, **kw)):
with patch.object(run, "_advance_child", side_effect=lambda buffer, **kw:
record_feed(f.current, **kw)):
with self.assertRaises(AssertionError):
run.step()
run.close()
@@ -168,7 +155,7 @@ class ThreeLevelGPU(unittest.TestCase):
def test_equilibrium_is_kept_on_every_level(self):
from CelerisLab.cuda.context import CudaContext
feq = np.asarray(compute_feq_d2q9(1.0, .03, -.02), np.float32)[:, None, None]
with CudaContext(0) as ctx, FixedPatchStepper(CFG, context=ctx, **KW) as run:
with CudaContext(0) as ctx, FixedPatchStepper(CFG, L1, context=ctx, **KW) as run:
shapes = ((16, 16), run.patch.fine_shape, run.child_patch.fine_shape)
run.initialize(*(np.broadcast_to(feq, (9, *s)).copy() for s in shapes))
run.step(8)
@@ -181,16 +168,15 @@ class ThreeLevelGPU(unittest.TestCase):
def test_nonequilibrium_masks_and_fresh_middle_feeds(self):
from CelerisLab.cuda.context import CudaContext
with CudaContext(0) as ctx, FixedPatchStepper(CFG, context=ctx, **KW) as run:
with CudaContext(0) as ctx, FixedPatchStepper(CFG, L1, context=ctx, **KW) as run:
p1, p2 = run.patch, run.child_patch
run.initialize(state(16, 16, 1), state(*p1.fine_shape, 2), state(*p2.fine_shape, 3))
f = run._levels[1]
feeds, original = [], run._advance
def record(index, buffer, **kw): # index 2: L1 hop feeds L2
if index == 2:
feeds.append(int(buffer))
original(index, buffer, **kw)
with patch.object(run, "_advance", side_effect=record):
feeds, original = [], run._advance_child
def record(buffer, **kw):
feeds.append(int(buffer))
original(buffer, **kw)
with patch.object(run, "_advance_child", side_effect=record):
cur, spare = int(f.current), int(f.spare)
run.step(1)
self.assertEqual(feeds, [cur, spare]) # current G, then the new G of hop 1
@@ -217,9 +203,8 @@ class ThreeLevelBodyGPU(unittest.TestCase):
CFG, velocity=0., wall_normal_velocity=.001, wall_slot_width=4,
y_wall_bc="on_site_velocity", top_wall_bc="reservoir")
with CudaContext(0) as ctx, FixedPatchStepper(
cfg, context=ctx, coarse_boundary=mode,
**levels(blocks=(B, B, block), objects=((), (), (child_body(spec),)),
jets=((), (), tuple(jets)))) as run:
cfg, L1, context=ctx, coarse_boundary=mode, child_objects=[child_body(spec)],
child_jets=jets, **dict(KW, child_block=block)) as run:
run.initialize(*(state(*level.shape[1:], i + 1) for i, level in enumerate(run._levels)))
snapshots = []
for stop in (0, 1, 2, 4, 8):
@@ -78,10 +78,10 @@ class ThreeLevelMultipatchGPU(unittest.TestCase):
def run_case(self, ctx, cfg=CFG, parents=PARENTS, children=CHILDREN,
mode='periodic', blocks=((4, 4), (4, 4)), objects=(), drive=(), switch=False,
scalar_child=None):
child = children if scalar_child is None else scalar_child
with FixedPatchStepper(config(cfg, mode), context=ctx, coarse_boundary=mode,
refinements=[parents, child], level_blocks=[(4, 4), blocks[0], blocks[1]],
level_objects=[(), (), objects], level_jets=[(), (), drive]) as run:
kwargs = dict(child_rectangles_in_parent=children) if scalar_child is None else dict(child=scalar_child)
with FixedPatchStepper(config(cfg, mode), parents, context=ctx, coarse_boundary=mode,
base_block=(4, 4), fine_block=blocks[0], child_block=blocks[1],
child_objects=objects, child_jets=drive, **kwargs) as run:
frame = frames(run)
run.initialize(*(physical_state(level.shape[1:], *f)
for level, f in zip(run._levels, frame)))
@@ -26,8 +26,9 @@ FP64_ATOL = 3e-6
def make(ctx):
return FixedPatchStepper(CFG, context=ctx, refinements=[PARENTS, A],
level_blocks=[(4, 4)] * 3)
return FixedPatchStepper(CFG, PARENTS, context=ctx, base_block=(4, 4),
fine_block=(4, 4), child_block=(4, 4),
child_rectangles_in_parent=A)
def initial(run, uniform):
@@ -136,8 +136,8 @@ class ShiftedJetsGPU(unittest.TestCase):
Parallel(0.),amplitude=.013)
for rho in (.99,1.01):
with self.subTest(rho=rho),CudaContext(0) as ctx:
with FixedPatchStepper(cfg,context=ctx,refinements=[(8,6,24,18)],level_blocks=[(4,4)]*2,
level_objects=[(),(obj,)],level_jets=[(),(whole,)],observe_raw_exchange=True) as run:
with FixedPatchStepper(cfg,(8,6,24,18),context=ctx,base_block=(4,4),fine_block=(4,4),
fine_objects=(obj,),jets=(whole,),observe_raw_exchange=True) as run:
run._initialize_raw(initial(run,rho,u=.013,v=0.))
expected=run._download_raw();ledger=Ledger(self,run,1)
self.assertTrue(run._level_boundaries[1].tables['aperture'].all())
@@ -153,8 +153,7 @@ class ShiftedJetsGPU(unittest.TestCase):
obj=circle((16.,12.),2.15);j=drive((16.,12.),2.15)
for rho in (.99,1.01):
with self.subTest(rho=rho),CudaContext(0) as ctx,ExitStack() as owned:
settings=dict(context=ctx,refinements=[(8,6,24,18)],level_blocks=[(4,4)]*2,
level_objects=[(),(obj,)],level_jets=[(),(j,)])
settings=dict(bounds=(8,6,24,18),context=ctx,base_block=(4,4),fine_block=(4,4),fine_objects=(obj,),jets=(j,))
measured=owned.enter_context(FixedPatchStepper(cfg,observe_raw_exchange=True,**settings))
plain=owned.enter_context(FixedPatchStepper(cfg,**settings))
measured._initialize_raw(initial(measured,rho));plain._initialize_raw(initial(plain,rho))
@@ -187,9 +186,8 @@ class ShiftedJetsGPU(unittest.TestCase):
parents=((4,4,20,28),(24,4,44,28));a=((16,16,32,40),(56,16,72,40));b=(a[0],(60,16,76,40))
obj=circle((12.,14.),.8);j=drive((12.,14.),.8)
with CudaContext(0) as ctx,ExitStack() as owned:
old=owned.enter_context(FixedPatchStepper(cfg,context=ctx,refinements=[parents,a],
level_blocks=[(4,4)]*3,level_objects=[(),(),(obj,)],level_jets=[(),(),(j,)],
observe_raw_exchange=True))
old=owned.enter_context(FixedPatchStepper(cfg,parents,context=ctx,base_block=(4,4),fine_block=(4,4),
child_block=(4,4),child_rectangles_in_parent=a,child_objects=(obj,),child_jets=(j,),observe_raw_exchange=True))
old._initialize_raw(initial(old,.99));ledger=Ledger(self,old,2)
for speed in (.002,-.001):old.set_jet_amplitude(0,speed,level=2);ledger.step()
before=old._download_raw();count=old.step_count
@@ -22,8 +22,9 @@ B=((20,16,36,40),)
def make(ctx):
return FixedPatchStepper(CFG,context=ctx,refinements=[PARENTS,A],
level_blocks=[(4,4)]*3)
return FixedPatchStepper(CFG,PARENTS,context=ctx,base_block=(4,4),
fine_block=(4,4),child_block=(4,4),
child_rectangles_in_parent=A)
def initial(run):
-222
View File
@@ -1,222 +0,0 @@
"""Steady DFG 2D-1 (Re 20): refined and uniform runs against the official reference intervals.
