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Author SHA1 Message Date
ClaudeandClaude Opus 5.5 32da2d7324 test: give the fault-guard fake backend its storage representation
download() now runs _check_storage(), which reads _ddf_shifting and the
per-level configs; the fake backend set neither. Both are set to the
unshifted default, so the download/step failure assertions run again.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-20 18:14:02 +00:00
ClaudeandClaude Opus 5.5 56004f4482 test: update stale fixtures for current sources (no src change)
- test_channel_root: owner is uint64; int() before -1 so the probe slot
  stays an integer under NumPy 1 value-based promotion.
- test_shifted_storage: build FP32 fixtures with FP32 NaN; np.where with a
  Python NaN promoted to FP64 under NumPy 1, so the shifted FP32 contract
  rejected the fixture before the intended checks.
- test_block_stepper: fake backend sets _ddf_shifting (unshifted).
- test_fine_surface_gpu: set _boundary_hosts/_level_jets; fine_boundary
  is now a read-only view over the level lists.
- test_refinement_followup: set _layouts (fine_layout is a read-only
  view); a pair tau that disagrees with its level config is now rejected
  by hierarchy._check_chain before the per-level omega/tau check.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-20 13:51:12 +00:00
107 changed files with 1493 additions and 3806 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
View File
@@ -25,7 +25,7 @@ under the alternate compile branch.
- No LES, no external forcing (`d_params` force fields stay zero).
- Shifted Jets stay SRT-only: `body/jets.py` keeps its existing guard. This extension does not
provide shifted MRT Jets.
- `PeriodicBlockStepper` (uniform blocked stepper) remained SRT-only; it was removed in 8e1feff and its single-level capability, still SRT-only, is `FixedPatchStepper(refinements=[])`.
- `PeriodicBlockStepper` (uniform blocked stepper) remains SRT-only.
## Evidence status
CPU: `tests/unit/test_refinement_mrt.py` (host guards, source contract). GPU:
+1 -1
View File
@@ -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
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@@ -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
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@@ -1,25 +0,0 @@
# Device state lifecycle (uniform Simulation, 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.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`; every `FixedPatchStepper` level, including the
single level of `refinements=[]`): `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
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@@ -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` |
| Single blocked level `FixedPatchStepper(refinements=[], level_blocks=[(by, bx)], level_objects=[circles])` (replaces `PeriodicBlockStepper`, removed in 8e1feff) | doubly periodic, SRT only, no LES/Jets/projection/exchange observation, stationary passive circles; `download()` returns a 1-tuple | `lbm/refinement_stepper.py` `_check_levels`, `FixedPatchStepper.__init__`; `lbm/blocks.py` `static_circle_tables` |
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`.
-59
View File
@@ -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.
+10 -12
View File
@@ -1,9 +1,9 @@
"""Public API demo: fixed 2:1 patch with a stationary, optionally actuated circle.
From this checkout, after checking the selected physical GPU is idle:
PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_patch_circle.py
... --speed -0.002 --mode slot_reservoir
Both levels use blocked storage (--base-block, --fine-block tiles).
PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_patch_circle.py --fine-block 16 20
... --speed -0.002 --fine-block 16 20 --mode slot_reservoir
Omit --fine-block for the (equivalent) dense fine storage.
A short smoke run (default 128 coarse steps): it shows setup, stepping and
fluid-only diagnostics, not a developed flow, accuracy or long-time stability.
@@ -71,10 +71,8 @@ def main():
parser.add_argument("--mode", choices=("periodic", "slot_reservoir"), default="periodic")
parser.add_argument("--speed", type=float, default=.002,
help="normal surface velocity, coarse lattice units (+ blows, - sucks, 0 passive)")
parser.add_argument("--base-block", type=int, nargs=2, metavar=("BY", "BX"), default=(12, 8),
help="root tile; must divide the 24 x 32 root")
parser.add_argument("--fine-block", type=int, nargs=2, metavar=("BY", "BX"), default=(16, 20),
help="fine tile; must divide the whole fine allocation (32 x 40 here)")
parser.add_argument("--fine-block", type=int, nargs=2, metavar=("BY", "BX"),
help="blocked fine storage; must divide the whole fine allocation (32 x 40 here)")
parser.add_argument("--steps", type=int, default=128)
args = parser.parse_args()
if args.steps < 0:
@@ -88,20 +86,20 @@ def main():
body = SimObject(0, geometry=CircleGeometry(*CENTER, RADIUS), center=CENTER, radius=RADIUS,
surface_actuation=spec)
cfg = config(args.mode)
fine_block = tuple(args.fine_block) if args.fine_block else None
# 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=[tuple(args.base_block), tuple(args.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.
rest = np.asarray(compute_feq_d2q9(1.0, 0.0, 0.0), np.float32)[:, None, None]
run.initialize(np.broadcast_to(rest, (9, *p.coarse_shape)),
np.broadcast_to(rest, (9, *p.fine_shape)))
storage = f"blocked root {tuple(args.base_block)} fine {tuple(args.fine_block)}"
print(f"mode={args.mode} storage={storage} speed={args.speed:+g} "
storage = f"blocked {fine_block}" if fine_block else "dense"
print(f"mode={args.mode} fine storage={storage} speed={args.speed:+g} "
f"(fine allocation {p.fine_shape[0]}x{p.fine_shape[1]}, fine origin {p.fine_origin})")
masks = leaf_masks(run, args.mode)
start = leaf_diagnostics(*run.download(), masks)
+3 -6
View File
@@ -31,7 +31,6 @@ from CelerisLab.lbm.refinement import ACTIVE
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
BOUNDS, AMPLITUDE, WIDTH = (16, 4, 32, 28), .02, 12
LEVEL_BLOCKS = [(12, 8), (8, 8)] # blocked storage: 48x48 root, 56x40 fine window
TIMES, MAX_MACH, MAX_SECONDS = (0, 300, 1200), .1, 120
@@ -133,8 +132,7 @@ def main():
lattice_model='D2Q9', collision='SRT', streaming='double_buffer',
store_precision='FP32', ddf_shifting=False, les_enabled=False)
report = dict(config=dict(nx=48, ny=48, bounds=BOUNDS, W=WIDTH, A=AMPLITUDE, nu=.1,
rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir',
level_blocks=LEVEL_BLOCKS),
rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
guards=dict(check_every=50, positive_density=True, finite=True,
max_Mach=MAX_MACH, max_seconds=MAX_SECONDS,
timing='cooperative checks, not an exact interruption deadline'),
@@ -150,9 +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],
level_blocks=LEVEL_BLOCKS) 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
+14 -19
View File
@@ -11,7 +11,7 @@ Responsibilities:
Design::
Packed ``obs`` layout matches ``generate_config(..., n_objects=count)`` and
``config_obs.h`` macros. Host sizing uses :func:`~CelerisLab.cuda.compiler.obs_layout`.
``config_obs.h`` macros. Host sizing uses :func:`~CelerisLab.cuda.compiler_v2.obs_layout`.
Pending edits are lightweight: only the "intent" (add / remove) is stored.
All derived quantities (flags, compact lists, GPU buffers) are built at
@@ -27,8 +27,8 @@ 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 ..cuda.compiler import obs_layout
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 (
FLUID, SOLID,
@@ -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
@@ -7,7 +7,7 @@ Two JSON files:
config_body.json – object list
LBMConfig / BodyConfig are plain dataclasses; they translate to
macro dicts consumed by `cuda/compiler.py` for header generation.
macro dicts consumed by `cuda/compiler_v2.py` for header generation.
"""
import json
+2 -2
View File
@@ -60,14 +60,14 @@ 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.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
↓ load_lbm_config()
config.py:LBMConfig (读取 + 校验)
↓ to_macros()
cuda/compiler.py (独立构建目录中生成 config/*.h)
cuda/compiler_v2.py (独立构建目录中生成 config/*.h)
↓
config_grid.h → NX, NY, NZ, NT, LATTICE_MODEL;
DIM / NQ 由 LATTICE_MODEL 推导写入(与 grid.lattice_model 一致,非 JSON 顶层字段)
+1 -1
View File
@@ -1,4 +1,4 @@
"""CUDA build helpers (compilation itself does not need a live context)."""
from . import compiler
from . import compiler_v2 as compiler
__all__ = ["compiler"]
@@ -1,14 +1,11 @@
# CelerisLab/cuda/compiler.py
# CelerisLab/cuda/compiler_v2.py
"""
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, 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)
+1 -1
View File
@@ -2,7 +2,7 @@
"""Packed ``obs`` buffer layout for force / torque / sensor telemetry.
Usage::
Host code (e.g. ``ObjectManager``) and ``compiler.generate_config`` must use
Host code (e.g. ``ObjectManager``) and ``compiler_v2.generate_config`` must use
the same ``dim`` and ``n_objects`` so allocation sizes match device macros.
Design::
+286
View File
@@ -0,0 +1,286 @@
# CelerisLab/lbm/block_stepper.py
"""Opt-in periodic backend for one BlockLayout2D level, optional static circles.
D2Q9/SRT/FP32 unforced double buffers. Each step refreshes every halo from
its owner core, then pulls/collides core cells into the spare buffer, then
swaps. Only halo pair tables are uploaded; dense ownership stays on the host.
The caller owns the CudaContext and must close this backend before it.
Optional ``objects`` are stationary passive circles (static linear BFL via
receiver-local staging: halo refresh -> cut links -> pull, no copy between).
No force/actuation readout, motion, walls, refinement, checkpoint or runtime
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
import pycuda.driver as cuda
from ..cuda import compiler_v2 as compiler
from .blocks import NQ, BlockLayout2D, blocked_link_tables
from .descriptors import D2Q9_EX, D2Q9_EY, FLUID, SOLID
from .population_storage import _StoredPopulations, _encode_physical, _decode_stored
MAX_GRID_DIM = 65535 # CUDA gridDim.y/z limit (rows, blocks)
def _static_circles(layout, objects):
"""Host tables for stationary circles; rejects before any CUDA work.
Every periodic neighbor of every fluid core is inspected, including domain
edges that CircleGeometry does not enumerate, so clipped or incomplete
geometry cannot pass. Each physical link has one receiver-owning block.
