Compare commits

..
168 changed files with 4617 additions and 8615 deletions
+45 -69
View File
@@ -112,21 +112,18 @@ 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.hierarchy.pairs[0].coarse_shape)),
np.broadcast_to(rest, (9, *run.hierarchy.pairs[0].fine_shape)))
run.initialize(np.broadcast_to(rest, (9, *run.patch.coarse_shape)),
np.broadcast_to(rest, (9, *run.patch.fine_shape)))
run.step(128) # coarse steps; fine level takes two per step
coarse_g, fine_g = run.download() # NaN on covered, ghost and solid cells
```
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.
- D2Q9, SRT, FP32, double buffer, unshifted, no LES or forcing; fixed 2:1 patch(es), two levels (or one nested third).
- `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 +131,46 @@ 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
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.hierarchy.pairs[0].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
as for one patch: each circle (same coarse cell-edge frame) must lie wholly
inside the union's active region with
- Several separated patches: pass a sequence of `(x0, y0, x1, y1)`
rectangles as `bounds`, at least 4 coarse cells apart, with both `fine_block`
and `base_block`. 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
patch windows (active region plus 4-cell ghost band, origin `(2*y0-4, 2*x0-4)`)
are stored; each window must align with `fine_block`. 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 one patch'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.
different bodies, even across patches. No wall-touching patches or nesting yet.
```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:
run.initialize(np.broadcast_to(rest, (9, *run.hierarchy.pairs[0].coarse_shape)),
np.broadcast_to(rest, (9, *run.hierarchy.pairs[0].fine_shape))) # (9, 32, 64)
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.
- Three levels (one nested 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
@@ -190,40 +182,24 @@ 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:
shapes = (run.hierarchy.pairs[0].coarse_shape, run.hierarchy.pairs[0].fine_shape, run.hierarchy.pairs[1].fine_shape)
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)
run.set_jet_amplitude(0, -.002, level=2) # explicit level selects the driven level
run.set_jet_amplitude(0, -.002, level=2) # default level=1 still addresses L1
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.
- 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,
torque and mass exchange in base-lattice units per unit depth, for the last
base interval (default) or `window="last_substep"`.
`observe_window_exchange=True`, alongside `observe_raw_exchange=True`, enables
`start_exchange_window()` / `read_exchange_window(body_id, level=...)` across
completed base intervals. These are raw boundary-reaction diagnostics, not a general
stress or nozzle-load accuracy claim; dense body layouts are unsupported.
- Not available: checkpoints, moving bodies, L1 bodies/Jets in a three-level
chain, automatic dynamic refinement, `Simulation` integration. Qualification
depends on the tested configuration; see [the validation scope](docs/validation/2d_scope.md).
CPU topology/schedule tests alone do not establish GPU numerical correctness,
general convergence or long-time stability.
- Not available: per-link surface exchange/force readout in blocked mode,
checkpoints, moving bodies, L1 bodies/Jets in a three-level chain,
several patches per level with nesting, dynamic refinement, `Simulation`
integration. Validation so far is storage/operator equivalence and short runs,
not accuracy, convergence or long-time stability. The new L2-body GPU gates
(layouts, masks, amplitude reversal, legacy equivalence) and independent
every-substep numerical replay remain required acceptance checks; CPU tests
alone do not establish GPU numerical correctness.
## Installation
-57
View File
@@ -1,57 +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.
## Redundant periodic stepper alias removed
`PeriodicPatchStepper` is no longer exported from `lbm.refinement_stepper`.
Use `FixedPatchStepper` with the same arguments, including explicit
`level_blocks`. The old name was an alias for that exact class; periodic
boundaries remain the default. Existing imports of the old name must be updated.
## 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.
## 7afb5ad: `Simulation` fails closed after a Jet amplitude device-write failure
`Simulation.set_jet_amplitude` previously only documented that a device error
leaves the per-link velocity column undefined; the instance stayed usable.
Now any error after input validation (internal stream creation or the upload)
marks the Simulation failed. Every later device-touching public method,
including the `stream` property (guard added in the follow-up repair commit on
`claude/jet-update-consistency`), raises
`RuntimeError("Simulation failed (...); close() and recreate it")`. The host
amplitude keeps its previous value. `close()` still works and stays retryable;
cached host readers and host staging calls are not blocked. Invalid input
(`ValueError`/`IndexError`) is unchanged: it raises before any change and the
instance stays usable. `FixedPatchStepper.set_jet_amplitude` already failed the
instance (status `failed`) and is unchanged.
@@ -1,62 +0,0 @@
# Selective LES normalization integration on dev8403956
This change reuses the reviewed correction from 5465832 without merging its
branch history. The only production change is the two closed-form coefficients
18 -> 18 sqrt(2) and their explanatory comments in turbulence_smag.cuh. Its SHA256
is a3db46c2e7d27530b2d1436e65cdbed0b72cc7e047bfbeef2a640877271b51aa.
Defaults, iterative/deviatoric/capped closure, collision dispatch, AMR guards,
and all other production source files are unchanged.
## Separate source contract; unchanged experiment
The single existing flow runner now accepts `--experiment dev8403956`.
Its separate source_pins_dev8403956.json pins all 101 production files from the
committed 8403956 baseline; corrected mode permits only the exact reviewed
header substitution. Results record the actual checkout commit, import path,
experiment name and manifest SHA256. No arbitrary manifest-path override exists.
Omitting the option still selects the original historical source manifest.
That manifest, the original paired receipts, scalar preparation manifests and
independent continuum oracle are unchanged. Historical baseline and corrected
receipts remain evidence for their own exact sources, not new dev receipts.
Historical guards intentionally reject this different dev source tree. Eight
production files already differed between the historical source snapshot and
8403956; neither the old manifest nor its acceptance is silently regenerated.
The physical experiment and every numerical acceptance threshold are unchanged:
8 x 34 nodes, halfway y walls, periodic x, unforced D2Q9/SRT, shifted FP32,
double-buffer streaming, Cs=0/.16/1, checkpoints 519/1038/2075. Each case has one
actual advancing warm-up followed by complete initial-state restoration before
READY. Total launches are 6,225 measured plus three warm-ups. Cs=1 remains an
amplified diagnostic, not a physical coefficient recommendation.
## Host checks
PYTHONDONTWRITEBYTECODE=1 python -m unittest discover -s tests/unit -p 'test_smagorinsky_normalization.py' -v
PYTHONDONTWRITEBYTECODE=1 python -m unittest discover -s tests/unit -p 'test_les_flow_*.py' -v
The direct-current-header test is copied unchanged from reviewed 5465832:
120 tensor parameter cases, Cs=0/equilibrium and omega guards, converged
trace-free iterative comparison, and mutation detection in both lattice
algebras. This is scalar D2/D3 algebra coverage, not 3D-flow qualification.
Flow tests retain analytic/reference checks and add current named-source,
reverse-patched baseline, variant rejection, unrelated-source tampering and
immutable historical-default checks. The temporary baseline is constructed
only inside a test directory; production is never reverse-patched.
## Pending final-commit GPU gate
After independent review and explicit executor authorization, run from the
exact committed candidate checkout, selecting the authorized physical GPU:
CUDA_VISIBLE_DEVICES=<physical-GPU> PYTHONDONTWRITEBYTECODE=1 python tests/validation/run_uniform_les_flow.py --root "$PWD" --experiment dev8403956 --variant corrected --run-gpu --device 0 --output <new-evidence-directory>/corrected.json
Retain all source hashes, exact commit/import/device identity, manifest hash,
three READY/reset records, complete result JSON, stdout/stderr and actual exit.
Require all frozen gates, DONE passed=true and exit 0. Compare with historical
corrected evidence without relabeling it as current evidence. The old-vs-new
normalization discrimination already exists; no new baseline GPU run is needed
unless review finds a changed exercised uniform solver path.
No GPU result is claimed by this integration preparation. This does not expand
LES qualification to MRT, forcing, AMR LES or three-dimensional turbulent flows.