Not a full benchmark certification. Declared deviations from the official setup:
pressure-NEQ outlet (``neq_extrap``) instead of do-nothing, local Zou-He inlet.
Geometry, inflow profile, initial state, refined layout and observation reuse the
pinned Re100 runner (``run_refined_dfg``) and ``re100_helpers`` unchanged; only the
lattice viscosity is set for Re 20 (nu = U_lattice * D / 20 at the root level).
Units. The helpers use scaled DFG units with mean inflow speed 1, so
Cd = 2 Fx / (rho U^2 D) and Cl = 2 Fy / (rho U^2 D) are scale-free, and
``pressure_probes`` returns dp / (rho U^2). The official p_diff = p(0.15, 0.2) -
p(0.25, 0.2) uses U = 0.2 m/s, rho = 1, so p_diff = dp * 0.04. Both are reported;
only p_diff is compared with the official interval. Forces use the existing sign
convention: F is the force of the fluid on the cylinder, i.e. the refined raw
exchange impulse (window ledger, ``total.impulse``) or the uniform ``read_force``,
with x along the inflow and y up from the bottom wall. Cd must be positive, and the
official Cl is positive (centre 0.20 below the centreline 0.205), so a flipped sign
shows up as Cl outside its interval.
Sampling. One sample every SAMPLE_TSTAR (t* = U t / D; 0.25 s), taken at the end of
a completed root step with all levels synchronized; the step index is recorded. Cd
and Cl are means over the sample interval (window exchange ledger refined, per-batch
forces uniform), which filters acoustic and step-parity oscillation; p_diff is the
end-of-interval value at the exact surface points.
Steady rule (our engineering choice, frozen before any run; not official). Over the
trailing WINDOW_TSTAR (t* 50..60 inclusive, 21 samples), for each of Cd, Cl and
p_diff: range (max - min) <= 10 % and |least-squares slope * window| <= 2 % of the
width of its official interval. Absolute limits, so the small Cl is never a divisor;
the slope term bounds slow monotone drift that the range alone would pass. If the
rule fails at TSTAR_MAX the run reports "not steady" and gives no interval verdict;
limits are never relaxed after a run. The verdict uses the window mean, and the
distance of each mean to its nearest interval edge is reported (negative outside).
"""
import argparse
import json
import math
import os
from pathlib import Path
import sys
import time
from tempfile import TemporaryDirectory
import numpy as np
HERE = Path(__file__).resolve().parent
sys.path.insert(0, str(HERE))
import run_refined_dfg as rr # noqa: E402
RE = 20.0
U_PHYS = 0.2 # m/s mean inflow; rho = 1
TSTAR_MAX = 60.0 # 30 s physical
SAMPLE_TSTAR = 0.5 # 0.25 s
WINDOW_TSTAR = 10.0 # trailing 5 s, 21 samples
# Schaefer & Turek (1996), 2D-1 lower/upper bounds.
BANDS = dict(cd=(5.57, 5.59), cl=(0.0104, 0.0110), p_diff=(0.1172, 0.1176))
STEADY_RANGE = {k: (hi - lo) / 10 for k, (lo, hi) in BANDS.items()}
STEADY_SLOPE = {k: (hi - lo) / 50 for k, (lo, hi) in BANDS.items()}
DEVIATIONS = ("pressure-NEQ outlet (neq_extrap), not do-nothing", "local Zou-He inlet")
_re100_config = rr.config
def config(h, diameter, collision="SRT", jet_scenario="none"):
"""The pinned Re100 configuration with the lattice viscosity set for Re 20."""
if jet_scenario != "none":
raise ValueError("DFG 2D-1 runs have no Jets")
cfg, body, p = _re100_config(h, diameter, collision, jet_scenario)
nu = p["mean_speed"] * p["diameter"] / RE
cfg["physics"]["viscosity"] = nu
return cfg, body, dict(p, viscosity=nu, re=RE)
def lattice_parameters(diameter, speed=rr.SPEED):
nu = speed * diameter / RE
return dict(viscosity=nu, tau=0.5 + 3 * nu, steps=math.ceil(TSTAR_MAX * diameter / speed),
interval=round(SAMPLE_TSTAR * diameter / speed))
def sample(impulse, n, diameter, dp):
den = rr.SPEED**2 * diameter / 2
return dict(cd=float(impulse[0] / n / den), cl=float(impulse[1] / n / den),
dp_scaled=float(dp), p_diff=float(dp) * U_PHYS**2)
def summarize(rows):
"""Steady rule over the trailing window, then the interval verdict (or none)."""
if not rows or rows[-1]["tstar"] < TSTAR_MAX - 1e-9:
return dict(status="INCOMPLETE", steady=False, verdict=None)
window = [r for r in rows if r["tstar"] >= TSTAR_MAX - WINDOW_TSTAR - 1e-9]
t = np.array([r["tstar"] for r in window])
ranges = {k: max(r[k] for r in window) - min(r[k] for r in window) for k in BANDS}
drifts = {k: abs(np.polyfit(t, [r[k] for r in window], 1)[0]) * WINDOW_TSTAR for k in BANDS}
steady = all(ranges[k] <= STEADY_RANGE[k] and drifts[k] <= STEADY_SLOPE[k] for k in BANDS)
final = {k: float(np.mean([r[k] for r in window])) for k in BANDS}
edge = {k: min(final[k] - BANDS[k][0], BANDS[k][1] - final[k]) for k in BANDS}
result = dict(window_samples=len(window), ranges=ranges, drifts=drifts,
range_limits=STEADY_RANGE, slope_limits=STEADY_SLOPE, steady=steady,
window_mean=final, edge_distance=edge, bands=BANDS,
deviations=DEVIATIONS, cd_positive=final["cd"] > 0)
if not steady:
return dict(result, status="NOT_STEADY", verdict=None)
inside = {k: BANDS[k][0] <= final[k] <= BANDS[k][1] for k in BANDS}
return dict(result, status="WITHIN_INTERVALS" if all(inside.values()) else "OUTSIDE_INTERVALS",
verdict=inside)
def healthy(row):
return row["max_mach"] <= 0.2 and row["rho_min"] >= 0.5 and row["rho_max"] <= 1.5
def run_case(a, h, case):
from contextlib import ExitStack
from CelerisLab.cuda.context import CudaContext
from CelerisLab.lbm.descriptors import FLUID
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
from CelerisLab.simulation import Simulation
refined = case == "refined"
cfgdict, bodydict, p = config(h, 40 if refined else 80, a.collision)
lp = lattice_parameters(p["diameter"])
rows = []
with ExitStack() as stack:
if refined:
cfg, pair, body, host = rr.host_geometry(a.source, h, a.collision)
context = stack.enter_context(CudaContext(0))
backend = stack.enter_context(FixedPatchStepper(
cfg, context=context, coarse_boundary="channel", refinements=[rr.PLACEMENTS["wide"]],
level_blocks=[rr.BASE_BLOCK, rr.FINE_BLOCK], level_objects=[(), (body,)],
observe_raw_exchange=True, observe_window_exchange=True))
from CelerisLab.lbm.channel import channel_masks
from CelerisLab.lbm.refinement import ACTIVE
from CelerisLab.lbm.descriptors import SOLID