"""
from ..body.geometry.circle import CircleGeometry
ny, nx = layout.shape
flags = np.full(ny * nx, FLUID, np.uint16)
for obj in objects:
if (type(obj.geometry) is not CircleGeometry or obj.is_sensor or obj.is_force_region
or obj.surface_actuation is not None
or any(getattr(obj.state, name) != 0 for name in ("vx", "vy", "omega"))
or any(vars(obj.control).values())):
raise ValueError("Block bodies must be stationary passive circles")
cx, cy = obj.geometry.center
radius = obj.geometry._radius
if not np.isfinite([cx, cy, radius]).all() or radius <= 0:
raise ValueError("Block circle center/radius must be finite with radius > 0")
mask = obj.geometry.build_flag_mask(nx, ny)
solid = (mask & SOLID) != 0
if not solid.any() or np.any(flags[solid] & SOLID):
raise ValueError("Block circles must be resolved and disjoint")
flags[solid] = mask[solid]
solid = ((flags & SOLID) != 0).reshape(ny, nx)
if solid[[0, -1]].any() or solid[:, [0, -1]].any():
raise ValueError("Block circles must not touch the domain edge")
links = [link for obj in objects
for link in obj.geometry.build_cut_links(nx, ny, domain_flags=flags)]
def source(r, q):
y, x = divmod(r, nx)
return (y + D2Q9_EY[q]) % ny, (x + D2Q9_EX[q]) % nx
receivers = {(int(link.fluid_idx), int(link.dir)) for link in links}
required = {(int(r), q) for r in np.flatnonzero(~solid.ravel())
for q in range(1, NQ) if solid[source(r, q)]}
if len(receivers) != len(links) or receivers != required:
raise ValueError("Cut links must cover every fluid pull from a solid exactly once")
tables, _ = blocked_link_tables(
layout, flags, np.array([link.fluid_idx for link in links], np.uint32),
np.array([link.dir for link in links], np.uint8),
np.array([link.q for link in links], np.float32),
np.array([link.fallback for link in links], np.uint8))
return dict(solid=solid, **tables)
class PeriodicBlockStepper:
"""G->G stepping of Q-major (9, ny, nx) postcollision populations.
On a device/launch failure the instance becomes unusable: close and
recreate it rather than assuming a partially advanced buffer rolled back.
"""
def __init__(self, cfg, layout, *, context, objects=()):
if not isinstance(layout, BlockLayout2D) or layout.periodic != (True, True):
raise ValueError("PeriodicBlockStepper requires a doubly periodic BlockLayout2D")
checked = replace(cfg)
checked.validate()
if (not checked.is_d2q9 or checked.collision != "SRT"
or checked.streaming != "double_buffer" or checked.store_precision != "FP32"
or checked.les_enabled
or (checked.ny, checked.nx) != layout.shape):
raise ValueError("PeriodicBlockStepper requires matching D2Q9/SRT/FP32/"
"double_buffer config without LES")
ly, lx = layout.local_shape
pairs = len(layout.halo_dst)
tpb = checked.threads_per_block
if layout.nblocks > MAX_GRID_DIM or ly > MAX_GRID_DIM or not 0 < pairs < 2**31:
raise ValueError("block count, block rows or halo pairs exceed launch limits")
objects = tuple(objects) # an empty iterable takes the body-free path
self.boundary = _static_circles(layout, objects) if objects else None
links = 0 if self.boundary is None else len(self.boundary["cell"])
if links >= 2**31:
raise ValueError("cut links exceed launch limits")
self._ddf_shifting = bool(checked.ddf_shifting)
self.layout = layout
self.ctx = context
self._links = links
self._link_grid = ((links + tpb - 1) // tpb, 1)
# Wall/slot fields are not applied; neutralize them like the fine patch level.
self._local_cfg = replace(checked, nx=lx, ny=ly, y_wall_bc="bounce_back", top_wall_bc="velocity",
wall_slot_width=0, wall_normal_velocity=0.0, velocity=0.0)
self._block = (tpb, 1, 1)
self._grid = ((lx + tpb - 1) // tpb, ly, layout.nblocks)
self._copy_grid = ((pairs + tpb - 1) // tpb, 1)
self._bytes = int(np.prod(layout.blocked_shape)) * 4
self._lock = RLock()
self._status = "new"
self._step_count = 0
self._allocations = []
self._stream = self._module = self._copy = self._step = self._curved = None
self._tables = {}
with self.ctx.activate():
try:
free, _ = cuda.mem_get_info()
tables = sum(a.nbytes for k, a in (self.boundary or {}).items() if k != "solid")
if 2 * self._bytes + layout.halo_dst.nbytes + layout.halo_src.nbytes + tables > free:
raise MemoryError("blocked buffers exceed free device memory")
self._stream = cuda.Stream()
config = self._local_cfg
config.validate()
if not np.isclose(config.omega, 1 / (3 * checked.viscosity + .5), rtol=1e-14, atol=0):
raise RuntimeError("block omega/tau mismatch")
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)
self._dst = self._upload(layout.halo_dst)
self._src = self._upload(layout.halo_src)
self._copy = module.get_function("BlockHaloCopy")
self._step = module.get_function("BlockStep")
if self.boundary is not None:
self._tables = {k: self._upload(a) for k, a in self.boundary.items() if k != "solid"}
self._curved = module.get_function("BlockCurvedBoundary")
except BaseException:
try:
self.close()
except Exception:
pass # Preserve the original construction failure.
raise
def _allocate(self, size):
pointer = cuda.mem_alloc(size)
self._allocations.append(pointer)
return pointer
def _upload(self, array):
array = np.ascontiguousarray(array)
pointer = self._allocate(array.nbytes)
cuda.memcpy_htod(pointer, array)
return pointer
def _require(self, *states):
if self._status not in states:
raise RuntimeError(f"Block stepper is {self._status}; expected {' or '.join(states)}")
@property
def step_count(self):
return self._step_count
def initialize(self, g):
"""Upload dense G_0; the spare buffer starts NaN so stale halos cannot hide."""
with self._lock, self.ctx.activate():
self._require("new", "ready")
dense = np.array(g, dtype=np.float64 if self._ddf_shifting else np.float32,
order="C", copy=True)
if dense.shape != (NQ, *self.layout.shape):
raise ValueError("Expected a Q-major (9, ny, nx) array")
fluid = np.ones(self.layout.shape, bool) if self.boundary is None else ~self.boundary["solid"]
if not np.isfinite(dense[:, fluid]).all() or (dense[:, fluid].sum(axis=0) <= 0).any():
raise ValueError("Fluid populations must be finite with positive density")
dense[:, ~fluid] = np.nan # Solid cores are deliberately invalid.
encoded = _encode_physical(dense, self._ddf_shifting)
values = encoded[:, fluid]
if (not np.isfinite(values).all()
or (values.sum(axis=0, dtype=np.float64) + int(self._ddf_shifting) <= 0).any()):
raise ValueError("Stored fluid populations must be finite with positive density")
blocked = self.layout.to_blocked(encoded)
spare = np.full_like(blocked, np.nan)
try:
cuda.memcpy_htod(self._current, blocked)
cuda.memcpy_htod(self._spare, spare)
self._step_count = 0
self._status = "ready"
except BaseException:
self._status = "failed"
raise
def step(self, n=1):
"""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")
kw = dict(block=self._block, stream=self._stream)
try:
self._status = "advancing"
for _ in range(n):
self._copy(self._current, self._dst, self._src,
np.uint32(len(self.layout.halo_dst)), grid=self._copy_grid, **kw)
if self._curved is not None:
t = self._tables
self._curved(self._current, t["block"], t["cell"], t["dir"], t["q"],
t["fallback"], np.uint32(self._links), np.uintp(0), # no actuation
np.uintp(0), np.uintp(0), np.uintp(0), # no observation
grid=self._link_grid, **kw)
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._stream.synchronize()
self._current, self._spare = self._spare, self._current
self._step_count += 1
self._status = "ready"
except BaseException:
self._status = "failed"
raise
def download(self):
"""Return physical core populations (FP64 when shifted); no host cache."""
snapshot = self._download_raw()
return _decode_stored(snapshot.values[0], snapshot.shifted)
def _download_raw(self):
"""Return one tagged dense FP32 population array without conversion."""
with self._lock, self.ctx.activate():
self._require("ready")
blocked = np.empty(self.layout.blocked_shape, np.float32)
try:
cuda.memcpy_dtoh(blocked, self._current)
except BaseException:
self._status = "failed"
raise
return _StoredPopulations((self.layout.to_dense(blocked),), self._ddf_shifting)
def close(self):
"""Release owned resources; retain them for retry if context activation fails."""
with self._lock:
if self._status == "closed":
return
self._status = "failed"
with self.ctx.activate():
self._status = "closed"
error = None
try:
if self._stream is not None:
self._stream.synchronize()
except Exception as exc:
error = exc
self._copy = self._step = self._curved = self._module = None
self._tables = {}
for pointer in self._allocations:
try:
pointer.free()
except Exception as exc:
error = error or exc
self._allocations.clear()
self._stream = None
if error is not None:
raise error
def __enter__(self):
return self
def __exit__(self, *exc):
try:
self.close()
except Exception:
if exc[0] is None:
raise
+1 -82
View File
@@ -31,7 +31,7 @@ receiver-local boundary values: the solid's owner-core copy of that slot may
be stale, which is distinct from the unique core ownership of stored state.
No moving geometry is implied.
"""
from dataclasses import dataclass, replace
from dataclasses import dataclass
from numbers import Integral
from types import SimpleNamespace
@@ -373,84 +373,3 @@ def blocked_link_tables(layout, flags, fluid_idx, dir, q, fallback):
dir=columns[1].astype(np.uint8), q=columns[2].astype(np.float32),
fallback=columns[3].astype(np.uint8))
return tables, mapped
# One blocked level as FixedPatchStepper builds and launches it (any depth). Raw argument orders of the blocked.cu kernels live only here.
def level_config(cfg, layout, tau):
"""Kernel config of one blocked level: NX/NY = block window incl. halo.
Physical wall/slot/inlet fields are neutralized; a blocked root gets them
from its module globals (d_block_wall/d_block_channel) instead.