@@ -1,57 +0,0 @@
# Experimental projected G explosion
`FixedPatchStepper(..., explosion="projected_linear")` changes only the existing
G-to-G explosion reconstruction. The omitted/default `"constant"` selector retains
the same kernel, launch arguments and device allocations. Projected mode adds two
compact tables per adjacent pair; recursion, collision, BFL, restriction, buffer
ownership and synchronized publication are unchanged. `remap_finest` preserves it.
Runtime eligibility is periodic-root, fully blocked D2Q9/SRT/FP32, body/Jet-free,
without LES; the fixed-patch backend has no forcing interface. Shifted and unshifted
storage use the same reconstruction. One generic builder handles scalar windows,
unique union rows and all adjacent hierarchy pairs without depth/rectangle caps.
Donors are original explosion donors intersected with owned, uncovered ACTIVE
cells. An axis uses centered differences only if both neighbors are legal;
otherwise both addresses repeat the center. Nested layout periodicity is explicit.
No covered cells, holes, inactive cells or stale halo copies enter the stencil.
The 33-line kernel is unchanged from our `519473a` experiment and retains its
mathematical attribution. Host tests cover union decomposition, concavity, narrow
gaps, grazing packet paths, offsets, sparse/nested owner addresses, three/four-level
source timing, unchanged constant dispatch, remapping and shifted/unshifted actual
kernel arithmetic compiled as host C++. These are not CUDA or flow validation.
## Reviewed bounded evidence
The `1aa8110` CUDA gate, with production exactly `a135252`, passed exact-dev
omitted/default and explicit-constant equivalence, per-population reconstruction,
scalar/union/four-level scheduling, alternate layouts, and changed remapping in
both storage modes. Operator maximum error was 2.98023224e-8; the eight-step
concave replay maximum was 1.58037614e-7. Whole-step mass/momentum remain
finite diagnostics, not an FP32 conservation certificate. Reviewed evidence:
`7aa66ff0542175092753ea099f40b903ece0527e`.
The fresh four-case `2cf9853` N128/256 Taylor–Green repeat retained all `11901a7`
settings and gates. All 20 main scalar rows and 260 early-pressure samples matched
the older receipts exactly; this is not field-array equality. Projected worst
velocity was 0.001995299260844 versus 0.002 (only 0.235% margin), pressure
0.012157174904932 and energy 0.001184362645162. Constant velocity
0.004418076615223 failed its gate, so the aggregate verdict remains false.
The projected early sampled pressure peak was 0.021621453573334; it remains a
descriptive sampled maximum. Reviewed evidence: `90849a55cad4a0da9b72747da7bfe6eb75962a44`.
The old N64 projected failures remain relevant. These results support only this
bounded plumbing gate and short periodic Re100 smooth-decay experiment. They do
not establish union/multilevel physics accuracy, convergence, long-time stability,
body/Jet, boundary, forcing, MRT or LES suitability. Constant remains the default.
## Separate LES source profile
The two older LES source manifests and the historical default are unchanged and
correctly reject this different source tree. The existing LES runner now offers
`--experiment a135252`, pinning all 101 actual committed corrected source files.
Its explicit baseline-header override describes only a synthetic isolated reverse
control, never the committed a135252 header. The unchanged corrected-only uniform
LES regression (Cs=0/.16/1) is the remaining integration gate; no LES result is
inherited from the projected evidence. The separate historical jet-CV `channel.py`
pin mismatch predates this port and is not addressed here.
-34
View File
@@ -1,34 +0,0 @@
# MRT reuse in blocked/refined stepping (candidate)
Base `9805383`. Opt-in by `LBMConfig(collision="MRT")`; SRT remains the default and its
kernel statements, including the shifted retained-delta/direct-momentum path, are unchanged
under the alternate compile branch.
## What changes
- `blocks.cu` (`BlockStep`), `step/block_channel.cu` (`BlockChannelStep`) and `refinement.cu`
(`patch_collide`) gain a compile-time `COLLISION_MODEL == 2` branch that repeats the uniform
`collide_dispatch` sequence with zero forcing: `compute_rho_u`, omega clamp to
`[OMEGA_COLLISION_MIN, OMEGA_COLLISION_MAX]`, `collide_mrt_no_force`.
- Kernel and host guards accept SRT or MRT only. TRT, LES, non-FP32 storage, non-double-buffer
streaming, and shifted dense/mixed refinement remain rejected.
- Transfers, subcycling, BFL, raw exchange ledgers and channel closures are untouched. The
existing pressure-NEQ outlet selects its MRT branch (unknowns-only NEQ extrapolation) from
`COLLISION_MODEL`, so MRT channel parity must use uniform MRT as reference.
## Contracts (existing operator, not redefined here)
- Shifted storage uses the existing MRT representation (equilibrium moments from `rho - 1`),
not the SRT retained-delta/direct-momentum precision. Mass and momentum are conserved
moments (relaxation rate 0).
- Kinetic rates are the operator's fixed `s_e = s_eps = s_q = 1.2` on every level; the shear
rate is the existing per-level omega. Under acoustic 2:1 scaling the physical bulk viscosity
therefore halves on each finer level. No rate rescaling is applied.
- 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=[])`.
## Evidence status
CPU: `tests/unit/test_refinement_mrt.py` (host guards, source contract). GPU:
`tests/validation/multigrid/test_refinement_mrt_gpu.py` (uniform-MRT channel parity, AMR MRT
smoke) and unchanged SRT GPU tests. Strict parity may be subject to cross-kernel FMA
contraction differences already documented for SRT. Not a DFG/benchmark validation.
+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`:
-62
View File
@@ -1,62 +0,0 @@
# src coherence stage (from main 914906e)
Owner direction 2026-10-28: unified style over historical compatibility, inside `src`.
No numerical change is intended; kernel text was moved verbatim (PTX/bit parity is
pending a GPU run).
## Conventions (defined once, in `lbm.hierarchy.Hierarchy`)
- Level `l = 0 .. depth-1` (0 = root). Pair `hierarchy.pairs[l-1]` builds level `l`.
- Array shapes are `(ny, nx)`; rectangles, origins and centers are `(x, y)`.
- FixedPatchStepper bodies/Jets use the root EDGE frame (root cell `i` = `[i, i+1)`);
uniform `Simulation` objects use the integer-NODE frame. Nothing converts between them.
- `Hierarchy.edge_frame(l)` -> `((ox, oy), h)`: cell `(i, j)` of level `l`'s allocated
array (ghost band and holes included) covers `[o + h*i, o + h*(i+1))`. A scalar
FixedPatch2D window carries the half-coarse-cell ghost shift `bounds - HALO/2` in
`fine_origin`; a set's level-wide grid has origin 0. Level 1 boundaries are built from
the root config (the wall-aware fields live there); deeper ones from the parent frame.
- `FixedPatch2D.fine_level_offset` (was `fine_level_origin`) is an array INDEX offset
`(y, x)`, not an `(x, y)` origin.