masks = [channel_masks(pair.coarse_shape)[0] & ~pair.covered,
(pair.fine_kind == ACTIVE)
& ((host.flags.reshape(pair.fine_shape) & SOLID) == 0)]
backend.initialize(rr.initial_state(pair.coarse_shape, (0.0, 0.0), 1.0, root=True),
rr.initial_state(pair.fine_shape, pair.fine_origin, 0.5))
probe_p = dict(p, center=[(80.5 - pair.fine_origin[0]) / 0.5 - 0.5,
(81.0 - pair.fine_origin[1]) / 0.5 - 0.5], radius=40.0)
else:
tmp = Path(stack.enter_context(TemporaryDirectory()))
(tmp / "lbm.json").write_text(json.dumps(cfgdict))
(tmp / "body.json").write_text(json.dumps(bodydict))
sim = stack.enter_context(Simulation(str(tmp / "lbm.json"), str(tmp / "body.json"),
device_id=0))
sim.initialize()
probe_p = p
fluid = (sim.field.flag.reshape(p["ny"], p["nx"]) & FLUID) != 0
begin = 0
while begin < lp["steps"]:
rr.check_deadline(a.deadline)
n = min(lp["interval"], lp["steps"] - begin)
if refined:
impulse = rr.advance_refined_interval(backend, n, a.deadline, "window")
fields = [rr.macros(g) for g in backend.download()]
rho, ux, uy = fields[1]
fluid = masks[1]
vals = [tuple(v[m] for v in f) for m, f in zip(masks, fields)]
else:
impulse, done = np.zeros(2), 0
while done < n:
batch = min(100, n - done)
sim.run(batch)
impulse += sim.read_force(0).astype(np.float64) * batch
done += batch
m = sim.get_macroscopic()
rho, ux, uy = [np.asarray(m[k], np.float64).reshape(p["ny"], p["nx"])
for k in ("rho", "ux", "uy")]
vals = [(rho[fluid], ux[fluid], uy[fluid])]
begin += n
row = dict(step=begin, tstar=begin * rr.SPEED / p["diameter"],
**sample(impulse, n, p["diameter"],
h.pressure_probes(rho, fluid, probe_p)["dp"]),
rho_min=float(min(v[0].min() for v in vals)),
rho_max=float(max(v[0].max() for v in vals)),
max_mach=float(max(np.sqrt(3 * (v[1]**2 + v[2]**2)).max() for v in vals)))
rr.ensure_finite(row)
rows.append(row)
if not healthy(row):
break
summary = summarize(rows) if healthy(rows[-1]) else dict(status="UNHEALTHY", steady=False,
verdict=None)
return dict(case=case, collision=a.collision, lattice=lp, rows=rows, **summary)
def plan(collision="SRT"):
return dict(re=RE, collision=collision, tstar_max=TSTAR_MAX, sample_tstar=SAMPLE_TSTAR,
window_tstar=WINDOW_TSTAR, bands=BANDS, range_limits=STEADY_RANGE, slope_limits=STEADY_SLOPE,
deviations=DEVIATIONS, pressure_scale=U_PHYS**2,
refined_root=lattice_parameters(40), refined_fine_tau=0.5 + 3 * 2 * rr.SPEED * 40 / RE,
uniform=lattice_parameters(80),
label="compared against the official reference bands (non-canonical neq_extrap outlet, zou_he_local inlet); not a full benchmark certification")
def main():
parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
parser.add_argument("--case", choices=["refined", "uniform", "both"], default="refined")
parser.add_argument("--collision", choices=["SRT", "MRT"], default="SRT")
parser.add_argument("--source", type=Path, default=rr.DEFAULT_SOURCE)
parser.add_argument("--output", type=Path, required=True)
parser.add_argument("--plan", action="store_true", help="Write the frozen plan; no CUDA")
parser.add_argument("--max-wall-seconds", type=float)
a = parser.parse_args()
a.source = a.source.resolve()
a.output.mkdir(parents=True, exist_ok=False)
(a.output / "plan.json").write_text(json.dumps(plan(a.collision), indent=2, allow_nan=False))
if a.plan:
return
if not a.max_wall_seconds or a.max_wall_seconds <= 0 or not os.environ.get("CUDA_VISIBLE_DEVICES"):
raise SystemExit("GPU run needs --max-wall-seconds > 0 and explicit CUDA_VISIBLE_DEVICES")
h, _ = rr.helpers(a.source)
rr.config = config # host_geometry builds its root configuration through this name
a.deadline = time.monotonic() + a.max_wall_seconds
cases = ["refined", "uniform"] if a.case == "both" else [a.case]
results = [run_case(a, h, case) for case in cases]
(a.output / "result.json").write_text(json.dumps(results, indent=2, allow_nan=False))
if __name__ == "__main__":
main()
+6 -23
View File
@@ -74,25 +74,7 @@ def cv(g, fluid, origin, rectangle, nu, h=0.5):
Cauchy stress from centred velocity gradients, NOT postcollision non-equilibrium.
Rectangle faces lie on cell edges; fluid mask excludes the staircase cylinder.
"""
return _cv_quantities(*moments(g), fluid, origin, rectangle, nu, h)
def cv_from_macros(rho, ux, uy, fluid, origin, rectangle, nu, h=0.5):
"""Same CV calculation from public macros, in one common length/time frame.
``origin`` is the lower cell edge, ``h`` the cell width, and ``nu`` uses
that frame. Returns [mass, Px, Py] inventory and outward total flux.
Crop fields/mask together and translate origin before calling if desired.
No boundary-exchange observation enters this independent estimator.
"""
rho = np.asarray(rho, np.float64)
if rho.ndim != 2 or any(np.shape(v) != rho.shape for v in (ux, uy, fluid)):
raise ValueError("CV macros and fluid mask must have matching 2D shapes")
vel = np.asarray([ux, uy], np.float64)
return _cv_quantities(rho, rho[None] * vel, vel, fluid, origin, rectangle, nu, h)
def _cv_quantities(rho, mom, vel, fluid, origin, rectangle, nu, h):
rho, mom, vel = moments(g)
x0, y0, x1, y1 = np.rint((np.array(rectangle) - np.tile(origin, 2)) / h).astype(int)
np.testing.assert_allclose(
np.array([x0, y0, x1, y1]) * h + np.tile(origin, 2), rectangle, atol=1e-12
@@ -279,11 +261,12 @@ def run_case(c, ctx, output, provenance, continuation=False):
PeriodicBlockStepper(fine_cfg, layout, context=ctx, objects=[fobj]) as uniform,
FixedPatchStepper(
cfg,
c["bounds"],
context=ctx,
refinements=[c["bounds"]],
level_blocks=[(8, 8), (8, 8)],
level_objects=[(), (obj,)],
level_jets=[(), tuple(jets)],
base_block=(8, 8),
fine_block=(8, 8),
fine_objects=[obj],
jets=jets,
observe_raw_exchange=True,
) as amr,
):
+41 -278
View File
@@ -17,109 +17,8 @@ HERE = Path(__file__).resolve().parent
DEFAULT_SOURCE = HERE.parents[1]
BOUNDS = (40, 24, 320, 140)
BASE_BLOCK = (2, 881) # Exact 166 x 881 domain; no geometric padding.
FINE_BLOCK = (8, 8) # Wide 240 x 568 or compact 168 x 168, including fine halos.
FINE_BLOCK = (8, 8) # 240 x 568 including four fine halo cells.
SPEED = 0.01
JET_PEAK = 0.001
JET_WINDOWS = [(t, t + 10) for t in range(250, 300, 10)]
CV_CONTOURS = np.array([(48., 44., 160., 120.), (44., 36., 180., 128.)])