"""
ly, lx = layout.local_shape
local = replace(cfg, nx=lx, ny=ly, y_wall_bc="bounce_back", top_wall_bc="velocity",
wall_slot_width=0, wall_normal_velocity=0.0, velocity=0.0)
local.validate()
if not np.isclose(local.omega, 1 / tau, rtol=1e-14, atol=0):
raise RuntimeError("block level omega/tau mismatch")
return local
def launch_halo_copy(kernel, buffer, dst, src, count, *, block, stream):
"""BlockHaloCopy over ``count`` uploaded (dst, src) block-cell pairs."""
kernel(buffer, dst, src, np.uint32(count),
grid=((count + block[0] - 1) // block[0], 1), block=block, stream=stream)
def launch_curved_boundary(kernel, buffer, tables, count, *, block, stream,
velocity=None, rx=None, ry=None, raw=None):
"""BlockCurvedBoundary on uploaded link tables; None = no actuation/observation."""
none = np.uintp(0)
kernel(buffer, tables["block"], tables["cell"], tables["dir"], tables["q"], tables["fallback"],
np.uint32(count), none if velocity is None else velocity,
none if rx is None else rx, none if ry is None else ry, none if raw is None else raw,
grid=((count + block[0] - 1) // block[0], 1), block=block, stream=stream)
def static_circle_tables(layout, objects):
"""Host tables for stationary circles; rejects before any CUDA work.
Every periodic neighbor of every fluid core is inspected, including domain
edges that CircleGeometry does not enumerate, so clipped or incomplete
geometry cannot pass. Each physical link has one receiver-owning block.
"""
from ..body.geometry.circle import CircleGeometry
from .descriptors import FLUID, SOLID
ny, nx = layout.shape
flags = np.full(ny * nx, FLUID, np.uint16)
for obj in objects:
if (type(obj.geometry) is not CircleGeometry or obj.is_sensor or obj.is_force_region
or obj.surface_actuation is not None
or any(getattr(obj.state, name) != 0 for name in ("vx", "vy", "omega"))
or any(vars(obj.control).values())):
raise ValueError("Block bodies must be stationary passive circles")
cx, cy = obj.geometry.center
radius = obj.geometry._radius
if not np.isfinite([cx, cy, radius]).all() or radius <= 0:
raise ValueError("Block circle center/radius must be finite with radius > 0")
mask = obj.geometry.build_flag_mask(nx, ny)
solid = (mask & SOLID) != 0
if not solid.any() or np.any(flags[solid] & SOLID):
raise ValueError("Block circles must be resolved and disjoint")
flags[solid] = mask[solid]
solid = ((flags & SOLID) != 0).reshape(ny, nx)
if solid[[0, -1]].any() or solid[:, [0, -1]].any():
raise ValueError("Block circles must not touch the domain edge")
links = [link for obj in objects
for link in obj.geometry.build_cut_links(nx, ny, domain_flags=flags)]
def source(r, q):
y, x = divmod(r, nx)
return (y + D2Q9_EY[q]) % ny, (x + D2Q9_EX[q]) % nx
receivers = {(int(link.fluid_idx), int(link.dir)) for link in links}
required = {(int(r), q) for r in np.flatnonzero(~solid.ravel())
for q in range(1, NQ) if solid[source(r, q)]}
if len(receivers) != len(links) or receivers != required:
raise ValueError("Cut links must cover every fluid pull from a solid exactly once")
tables, _ = blocked_link_tables(
layout, flags, np.array([link.fluid_idx for link in links], np.uint32),
np.array([link.dir for link in links], np.uint8),
np.array([link.q for link in links], np.float32),
np.array([link.fallback for link in links], np.uint8))
return dict(solid=solid, **tables)
+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
View File
@@ -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,
+186 -167
View File
@@ -14,16 +14,15 @@ from threading import RLock
import numpy as np
import pycuda.driver as cuda
from ..cuda import compiler
from .blocks import (BlockLayout2D, launch_curved_boundary, launch_halo_copy, level_config,
static_circle_tables)
from ..cuda import compiler_v2 as compiler
from .blocks import BlockLayout2D
from .channel import channel_masks, validate_channel_config, validate_channel_transfers
from ..body.jets import jet_link_velocity
from .block_stepper import MAX_GRID_DIM
from .hierarchy import build_hierarchy, is_rectangle
from .refinement import ACTIVE, HALO, FixedPatch2D, FixedPatchSet2D, prepare_fine_boundary
from .refinement_tables import (blocked_base_tables, blocked_fine_tables, # noqa: F401 (re-export)
blocked_kind, projected_explosion_tables, _prepare_blocked_boundary,
_BlockedBoundary,
BLOCKED_BOUNDARY_DEVICE_COLUMNS)
from .descriptors import SOLID
from .raw_exchange import summarize_exchange
@@ -66,27 +65,67 @@ def _level_name(level):
return ("base", "fine", "child")[level] if level < 3 else f"level {level}"
MAX_GRID_DIM = 65535 # CUDA gridDim.y/z limit (rows, blocks)
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")
for name, values in (("level_blocks", blocks), ("level_objects", objects), ("level_jets", jets)):
if len(values) != depth:
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)")
if depth == 1: # one blocked level: the root carries the static circles
if blocks[0] is None or jets[0]:
raise ValueError("a single level must be blocked and has no Jets")
return
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")
@@ -95,17 +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).
``refinements=[]`` is one blocked level: periodic SRT root without LES,
Jets or exchange observation; its ``level_objects[0]`` are stationary
passive circles (static BFL).
"""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``.
@@ -116,55 +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.
@@ -172,21 +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]
@@ -204,11 +268,6 @@ class FixedPatchStepper:
self._ddf_shifting = bool(cfg.ddf_shifting)
if self._ddf_shifting and any(b is None for b in level_blocks):
raise ValueError("shifted populations require all-blocked levels; dense/mixed is unsupported")
if depth == 1 and (coarse_boundary != "periodic" or cfg.collision != "SRT" or cfg.les_enabled
or explosion != "constant"
or observe_raw_exchange or observe_window_exchange):
raise ValueError("a single level requires a periodic SRT root without LES, projection "
"or exchange observation")
self._channel = coarse_boundary == "channel"
if self._channel:
validate_channel_config(cfg, level_blocks)
@@ -242,14 +301,12 @@ class FixedPatchStepper:
base = blocked_base_tables(pairs[0], self._layouts[0], np.argsort(pairs[0].coalesce_coarse))
validate_channel_transfers(pairs[0], self._layouts[0], base[1])
# Kernel configurations per level (geometry configs live in self.hierarchy).
self._level_cfgs = [replace(cfg)]
if pairs:
fine_cfg = replace(cfg, nx=pairs[0].fine_shape[1], ny=pairs[0].fine_shape[0],
viscosity=2 * cfg.viscosity)
if self._wall_aware:
fine_cfg = replace(fine_cfg, y_wall_bc="bounce_back", top_wall_bc="velocity",
wall_slot_width=0, wall_normal_velocity=0.0, velocity=0.0)
self._level_cfgs.append(fine_cfg)
fine_cfg = replace(cfg, nx=pairs[0].fine_shape[1], ny=pairs[0].fine_shape[0],
viscosity=2 * cfg.viscosity)
if self._wall_aware:
fine_cfg = replace(fine_cfg, y_wall_bc="bounce_back", top_wall_bc="velocity",
wall_slot_width=0, wall_normal_velocity=0.0, velocity=0.0)
self._level_cfgs = [replace(cfg), fine_cfg]
for pair in pairs[1:]:
parent = self._level_cfgs[-1]
self._level_cfgs.append(replace(parent, nx=pair.fine_shape[1], ny=pair.fine_shape[0],
@@ -290,18 +347,12 @@ class FixedPatchStepper:
self._exchange_centers = tuple(tuple(tuple(o.geometry.center) for o in objects)
for objects in level_objects)
self._level_jets = level_jets
root = None
if depth == 1 and level_objects[0]:
tables = static_circle_tables(self._layouts[0], level_objects[0])
root = _BlockedBoundary(None, tables, (), False)
self._level_boundaries = [root] + [
self._level_boundaries = [None] + [
_prepare_blocked_boundary(self._boundary_hosts[level], self._layouts[level],
self._level_cfgs[level], level_jets[level],
_shifted_blocked=self._ddf_shifting)
for level in range(1, depth)]
self._leaf = [kind == ACTIVE for kind in self.hierarchy.kinds]
if root is not None:
self._leaf[0] &= ~root.tables["solid"]
for level in range(1, depth):
host = self._boundary_hosts[level]
if host is not None:
@@ -324,9 +375,6 @@ class FixedPatchStepper:
self._block = (cfg.threads_per_block, 1, 1)
with self.ctx.activate():
try:
free, _ = cuda.mem_get_info()
if self._planned_bytes() > free: # before any stream, module or buffer
raise MemoryError("level buffers exceed free device memory")
self._stream = cuda.Stream()
for level in range(depth):
self._levels.append(self._build_level(level))
@@ -348,9 +396,7 @@ class FixedPatchStepper:
b.window_integral = self._allocate(count * 4 * 8)
b.accumulate = level.module.get_function("BlockAccumulateExchange")
b.kernel = level.module.get_function("BlockCurvedBoundary")
if depth == 1:
pass
elif self._level_boundaries[1] is not None:
if self._level_boundaries[1] is not None:
b = self._level_boundaries[1]
self._fine_flags, self._link_tables, self._curved = b.flags, b.device, b.kernel
elif self._boundary_hosts[1] is not None:
@@ -372,47 +418,32 @@ class FixedPatchStepper:
pass # Preserve the original construction failure.
raise
def _planned_bytes(self):
"""Both G buffers, halo pairs and boundary columns of every level (transfer tables excluded).
A fail-fast lower bound only: passing it cannot guarantee that later
allocations succeed (other consumers, fragmentation, races).