## FixedPatchStepper migration map
| removed / changed | replacement |
|---|---|
| `patch`, `child_patch` | `hierarchy.pairs[0]`, `hierarchy.pairs[1]` |
| `base_layout`, `fine_layout`, `child_layout` (stepper properties) | `layouts[0]`, `layouts[1]`, `layouts[2]` (`FixedPatchSet2D.fine_layout(block)` is unchanged) |
| `fine_boundary`, `child_boundary` | `boundaries[1]`, `boundaries[2]` (host geometry; `None` = no bodies/Jets) |
| `_jets` | `jets[1]` |
| `_boundaries[l]` (dict from L1, level keys) | `_level_boundaries[l]` (list from L0, `None` at L0 unless single-level static circles) |
| `_fine_tables`, `_actuated`, `_jet_cache` | `_level_boundaries[1].tables` / `.actuated` / `.jet_cache` |
| `_fine_leaf`, `_child_leaf` | `leaf[1]`, `leaf[2]` (copies) |
| `_middle_kind` | `hierarchy.kinds[1]` |
| `_boundary_hosts` (private) | `_boundaries` (private list behind `boundaries`) |
| `remap_child(rects, child_objects=...)` | `remap_finest(rects, objects=...)` |
| `set_jet_amplitude(i, a)` (implicit level 1) | `set_jet_amplitude(i, a, level=l)` (required) |
| `read_raw_exchange(b)` / `read_exchange_window(b)` (implicit level 1) | `read_raw_exchange(b, level=l)` / `read_exchange_window(b, level=l)` (required) |
| `_level_name(l)` "base/fine/child" messages | `"level l"` |
| `refinement.MIN_PATCH_GAP` | deleted (no gap policy exists) |
| `params.cuh HaloPlan`, `collide_trt_no_force` | deleted (zero references) |
Kept: `step_count`, constructor keywords (`refinements`, `level_blocks`, `level_objects`,
`level_jets`, `coarse_boundary`, `explosion`), `Simulation.set_jet_amplitude(i, a)` (one level),
`RemapTopology.from_config(..., child_objects=, child_jets=)` (internal remap helper; "child" =
the replaced level relative to its parent).
## Responsibilities
- Construction: `_check_levels` (inputs), `_kernel_configs` (per-level kernel configs),
`Hierarchy.edge_frame` (geometry frames), `_build_level` / `_build_pair` / `_upload_boundary`
(device). Observation reads share `_observed_boundary` + `_summarize`.
- Blocked kernels: `operators/block_collision.cuh block_collide` is the one collision extension
point of `BlockStep` and `BlockChannelStep`. MRT shares one path; SRT keeps its two explicit
arithmetic variants (level: unclamped, no-force, shifted direct-momentum feq; channel: uniform
OneStep arithmetic with omega clamp), selected by `BLOCK_ROOT_BC`.
- `explosion="projected_linear"` stays an optional capability; `"constant"` stays default.
## Not done / open
- No single-`Simulation` facade over FixedPatchStepper: the two own different state models
(uniform node frame, body sync, forcing, checkpoint vs. immutable blocked hierarchy, edge
frame, remap-as-new-instance). A facade would only forward calls; no concrete need found.
- Tests, examples and validation callers are migrated separately (pinned runners stay frozen).
-393
View File
@@ -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 |
+22 -34
View File
@@ -1,26 +1,23 @@
# Fixed three-level rectangle unions
# Fixed three-level separated patches
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
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.
`FixedPatchStepper` supports exactly three static, blocked levels with separated
rectangle sets on either adjacent pair. This is not general AMR: there is no
per-region timestep, moving geometry, dynamic refinement or L1 body support.
All regions share one current/spare buffer pair per level. The existing schedule
advances L0 once, L1 twice and L2 four times per base step, with aggregate transfers.
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)`.
@@ -33,23 +30,20 @@ are physically equivalent to parent set `[(4,4,12,12)]` with child set
`[(8,8,16,16)]`. Reusing the same numbers after changing the parent frame can
move the physical region.
Both adjacent pairs are built from their unions, without a fixed rectangle-gap
rule. Adjacent, overlapping and concave unions are accepted only when their
actual transfer dependencies close. The whole child union must preserve
inherited ACTIVE coverage, uncovered ACTIVE donors/receivers, surviving pulls, and the upstream
Both adjacent pairs require a Chebyshev gap of at least four in their own
parent-cell units. The whole child union must preserve inherited ACTIVE
coverage, uncovered ACTIVE donors/receivers, surviving pulls, and the upstream
restriction footprint. Sparse holes remain unowned; inherited INNER remains
stream-only and OUTER remains invalid. Block sizes must divide their allocated
level grids. Sparse storage owns every grid-aligned tile intersecting the union
plus its four-cell ghost band; rectangle and support edges need not align with
tile edges.
stream-only and OUTER remains invalid. Block sizes must align with every
support edge, including its four-cell ghost band.
## Example
```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)],
)
```
@@ -57,11 +51,11 @@ 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
`set_jet_amplitude(index, value, level=2)` (`level` is required); L1 bodies/Jets remain unsupported.
`set_jet_amplitude(index, value, level=2)`; L1 bodies/Jets remain unsupported.
## Verification
@@ -71,12 +65,6 @@ CPU geometry, table, pre-CUDA rejection, schedule and cleanup tests:
PYTHONPATH=src python -m unittest discover -s tests/unit -p 'test_refinement*.py' -v
```
`tests/unit/test_union_refinement.py` covers union dependencies and tile
ownership; `tests/unit/test_hierarchy.py` covers composed geometry through four
levels. `tests/unit/test_raw_exchange.py` checks the four-level host schedule
with CUDA mocks. These establish topology/control-flow coverage, not numerical
qualification at every depth or interface shape.
Explicit GPU gates are in
`tests/validation/multigrid/test_refinement_three_level_multipatch_gpu.py`.
They cover physical-frame equivalence, twins, asymmetric refinement, multiple
-26
View File
@@ -1,26 +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 blocked slot/reservoir root reads its slot from the `d_block_wall` constant (the former dense route used `WALL_*` macros; both were bit-identical in the parity gates). | 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_finest`), 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`). | Input (index, level, amplitude) is validated before any device write; invalid input changes nothing and the instance stays usable. The host copy commits only after the upload returned. Any error after validation leaves the device column undefined and fails the instance: `FixedPatchStepper` status `failed`, `Simulation._failed`; every later device-touching public method (`Simulation`: `stream`, `set_jet_amplitude`, `initialize`, `sync_bodies`, `run`/`step`, `read_surface_exchange`, `read_body(s)`, `get_macroscopic`, `get_ddf`, `update_runtime_params`, `snapshot`, `restore`, save/load checkpoint) raises; cached host readers and host-side staging (e.g. `get_flags`, `add_body`/`remove_body` before a sync) do not touch the device and stay callable. `close()` still releases resources and stays retryable. |
| 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`) were removed: `level_blocks` is
required and every refinement level is blocked.
A single-rectangle refinement (`FixedPatch2D`) is stored in its own fine
window frame (`FixedPatchStepper.__init__`,
`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`).
-89
View File
@@ -1,89 +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/blocked.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 | supported (every level is blocked); one representation on all levels | `lbm/refinement_stepper.py` `FixedPatchStepper._check_storage` |
| 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` |
| Refinement storage | blocked on every level: `level_blocks` is required, one tile `(by, bx)` per level dividing that level; a whole-level tile (`(ny, nx)` at the root, the fine window shape for one rectangle) always divides. Dense and mixed dense/blocked storage were removed (parity of D/D, D/B and B/B recorded at 1573942 and 2469af7) | `lbm/refinement_stepper.py` `_check_levels`, `FixedPatchStepper.__init__` |
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_finest`) | periodic three-level L2 sets only, no L0/L1 bodies, identical pinned boundary | `lbm/refinement_stepper.py` `FixedPatchStepper.remap_finest` |
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_finest`),
moving bodies on refined levels, pressure Jets, Jet checkpoints, LES or TRT on refined
levels, partial (non-dividing) tiles.
+29 -41
View File
@@ -1,15 +1,11 @@
# Synchronized leaf G remap and manual continuation
This is a CPU state-transfer component, **not a runtime adaptive solver**.
It changes only an L2 rectangle union in a three-level periodic hierarchy.
The body-free case is shown first; stationary L2 bodies/Jets follow the bounded
support contract below. L0/L1 topology, relaxation parameters, direction order,
It changes only a separated L2 rectangle set in a three-level, body-free,
periodic hierarchy. L0/L1 topology, relaxation parameters, direction order,
physical frame and completed time remain unchanged. Existing geometry checks
validate child support/nesting and actual transfer dependencies, without a fixed
rectangle-gap rule. The three-level remap limit is unchanged by the stepper's
arbitrary-depth level-list support. The CPU helper itself adds no CUDA,
scheduler, allocator, boundary handling, collision or ghost refill. A bounded
runtime adapter is described below.
validate child support/nesting and separation. The CPU helper itself adds no CUDA, scheduler, allocator, boundary handling,
collision or ghost refill. A bounded runtime adapter is described below.