PLACEMENTS = {"wide": BOUNDS, "compact": (48, 48, 128, 128)}
COMPACT_CV_CONTOURS = np.array([(52., 52., 112., 112.), (50., 50., 120., 120.)])
def selected_cases(selection="both", uniform_diameter=80):
return [(case, diameter) for case, diameter in (("uniform", uniform_diameter), ("refined", 40))
if selection in ("both", case)]
def uniform_origin(diameter):
h = 40 / diameter
return (.5 - .5*h, 1 - h)
def cv_contours(refined, diameter, placement="wide"):
contours = CV_CONTOURS if placement == "wide" else COMPACT_CV_CONTOURS
return contours if refined else contours + [20/diameter, 0., 20/diameter, 0.]
def cv_selected(step, diameter, mode):
return mode == "pilot" or round(290 * diameter / SPEED) <= step <= round(300 * diameter / SPEED)
def cv_snapshot(rho, ux, uy, fluid, origin, refined, begin, n, diameter, impulse, placement="wide"):
"""Cropped public macros only; all inventories, fluxes and impulses use root units."""
from run_jet_circle_cv import cv_from_macros
rectangles = cv_contours(refined, diameter, placement)
h_cell = .5 if refined else 40 / diameter
origin = np.asarray(origin, dtype=float)
x0, y0, x1, y1 = np.rint((rectangles[-1] - np.tile(origin, 2)) / h_cell).astype(int)
selection = np.s_[y0-2:y1+2, x0-2:x1+2]
cropped_origin = origin + h_cell * np.array([x0-2, y0-2])
fields = [v[selection] for v in (rho, ux, uy, fluid)]
values = [cv_from_macros(*fields, cropped_origin, rect, .004, h=h_cell)
for rect in rectangles]
h_native = 1.0 if refined else 40 / diameter
return dict(step=begin+n, tstar=(begin+n)*SPEED/diameter,
time_root=(begin+n)*h_native, interval_start_root=begin*h_native,
interval_dt_root=n*h_native,
interval_impulse_root=(np.asarray(impulse)*h_native**2).tolist(),
inventory=[inventory.tolist() for inventory, _ in values],
outward_flux=[flux.tolist() for _, flux in values])
def public_jets(center, radius, scenario):
"""Same physical apertures; caller supplies its public geometry frame."""
if scenario == "none":
return ()
from CelerisLab.body.jets import Jet, Sector, Radial
peak = 0.0 if scenario == "zero" else JET_PEAK
return tuple(
Jet(Sector(center, angle, math.pi / 12, radius * 1.005),
Radial(center, inward=False), "parabolic", amplitude)
for angle, amplitude in ((math.pi / 2, peak), (3 * math.pi / 2, -peak))
)
def jet_interval(handle, scenario, begin, n, diameter):
"""Apply a reversal only at a completed interval boundary, before advancing."""
if scenario != "none":
boundaries = [round(t * diameter / SPEED) for t in (250, 260, 270, 280, 290, 300, 305)]
n = min([n] + [step - begin for step in boundaries if step > begin])
if scenario != "reverse":
return n, None
switch = round(300 * diameter / SPEED)
if begin < switch:
return min(n, switch - begin), None
if begin == switch:
handle.set_jet_amplitude(0, -JET_PEAK)
handle.set_jet_amplitude(1, JET_PEAK)
return n, dict(step=begin, tstar=300.0, amplitudes=[-JET_PEAK, JET_PEAK])
return n, None
def jet_diagnostics(rows, scenario):
"""Raw interval-weighted diagnostics only; no driven-flow qualification gate."""
windows = JET_WINDOWS + ([(300, 305)] if scenario == "reverse" else [])
result = []
for start, end in windows:
selected = [r for r in rows if start <= r["tstar_force"] < end]
if not selected:
continue
if any(2 * r["tstar_force"] - r["tstar"] < start - 1e-9
or r["tstar"] > end + 1e-9 for r in selected):
raise ValueError("Jet diagnostic interval crosses a window boundary")
weights = np.array([2 * (r["tstar"] - r["tstar_force"]) for r in selected])
record = dict(start_tstar=start, end_tstar=end, samples=len(selected),
covered_tstar=float(weights.sum()),
complete=bool(np.isclose(weights.sum(), end - start, rtol=0, atol=1e-9)))
for key in ("cd", "cl"):
values = np.array([r[key] for r in selected])
record[key] = dict(mean=float(np.average(values, weights=weights)),
min=float(values.min()), max=float(values.max()),
rms=float(np.sqrt(np.average(values**2, weights=weights))))
result.append(record)
return result
def helpers(source):
@@ -140,34 +39,26 @@ def helpers(source):
return h, periodic
def config(h, diameter, collision="SRT", jet_scenario="none"):
def config(h, diameter, collision="SRT"):
cfg, body, p = h.make_config(diameter, SPEED, collision, "neq_extrap", "zou_he_local")
cfg["method"]["outlet"]["srt_neq_damp"] = 0.5
if jet_scenario != "none":
if collision != "MRT":
raise ValueError("Public Jet scenarios require MRT")
cfg["method"]["ddf_shifting"] = False
return cfg, body, p
def plan(h, collision="SRT", observation_mode="last_base_step", jet_scenario="none", uniform_diameter=80, placement="wide"):
_, _, c = config(h, 40, collision, jet_scenario)
_, _, f = config(h, uniform_diameter, collision, jet_scenario)
bounds = PLACEMENTS[placement]
x0, y0, x1, y1 = bounds
def plan(h, collision="SRT", observation_mode="last_base_step"):
_, _, c = config(h, 40, collision)
_, _, f = config(h, 80, collision)
x0, y0, x1, y1 = BOUNDS
fine_active = 4 * (x1 - x0) * (y1 - y0)
coarse_uncovered = c["nx"] * c["ny"] - fine_active // 4
return dict(
status="prepared_not_run",
collision=collision,
jet_scenario=jet_scenario,
ddf_shifting=jet_scenario == "none",
observation_mode=observation_mode,
root_gpu_gates_required=True,
root=c,
uniform=f,
bounds_root_edge=list(bounds),
fine_origin_root_edge=[x0 - 2, y0 - 2],
bounds_root_edge=list(BOUNDS),
physical_patch_m=[
(x0 - 0.5) * c["dx"],
(y0 - 1) * c["dx"],
@@ -187,31 +78,19 @@ def plan(h, collision="SRT", observation_mode="last_base_step", jet_scenario="no
physical_viscosity_m2_s=0.001,
finest_dx_m=f["dx"],
finest_dt_s=f["dt"],
refined_finest_dx_m=c["dx"]/2,
refined_finest_dt_s=c["dt"]/2,
approximate_leaf_cell_ratio=(coarse_uncovered + fine_active)
/ (f["nx"] * f["ny"]),
approximate_collision_work_ratio=(coarse_uncovered + 2 * fine_active)
/ ((uniform_diameter/40) * f["nx"] * f["ny"]),
/ (2 * f["nx"] * f["ny"]),
cost_caveat="Geometry-only estimates include ghosts/solids; exclude block halos, transfers, observation and launch overhead. Not measured speedup.",
sampling_offset="Uniform nodes map to root edges X=.5+i*(40/D), Y=1+(j-.5)*(40/D). Refined centers are fine_origin_root_edge+(index+.5)*.5. Body, wall and source planes coincide; compare observables, not pointwise arrays.",
sampling_offset="For origin (38,22), fine physical x=(j+75.5)*dx80 versus uniform i*dx80: half-fine-cell x offset. Fine physical y=(k+42.5)*dx80 equals uniform (l-.5)*dx80 at l=k+43: y samples align. Body, wall and source planes coincide.",
outlet=(
"SRT pressure NEQ, all nine fneq damped by .5, no backflow clamp; noncanonical DFG outlet"
if collision == "SRT" else
"MRT pressure NEQ, unknowns q2/6/8 extrapolated; no backflow clamp; noncanonical DFG outlet"
),
modes={"pilot_tstar": 5.0, "full_tstar": 305.0 if jet_scenario == "reverse" else 300.0},
modes={"pilot_tstar": 5.0, "full_tstar": 300.0},
observation_dense_tstar=0.02,
**(dict(jets=dict(
uniform_origin_node=f["center"], refined_origin_root_edge=[80.5, 81.0],
angles_rad=[math.pi / 2, 3 * math.pi / 2], half_width_rad=math.pi / 12,
radial_extent_over_radius=[0.0, 1.005],
field="Radial(outward)", profile="parabolic", condition="velocity",
initial_amplitudes=[0.0, 0.0] if jet_scenario == "zero" else [JET_PEAK, -JET_PEAK],
reversal_tstar=300.0 if jet_scenario == "reverse" else None,
diagnostic_windows_tstar=JET_WINDOWS + ([(300, 305)] if jet_scenario == "reverse" else []),
transfer="constant", driven_qualification="not assessed",
)) if jet_scenario != "none" else {}),
)
@@ -247,7 +126,7 @@ def initial_state(shape, origin, spacing, height=164.0, speed=SPEED, root=False)
return w * (1 + 3 * cu + 4.5 * cu * cu - 1.5 * velocity * velocity)
def host_geometry(source, h, collision="SRT", jet_scenario="none", placement="wide"):
def host_geometry(source, h, collision="SRT"):
"""Production donor/transfer and complete cut-link checks, without CUDA."""