"""
total = 0
for index, layout in enumerate(self._layouts):
cells = int(np.prod(layout.blocked_shape if layout is not None
else (9, *self.hierarchy.kinds[index].shape)))
total += 2 * 4 * cells
if layout is not None:
total += layout.halo_dst.nbytes + layout.halo_src.nbytes
b = self._level_boundaries[index]
if b is not None:
total += sum(np.asarray(v).nbytes for k, v in b.tables.items()
if k == "flags" or k in BLOCKED_BOUNDARY_DEVICE_COLUMNS)
return total
def _build_level(self, index):
"""Compile one level's step module and allocate its two G buffers."""
layout, config = self._layouts[index], self._level_cfgs[index]
pairs = self.hierarchy.pairs
tau = (pairs[0].tau_coarse if pairs else 3 * config.viscosity + .5) if index == 0 \
else pairs[index - 1].tau_fine
tau = pairs[0].tau_coarse if index == 0 else pairs[index - 1].tau_fine
name, source = ("PatchCoarseStep" if index == 0 else "PatchFineStep"), "refinement.cu"
if layout is not None:
config = level_config(config, layout, tau)
name, source = ("BlockChannelStep" if index == 0 and self._channel else "BlockStep"), "blocked.cu"
else:
config.validate()
if not np.isclose(config.omega, 1 / tau, rtol=1e-14, atol=0):
raise RuntimeError("level omega/tau mismatch")
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"), "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,
@@ -509,13 +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()
@@ -557,9 +588,7 @@ class FixedPatchStepper:
try:
for level, array in zip(self._levels, arrays):
cuda.memcpy_htod(level.current, array)
# A single level starts its spare NaN so stale halos cannot hide.
cuda.memcpy_htod(level.spare, np.full_like(array, np.nan)
if len(self._levels) == 1 else array)
cuda.memcpy_htod(level.spare, array)
if self._fine_curved is not None and self._fine_curved.link_exchange_gpu is not None:
cuda.memset_d8(self._fine_curved.link_exchange_gpu, 0, self._fine_curved.count * 12)
self._step_count = 0
@@ -641,9 +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:
@@ -723,12 +753,15 @@ class FixedPatchStepper:
return
if b.kernel is None or b.flags is None:
raise RuntimeError("Boundary device buffers are missing")
t = b.device
t, count = b.device, len(b.tables["cell"])
velocity = t.get("surface_velocity")
if b.actuated and velocity is None:
raise RuntimeError("Surface velocity device buffer is missing")
launch_curved_boundary(b.kernel, buffer, t, len(b.tables["cell"]), velocity=velocity,
rx=t.get("rx"), ry=t.get("ry"), raw=b.last_raw, **kw)
b.kernel(buffer, t["block"], t["cell"], t["dir"], t["q"], t["fallback"],
np.uint32(count), velocity if velocity is not None else np.uintp(0),
t.get("rx", np.uintp(0)), t.get("ry", np.uintp(0)),
b.last_raw if b.last_raw is not None else np.uintp(0),
grid=((count + self._block[0] - 1) // self._block[0], 1), **kw)
def _advance(self, index, parent_buffer, **kw):
"""Explode from the given parent buffer, then two hops of level ``index``."""
@@ -780,50 +813,36 @@ class FixedPatchStepper:
np.float64(h), np.float64(h),
grid=((count + self._block[0] - 1) // self._block[0], 1), **kw)
flags = np.uintp(0) if level.boundary is None else level.boundary.flags
kind = np.uintp(0) if level.kind is None else level.kind # single level: all ACTIVE
level.kernel(src, dst, np.uint32(level.layout.halo), flags, kind, grid=level.grid, **kw)
level.kernel(src, dst, np.uint32(level.layout.halo), flags, level.kind, grid=level.grid, **kw)
def _gather_halo(self, level, buffer, **kw):
pairs = len(level.layout.halo_dst)
if pairs:
launch_halo_copy(level.halo_copy, buffer, level.halo_dst, level.halo_src, pairs, **kw)
level.halo_copy(buffer, level.halo_dst, level.halo_src, np.uint32(pairs),
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
@@ -986,8 +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")
+25 -21
View File
@@ -25,7 +25,7 @@ import pycuda.driver as cuda
from .config import LBMConfig, BodyConfig, load_lbm_config, load_body_config
from .cuda.context import CudaContext, context_bound
from .cuda import compiler
from .cuda import compiler_v2 as compiler
from .lbm.field import LBMField
from .lbm.stepper import LBMStepper
from .body.objects import SimObject
@@ -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()
@@ -6,14 +6,14 @@ import pycuda.driver as cuda
import pytest
import CelerisLab
from CelerisLab.cuda import compiler
from CelerisLab.cuda import compiler_v2
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.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
+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(int(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()
-65
View File
@@ -1,65 +0,0 @@
"""The public examples run all-blocked: their level tiles must reach the device unchanged.
Host only: a context whose activation raises proves construction (layouts, tables,
boundary checks) succeeded up to the first CUDA call.
"""
import ast
from dataclasses import replace
from pathlib import Path
import unittest
from unittest.mock import Mock
from CelerisLab.body.geometry.circle import CircleGeometry
from CelerisLab.body.objects import SimObject
from CelerisLab.config import LBMConfig
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
EXAMPLES = Path(__file__).resolve().parents[2] / "examples"
def literal(name, constant):
"""Module-level literal from an example, read without importing it (no pycuda)."""
tree = ast.parse((EXAMPLES / name).read_text())
for node in tree.body:
if isinstance(node, ast.Assign):
for target in node.targets:
names = target.elts if isinstance(target, ast.Tuple) else [target]
for i, t in enumerate(names):
if isinstance(t, ast.Name) and t.id == constant:
value = node.value.elts[i] if isinstance(target, ast.Tuple) else node.value
return ast.literal_eval(value)
raise KeyError(constant)
def forbidden():
return Mock(activate=Mock(side_effect=AssertionError("CUDA reached")), sm_arch="sm_70")
class ExampleTiles(unittest.TestCase):
def test_fixed_patch_jet_tiles(self):
bounds, blocks = literal("fixed_patch_jet.py", "BOUNDS"), literal("fixed_patch_jet.py", "LEVEL_BLOCKS")
width, amplitude = literal("fixed_patch_jet.py", "WIDTH"), literal("fixed_patch_jet.py", "AMPLITUDE")
cfg = LBMConfig(nx=48, ny=48, viscosity=.1, velocity=0., wall_slot_width=width,
wall_normal_velocity=amplitude, y_wall_bc="on_site_velocity",
top_wall_bc="reservoir")
with self.assertRaisesRegex(AssertionError, "CUDA reached"):
FixedPatchStepper(cfg, context=forbidden(), coarse_boundary="slot_reservoir",
refinements=[bounds], level_blocks=[tuple(b) for b in blocks])
def test_fixed_patch_circle_default_tiles(self):
bounds = literal("fixed_patch_circle.py", "BOUNDS")
nx, ny = literal("fixed_patch_circle.py", "NX"), literal("fixed_patch_circle.py", "NY")
center, radius = literal("fixed_patch_circle.py", "CENTER"), literal("fixed_patch_circle.py", "RADIUS")
body = SimObject(0, geometry=CircleGeometry(*center, radius), center=center, radius=radius)
periodic = LBMConfig(nx=nx, ny=ny, viscosity=.1)
slot = replace(periodic, velocity=0, wall_normal_velocity=.001, wall_slot_width=8,
y_wall_bc="on_site_velocity", top_wall_bc="reservoir")
for mode, cfg in (("periodic", periodic), ("slot_reservoir", slot)):
with self.subTest(mode=mode), self.assertRaisesRegex(AssertionError, "CUDA reached"):
FixedPatchStepper(cfg, context=forbidden(), coarse_boundary=mode,
refinements=[bounds], level_blocks=[(12, 8), (16, 20)],
level_objects=[(), (body,)])
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
+2 -2
View File
@@ -9,7 +9,7 @@ import pytest
import CelerisLab
from CelerisLab.config import LBMConfig, load_lbm_config
from CelerisLab.cuda import compiler
from CelerisLab.cuda import compiler_v2 as compiler
from CelerisLab.common.checkpoint import save_checkpoint, load_checkpoint
from .test_numerical_operators import compile_run
from .test_state_regressions import device, make_field, manager
@@ -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 -212
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():
@@ -157,47 +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):
"""The frozen manifest verify_source selects for (collision, observation_mode).
Source identity is owned by test_source_pin; this reads no checkout files.
"""
return r.source_manifest(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)
@@ -224,9 +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",
@@ -243,9 +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,
@@ -380,7 +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():
@@ -390,7 +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")
@@ -490,169 +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()
@@ -22,13 +22,12 @@ def host_module():
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 in (
'cuda','curved_links'))]
'cuda','block_stepper','curved_links'))]
module=types.ModuleType('CelerisLab.lbm._test_host_refinement')
module.__package__='CelerisLab.lbm'
from CelerisLab.body.jets import surface_link_velocity
module.__dict__.update(cuda=Mock(),compiler=Mock(),
module.__dict__.update(cuda=Mock(),compiler=Mock(),MAX_GRID_DIM=65535,
surface_link_velocity=surface_link_velocity)
module.cuda.mem_get_info.return_value=(1<<40,1<<40) # free-memory preflight passes
exec(compile(tree,str(path),'exec'),module.__dict__)
return module
@@ -174,10 +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):
@@ -194,9 +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:
@@ -204,8 +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()
@@ -216,29 +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()
@@ -316,23 +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
+23 -12
View File
@@ -1,4 +1,7 @@
"""CPU host contracts; mocked CUDA executes real lifecycle, not numerical kernels."""
import ast
import types
from pathlib import Path
from contextlib import nullcontext
from dataclasses import replace
import unittest
@@ -76,7 +79,7 @@ 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
for m in old.leaf_masks) # FP32 under numpy 1 and 2 promotion rules
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))
@@ -128,21 +131,30 @@ 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):
module = backend.host_module() # single blocked level: FixedPatchStepper(refinements=[])
cuda, compiler = module.cuda, module.compiler
path = Path(backend.r.__file__).with_name('block_stepper.py')
tree = ast.parse(path.read_text())
tree.body = [n for n in tree.body if not (
isinstance(n, ast.Import) and any(a.name == 'pycuda.driver' for a in n.names)
or isinstance(n, ast.ImportFrom) and n.module == 'cuda')]
module = types.ModuleType('CelerisLab.lbm._test_block_host')
module.__package__ = 'CelerisLab.lbm'
cuda, compiler = Mock(), Mock()
module.__dict__.update(cuda=cuda,compiler=compiler)
exec(compile(tree,str(path),'exec'),module.__dict__)
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)
run=module.FixedPatchStepper(cfg,context=context,refinements=[],level_blocks=[(4,4)])
run=module.PeriodicBlockStepper(cfg,layout,context=context)
storage={}
cuda.memcpy_htod.side_effect=lambda p,a: storage.__setitem__(id(p),np.array(a,copy=True))
cuda.memcpy_dtoh.side_effect=lambda a,p: np.copyto(a,storage[id(p)])
@@ -153,8 +165,7 @@ class ShiftedStorage(unittest.TestCase):
self.assertTrue(raw.shifted)
self.assertEqual(len(raw.values),1)
self.assertTrue((raw.values[0][1]==np.float32(2**-35)).all())
(down,)=run.download()
np.testing.assert_array_equal(down,physical)
np.testing.assert_array_equal(run.download(),physical)
finally: run.close()
def test_passive_shifted_body_raw_remap_preserves_support(self):
+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()
-218
View File
@@ -1,218 +0,0 @@
"""Host contract of FixedPatchStepper(refinements=[]): one blocked level (mocked driver).