```python
from CelerisLab.lbm.refinement import FixedPatchSet2D
@@ -33,13 +29,11 @@ origin is retained. Physical lower edges are `origin + spacing*(x,y)` on L0,
`origin + spacing*(parent.fine_origin + (x,y)/4)` on L2.
Factory options `coarse_boundary` and `objects` must declare `"periodic"` and
an empty collection; L2 bodies use `objects` as described below.
LBMConfig's channel settings do not select this operator's boundary mode.
Geometry metadata is factory-created;
an empty body collection (all levels). LBMConfig's channel settings do not
select this operator's boundary mode. Geometry metadata is factory-created;
manual mutation/forging of metadata is unsupported. Caller certifies the
actual state matches the declared boundary and has no forcing, that all device
work and old readers are quiescent, and that inputs are the **current owned-leaf
postcollision G**.
actual state has no bodies/forcing, that all device work and old readers are
quiescent, and that inputs are the **current owned-leaf postcollision G**.
Count/phase stamps check consistency, not freshness or active-buffer identity.
`current_g` is three NumPy Q-major arrays `(9,ny,nx)`. For blocked inputs,
@@ -77,12 +71,11 @@ PYTHONPATH=src python -m unittest discover -s tests/unit -p 'test_synchronized_r
## Explicit runtime continuation
`replacement = current.remap_finest(rectangles)` returns a new ready
`replacement = current.remap_child(rectangles)` returns a new ready
`FixedPatchStepper` at the **same absolute step_count**. It supports only
periodic three-level runs with no L0/L1 bodies and an existing L2
`FixedPatchSet2D`; stationary L2 bodies/Jets follow the support contract below.
Scalar or union L1 parents are supported; scalar `child=` is deliberately
rejected. L0/L1, relaxation and block sizes stay fixed.
body-free periodic three-level runs whose existing L2 uses
`child_rectangles_in_parent`. Scalar or union L1 parents are supported; scalar
`child=` is deliberately rejected. L0/L1, relaxation and block sizes stay fixed.
No tagger, scheduler, in-place replacement, or general rollback is provided.
The method holds the stepper lock, validates geometry, synchronizes its stream,
@@ -99,7 +92,7 @@ resources; an actual old-device synchronization/read failure marks the old
stepper failed, consistent with its existing failure semantics.
```python
replacement = current.remap_finest([(20, 16, 36, 40)])
replacement = current.remap_child([(20, 16, 36, 40)])
# Explicitly choose the returned continuation only after success.
current.close()
current = replacement
@@ -119,25 +112,24 @@ Per-population conservation is not an advancement target under collision.
### Bounded pinned-body extension
`replacement = current.remap_finest(rectangles, objects=original_objects)`
also accepts stationary Circles inside the L2 union. Each body's **physical
boundary, complete BFL support and current per-link velocity must remain
identical**. Rectangles are not pinned: they may be split, merged or resized,
and other fluid coverage may change, including within the same connected union,
provided that physical support is unchanged. Existing nesting, union transfer
dependencies, full-circle containment, reverse cut-link
coverage and two-hop BFL transfer-footprint checks still apply. This is manual
remapping, not adaptive body tracking or runtime body editing.
`replacement = current.remap_child(rectangles, child_objects=original_objects)`
also accepts stationary Circles in separated L2 rectangles. Every body’s
**complete containing rectangle must remain identical**. Several bodies may
share one pinned rectangle; there need not be any fluid-only rectangles.
Separated fluid-only rectangles may be added, removed or moved. Existing
nesting, four-cell gap, full-circle containment, reverse cut-link coverage and two-hop BFL
transfer-footprint checks still apply. This is manual remapping, not adaptive
body tracking or runtime body editing.
Supply all original root edge-frame definitions in their construction order.
Do not pass `current.boundaries[2].objects`: those are projected fine-local copies.
Do not pass `current.child_boundary.objects`: those are projected fine-local copies.
There is no retained mutable original-object registry. Before reading device
state, remapping reprojects the supplied definition onto the old topology and
compares exact ordered circle centers/radii, flags, physical cut links, body
IDs, q, lever arms, hits, BFL support,
legacy SurfaceActuation specification and current per-link velocity against
the existing boundary. Omission, changed geometry/actuation or changed physical
boundary/BFL support fail without device reads or allocations; reordered bodies fail
the existing boundary. Omission, changed geometry/actuation and changed body
rectangle fail without device reads or allocations; reordered bodies fail
too. Root object IDs are still assigned by list position, as in the constructor.
Jets are taken from the live L2 boundary, including the most recent successful
@@ -149,16 +141,12 @@ boundary and velocities must match exactly.
typed `FineBoundary2D`; it derives L2 fluid leaves as ACTIVE minus SOLID. No
caller mask is accepted. Solids, ghosts and holes are never donors and remain
NaN, physical-fluid overlap is exact, and exposed L1 still restricts all four
old fluid children. The helper checks old/new physical boundary and velocity
equality too. Its immutable `pinned_rectangles` is legacy containment metadata,
not a remap eligibility constraint; it may be empty for a seam-spanning body.
Scalar-parent window offsets remain part of the coordinate conversion.
old fluid children. The helper checks the old/new body pins and boundary too.
Its immutable `pinned_rectangles` is a canonical, deduplicated tuple, empty for body-free layouts; rectangle input
order does not affect it. Scalar-parent window offsets remain part of the
coordinate conversion.
Focused CPU mocks: `tests/unit/test_pinned_body_remap.py`.
`tests/unit/test_union_body_support.py` also checks seam-spanning circles,
rectangle repartition/resize, unchanged physical support and live-Jet
preservation. These host checks do not establish GPU evolution accuracy.
GPU declarations:
Focused CPU mocks: `tests/unit/test_pinned_body_remap.py`. GPU declarations:
`tests/validation/multigrid/test_pinned_body_remap_gpu.py`, covering no-op
next-step bitwise identity, moved-fluid A→B→A, current-amplitude preservation,
physical boundary/velocity equality, source independence and absolute counts.
-53
View File
@@ -1,53 +0,0 @@
# Bounded 2D implementation and validation scope
This inventory starts from dev `8403956a9afc0b0bb89265cec374392013d89016` and
integrates only the reviewed LES normalization production correction from
`95cb6d2b9f43c1bdd46cbf27f03f0dfc0877cfb0`. The merged production bytes match that
tested candidate exactly; the scope-test changes are retained from `53fad767`.
GPU receipts remain associated with their exact tested commits, not relabeled as
a new merged-commit run. Historical source identities and gates remain unchanged.
## Implementation boundaries
- Uniform D2Q9 supports SRT, TRT and MRT. An available collision selector does not
qualify every wall, inlet/outlet, forcing, storage or LES combination.
- Fixed refinement supports SRT/MRT, FP32 and double-buffer streaming; TRT and LES
are rejected. Shifted refinement requires all-blocked storage. Refined channel
boundaries have narrower configuration guards than uniform boundaries.
- Uniform checkpoints support compatible same-method continuation. Changing
collision or LES parameters is a different evolution, not exact continuation.
Jet checkpoints and refined checkpoints are unsupported; synchronized remapping
is not persistent restart.
- Keep these conclusions 2D. Local D3Q19 operator tests do not establish a supported
3D Simulation runtime.