from CelerisLab.config import load_lbm_config
from CelerisLab.lbm.refinement import FixedPatch2D, prepare_fine_boundary
@@ -260,12 +139,12 @@ def host_geometry(source, h, collision="SRT", jet_scenario="none", placement="wi
from CelerisLab.body.geometry.circle import CircleGeometry
from CelerisLab.body.objects import SimObject
cfgdict, _, _ = config(h, 40, collision, jet_scenario)
cfgdict, _, _ = config(h, 40, collision)
with TemporaryDirectory() as tmp:
p = Path(tmp) / "cfg.json"
p.write_text(json.dumps(cfgdict))
cfg = load_lbm_config(str(p))
pair = FixedPatch2D.from_config(cfg, PLACEMENTS[placement])
pair = FixedPatch2D.from_config(cfg, BOUNDS)
layout = BlockLayout2D.build(cfg.ny, cfg.nx, *BASE_BLOCK)
validate_channel_config(cfg, [BASE_BLOCK, FINE_BLOCK])
targets = blocked_base_tables(pair, layout, np.argsort(pair.coalesce_coarse))[1]
@@ -274,41 +153,18 @@ def host_geometry(source, h, collision="SRT", jet_scenario="none", placement="wi
body = SimObject(
0, geometry=CircleGeometry(80.5, 81.0, 20.0), center=(80.5, 81.0), radius=20.0
)
host = prepare_fine_boundary(
cfg, pair, (body,), jets=public_jets((80.5, 81.0), 20.0, jet_scenario),
_shifted_blocked=jet_scenario == "none",
)
host = prepare_fine_boundary(cfg, pair, (body,), _shifted_blocked=True)
return cfg, pair, body, host
def verify_source(source, collision="SRT", observation_mode="last_base_step", jet_scenario="none", observe_cv=False):
def verify_source(source, collision="SRT", observation_mode="last_base_step"):
if collision not in ("SRT", "MRT"):
raise ValueError("Matched collision must be SRT or MRT")
if observation_mode not in ("last_base_step", "window"):
raise ValueError("Unknown refined observation mode")
if observe_cv and jet_scenario == "none":
raise ValueError("--observe-cv requires an explicit public Jet scenario")
name = ("source_manifest_window.json" if observation_mode == "window" else
"source_manifest.json" if collision == "SRT" else "source_manifest_mrt.json")
expected = json.loads((HERE / "data/refined_dfg" / name).read_text())
if jet_scenario != "none":
if collision != "MRT" or observation_mode != "window":
raise ValueError("Public Jet scenarios require MRT and --exchange-window")
import subprocess
sys.path.insert(0, str(HERE))
from source_provenance import checkout_provenance
paths = set(expected["sha256"])
if observe_cv:
paths.add("tests/validation/run_jet_circle_cv.py")
paths.update(subprocess.check_output(
["git", "-C", str(source), "ls-files", "src"], text=True).splitlines())
return dict(
source_capture="current checkout, not historical DFG qualification",
**checkout_provenance(source), observation_mode=observation_mode,
sha256={name: hashlib.sha256((source / name).read_bytes()).hexdigest()
for name in sorted(paths)},
)
for name, digest in expected["sha256"].items():
if hashlib.sha256((source / name).read_bytes()).hexdigest() != digest:
raise RuntimeError("Source mismatch: " + name)
@@ -363,32 +219,29 @@ def run_case(a, h, periodic, case):
from contextlib import ExitStack
refined = case == "refined"
cfgdict, bodydict, p = config(h, 40 if refined else a.uniform_diameter, a.collision, a.jet_scenario)
cap = 5.0 if a.mode == "pilot" else (305.0 if a.jet_scenario == "reverse" else 300.0)
cfgdict, bodydict, p = config(h, 40 if refined else 80, a.collision)
cap = 5.0 if a.mode == "pilot" else 300.0
max_steps = math.ceil(cap * p["diameter"] / SPEED)
rows = []
healthy = True
step_seconds = 0.0
cv_seconds, cv_samples = 0.0, 0
amplitude_changes = []
started = time.monotonic()
check_deadline(a.deadline)
dest = a.output / case
dest.mkdir()
with ExitStack() as stack:
cv_out = stack.enter_context((dest / "cv_history.jsonl").open("w")) if a.observe_cv else None
if refined:
cfg, pair, body, host = host_geometry(a.source, h, a.collision, a.jet_scenario, a.placement)
cfg, pair, body, host = host_geometry(a.source, h, a.collision)
context = stack.enter_context(CudaContext(0))
backend = stack.enter_context(
FixedPatchStepper(
cfg,
BOUNDS,
context=context,
coarse_boundary="channel",
refinements=[PLACEMENTS[a.placement]],
level_blocks=[BASE_BLOCK, FINE_BLOCK],
level_objects=[(), (body,)],
level_jets=[(), public_jets((80.5, 81.0), 20.0, a.jet_scenario)],
base_block=BASE_BLOCK,
fine_block=FINE_BLOCK,
fine_objects=(body,),
observe_raw_exchange=True,
**({"observe_window_exchange": True} if a.observation_mode == "window" else {}),
)
@@ -421,9 +274,6 @@ def run_case(a, h, periodic, case):
sim = stack.enter_context(
Simulation(str(tmp / "lbm.json"), str(tmp / "body.json"), device_id=0)
)
for index, jet in enumerate(public_jets(p["center"], p["radius"], a.jet_scenario)):
if sim.add_jet(jet) != index:
raise RuntimeError("Unexpected public Jet registration index")
sim.initialize()
probe_p = p
fluid = (sim.field.flag.reshape(p["ny"], p["nx"]) & FLUID) != 0
@@ -440,10 +290,6 @@ def run_case(a, h, periodic, case):
else 0.5
)
n = min(max(1, round(width * p["diameter"] / SPEED)), max_steps - begin)
n, change = jet_interval(backend if refined else sim, a.jet_scenario,
begin, n, p["diameter"])
if change is not None:
amplitude_changes.append(change)
impulse = np.zeros(2)
tick = time.monotonic()
if refined:
@@ -513,19 +359,6 @@ def run_case(a, h, periodic, case):
/ SPEED,
**h.pressure_probes(rho, fluid, probe_p),
)
if a.jet_scenario != "none":
row.update(step_start=begin, tstar_start=begin * SPEED / p["diameter"],
interval_steps=n, impulse_x=float(impulse[0]),
impulse_y=float(impulse[1]))
if a.observe_cv and cv_selected(begin+n, p["diameter"], a.mode):
tick = time.monotonic()
record = cv_snapshot(rho, ux, uy, fluid,
pair.fine_origin if refined else uniform_origin(p["diameter"]),
refined, begin, n, p["diameter"], impulse, a.placement)
cv_out.write(json.dumps(record, allow_nan=False) + "\n")
cv_out.flush()
cv_samples += 1
cv_seconds += time.monotonic() - tick
check_deadline(a.deadline)
ensure_finite(row)
rows.append(row)
@@ -569,24 +402,14 @@ def run_case(a, h, periodic, case):
steps=begin,
startup_seconds=startup,
step_seconds=step_seconds,
observation_and_overhead_seconds=time.monotonic() - started - startup - step_seconds,
wall_seconds=time.monotonic() - started,
force="raw stationary-body link momentum reaction, per-unit-depth; average over entire observation interval; normalized in each base lattice",
mass_units="rho_reference * m^2 per unit depth",
flux_units="rho_reference * m^2/s per unit depth",
pressure="postcollision end-sample; physical pressure difference / (rho_reference * 1 m/s squared)",
suite_validated=False,
**(periodic.assess(rows) if a.jet_scenario in ("none", "zero") else
dict(periodic=False, checks={}, cycles=[])),
**periodic.assess(rows),
)
if a.jet_scenario != "none":
result.update(jet_diagnostic_windows=jet_diagnostics(rows, a.jet_scenario),
amplitude_changes=amplitude_changes,
pressure_classification=("DFG reference verdict retained, including pressure"
if a.jet_scenario == "zero" else "diagnostic only; no official DFG reference gate"))
if a.observe_cv:
result.update(cv_observation_seconds=cv_seconds, cv_samples=cv_samples,
cv_qualification="not assessed; scalar observations only")
if not healthy:
result["periodic"] = False
reference = json.loads(
@@ -602,8 +425,7 @@ def run_case(a, h, periodic, case):
else (
"pilot_complete"
if a.mode == "pilot"
else ("driven_diagnostics_complete" if a.jet_scenario in ("fixed", "reverse") else
"periodic" if result["periodic"] else "incomplete_periodicity")
else ("periodic" if result["periodic"] else "incomplete_periodicity")
)
)
(dest / "summary.json").write_text(json.dumps(result, indent=2, allow_nan=False))
@@ -642,39 +464,27 @@ def check_deadline(deadline):
)
def verify_pilot(path, manifest, collision="SRT", observation_mode="last_base_step", jet_scenario="none", observe_cv=False,
case_selection="both", uniform_diameter=80, placement="wide"):
def verify_pilot(path, manifest, collision="SRT", observation_mode="last_base_step"):
if path is None:
raise ValueError(
"Full comparison requires --pilot-results from a completed matched pilot"
)
previous = read_finite_json(path / "plan.json")
options = dict(case_selection=(case_selection, "both"), uniform_diameter=(uniform_diameter, 80), placement=(placement, "wide"))
if any(previous.get(k, default) != expected for k, (expected, default) in options.items()):
raise ValueError("Pilot case, resolution or placement differs")
if previous.get("observe_cv", False) != observe_cv:
raise ValueError("Pilot CV observation mode differs")
if previous.get("jet_scenario", "none") != jet_scenario:
raise ValueError("Pilot Jet scenario differs")
if previous.get("observation_mode") != observation_mode:
raise ValueError("Pilot observation mode differs")
if previous.get("collision") != collision:
raise ValueError("Pilot collision differs")
if previous["source_manifest"] != manifest or previous["bounds_root_edge"] != list(
PLACEMENTS[placement]
BOUNDS
):
raise ValueError("Pilot source or frozen geometry differs")
if previous.get("runner_sha256") != runner_hash():
raise ValueError("Pilot runner differs")
calibrated_seconds = 0.0
for case, diameter in selected_cases(case_selection, uniform_diameter):
for case, diameter in (("uniform", 80), ("refined", 40)):
summary = read_finite_json(path / case / "summary.json")
if (
any(summary.get(k, default) != expected for k, (expected, default) in options.items())
or summary.get("observe_cv", False) != observe_cv
or (observe_cv and summary.get("cv_samples") != 250)
or summary.get("jet_scenario", "none") != jet_scenario
or summary.get("observation_mode") != observation_mode
summary.get("observation_mode") != observation_mode
or summary.get("collision") != collision
or summary.get("case") != case
or summary.get("mode") != "pilot"
@@ -727,10 +537,7 @@ def verify_pilot(path, manifest, collision="SRT", observation_mode="last_base_st
raise ValueError("Unhealthy pilot observations")
ready = read_finite_json(path / case / "ready.json")
if (
any(ready.get(k, default) != expected for k, (expected, default) in options.items())
or ready.get("observe_cv", False) != observe_cv
or ready.get("jet_scenario", "none") != jet_scenario
or ready.get("observation_mode") != observation_mode
ready.get("observation_mode") != observation_mode
or ready.get("collision") != collision
or ready.get("case") != case
or ready.get("mode") != "pilot"
@@ -748,9 +555,9 @@ def verify_pilot(path, manifest, collision="SRT", observation_mode="last_base_st
or not 0 < stepping <= wall
):
raise ValueError("Invalid pilot calibration timings")
# Full duration is 60 (or 61 with reversal) times pilot; dense sampling makes
# Full physical duration is 60 times pilot; dense pilot sampling makes
# this conservative for the sparser early full observations. Not a guarantee.
calibrated_seconds += startup + (61 if jet_scenario == "reverse" else 60) * (wall - startup)
calibrated_seconds += startup + 60 * (wall - startup)
return 3 * calibrated_seconds
@@ -759,13 +566,6 @@ def main():
parser.add_argument("--exchange-window", action="store_true",
help="Opt in to refined window-ledger observations on the pinned candidate")
parser.add_argument("--collision", choices=["SRT", "MRT"], default="SRT")
parser.add_argument("--case", choices=["both", "uniform", "refined"], default="both")
parser.add_argument("--uniform-diameter", type=int, choices=[80, 160], default=80)
parser.add_argument("--placement", choices=list(PLACEMENTS), default="wide")
parser.add_argument("--jet-scenario", choices=["none", "zero", "fixed", "reverse"],
default="none", help="Opt in to public unshifted MRT Jets; reverse switches at t*=300 and ends at 305")
parser.add_argument("--observe-cv", action="store_true",
help="Record independent cropped-macro CV samples during pilot or full t*=290..300")
parser.add_argument("--source", type=Path, default=DEFAULT_SOURCE)
parser.add_argument("--output", type=Path, required=True)
parser.add_argument("--mode", choices=["plan", "pilot", "full"], default="plan")
@@ -777,26 +577,15 @@ def main():
help="Required explicit campaign wall-time ceiling for GPU execution",
)
a = parser.parse_args()
if a.uniform_diameter == 160 and a.case != "uniform":
raise ValueError("D160 requires --case uniform; no matched-resolution claim")
if a.placement == "compact" and a.case != "refined":
raise ValueError("Compact placement requires --case refined")
if (a.uniform_diameter != 80 or a.placement != "wide") and a.jet_scenario == "none":
raise ValueError("Resolution/placement variants require an explicit public Jet scenario")
a.source = a.source.resolve()
a.observation_mode = "window" if a.exchange_window else "last_base_step"
manifest = verify_source(a.source, a.collision, a.observation_mode, a.jet_scenario, a.observe_cv)
manifest = verify_source(a.source, a.collision, a.observation_mode)
h, periodic = helpers(a.source)
from source_provenance import checkout_provenance
a.provenance = checkout_provenance(a.source)
a.provenance.update(jet_scenario=a.jet_scenario, ddf_shifting=a.jet_scenario == "none")
a.provenance.update(case_selection=a.case, uniform_diameter=a.uniform_diameter, placement=a.placement)
if a.observe_cv:
a.provenance["observe_cv"] = True
calibration = (
verify_pilot(a.pilot_results, manifest, a.collision, a.observation_mode, a.jet_scenario, a.observe_cv,
a.case, a.uniform_diameter, a.placement)
verify_pilot(a.pilot_results, manifest, a.collision, a.observation_mode)
if a.mode == "full" else None
)
if a.mode != "plan" and (
@@ -813,31 +602,17 @@ def main():
if a.output.exists() and any(a.output.iterdir()):
raise ValueError("Output must be empty/new")
a.output.mkdir(parents=True, exist_ok=True)
specification = plan(h, a.collision, a.observation_mode, a.jet_scenario, a.uniform_diameter, a.placement)
specification = plan(h, a.collision, a.observation_mode)
specification.update(
source_manifest=manifest,
**a.provenance,
gates=periodic.GATES if a.jet_scenario in ("none", "zero") else None,
reference_gates=periodic.REFERENCE_GATES if a.jet_scenario in ("none", "zero") else None,
gates=periodic.GATES,
reference_gates=periodic.REFERENCE_GATES,
runner_sha256=runner_hash(),
wall_time_budget_seconds=budget,
full_pilot_calibration_seconds=calibration,
)
if a.observe_cv:
specification["cv_observation"] = dict(
full_tstar=[290, 300], pilot_tstar=[.02, 5], spacing_tstar=.02,