Per step: halo refresh -> static BFL (circles only) -> BlockStep with a null
kind, one stream wait per step(n) call, NaN spare after initialize. An upload,
launch, wait or download failure fails the instance and keeps its step count;
close retains resources for retry when context activation fails.
"""
from contextlib import nullcontext
from unittest.mock import MagicMock, Mock
import unittest
import numpy as np
from CelerisLab.body.geometry.circle import CircleGeometry
from CelerisLab.body.objects import SimObject
from CelerisLab.config import LBMConfig
from tests.unit.test_refinement_three_level_multipatch import host_module
def circle(center=(15.5, 11.5), radius=4.3):
return SimObject(0, geometry=CircleGeometry(*center, radius), center=center, radius=radius)
def backend(objects=(), failing_kernel=None, initialize=True):
host, log = host_module(), []
host.armed = False # set True to make failing_kernel raise
def launch(name):
def run(*a, **k):
log.append((name, a))
if name == failing_kernel and host.armed:
raise RuntimeError(name + " launch failed")
return run
module = Mock()
module.get_global.return_value = (Mock(), 20)
module.get_function.side_effect = lambda name: Mock(side_effect=launch(name))
host.compiler.build_module.return_value = module
host.cuda.mem_alloc.side_effect = lambda size: Mock(size=size)
host.cuda.memcpy_htod.side_effect = lambda pointer, array: log.append(("upload", (pointer, array)))
run = host.FixedPatchStepper(LBMConfig(nx=32, ny=24, viscosity=.1),
context=Mock(activate=nullcontext, sm_arch="sm_70"),
refinements=[], level_blocks=[(12, 16)], level_objects=[objects])
run._stream.synchronize.side_effect = lambda: log.append(("sync", ()))
log.clear()
if initialize:
run.initialize(np.full(run._levels[0].shape, 1 / 9, np.float32))
return run, log, host
def state():
return np.full((9, 24, 32), 1 / 9, np.float32)
class SingleLevel(unittest.TestCase):
def test_spare_starts_nan_and_current_holds_state(self):
run, log, _ = backend()
level = run._levels[0]
uploads = {id(a[0]): a[1] for name, a in log if name == "upload"}
self.assertTrue(np.isnan(uploads[id(level.spare)]).all())
self.assertTrue(np.isfinite(level.layout.to_dense(uploads[id(level.current)])).all())
def test_launch_order_per_step(self):
for objects, order in (((), ["BlockHaloCopy", "BlockStep"]),
((circle(),), ["BlockHaloCopy", "BlockCurvedBoundary", "BlockStep"])):
with self.subTest(bodies=len(objects)):
run, log, _ = backend(objects)
log.clear()
run.step(2)
self.assertEqual([name for name, _ in log], order * 2 + ["sync"])
step = [a for name, a in log if name == "BlockStep"][0]
self.assertEqual(int(step[4]), 0) # null kind: every core cell ACTIVE
def test_circle_solids_are_not_state(self):
run, _, _ = backend((circle(),))
solid = run._level_boundaries[0].tables["solid"]
self.assertTrue(solid.any())
np.testing.assert_array_equal(run._state[0], ~solid)
def test_initialize_upload_failure_fails_instance(self):
run, _, host = backend(initialize=False)
host.cuda.memcpy_htod.side_effect = RuntimeError("upload failed")
with self.assertRaisesRegex(RuntimeError, "upload failed"):
run.initialize(state())
with self.assertRaisesRegex(RuntimeError, "failed"):
run.step(1)
def test_launch_failure_fails_instance_and_keeps_step_count(self):
for kernel, objects in (("BlockHaloCopy", ()), ("BlockCurvedBoundary", (circle(),)),
("BlockStep", ())):
with self.subTest(kernel=kernel):
run, log, host = backend(objects, failing_kernel=kernel)
run.step(1)
host.armed = True
log.clear()
with self.assertRaisesRegex(RuntimeError, kernel + " launch failed"):
run.step(2)
self.assertEqual(run.step_count, 1)
self.assertNotIn("sync", [name for name, _ in log])
with self.assertRaisesRegex(RuntimeError, "failed"):
run.download()
def test_free_memory_preflight_before_stream_and_buffers(self):
for cfg, options in ((LBMConfig(nx=32, ny=24, viscosity=.1),
dict(refinements=[], level_blocks=[(12, 16)])),
(LBMConfig(nx=48, ny=48, viscosity=.02), # every level counts
dict(refinements=[[(6, 6, 26, 26)]], level_blocks=[(4, 4)] * 2))):
with self.subTest(depth=len(options["refinements"]) + 1):
host = host_module()
host.cuda.mem_get_info.return_value = (1024, 1 << 30)
with self.assertRaisesRegex(MemoryError, "exceed free device memory"):
host.FixedPatchStepper(cfg, context=Mock(activate=nullcontext, sm_arch="sm_70"),
**options)
host.cuda.Stream.assert_not_called()
host.cuda.mem_alloc.assert_not_called()
host.compiler.build_module.assert_not_called()
def test_wait_failure_after_a_good_step_keeps_its_count(self):
run, _, _ = 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_final_wait_failure_fails_instance_and_keeps_step_count(self):
run, _, _ = backend()
run._stream.synchronize.side_effect = RuntimeError("device error")
with self.assertRaisesRegex(RuntimeError, "device error"):
run.step(3)
self.assertEqual(run.step_count, 0)
with self.assertRaisesRegex(RuntimeError, "failed"):
run.step(1)
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)
def roles(run, log): # same launch order and buffer roles as three step(1) calls
level = run._levels[0]
tags = {id(level.current): "c", id(level.spare): "s"}
return [(n, tuple(tags.get(id(x), "-") for x in a)) for n, a in log if n != "sync"]
self.assertEqual(roles(many, log_many), roles(single, log_single))
self.assertIsNot(many._levels[0].current, many._levels[0].spare)
self.assertEqual((many.step_count, single.step_count), (3, 3))
def test_step_zero_launches_and_waits_for_nothing(self):
run, log, _ = backend()
log.clear()
run.step(0)
self.assertEqual((log, run.step_count), ([], 0))
def test_launch_failure_mid_batch_fails_without_waiting(self):
run, log, host = backend()
step = run._levels[0].kernel
calls = []
def failing(*args, **kwargs):
calls.append(1)
if len(calls) == 2:
raise RuntimeError("launch failure")
return step(*args, **kwargs)
run._levels[0].kernel = failing
log.clear()
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()
def test_initialize_rejects_bad_state_before_upload(self):
run, log, _ = backend(initialize=False)
good = state()
for bad in (good[:, :-1], np.where(np.arange(32) == 3, np.nan, good), -good):
with self.assertRaises(ValueError):
run.initialize(bad)
self.assertNotIn("upload", [name for name, _ in log])
run.initialize(good)
self.assertEqual([name for name, _ in log].count("upload"), 2)
def test_download_failure_fails_instance(self):
run, _, host = backend()
host.cuda.memcpy_dtoh.side_effect = RuntimeError("read failed")
with self.assertRaisesRegex(RuntimeError, "read failed"):
run.download()
for operation in (run.download, run.step):
with self.assertRaisesRegex(RuntimeError, "failed"):
operation()
def test_activation_failure_retains_resources_for_retry(self):
run, _, _ = backend()
allocations, stream = run._allocations[:], run._stream
unavailable = MagicMock()
unavailable.__enter__.side_effect = RuntimeError("activation failed")
run.ctx.activate = Mock(side_effect=[unavailable, nullcontext()])
with self.assertRaisesRegex(RuntimeError, "activation failed"):
run.close()
self.assertEqual(run._status, "failed")
self.assertEqual(run._allocations, allocations)
self.assertIs(run._stream, stream)
run.close()
self.assertEqual(run._status, "closed")
self.assertEqual(run._levels, [])
for allocation in allocations:
allocation.free.assert_called_once()
if __name__ == "__main__":
unittest.main()
-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'))
+118 -50
View File
@@ -1,4 +1,4 @@
"""Single blocked level, FixedPatchStepper(refinements=[]): CPU contracts plus short GPU cases.
"""Periodic body-free block backend: CPU contract doubles plus one short GPU case.