## Evidence and remaining gaps
| Area | Available evidence | Boundary of the conclusion |
|---|---|---|
| MRT cylinder flow and observation windows | Full matched uniform/refined MRT DFG and the window-ledger campaign passed their frozen periodicity, reference and matched-comparison gates. The window campaign used `185a919`; its MRT/no-LES numerical path remains unchanged. Current dev also contains independently scoped test/documentation changes and the LES correction, which do not extend MRT qualification. | This does not qualify other collision/boundary combinations or every refinement interface. Timing improvements are not additional accuracy evidence. |
| Uniform forced channel | Six Poiseuille GPU cases on `8403956`: SRT/TRT/MRT at wall-normal resolutions H16/H32 passed. | This is the tested analytic channel configuration, not open-boundary or all-layout qualification. |
| Uniform restart | Ten SRT/MRT checkpoint GPU tests passed on `8403956`; the separate representative TRT same-method double-buffer continuation GPU case also passed (one test). | This covers the tested same-method continuation configurations. No LES, Jet or refined checkpoint claim follows. |
| Taylor–Green refinement | Independent topology checks are available. The actual-rate phase GPU regression passed one test across two layouts, with errors 1.584e-7 and 4.500e-9. | The physical interface-accuracy gap remains open. Passing topology and phase checks does not establish convergence or close that accuracy gate. |
| Porous Couette and annulus | Prior campaign evidence exists and must remain associated with its original setup and source. | The reconstructed annulus is a validation helper, not qualification of a public boundary-condition API. Do not infer absence of evidence from a missing current rerun. |
| LES normalization | The reviewed correction is integrated. Exact `95cb6d2` GPU validation passed all nine observations and frozen gates, with three warm-up/reset records, verified 101-source/import identity, DONE and exit 0. Last two SGS decrement relative errors were 6.276e-4 and 6.124e-5 against the unchanged 0.15 gate. | Scope is unforced uniform D2Q9/SRT, shifted FP32, double-buffer streaming and the tested wall-bounded x-periodic shear. No TRT/MRT LES, forcing, EsoPull, objects, refinement or 3D turbulence qualification follows. |
Historical uniform SRT cylinder-startup and inlet-rounding findings remain separate
from the passed MRT DFG result. Raw exchange/window consistency is a measurement
contract, not a general stress or force-accuracy certification. Existing source-pinned
runners may intentionally reject a newer checkout; never silently repin old receipts.
## Remaining work
The related host checks passed (67 checks); they do not replace the GPU or
physical-accuracy evidence above. Preserve the existing SRT checkpoint cases,
historical LES manifests and all frozen numerical criteria.
Continue the TG accuracy investigation using its actual fine-level rates and
the established analytic convention. Keep the physical accuracy gate open until
the relevant comparison passes. Review this integration independently before
publication; no new merged-commit GPU run is claimed here.
No repeat of the accepted full MRT DFG or Cartesian expansion across unsupported
combinations is required by this document. Main integration remains a separate
review of complete, bounded feature scope.
-49
View File
@@ -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`.
-71
View File
@@ -1,71 +0,0 @@
# Matched MRT DFG pilot preparation
Preparation only: this test-only extension reuses the existing runner and existing MRT
operator. GPU admission awaits reviewed MRT capability results; no pilot/full execution
is implied by CPU preflight. No production, historical SRT manifest, reference data,
periodic gate, geometry, initialization or observation algorithm is changed here.
## Selection and provenance
Use `--collision MRT` for **both** uniform D80 and refined root D40/fine D80. There are
no independently selectable collision models per case. Default remains SRT.
MRT verifies `data/refined_dfg/source_manifest_mrt.json`, pinned to reviewed numerical
source snapshot `3ea131e92c057843034f11a1c574301a2430dfce`, including the shared geometry,
pressure/cycle helpers and official reference. Test-only commits may change HEAD without
changing this numerical source pin. Plan, READY, case summaries and comparison separately
record `checkout_revision` and `checkout_dirty` using existing source-provenance helper;
the runner hash remains separate. Collision is recorded in every receipt, and full-mode
validation rejects missing or different collision labels in plan, either summary or either
READY receipt, in addition to existing source/runner/health/time checks.
The historical SRT manifest remains byte-for-byte unchanged. SRT on the MRT candidate
checkout deliberately fails that source pin; use a matching historical checkout via
`--source` for SRT. No fallback or automatic repinning is permitted. Historical SRT
failure/diagnostic evidence remains attached to its original source and runner hashes;
it cannot authorize an MRT full run. The existing failed-observation step-reporting
undercount is not changed in this narrowly scoped selection patch.
## Frozen physical comparison
All settings remain those documented in `refined_dfg.md`: U_lattice=.01, physical mean
U=1 m/s, D=.1 m, shear ν=.001 m²/s, fixed physical domain/body/wall planes, patch
(40,24,320,140), shifted FP32 double buffers, no LES/forcing/Jets, finest dx=.00125 m,
finest dt=.0000125 s, unchanged half-cell frame conversion and axis-specific phase.
Force interval accumulation, physical leaf mass, pressure interpolation, flux sampling,
safety thresholds, t*=5 pilot and t*=300 cap are unchanged. Existing accuracy/periodicity
criteria are imported unchanged. Both MRT cases are fresh runs; old MRT or SRT results
are not substituted as controls.
Both cases use the **existing MRT pressure-NEQ branch**: only unknown directions q2/6/8
are extrapolated. This differs from SRT's all-nine .5-damped branch; the retained
`srt_neq_damp=.5` configuration value is inactive under MRT. Backflow clamp remains off.
The outlet is still noncanonical relative to exact DFG do-nothing conditions.
The reused MRT operator keeps fixed kinetic rates `s_e=s_eps=s_q=1.2` on all levels;
only the shear rate follows existing per-level viscosity. Physical bulk relaxation
therefore differs between coarse and fine levels. Transfer operators and subcycling
are unchanged. This is the candidate's declared behavior, not a new fully mode-scaled
MRT transfer scheme. Do not tune rates, the patch or gates after seeing outcomes.
Capability smoke/parity gates do not establish DFG accuracy or speedup.
## CPU and admission commands
From this checkout:
```sh
python tests/unit/test_refined_dfg.py
python tests/validation/run_refined_dfg.py --collision MRT --mode plan --output /tmp/new-mrt-dfg-plan
```
After root verifies the candidate MRT root/parity/refinement capability results and admits
an idle device, the paired pilot may use the existing bounds and external watchdog:
```sh
CUDA_VISIBLE_DEVICES=<admitted-device> timeout --signal=TERM --kill-after=30s <hard-budget>s python tests/validation/run_refined_dfg.py --collision MRT --mode pilot --gpu-gates-approved --max-wall-seconds <soft-budget> --output <new-mrt-pilot-directory>
```
The flag is caller attestation, not evidence. An unhealthy first case prevents the second.
Existing strict pilot receipt validation and calibrated wall-time controls remain; full
mode is not being admitted as part of this preparation. Root must review both healthy
pilot outcomes and separately decide any full-run admission.
-58
View File
@@ -1,58 +0,0 @@
# Refined DFG MRT timing harness (measurement only)
`tests/validation/time_refined_dfg.py` times the matched MRT refined/uniform DFG Re100 setup of
`run_refined_dfg.py` (same configuration, geometry and initial state functions). No numerical,
physics-gate or production change; no force or accuracy result is produced.
| Variant | Loop | Force reads |
|---|---|---|
| A | refined `step(1)` + `read_raw_exchange` per base step | runner-like force-read workload (values discarded) |
| B | refined `step(1)` only, no host reads (`observe_raw_exchange` stays on) | timing-only |
| C | refined single `step(N)` | timing-only; ledger keeps the final base interval only |
| E | uniform `sim.run(<=100)` + `read_force` | runner-like force-read workload (values discarded) |
| E' | uniform single `sim.run(2N)` | timing-only; at most a whole-window average, different summation order |
- No variant retains a valid force history; A/E omit the runner's interval aggregation and
validation, and no variant includes macro/probe/CSV costs. Results are not full benchmark
throughput.
- Status lines: `CONSTRUCTED` (construction/JIT complete) and `WARM_READY` (first warm-up and
health check passed) per case.
- Equal simulated duration: N refined base steps vs 2N uniform D80 steps.