refined_contours_root=cv_contours(True, 40, a.placement).tolist(),
uniform_contours_root=cv_contours(False, a.uniform_diameter, a.placement).tolist(),
uniform_grid_origin_root=uniform_origin(a.uniform_diameter),
refined_grid_origin_root=specification["fine_origin_root_edge"],
cell_width_root={"uniform": 40/a.uniform_diameter, "refined": .5},
viscosity_root=.004, components=["mass", "Px", "Py"],
units="root lattice per unit depth; outward flux per root time",
interval="Impulse belongs to the interval ending at each snapshot; first retained endpoint (pilot .02, full 290) supplies initial inventory only: exclude its preceding impulse",
qualification="not assessed; trapezoidal integration and time-coarsening are offline",
)
if a.case != "uniform":
host_geometry(a.source, h, a.collision, a.jet_scenario, a.placement)
host_geometry(a.source, h, a.collision)
(a.output / "plan.json").write_text(json.dumps(specification, indent=2))
if a.mode == "plan":
return 0
@@ -846,9 +621,8 @@ def main():
"GPU execution blocked: root GPU gates approval and explicit device selection required"
)
results = []
cases = selected_cases(a.case, a.uniform_diameter)
a.deadline = time.monotonic() + budget
for case, _ in cases:
for case in ("uniform", "refined"):
try:
result = run_case(a, h, periodic, case)
except TimeoutError as exc:
@@ -876,12 +650,7 @@ def main():
status="pilot_only" if a.mode == "pilot" else "incomplete",
matched_case_pass=False,
)
if a.jet_scenario in ("fixed", "reverse"):
comparison.update(status=("pilot_only" if a.mode == "pilot" else "driven_diagnostics_complete")
if len(results) == len(cases) and all(r["healthy"] for r in results) else "invalid_state",
qualification="not assessed; execution completion is not physical acceptance",
jet_diagnostic_windows={r["case"]: r["jet_diagnostic_windows"] for r in results})
if a.case == "both" and len(results) == 2 and all(r["healthy"] and r["periodic"] for r in results):
if len(results) == 2 and all(r["healthy"] and r["periodic"] for r in results):
comparison.update(
status="periodic_comparison",
refined_vs_uniform=periodic.compare(
@@ -891,20 +660,14 @@ def main():
comparison["matched_case_pass"] = comparison["refined_vs_uniform"][
"reference_agreement"
]
if a.case != "both":
comparison.update(status="single_case_" + results[0]["status"],
own_reference_comparison=results[0].get("reference_comparison"))
(a.output / "comparison.json").write_text(
json.dumps(comparison, indent=2, allow_nan=False)
)
return (
0
if len(results) == len(cases)
if len(results) == 2
and all(r["healthy"] for r in results)
and (a.mode == "pilot" or comparison["matched_case_pass"]
or a.jet_scenario in ("fixed", "reverse")
or (a.case != "both" and results[0]["periodic"]
and results[0].get("reference_comparison", {}).get("reference_agreement", False)))
and (a.mode == "pilot" or comparison["matched_case_pass"])
else 2
)
@@ -1,6 +1,7 @@
"""New-source four-case repeat of 11901a7; frozen oracle and gates are unchanged."""
import argparse
import hashlib
import json
import math
from pathlib import Path
@@ -8,16 +9,25 @@ from pathlib import Path
from assess import BASELINE_FACTOR, FLOORS
from oracle import LIMITS, TIMES, U, rectangles
from run_case import (INITIALIZATION, sample_steps, NUMERICAL_REVISION, SOURCE_SHA256,
BUILD_CAPTURE_SHA256, REFERENCE_HARNESS)
BUILD_CAPTURE_SHA256, REFERENCE_HARNESS, SCALED_DIAGNOSTIC)
# Host-generated snapshots of a135252 at the frozen two local configurations.
# Host-generated snapshots of a135252 at the frozen local configurations.
# These describe expected inputs; actual sidecars are captured before cleanup.
BUILD_SOURCES = {
128: "803177416b7599ab89cc5afd35cf4a28a673b2f4bb8e8a6a1abc0b6d77610873",
256: "17ec5e60f87b840d3d13b8778bc8a3aecf485469c5a061af46c5cc19b73396cf",
512: "4e85e38098858ec95c137d1b1e96846a58d9cf3cc242b349a3ad7c8b8e3ce0aa",
}
CASES = ((100, 128, 1, "constant"), (100, 256, 1, "constant"),
(100, 128, 2, "constant"), (100, 128, 2, "projected_linear"))
REFERENCE_REVISION = "2cf9853952e52f59bea63cf5c1d3a1cd76e53eed"
# Audited 2cf9853 scalar receipts, archived at evidence commit 90849a55cad4a0da9b72747da7bfe6eb75962a44.
REFERENCE_RECEIPTS = {
"uniform128": "724efafc267eaa59dcc59e8d4c16177b67f6c6a08fd2732a481833237bb19cee",
"uniform256": "3c312a99ebf747a135674dd481b77455a3d2c9a406ca388f30524b37dad9bbe9",
"constant128": "2ee28efd1e81b2e28b7902b6c4f95bb2c1ea4e5f0ec484638fa5ae83dca34bba",
"projected128": "ee67b1d4d90a048c0d3d1a16447c6eab3d89c94d151f791306e373f96dd8b963",
}
NUMERICS = dict(lattice_model="D2Q9", collision="SRT", store_precision="FP32",
ddf_shifting=True, streaming="double_buffer", les_enabled=False,
boundary="periodic", block_shape=[8, 8],
@@ -73,7 +83,11 @@ def valid_builds(record, n, depth):
return True
def assess(records, expected_revision=None):
def assess(records, expected_revision=None, *, diagnostic=None):
if diagnostic not in (None, SCALED_DIAGNOSTIC):
raise ValueError("Unknown diagnostic")
base_n = 256 if diagnostic else 128
cases = tuple((re, n * base_n // 128, depth, scheme) for re, n, depth, scheme in CASES)
indexed, duplicates = {}, []
for record in records:
key = tuple(record.get(k) for k in ("re_L", "n", "depth", "explosion"))
@@ -81,9 +95,11 @@ def assess(records, expected_revision=None):
duplicates.append(str(key))
else:
indexed[key] = record
missing = [str(k) for k in CASES if k not in indexed]
checks = dict(complete_matrix=not missing, no_extra_cases=set(indexed) <= set(CASES),
missing = [str(k) for k in cases if k not in indexed]
checks = dict(complete_matrix=not missing, no_extra_cases=set(indexed) <= set(cases),
no_duplicate_cases=not duplicates, finite_receipts=finite_tree(records))
if diagnostic or any("diagnostic" in r for r in records):
checks["diagnostic_identity"] = all(r.get("diagnostic") == diagnostic for r in records)
sources = [r.get("source", {}) for r in records]
checks["same_source_and_harness"] = bool(sources) and len({
json.dumps(s, sort_keys=True) for s in sources}) == 1
@@ -106,9 +122,11 @@ def assess(records, expected_revision=None):
) and len(set(devices)) == 1
enabled = [r.get("early_pressure", {}).get("enabled") for r in records]
checks["same_early_sampling"] = bool(enabled) and all(type(v) is bool for v in enabled) and len(set(enabled)) == 1
if diagnostic:
checks["diagnostic_early_sampling"] = all(v is True for v in enabled)
shared_valid = all(checks.values())
complete, case_valid, early = {}, {}, []
for key in CASES:
for key in cases:
if key not in indexed:
continue
r = indexed[key]
@@ -135,7 +153,7 @@ def assess(records, expected_revision=None):
(("module", "__init__.py"), ("compiler", "cuda/compiler_v2.py"), ("kernel_root", "lbm/kernels")))
expected_patch = [] if depth == 1 else rectangles(n, depth)
checks[label + " patch"] = json.dumps(r.get("refinements")) == json.dumps(expected_patch)
cells = [n*n] if depth == 1 else [8704, 30720]
cells = [n*n] if depth == 1 else [17*n*n//32, 15*n*n//8]
hops = [16*n * 2**l for l in range(depth)]
work = r.get("workload", {})
checks[label + " workload"] = (
@@ -168,19 +186,22 @@ def assess(records, expected_revision=None):