Frozen GPU gates (32x24, 8 steps, positive low-Mach non-equilibrium state):
finite cores; bit-identical 1x1, 2x2 and 4x2 splits; max |G - FP64 oracle|
@@ -11,8 +11,9 @@ Mass/momentum drift is reported, not gated.
from contextlib import nullcontext
from pathlib import Path
import resource
from threading import RLock
import unittest
from unittest.mock import Mock, patch
from unittest.mock import MagicMock, Mock, patch
import numpy as np
import pycuda.driver as cuda
@@ -20,10 +21,10 @@ import pycuda.driver as cuda
from CelerisLab.body.geometry.circle import CircleGeometry
from CelerisLab.body.objects import SimObject
from CelerisLab.config import LBMConfig
from CelerisLab.cuda import compiler
from CelerisLab.lbm import refinement_stepper as implementation
from CelerisLab.lbm.blocks import NO_DONOR, BlockLayout2D, static_circle_tables
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
from CelerisLab.cuda import compiler_v2 as compiler
from CelerisLab.lbm import block_stepper as implementation
from CelerisLab.lbm.blocks import NO_DONOR, BlockLayout2D
from CelerisLab.lbm.block_stepper import PeriodicBlockStepper
from CelerisLab.lbm.descriptors import D2Q9_EX, D2Q9_EY
ROOT = Path(__file__).resolve().parents[3]
@@ -111,78 +112,72 @@ def totals(g):
return g.sum(), (CX[:, None, None] * g).sum(), (CY[:, None, None] * g).sum()
def single(cfg=None, *, context, block=(12, 16), objects=(), **kw):
"""One periodic blocked level (the former PeriodicBlockStepper capability)."""
return FixedPatchStepper(cfg or config(), context=context, refinements=[], level_blocks=[block],
level_objects=[tuple(objects)], **kw)
class CpuContracts(unittest.TestCase):
"""No device: driver doubles prove rejection before allocation."""
"""No device: driver doubles prove rejection before allocation and lifecycle."""
def forbidden_context(self):
return Mock(activate=Mock(side_effect=AssertionError("CUDA reached")), sm_arch="sm_70")
def test_unsupported_inputs_rejected_before_cuda(self):
for cfg, kw in ((None, dict(block=None)),
(None, dict(coarse_boundary="channel")),
(None, dict(coarse_boundary="slot_reservoir")),
(config(collision="MRT"), {}),
(config(les_enabled=True), {}),
(None, dict(explosion="projected_linear")),
(None, dict(observe_raw_exchange=True)),
(None, dict(observe_raw_exchange=True, observe_window_exchange=True)),
(None, dict(level_jets=[(object(),)]))):
with self.subTest(kw=kw), self.assertRaises(ValueError):
single(cfg, context=self.forbidden_context(), **kw)
layout = BlockLayout2D.build(NY, NX, 12, 16)
cases = ((config(), BlockLayout2D.build(NY, NX, 12, 16, periodic=(True, False))),
(config(), BlockLayout2D.build(NY, NX * 2, 12, 16)),
(config(collision="MRT"), layout),
(config(), "layout"))
for cfg, lay in cases:
with self.subTest(cfg=cfg.collision, layout=getattr(lay, "periodic", lay)):
with self.assertRaises(ValueError):
PeriodicBlockStepper(cfg, lay, context=self.forbidden_context())
moving = circle()
moving.state.vx = .01
build_links = CircleGeometry.build_cut_links
for objects in ([moving], [circle((1.5, 11.5), 2.0)], [circle(), circle()]):
with self.assertRaises(ValueError):
single(context=self.forbidden_context(), objects=objects)
PeriodicBlockStepper(config(), layout, context=self.forbidden_context(), objects=objects)
for center, radius in (((16.0, 12.0), -.1), ((16.0, 12.0), -.5), ((15.5, 11.5), np.nan),
((np.inf, 11.5), 4.3), ((15.5, np.nan), 4.3)):
with self.subTest(center=center, radius=radius), self.assertRaises(ValueError):
single(context=self.forbidden_context(), objects=[circle(center, radius)])
with patch.object(implementation, "static_circle_tables") as prepare:
PeriodicBlockStepper(config(), layout, context=self.forbidden_context(),
objects=[circle(center, radius)])
with patch.object(implementation, "_static_circles") as prepare:
with self.assertRaisesRegex(AssertionError, "CUDA reached"): # body-free path
single(context=self.forbidden_context(), objects=iter(()))
PeriodicBlockStepper(config(), layout, context=self.forbidden_context(), objects=iter(()))
prepare.assert_not_called()
with self.assertRaisesRegex(AssertionError, "CUDA reached"):
single(context=self.forbidden_context(), objects=[circle()])
with patch.object(CircleGeometry, "build_cut_links",
lambda geometry, *a, **k: build_links(geometry, *a, **k)[1:]):
with self.assertRaisesRegex(ValueError, "cover every fluid pull"):
single(context=self.forbidden_context(), objects=[circle()])
PeriodicBlockStepper(config(), layout, context=self.forbidden_context(),
objects=[circle()])
with patch.object(implementation, "MAX_GRID_DIM", 3):
with self.assertRaisesRegex(ValueError, "launch limits"):
single(context=self.forbidden_context())
PeriodicBlockStepper(config(), layout, context=self.forbidden_context())
def test_memory_and_param_layout_rejected_before_allocation(self):
layout = BlockLayout2D.build(NY, NX, 12, 16)
context = Mock(activate=nullcontext, sm_arch="sm_70")
with patch.object(cuda, "mem_get_info", return_value=(1024, 1 << 30)), \
patch.object(cuda, "Stream") as stream, patch.object(cuda, "mem_alloc") as alloc:
with self.assertRaisesRegex(MemoryError, "exceed free device memory"):
single(context=context, objects=[circle()])
with self.assertRaises(MemoryError):
PeriodicBlockStepper(config(), layout, context=context)
stream.assert_not_called()
alloc.assert_not_called()
module = Mock()
module.get_global.return_value = (Mock(), 16)
with patch.object(cuda, "Stream"), patch.object(cuda, "mem_get_info", return_value=(1 << 40, 1 << 40)), patch.object(compiler, "generate_config"), \
with patch.object(cuda, "mem_get_info", return_value=(1 << 30, 1 << 30)), \
patch.object(cuda, "Stream"), patch.object(compiler, "generate_config"), \
patch.object(compiler, "compile_kernel") as compile_kernel, \
patch.object(compiler, "cleanup_build_dir"), \
patch.object(compiler, "load_module", return_value=module), \
patch.object(cuda, "mem_alloc") as alloc, patch.object(cuda, "memcpy_htod") as upload:
with self.assertRaisesRegex(RuntimeError, "layout mismatch"):
single(context=context)
self.assertEqual(compile_kernel.call_args.kwargs["source"], "blocked.cu")
PeriodicBlockStepper(config(), layout, context=context)
self.assertEqual(compile_kernel.call_args.kwargs["source"], "blocks.cu")
alloc.assert_not_called()
upload.assert_not_called()
def test_static_circle_tables(self):
layout = BlockLayout2D.build(NY, NX, 12, 16)
tables = static_circle_tables(layout, (circle(),))
tables = implementation._static_circles(layout, (circle(),))
links = CircleGeometry(*CENTER, RADIUS).build_cut_links(NX, NY, domain_flags=dense_flags())
self.assertEqual(len(tables["cell"]), len(links))
np.testing.assert_array_equal(tables["q"], np.array([l.q for l in links], np.float32))
@@ -190,11 +185,85 @@ class CpuContracts(unittest.TestCase):
self.assertTrue((tables["flags"][solid_cells] & 2).all())
self.assertEqual(int(np.count_nonzero(tables["flags"] & 2)), int(tables["solid"].sum()))
def fake_backend(self):
backend = PeriodicBlockStepper.__new__(PeriodicBlockStepper)
backend.layout = BlockLayout2D.build(NY, NX, 12, 16)
backend.ctx = Mock(activate=nullcontext)
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()
backend.boundary, backend._curved, backend._tables, backend._links = None, None, {}, 0
backend._dst, backend._src = Mock(), Mock()
backend._block, backend._grid, backend._copy_grid = (32, 1, 1), (1, 1, 1), (1, 1)
backend._allocations = [Mock(), Mock()]
backend._current, backend._spare = backend._allocations
return backend
class SingleLevelGPU(unittest.TestCase):
def test_initialize_rejects_bad_state_before_upload(self):
backend = self.fake_backend()
good = initial_state()
bad = (good[:, :-1], np.where(np.arange(NX) == 3, np.nan, good), -good)
with patch.object(cuda, "memcpy_htod") as upload:
for g in bad:
with self.assertRaises(ValueError):
backend.initialize(g)
upload.assert_not_called()
backend.initialize(good)
self.assertEqual(upload.call_count, 2)
self.assertTrue(np.isnan(upload.call_args_list[1].args[1]).all())
backend.close()
def test_failed_launch_and_download_make_backend_unusable(self):
for failure in ("step", "download"):
backend = self.fake_backend()
if failure == "step":
backend._step = Mock(side_effect=RuntimeError("launch failed"))
with self.assertRaisesRegex(RuntimeError, "launch failed"):
backend.step()
else:
with patch.object(cuda, "memcpy_dtoh", side_effect=RuntimeError("read failed")):
with self.assertRaisesRegex(RuntimeError, "read failed"):
backend.download()
for operation in (backend.download, backend.step):
with self.assertRaisesRegex(RuntimeError, "failed"):
operation()
backend.close()
for allocation in backend_allocations(backend):
allocation.free.assert_called_once()
def test_activation_failure_retains_resources_for_retry(self):
backend = self.fake_backend()
allocations, stream, module = backend._allocations[:], backend._stream, backend._module
unavailable = MagicMock()
unavailable.__enter__.side_effect = RuntimeError("activation failed")
backend.ctx.activate = Mock(side_effect=[unavailable, nullcontext()])
with self.assertRaisesRegex(RuntimeError, "activation failed"):
backend.close()
self.assertEqual(backend._status, "failed")
self.assertEqual(backend._allocations, allocations)
self.assertIs(backend._stream, stream)
self.assertIs(backend._module, module)
backend.close()
self.assertEqual(backend._status, "closed")
self.assertIsNone(backend._module)
self.assertIsNone(backend._copy)
self.assertIsNone(backend._step)
for allocation in allocations:
allocation.free.assert_called_once()
def backend_allocations(backend):
return (backend._current, backend._spare)
class PeriodicBlockGPU(unittest.TestCase):
def setUp(self):
self.assertEqual(Path(implementation.__file__).resolve(),
ROOT / "src/CelerisLab/lbm/refinement_stepper.py")
ROOT / "src/CelerisLab/lbm/block_stepper.py")
def tearDown(self):
rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024
@@ -205,13 +274,13 @@ class SingleLevelGPU(unittest.TestCase):
g0 = initial_state()
results = []
with CudaContext(0) as context:
for split in SPLITS:
with single(context=context, block=split) as backend:
for by, bx in SPLITS:
layout = BlockLayout2D.build(NY, NX, by, bx)
with PeriodicBlockStepper(config(), layout, context=context) as backend:
backend.initialize(g0)
backend.step(STEPS)
self.assertEqual(backend.step_count, STEPS)
(g,) = backend.download()
results.append(g)
results.append(backend.download())
for (by, bx), g in zip(SPLITS, results):
self.assertTrue(np.isfinite(g).all(), (by, bx))
np.testing.assert_array_equal(g, results[0], err_msg=f"split {(by, bx)}")
@@ -238,17 +307,16 @@ class SingleLevelGPU(unittest.TestCase):
g0 = initial_state()
results = []
with CudaContext(0) as context:
for split in SPLITS:
with single(context=context, block=split, objects=[circle()]) as backend:
tables = backend._level_boundaries[0].tables
for by, bx in SPLITS:
layout = BlockLayout2D.build(NY, NX, by, bx)
with PeriodicBlockStepper(config(), layout, context=context, objects=[circle()]) as backend:
for key, values, dtype in (("q", [l.q for l in links], np.float32),
("dir", [l.dir for l in links], np.uint8),
("fallback", [l.fallback for l in links], np.uint8)):
np.testing.assert_array_equal(tables[key], np.array(values, dtype))
np.testing.assert_array_equal(backend.boundary[key], np.array(values, dtype))
backend.initialize(g0)
backend.step(STEPS)
(g,) = backend.download()
results.append(g)
results.append(backend.download())
for (by, bx), g in zip(SPLITS, results):
self.assertTrue(np.isfinite(g[:, ~solid]).all(), (by, bx))
self.assertTrue(np.isnan(g[:, solid]).all(), (by, bx))
@@ -11,7 +11,7 @@ import numpy as np
import pycuda.driver as cuda
from CelerisLab.config import LBMConfig
from CelerisLab.cuda import compiler
from CelerisLab.cuda import compiler_v2 as compiler
from CelerisLab.cuda.context import CudaContext
from CelerisLab.lbm.blocks import BlockLayout2D
from CelerisLab.lbm.descriptors import FLUID, SOLID, BC_WALL, BC_INLET, BC_OUTLET
@@ -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)
@@ -18,7 +18,7 @@ import CelerisLab
from CelerisLab.body.geometry.circle import CircleGeometry
from CelerisLab.body.objects import SimObject
from CelerisLab.config import LBMConfig
from CelerisLab.cuda import compiler
from CelerisLab.cuda import compiler_v2 as compiler
from CelerisLab.cuda.context import CudaContext
from CelerisLab.lbm import refinement_stepper as implementation
from CelerisLab.lbm.descriptors import FLUID, SOLID
@@ -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
@@ -327,7 +326,6 @@ 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)
@@ -224,13 +221,16 @@ class RawExchangeGPU(unittest.TestCase):
Eight local hops are a short-time equivalence check, not convergence.