- Every repeat starts from the same fresh state (refined `initialize`, uniform `snapshot/restore`)
and the same warm-up; construction/JIT, warm-up, downloads and parity checks are untimed.
- The actual stepping stream is synchronized explicitly before and after each timed loop; the
wall timer (`time.perf_counter`) is the only source. No CUDA-event span is called kernel time.
- `--max-wall-seconds` is required for GPU runs (outer timeout, checked between variants and
every 100 steps in per-step loops).
- Final populations and NaN masks must be bitwise identical to the first A repeat (A/B/C) or the
first E repeat (E/E'); refined and uniform grids are never compared. Leaf/fluid populations
must be finite. Physical health (finite leaf/fluid macros, rho in [0.5, 1.5], max Mach <= 0.2,
the existing runner limits) is checked after warm-up and after each timed window. Matching NaN
is accepted only as a storage mask; any infinity or level-count mismatch fails parity. All
parity/health checks are untimed.
- Cases run sequentially (uniform, then refined) in one process with startup serialized;
variants are interleaved within each repeat. A-B and B-C are measured comparative
differences under GPU variability, not exact causal decompositions.
Usage (root selects one verified idle GPU):
PYTHONPATH=src python -m unittest tests/unit/test_time_refined_dfg.py
python tests/validation/time_refined_dfg.py --output <new> --plan
CUDA_VISIBLE_DEVICES=<gpu> python tests/validation/time_refined_dfg.py --output <new> --max-wall-seconds <s>
Defaults: 2000 base steps, 200 warm-up base steps, 3 repeats. Profiler capture and the
`observe_raw_exchange=False` variant are deferred until these measurements exist.
## A versus observation-window ledger (`tests/validation/time_window_dfg.py`)
Measurement-only comparison on the same shifted-MRT refined setup: A (per-base `step(1)` +
`read_raw_exchange`, summed per 80-base-step interval), W (`start_exchange_window`, `step(80)`,
one window read) and W1 (window with 80 x `step(1)`, isolating the read pattern from call
batching). Same fresh state, warm-up and simulated duration; populations must be bitwise equal
to the first A repeat and per-interval total impulses within the documented engineering
tolerance, all outside timing. The candidate source is recorded (checkout revision, dirty flag,
file hashes); frozen refined-DFG manifests/results are not used or changed.
PYTHONPATH=src python -m unittest tests/unit/test_time_window_dfg.py
python tests/validation/time_window_dfg.py --output <new> --plan
CUDA_VISIBLE_DEVICES=<gpu> python tests/validation/time_window_dfg.py --output <new> --max-wall-seconds <s>
-117
View File
@@ -1,117 +0,0 @@
# Opt-in observation-window ledger in the DFG runner
This test-only integration adds `--exchange-window` to `run_refined_dfg.py`. It uses the
existing production ledger; no collision, boundary, transfer, physical setup, reference,
periodicity gate or acceptance threshold changes. Default remains the historical
per-base-step observation path. Uniform stepping/force accumulation is unchanged.
For the refined case, each existing observation interval opens a new ledger at completed
base step `begin`, advances exactly the same `n` base intervals, and reads the integrated
root-lattice impulse for `[begin, begin+n]`. The contract requires root units, `window`
kind, `2*n` fine samples, matching endpoints, and fine dt=.5. The existing coefficient
calculation still divides this impulse by `n` and `.5*U_lattice**2*D_root`; force timestamps
remain `(begin+n/2)*U_lattice/D_root`. It does not divide an already averaged force again.
Pressure/macro/physical-leaf mass measurements and safety checks remain at the original
interval end. Pilot interval is 80 root steps; early full-run intervals remain 2000, and
any final shortened interval uses its actual `n`.
The opt-in uses one `step(n)` call and one window read per observation, rather than `n`
Python calls/readbacks. Internal subcycling and per-base synchronization remain owned by
the same backend. Cooperative deadline checks surround that complete interval; unlike
the default path they cannot interrupt between base steps inside `step(n)`. The existing
external hard watchdog is still required. The full-run cadence/cap is documented here,
but this preparation does not admit a full run or a GPU operation.
## Provenance and receipt separation
`source_manifest_window.json` pins the reviewed a233c9032487a6006e950d1e327079b00466c410
snapshot (production ledger origin d930) plus existing helper/reference files. Both SRT
and MRT are supported by this explicit opt-in source pin; collision selection remains
independent and shared by the two cases. Existing SRT and MRT manifests are untouched.
Default mode continues to reject the changed candidate under those historical pins;
use a matching historical `--source` checkout to run its default path. There is no
silent repinning, source fallback, or reuse of historical outputs as candidate evidence.
Plan, READY, summaries, timeout/comparison receipts now record `observation_mode` as
`last_base_step` or `window`, alongside collision and actual checkout provenance. On a
uniform receipt this labels its **paired campaign's refined observation mode**, not a
change to uniform observation. Full-mode pilot validation rejects missing or mismatched
mode labels in the plan, either case summary, and either READY receipt. Source/runner
hash, collision, completeness and health checks remain. Cross-mode pilot reuse is denied.
The earlier short A/W/W1 timing/capability evidence is not a full-run speedup or accuracy
claim. Mathematical impulse integration/units are unchanged; floating-point reduction
order can differ, so bitwise equality of force sums is not promised. Physics acceptance
continues to use the existing frozen gates. Historical failures/results are untouched.
CPU preparation commands, from the repository root:
```sh
python tests/unit/test_refined_dfg.py
PYTHONPATH=src python -m unittest tests.unit.test_raw_exchange_window tests.unit.test_time_window_dfg -v
python tests/validation/run_refined_dfg.py --collision MRT --exchange-window --mode plan --output /tmp/new-window-dfg-plan
```
Root must independently review and admit any execution. An admitted paired pilot uses
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.
@@ -0,0 +1,72 @@
# One bounded bodyless SRT inlet control
Preparation only; review precedes any GPU admission. This test-only opt-in is based on
8e378aa047bb35ae4ec46037eff7256bd2f074e7. Historical first-health evidence and its source
manifest are untouched. The control calls the same pinned D80 config factory and uses
unchanged production `Simulation.initialize()` / `run(1)`; `--without-cylinder` changes
only the single cylinder object list to empty. No profile, wall/source plane, domain,
collision, relaxation, speed, representation, step cap, health limit or field observation
is adjusted. SRT tau=.524 and the existing inlet/outlet remain as in the failed run.
Production already supports zero objects through `ensure_packed_buffers`. The absent
body has no force observable: the control never calls `read_force(0)`, records `force:null`
and `force_observation:not_applicable_no_body`, and does not invent a zero force. Physical
population/macro/Mach/density checks remain intact. Existing per-step diagnostics, first
health crossing, immediately preceding/current raw+decoded state capture, 128 MiB budget,
external watchdog and maximum 320 steps remain unchanged. No extra baseline run is needed.
Removing the cylinder necessarily turns its former solid cells into fluid. Those cells
receive the same production parabolic fluid initializer; shared fluid and boundary-ghost
cells retain the original initializer and configuration. This is not a transplant of the
baseline's solid-cell state into new fluid. Removing the body also removes its cut links
and specializes the existing kernel for zero objects, as ordinary Simulation already does.
The spatial `body_near` category is retained only as the **former-cylinder neighborhood**
for comparing locations. It does not claim an actual body is present; body-solid flag
counts should be zero in the control.
## Explicit identity and source checks
The unchanged manifest still pins numerical source 9805383, as used by the baseline8e
harness. The new test-only HEAD does not pretend to be that historical run. Preflight,
READY and diagnostic/result records include the control label, original baseline harness
commit, new diagnostic checkout revision/dirty status, selected numerical checkout
revision/dirty status, and new diagnostic file hash. Production/helper bytes are verified
against the original manifest before either case. A later development checkout with
changed numerical files is rejected; the old pin is not silently accepted or regenerated.
The default cylinder case remains available for compatibility, but this requested control
uses only `--without-cylinder` and a distinct new output directory.