comparisons, scheme_results = [], {}
for scheme in ("constant", "projected_linear"):
key = (100, 128, 2, scheme)
key = (100, base_n, 2, scheme)
for metric, floor in FLOORS.items():
amr, coarse, fine = (worst(k, metric) for k in (key, CASES[0], CASES[1]))
amr, coarse, fine = (worst(k, metric) for k in (key, cases[0], cases[1]))
budget = None if coarse is None else max(BASELINE_FACTOR * coarse, floor)
budget = budget if finite(budget) else None
ratio = None if amr is None or fine is None else amr / max(fine, 1e-30)
passed = amr is not None and budget is not None and amr <= budget
checks[f"baseline {scheme}/{metric}"] = passed
comparisons.append(dict(explosion=scheme, metric=metric, amr=amr,
uniform128=coarse, baseline_budget=budget, passed=passed,
uniform256=fine, amr_to_uniform256=ratio if finite(ratio) else None))
baseline_budget=budget, passed=passed,
**{f"uniform{base_n}": coarse, f"uniform{2*base_n}": fine,
f"amr_to_uniform{2*base_n}": ratio if finite(ratio) else None}))
if diagnostic:
comparisons[-1]["floor_dominates"] = None if coarse is None else floor >= BASELINE_FACTOR * coarse
baseline_passed = all(checks[f"baseline {scheme}/{metric}"] for metric in FLOORS)
valid = shared_valid and all(case_valid.get(k, False) for k in (CASES[0], CASES[1], key))
valid = shared_valid and all(case_valid.get(k, False) for k in (cases[0], cases[1], key))
scheme_results[scheme] = dict(passed=valid and baseline_passed,
valid_case_and_controls=valid, baseline_passed=baseline_passed)
return dict(passed=all(checks.values()), missing=missing, duplicates=duplicates, checks=checks,
@@ -190,19 +211,89 @@ def assess(records, expected_revision=None):
floors=FLOORS, baseline_factor=BASELINE_FACTOR,
main_statistic="maximum of four post-initial samples at t*=.12,.24,.36,.48",
early_statistic="sampled pressure maximum only, t*=k*.001875, k=0..64; not an all-step or continuous maximum",
finest_control="uniform256 and AMR/ uniform256 ratios are descriptive, not acceptance gates",
finest_control=f"uniform{2*base_n} and AMR/ uniform{2*base_n} ratios are descriptive, not acceptance gates",
scope="2D periodic Re100 smooth-decay diagnostic; no new algorithm, convergence-order or general AMR qualification")
def load_reference(paths):
"""Use the four audited historical files verbatim, never relabel them fresh controls."""
blobs = [path.read_bytes() for path in paths]
hashes = [hashlib.sha256(blob).hexdigest() for blob in blobs]
if len(hashes) != 4 or set(hashes) != set(REFERENCE_RECEIPTS.values()):
raise ValueError("Historical N128 receipt hashes differ from the audited 2cf9853 evidence")
return [json.loads(blob) for blob in blobs]
def resolution_trend(records, reference, expected_revision):
"""Signed changes are descriptive; they never replace the frozen acceptance budgets."""
old = assess(reference, REFERENCE_REVISION)
new = assess(records, expected_revision, diagnostic=SCALED_DIAGNOSTIC)
# Numerical screen failures still have useful raw errors; only malformed inputs block trends.
valid = all(v for result in (old, new) for k, v in result["checks"].items()
if not k.startswith("baseline ") and not k.endswith(" absolute"))
valid = valid and all(maximum(r["rows"], m) is not None for r in reference + records for m in LIMITS)
oracle = reference[0]["source"]["harness_sha256"].get("oracle.py") if valid else None
valid = valid and bool(oracle) and records[0]["source"]["harness_sha256"].get("oracle.py") == oracle
if not valid:
return dict(valid=False, per_time=[], worst_post_initial=[], uniform256_bridge=[])
key = lambda r: (r["re_L"], r["n"], r["depth"], r["explosion"])
before, after = {key(r): r for r in reference}, {key(r): r for r in records}
def change(role, metric, low, high, **extra):
ratio = high / low if low else None
percent = 100*(ratio-1) if ratio is not None else None
return dict(role=role, metric=metric, n128_campaign_error=low, n256_campaign_error=high,
signed_change=high-low, new_to_old=ratio if finite(ratio) else None,
ratio_unavailable_reason=None if finite(ratio) else "zero historical error" if not low else "overflow",
change_percent=percent if finite(percent) else None, **extra)
per_time, worst, bridge = [], [], []
for old_key, role in zip(CASES, ("uniform_root", "uniform_fine", "constant", "projected_linear")):
re, n, depth, scheme = old_key
low, high = before[old_key], after[(re, 2*n, depth, scheme)]
for metric in LIMITS:
per_time.extend(change(role, metric, a[metric], b[metric], tstar=a["tstar"])
for a, b in zip(low["rows"], high["rows"]))
worst.append(change(role, metric, maximum(low["rows"][1:], metric),
maximum(high["rows"][1:], metric)))
for a, b in zip(before[CASES[1]]["rows"], after[CASES[1]]["rows"]):
bridge.extend(dict(metric=m, tstar=a["tstar"], historical=a[m], fresh=b[m], signed_change=b[m]-a[m])
for m in LIMITS)
low, high = before[CASES[1]], after[CASES[1]]
bridge_identity = dict(main_rows_identical=low["rows"] == high["rows"],
early_pressure_rows_identical=low["early_pressure"]["rows"] == high["early_pressure"]["rows"])
same_runtime = reference[0]["runtime_identity"] == records[0]["runtime_identity"]
return dict(valid=True, reference_revision=REFERENCE_REVISION, reference_receipt_sha256=REFERENCE_RECEIPTS,
reference_scheme_results=old["scheme_results"], per_time=per_time, worst_post_initial=worst,
uniform256_bridge=bridge, uniform256_bridge_identity=bridge_identity,
same_recorded_runtime=same_runtime,
trend_interpretation_ready=all(bridge_identity.values()) and same_runtime,
scope="Historical same-production/oracle reference versus fresh controls; same-placement two-resolution trend only, not convergence order or phase robustness")
if __name__ == "__main__":
p = argparse.ArgumentParser(description=__doc__)
p.add_argument("files", type=Path, nargs="+")
p.add_argument("--output", type=Path, required=True)
p.add_argument("--expected-revision", required=True)
p.add_argument("--diagnostic", choices=[SCALED_DIAGNOSTIC])
p.add_argument("--reference-files", type=Path, nargs=4)
args = p.parse_args()
if args.output.exists():
p.error("Output already exists; choose a new path to retain prior evidence")
result = assess([json.loads(path.read_text()) for path in args.files], args.expected_revision)
if bool(args.diagnostic) != bool(args.reference_files):
p.error("--diagnostic scaled_n256 requires --reference-files; references are diagnostic-only")
records = [json.loads(path.read_text()) for path in args.files]
result = assess(records, args.expected_revision, diagnostic=args.diagnostic)
if args.diagnostic:
try:
reference = load_reference(args.reference_files)
except ValueError as exc:
p.error(str(exc))
result["diagnostic"] = args.diagnostic
result["resolution_trend"] = resolution_trend(records, reference, args.expected_revision)
result["checks"]["valid_historical_reference_and_trend"] = result["resolution_trend"]["valid"]
result["passed"] = all(result["checks"].values())
args.output.write_text(json.dumps(result, indent=2, allow_nan=False) + "\n")
print(json.dumps(result, indent=2, allow_nan=False))
raise SystemExit(0 if result["passed"] else 1)

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