The test adapter only enables the standalone kernel's optional inputs.
"""
from CelerisLab.lbm.blocks import BlockLayout2D
from CelerisLab.lbm.block_stepper import PeriodicBlockStepper
fine_cfg = replace(CFG, nx=64, ny=48, viscosity=.2)
obj = SimObject(0, geometry=CircleGeometry(31.5, 23.5, 4.3),
center=(31.5, 23.5), radius=4.3)
layout = BlockLayout2D.build(48, 64, 8, 8)
with CudaContext(0) as ctx:
with FixedPatchStepper(fine_cfg, context=ctx, refinements=[], level_blocks=[(8, 8)],
level_objects=[(obj,)]) as uniform, \
FixedPatchStepper(CFG, context=ctx, **fine((16, 20)), observe_raw_exchange=True) as amr:
with PeriodicBlockStepper(fine_cfg, layout, context=ctx, objects=[obj]) as uniform, \
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]
@@ -238,21 +238,18 @@ class RawExchangeGPU(unittest.TestCase):
links = obj.geometry.build_cut_links(64, 48)
np.testing.assert_array_equal([v.dir for v in links], b.tables['dir'])
np.testing.assert_allclose([v.q for v in links], b.tables['q'], atol=2e-7, rtol=0)
# Same fine-grid force arms after translation to the same center: the
# single level's static BFL gets the AMR Jet column and force arms; the raw
# output pointer is substituted at launch (no stepper-side accumulation).
root = uniform._level_boundaries[0]
# Same fine-grid force arms after translation to the same center.
rx = uniform._upload(b.tables['rx'])
ry = uniform._upload(b.tables['ry'])
velocity = uniform._upload(b.tables['surface_velocity'])
root.device.update(surface_velocity=velocity, rx=uniform._upload(b.tables['rx']),
ry=uniform._upload(b.tables['ry']))
raw = uniform._allocate(count*16)
original = root.kernel
original = uniform._curved
samples = []
def measured_boundary(*args, **kw):
original(*args[:10], raw, **kw) # BlockCurvedBoundary raw-exchange output
original(*args[:7], velocity, rx, ry, raw, **kw)
uniform._stream.synchronize()
samples.append(download(raw, (count, 4)))
root.kernel = measured_boundary
uniform._curved = measured_boundary
for speed in (0., .002, -.001, 0.):
amr.set_jet_amplitude(0, speed)
cuda.memcpy_htod(velocity, b.tables['surface_velocity'])
@@ -2,34 +2,6 @@
Run CPU and GPU classes in separate processes. GPU callers must first check
resources/device availability; this file never selects or reserves a GPU.
Dense/blocked route parity (DenseBlockedRouteParity): the same configuration,
initial state, body/Jet schedule and tilings on three storage routes, only
level_blocks varying: D/D [None, None], D/B [None, FINE_BLOCK] (dense root,
the mixed pattern of current examples) and B/B [(12, 8), FINE_BLOCK]. Gate:
every public and owner array identical in FP32 bits and NaN masks at steps
0, 1, 2, 8 and after re-initialize; D/B and B/B raw-exchange ledgers equal.
No tolerance. A mismatch is reported with route pair/level/step and diagnosed
(boundary semantics vs arithmetic ordering), never widened.
Route capabilities (rejections checked before CUDA by test_route_capability_matrix):
combination D/D D/B B/B
periodic / slot_reservoir root, fine circle yes yes yes (parity gate)
actuated circle, velocity Jet + amplitude yes yes yes (parity gate)
raw/window exchange on a body level rejected yes yes
shifted storage rejected rejected yes
projected explosion rejected rejected yes
channel root rejected rejected yes
several L1 rectangles rejected rejected yes
depth >= 3 with a dense level rejected rejected yes
Slot/reservoir walls are compile-time WALL_* macros on a dense root and the
d_block_wall constant on a blocked root: BC-encoding parity, bit-identical by
this gate. Dense fine bodies use CurvedLinkSoA + CurvedBoundaryKernel
(n_objects > 0), blocked ones BlockCurvedBoundary; same links and physics,
compared through the population rows. Parked here: MRT (covered by
test_refinement_mrt_gpu::test_dense_versus_blocked_mrt_two_level), shifted and
depth >= 3 (no dense route to compare), several bodies (later slice).
"""
from contextlib import ExitStack, contextmanager, nullcontext
from dataclasses import replace
@@ -41,14 +13,13 @@ from unittest.mock import Mock, patch
import numpy as np
import pycuda.driver as cuda
from CelerisLab.cuda import compiler
from CelerisLab.cuda import compiler_v2 as compiler
from CelerisLab.lbm import refinement_stepper
from CelerisLab.lbm.blocks import BlockLayout2D
from CelerisLab.lbm.descriptors import D2Q9_EX, D2Q9_EY
from CelerisLab.lbm.refinement import ACTIVE, OUTER_GHOST, FixedPatch2D
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper, blocked_base_tables
from test_refinement_blocked_fine import NX, NY, BOUNDS, config, state, circle, actuation
from test_refinement_jets import SPEED, jet
BASE_BLOCKS = ((24, 32), (12, 8), (3, 4), (1, 1))
FINE_BLOCK = (16, 20)
@@ -102,7 +73,6 @@ def mocked_backend(mode="periodic", fail_alloc=None):
stack.enter_context(patch.object(compiler, name))
stack.enter_context(patch.object(compiler, "load_module", return_value=module))
stack.enter_context(patch.object(cuda, "Stream", return_value=stream))
stack.enter_context(patch.object(cuda, "mem_get_info", return_value=(1 << 40, 1 << 40)))
stack.enter_context(patch.object(cuda, "mem_alloc", side_effect=allocate))
stack.enter_context(patch.object(cuda, "memcpy_htod",
side_effect=lambda p, a: uploads.append((p, a))))
@@ -113,10 +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):
@@ -222,10 +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
@@ -253,8 +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)
@@ -268,16 +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
@@ -321,10 +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:
@@ -353,128 +320,5 @@ class BlockedBaseGPU(unittest.TestCase):
print(f"PASS {label}: full finite bits/NaN masks at 0,1,2,8 + reset", flush=True)
ROUTES = (("D/D", [None, None]), ("D/B", [None, FINE_BLOCK]), ("B/B", [(12, 8), FINE_BLOCK]))
def same_summary(a, b):
"""Exact equality of nested exchange summaries (dicts, sequences, arrays, numbers)."""