## Interpretation before seeing outcomes
- Similar early inlet-region failure without a cylinder: cylinder presence is not
necessary for this observed short-time instability under these settings. This supports
investigating inlet/collision/kinetic-state dynamics; it does not prove a specific
boundary defect or exclude other shared boundaries/initialization effects.
- No health violation through 320: removing the body changes the observed onset, consistent
with a body-generated transient or altered amplification interacting with the inlet.
This does not prove the cylinder is erroneous, establish inlet stability beyond320,
or certify SRT generally.
- Different failure location/time: geometry affects the transient; classify the preserved
incoming distributions and moments before assigning any mechanism.
The baseline failed at196 on finite Mach>.2, not nonfinite state. A control can likewise
stop on a finite threshold crossing. Do not describe either as a NaN blow-up unless the
separate diagnostic flags establish that.
CPU-only checks:
```sh
python tests/validation/uniform_srt_diagnostic/test_diagnostic.py
python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --without-cylinder --output /tmp/new-bodyless-preflight
```
After review and root admission, from the explicitly recorded test checkout:
```sh
CUDA_VISIBLE_DEVICES=<admitted-device> timeout --signal=TERM --kill-after=30s 240s python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --without-cylinder --execute --gpu-admitted --wall-seconds 180 --output output/new-srt-bodyless-control
```
This patch performs no GPU run or remote push. Original runner gates/results and
production files are unchanged. The extra tests verify removal-only selection without
mutating inputs, reject unexpected object sets, verify absence of force readback, and
retain physical health failures when force is unavailable.
+31
View File
@@ -0,0 +1,31 @@
# Fixed-window inlet history (test-only)
Opt in with `--record-inlet-history`, together with `--without-cylinder` for the requested control. Default execution still retains only the original first-health pair. This followup is based on bodyless diagnostic `66a27410504fef477808d6079ce79ca1ae6b903c`; the numerical source manifest remains unchanged at `9805383f9c50d867e8555471baf5dbda8333a652`. Actual diagnostic/numerical checkout revisions and script SHA256 are recorded separately.
The requested observation window is **completed steps 0 through 196 inclusive**. Recording stops after196, but evolution continues under the original first-health/320-step/wall-time stop behavior. An earlier failure preserves the recorded prefix, including its failing observation. `complete_for_requested_window` means all197 requested frames exist; it never means complete history past196. `diagnostic_terminal_step` records the terminal observed step separately.
`inlet_history.npz` contains:
- `raw_shifted[time,q,y,x]`: unchanged FP32 bits, all9q, all330 rows, x0..3, copied from already-existing active-buffer raw snapshots.
- Static uint16 `flags[y,x]`, global x/y indices, contiguous int64 `steps`.
- `time_s=steps*dt` and `tstar=steps*mean_speed/diameter`, plus requested range and diagnostic terminal step.
- Step zero is the initialized state; subsequent states are completed postcollision active-buffer observations. Ghost/solid flags remain distinct from physical-fluid health checks.
Full configuration, physical parameters and source identity remain in `preflight.json`; `diagnostics.json` adds the history SHA256, size, window and completeness receipt. No additional full-field copies or solver calls are introduced. The new history copies only x0..3 from the baseline's existing raw snapshot. Baseline two-state evidence and health gates remain intact.
The full requested raw payload is9,361,440 bytes (8.928MiB). Flags, time arrays, coordinates and NPZ overhead keep it below12MiB. Initialization checks the fixed-window allocation against that bound with64KiB overhead reserve, and saving checks actual artifact size. This fits inside the existing128MiB total evidence cap with the original pair. The12MiB limit is an artifact-size bound, not peak RAM: the retained strip list and stacked output briefly coexist. There is no variable compression/overflow policy.
CPU checks:
```sh
python tests/validation/uniform_srt_diagnostic/test_diagnostic.py
python tests/validation/uniform_srt_diagnostic/test_history.py
python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --without-cylinder --record-inlet-history --output /tmp/new-inlet-history-preflight
```
After independent review and root GPU admission, from this exact test checkout, with a new output directory:
```sh
CUDA_VISIBLE_DEVICES=<admitted-device> timeout --signal=TERM --kill-after=30s 240s python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --without-cylinder --record-inlet-history --execute --gpu-admitted --wall-seconds 180 --output output/new-srt-inlet-history
```
The homogeneous linear surrogate is a separate analysis artifact. This history will allow comparison with actual startup, including initialization mismatch and wall-junction propagation; neither the recorder nor the surrogate changes a boundary or establishes a corrective scheme. No GPU run is included in this commit.
+52
View File
@@ -0,0 +1,52 @@
# First-failure uniform SRT diagnostic (prepared, not executed)
Purpose: locate the first physical failure in the unchanged uniform D80 SRT control that was healthy at executed step 160 and nonfinite at the next observation, executed step 320. The original failure's summary `steps=160` is the last accepted observation, not the last executed step. This diagnostic does not select different numerical parameters, run an AMR case or perform a new benchmark campaign.
## Exact source and configuration
The default source is the containing repository (override with `--source`); the exact pinned production/runtime source is commit `9805383f9c50d867e8555471baf5dbda8333a652`. The manifest pins production files and the helper/runner dependencies directly against the original failure's `source_before.json`. All pinned contents match. Import guards require CelerisLab and the runner from the selected pinned checkout.
The script calls the original `run_refined_dfg.config(helper,80)` factory and unchanged `Simulation(...).initialize()`. Thus it retains D80, U=.01, ν=.008, τ=.524, ω≈1.9084, shifted FP32, SRT, double buffer, parabolic local Zou–He inlet, all-nine pressure-NEQ damping .5, backflow clamp disabled, identical cylinder geometry and initialization. No clipping, equilibrium rewrite or solver patch is added.
The inlet overload in this source may differ by FP32 rounding from older d79 code even where the algebra matches; that is not changed here and is not established as the cause of failure. MRT's outlet branch also differs. Neither prior MRT success nor this diagnostic establishes an SRT/outlet/body attribution.
## Observation and stop contract
- At most 320 actual solver steps, starting from the original fresh initialization. Stop at the first physical health failure (or wall deadline).
- Read the production macroscopic path, its decoded populations, and force after every completed step. Preserve the actual executed count separately from the last observed count.
- Independently report nonfinite physical populations, nonfinite physical macros and nonfinite reaction. Apply the original density [.5,1.5] and Mach≤.2 checks to physical FLUID nodes. A new population-only check may stop earlier than the original macro-only health check; the report explicitly distinguishes it.
- Per-step `Simulation.run(1)` resets/reads the observation buffer for a one-step force window. This changes observation cadence and force accumulation windows, not configuration or fluid updates. A cumulative-force-only overflow from the original 100/60-step batching would not be reproduced identically; that limitation is explicit. Original macro warnings already show nonfinite populations/macros, so this instrument prioritizes locating the physical failure.
- Ghost/inactive/body-solid populations are reported in separate categories; their NaNs do not independently trigger physical failure. Category masks are disjoint and complete. Boundary subtypes are decoded as the nibble, not mistaken for independent bit flags.
- Physical region labels are body-near (within radius+3 cells), outlet/inlet-near (three fluid columns), wall-near (three fluid rows), and remaining bulk. These locate symptoms, not causal mechanisms.
- Initial, preceding and firstbad/final compact reports retain category counts, finite global extrema and positions, the first 16 offending nodes in row-major order, their bad q indices/all populations, and up to four 5×5 population/flag neighborhoods. “First” identifies earliest sampled step; within that step the list is row-major, not an asserted temporal order among GPU threads.
## Bounded evidence
Only the immediately preceding and firstbad/final active-buffer states are retained. `states.npz` contains their exact raw shifted FP32 values, production-decoded FP32 populations and step numbers, plus flags. This is ~81 MiB at the exact D80 shape, with a 128 MiB artifact limit enforced. There are no saved field trajectories. Initial conditions are reproducible from the source/config; only their diagnostic summary is retained.