if isinstance(a, dict):
return a.keys() == b.keys() and all(same_summary(a[k], b[k]) for k in a)
if isinstance(a, (list, tuple)):
return len(a) == len(b) and all(same_summary(x, y) for x, y in zip(a, b))
a, b = np.asarray(a), np.asarray(b)
if a.dtype.kind in "biufc" and b.dtype.kind in "biufc":
return a.shape == b.shape and np.array_equal(a, b, equal_nan=True)
return a.dtype == b.dtype and np.array_equal(a, b) # labels such as the window name
class DenseBlockedRouteCPU(unittest.TestCase):
def test_same_summary_compares_labels_and_every_number(self):
ledger = {"window": "last_base_step", "time_start": 3, "total": {"force": [1.0, -2.0],
"torque": 0.5}, "aperture": {"force": np.array([np.nan, 1.0])}}
self.assertTrue(same_summary(ledger, replace_value(ledger, ())))
for path, value in ((("window",), "last_substep"), (("time_start",), 4),
(("total", "force"), [1.0, -2.000001]), (("total", "torque"), 0.25),
(("aperture", "force"), np.array([0.0, 1.0]))):
with self.subTest(path=path):
self.assertFalse(same_summary(ledger, replace_value(ledger, path, value)))
self.assertFalse(same_summary(replace_value(ledger, path, value), ledger))
def test_route_capability_matrix(self):
context = Mock(activate=Mock(side_effect=AssertionError("CUDA reached")))
periodic = config("periodic")
inner = (BOUNDS[0] + 2, BOUNDS[1] + 2, BOUNDS[2] - 2, BOUNDS[3] - 2)
second = (BOUNDS[0], BOUNDS[1], BOUNDS[0] + 2, BOUNDS[1] + 2)
cases = (
("raw exchange on dense body level", periodic, dict(
level_blocks=[None, None], level_objects=[(), (circle(),)], observe_raw_exchange=True)),
("shifted D/D", replace(periodic, ddf_shifting=True), dict(level_blocks=[None, None])),
("shifted D/B", replace(periodic, ddf_shifting=True), dict(level_blocks=[None, FINE_BLOCK])),
("projected D/D", periodic, dict(level_blocks=[None, None], explosion="projected_linear")),
("projected D/B", periodic, dict(level_blocks=[None, FINE_BLOCK], explosion="projected_linear")),
("channel D/B", periodic, dict(level_blocks=[None, FINE_BLOCK], coarse_boundary="channel")),
("several L1 rectangles", periodic, dict(refinements=[[BOUNDS, second]], level_blocks=[None, None])),
("depth 3 dense", periodic, dict(refinements=[BOUNDS, inner], level_blocks=[None, None, None])),
)
for label, cfg, kw in cases:
kw.setdefault("refinements", [BOUNDS])
with self.subTest(label), self.assertRaises(ValueError):
FixedPatchStepper(cfg, context=context, **kw)
context.activate.assert_not_called()
def replace_value(tree, path, value=None):
"""Deep copy of a nested dict with the item at ``path`` replaced (no change for ())."""
if isinstance(tree, dict):
return {k: (value if path == (k,) else replace_value(v, path[1:], value) if path[:1] == (k,)
else replace_value(v, (), None)) for k, v in tree.items()}
return np.array(tree, copy=True) if isinstance(tree, np.ndarray) else tree
class DenseBlockedRouteParity(unittest.TestCase):
"""D/D vs D/B vs B/B, unshifted SRT, one circle or one velocity Jet; see module docstring."""
def run_routes(self, mode, objects=(), jets=(), switch=None):
from CelerisLab.cuda.context import CudaContext
cfg = config(mode)
p = FixedPatch2D.from_config(cfg, BOUNDS)
arrays = state(NY, NX, 1), state(*p.fine_shape, 2)
results = {}
with CudaContext(0) as context:
for name, blocks in ROUTES:
observe = bool(objects) and blocks[1] is not None
snapshots, ledgers = [], []
with FixedPatchStepper(cfg, context=context, coarse_boundary=mode, refinements=[BOUNDS],
level_blocks=blocks, level_objects=[(), tuple(objects)],
level_jets=[(), tuple(jets)],
observe_raw_exchange=observe) as backend:
backend.initialize(*arrays)
for step in (0, 1, 2, 8):
if step == 8 and switch is not None:
backend.set_jet_amplitude(0, switch)
backend.step(step - backend.step_count)
snapshots.append(backend.download() + raw(backend))
if observe and step:
ledgers.append(tuple(backend.read_raw_exchange(0, window=window)
for window in ("last_base_step", "last_substep")))
backend.initialize(*arrays)
snapshots.append(backend.download() + raw(backend))
results[name] = snapshots, ledgers
return results
def check(self, label, results):
reference, _ = results["D/D"]
for name in ("D/B", "B/B"):
for step, actual, expected in zip((0, 1, 2, 8, "reset"), results[name][0], reference):
for index, (a, b) in enumerate(zip(actual, expected)):
exact(self, a, b, f"{label} {name} vs D/D step={step} array={index}")
if results["D/B"][1]:
for step, a, b in zip((1, 2, 8), results["D/B"][1], results["B/B"][1]):
self.assertTrue(same_summary(a, b), f"{label} raw exchange D/B vs B/B step={step}")
for name, (snapshots, _) in results.items():
masses = [float(np.nansum(level.astype(np.float64))) for level in snapshots[3][:2]]
print(f"{label} {name}: step 8 mass by level {masses}", flush=True)
print(f"PASS {label}: D/D = D/B = B/B bits/NaN masks at 0,1,2,8 + reset", flush=True)
def test_body_free(self):
for mode in ("periodic", "slot_reservoir"):
self.check(f"{mode} body-free", self.run_routes(mode))
def test_passive_circle(self):
for mode in ("periodic", "slot_reservoir"):
self.check(f"{mode} circle", self.run_routes(mode, objects=[circle()]))
def test_actuated_circle(self):
for mode in ("periodic", "slot_reservoir"):
for speed in (SPEED, -SPEED):
self.check(f"{mode} actuated {speed}",
self.run_routes(mode, objects=[circle(actuation(speed))]))
def test_velocity_jet_with_amplitude_switch(self):
for mode in ("periodic", "slot_reservoir"):
self.check(f"{mode} jet switch",
self.run_routes(mode, objects=[circle()], jets=[jet()], switch=-SPEED))
if __name__ == "__main__":
unittest.main()
@@ -15,7 +15,7 @@ import pycuda.driver as cuda
from CelerisLab.body.geometry.circle import CircleGeometry
from CelerisLab.body.objects import SimObject, SurfaceActuation
from CelerisLab.config import LBMConfig
from CelerisLab.cuda import compiler
from CelerisLab.cuda import compiler_v2 as compiler
from CelerisLab.lbm import curved_links
from CelerisLab.lbm.blocks import NO_DONOR, BlockLayout2D, blocked_link_tables
from CelerisLab.lbm.descriptors import D2Q9_EX, D2Q9_EY
@@ -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).
@@ -122,12 +121,12 @@ class BlockedFineCPU(unittest.TestCase):
raise AssertionError("zero-byte device allocation")
sizes.append(size)
return Mock()
with patch.object(cuda, "Stream"), patch.object(cuda, "mem_get_info", return_value=(1 << 40, 1 << 40)), patch.object(compiler, "generate_config"), \
with patch.object(cuda, "Stream"), patch.object(compiler, "generate_config"), \
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
@@ -172,15 +171,14 @@ class BlockedFineCPU(unittest.TestCase):
return functions.setdefault(name, Mock(side_effect=lambda *a, **k: calls.append((name, a))))
module = Mock(get_function=Mock(side_effect=get_function))
module.get_global.return_value = (Mock(), 20)
with patch.object(cuda, "Stream"), patch.object(cuda, "mem_get_info", return_value=(1 << 40, 1 << 40)), patch.object(compiler, "generate_config"), \
with patch.object(cuda, "Stream"), patch.object(compiler, "generate_config"), \
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=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.
@@ -103,8 +102,7 @@ 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)
@@ -158,31 +156,22 @@ 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"), patch.object(cuda, "mem_get_info", return_value=(1 << 40, 1 << 40)), bad, patch.object(cuda, "mem_alloc") as alloc, \
patch.object(cuda, "memcpy_htod") as upload:
with patch.object(cuda, "Stream"), patch.object(implementation.FixedPatch2D, "from_config",
return_value=replace(p, tau_coarse=.9)):
# The hierarchy rejects a pair tau that disagrees with its level config
# (hierarchy.py) before the per-level omega/tau check can be reached.
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()
PeriodicPatchStepper(cfg, p.bounds, context=context)
module = Mock()
module.get_global.return_value = (Mock(), 16)
with patch.object(cuda, "Stream"), patch.object(cuda, "mem_get_info", return_value=(1 << 40, 1 << 40)), patch.object(compiler, "generate_config"), \
with patch.object(cuda, "Stream"), patch.object(compiler, "generate_config"), \
patch.object(compiler, "compile_kernel"), patch.object(compiler, "cleanup_build_dir"), \
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 +245,7 @@ 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 +315,7 @@ 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 +346,7 @@ 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
@@ -20,7 +20,7 @@ import pycuda.driver as cuda
import CelerisLab
from CelerisLab.config import LBMConfig
from CelerisLab.cuda import compiler
from CelerisLab.cuda import compiler_v2 as compiler
from CelerisLab.cuda.context import CudaContext
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper, PeriodicPatchStepper
@@ -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()
@@ -16,7 +16,7 @@ from unittest.mock import Mock, patch
import numpy as np
import pycuda.driver as cuda
from CelerisLab.cuda import compiler
from CelerisLab.cuda import compiler_v2 as compiler
from CelerisLab.lbm.descriptors import SOLID
from CelerisLab.lbm.refinement import ACTIVE, FixedPatch2D, prepare_fine_boundary
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
@@ -36,14 +36,13 @@ def mocked(objects, jets, fine_block):
module = Mock(get_function=Mock(return_value=Mock()))
module.get_global.return_value = (Mock(), 20)
htod = Mock()
with patch.object(cuda, "Stream"), patch.object(cuda, "mem_get_info", return_value=(1 << 40, 1 << 40)), patch.object(compiler, "generate_config"), \
with patch.object(cuda, "Stream"), patch.object(compiler, "generate_config"), \
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=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):
@@ -52,38 +43,35 @@ def child_jet(speed=.002):
def mocked_child():
from CelerisLab.cuda import compiler
from CelerisLab.cuda import compiler_v2 as compiler
context = Mock(activate=nullcontext, sm_arch="sm_70")
module = Mock(get_function=Mock(side_effect=lambda name: Mock(name=name)))
module.get_global.return_value = (Mock(), 20)
with patch.object(cuda, "Stream"), patch.object(cuda, "mem_get_info", return_value=(1 << 40, 1 << 40)), patch.object(compiler, "generate_config"), \
with patch.object(cuda, "Stream"), patch.object(compiler, "generate_config"), \
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=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

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