These are diagnostic snapshots, not full restart checkpoints (spare buffers and observation/control state are not a restart bundle). `diagnostics.json` stores nonfinite numbers as explicit `NaN`, `+Inf`, `-Inf` strings and is strict finite JSON; NPZ preserves actual IEEE values. A force-only failure can have no offending fluid node. A clean cap means no sampled failure through 320, not benchmark acceptance.
## CPU validation
```sh
python tests/validation/uniform_srt_diagnostic/test_diagnostic.py
python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --output /tmp/new-srt-preflight
```
Seven CPU-only tests pass: source/config, complete category partition, inactive nonfinite exclusion, independent population/macro/force reasons, health thresholds, bounded two-state artifact writing, and deadline/source guards. `py_compile` and the real-source default preflight pass. No CUDA import is required by preflight/tests and no GPU was executed here.
## Root-only admitted execution
After independent review and root GPU admission:
```sh
CUDA_VISIBLE_DEVICES=<admitted-device> timeout --signal=TERM --kill-after=30s <hard-budget>s python tests/validation/uniform_srt_diagnostic/diagnose_uniform_srt.py --source <exact-9805383-checkout> --execute --gpu-admitted --wall-seconds <soft-budget> --output <new-output-directory>
```
The external watchdog is required for a blocked CUDA call; cooperative wall checks cannot interrupt one. Budget should allow per-step downloads and ~81 MiB evidence writing; this diagnostic is not a performance measurement. The step ceiling cannot be increased by a CLI flag. `READY` is emitted after the first completed step and all observation paths. First physical failure is expected diagnostic evidence and returns exit 2; step cap returns 0. `preflight.json` records the pre-execution configuration, not a completion receipt.
Original failure files, production source, original pilot runner and gates are untouched. This test-only handoff is based on exact commit 9805383; added diagnostic files are not part of the historical failure source manifest.
## Historical reporting undercount (not changed here)
The failed pilot executed to step 320 before its second observation failed. Its summary `steps=160` reflects `begin`, which advances only after an accepted observation. This is a reporting undercount, not evidence that the second batch did not execute. The original failure package and runner/gates are preserved unchanged. This diagnostic records both `executed_steps` and `observation_step`, and labels previous-state steps explicitly. Fixing the historical runner's reporting is a separate change.
+13 -15
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.
@@ -40,13 +40,13 @@ def config(mode):
def leaf_masks(run, mode):
"""Known fluid leaves: uncovered coarse cells (minus wall rows in slot mode)
and fine ACTIVE cells outside the body."""
p = run.hierarchy.pairs[0]
p = run.patch
x0, y0, x1, y1 = p.bounds
coarse = np.ones(p.coarse_shape, bool)
coarse[y0:y1, x0:x1] = False
if mode == "slot_reservoir":
coarse[[0, -1]] = False
solid = (run.boundaries[1].flags.reshape(p.fine_shape) & SOLID) != 0
solid = (run.fine_boundary.flags.reshape(p.fine_shape) & SOLID) != 0
return coarse, (p.fine_kind == ACTIVE) & ~solid
@@ -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:
p = run.hierarchy.pairs[0]
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)
+4 -7
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'),
@@ -150,10 +148,9 @@ 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:
p = run.hierarchy.pairs[0]
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
masks[0][4:28, 16:32] = False
+3 -4
View File
@@ -16,7 +16,7 @@ from CelerisLab.config import load_lbm_config
from CelerisLab.cuda.context import CudaContext
from CelerisLab.lbm.equilibrium import compute_feq_d2q9, compute_macro_from_ddf
from CelerisLab.lbm.refinement import ACTIVE
from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
from CelerisLab.lbm.refinement_stepper import PeriodicPatchStepper
def shear_equilibrium(shape, origin, dx, period):
@@ -48,9 +48,8 @@ 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, FixedPatchStepper(cfg, context=context, refinements=[(4, 4, 12, 12)],
level_blocks=[(16, 16), (24, 24)]) as run:
p = run.hierarchy.pairs[0]
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)
coarse_leaf = np.ones(p.coarse_shape, dtype=bool)
+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],
+7 -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
@@ -32,6 +32,7 @@ INLET_SCHEME_MAP = {
"channel_stabilized": 1,
"equilibrium": 2,
"regularized": 3,
"experimental_regularized_full9": 4,
}
OUTLET_MAP = {"neq_extrap": 0, "zero_gradient": 1, "blended": 2}
Y_WALL_BC_MAP = {"bounce_back": 0, "free_slip": 1, "on_site_velocity": 2}
@@ -162,6 +163,11 @@ class LBMConfig:
raise ValueError("wall_slot_width requires on_site_velocity and velocity=0")
if self.top_wall_bc == "reservoir" and (self.y_wall_bc != "on_site_velocity" or self.velocity != 0):
raise ValueError("reservoir requires on_site_velocity and velocity=0")
if self.inlet_scheme == "experimental_regularized_full9":
if (not self.is_d2q9 or self.collision != "SRT"
or self.streaming != "double_buffer" or self.store_precision != "FP32"
or self.les_enabled or self.y_wall_bc != "bounce_back"):
raise ValueError("experimental_regularized_full9 requires D2Q9/SRT/FP32/double_buffer, bounce_back walls, no LES")
if self.y_wall_bc == "on_site_velocity":
if (not self.is_d2q9 or self.collision != "SRT"
or self.streaming != "double_buffer" or self.store_precision != "FP32"
+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"]
@@ -1,13 +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 (every blocked level, single or refined).
"""
from __future__ import annotations
@@ -18,6 +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
@@ -34,6 +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)
@@ -52,16 +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")
@@ -71,19 +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
@@ -95,9 +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
@@ -161,9 +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']}
@@ -240,9 +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()
@@ -267,36 +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)
+2 -2
View File
@@ -1,4 +1,4 @@
"""Host contract for the blocked root's uniform SRT/MRT channel boundary.
"""Host contract for the blocked root's uniform-SRT channel boundary.
Boundary ghosts are evolved state, but are not physical fluid leaves. Halo
ownership remains periodic to reproduce the uniform kernel's wrapped pulls.
@@ -29,7 +29,7 @@ def validate_channel_config(cfg, blocks):
def validate_channel_transfers(pair, layout, targets):
"""Reject actual exchange/closure overlap, not a padded geometric envelope.
Explosion donors and restriction receivers must use ordinary bulk collision
Explosion donors and restriction receivers must use ordinary bulk SRT
semantics. Restriction writes receiver-local source slots; these may not
overwrite the channel's extra immutable-input reads (pressure donor and
same-node halfway-wall corrections). The slot check deliberately respects
+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.
+3 -25
View File
@@ -21,17 +21,7 @@ from .refinement import (ACTIVE, OUTER_GHOST, FixedPatch2D, FixedPatchSet2D,
@dataclass(frozen=True, eq=False)
class Hierarchy:
"""configs[l]: validated LBMConfig of level l; pairs[l]: tables of (l, l+1);
kinds[l]: composed per-cell kind (child coverage OUTER on every non-finest level).
Index conventions (the single place they are defined):
* level l = 0 (root) .. depth-1; pair index p = l-1 builds level l from level p;
* array shapes are (ny, nx); rectangles, origins and centers are (x, y);
* the root EDGE frame puts root cell i at [i, i+1), centers at i+.5 (bodies and
Jets of FixedPatchStepper); uniform Simulation objects use the integer-NODE frame;
* cell (i, j) of level l's allocated array (ghost band and holes included) covers
[o + h*i, o + h*(i+1)) with (o, h) = edge_frame(l); level 1 is built from the root
config directly, deeper levels from their parent frame (see edge_frame).
"""
kinds[l]: composed per-cell kind (child coverage OUTER on every non-finest level)."""
configs: tuple
pairs: tuple
kinds: tuple
@@ -40,18 +30,6 @@ class Hierarchy:
def depth(self):
return len(self.kinds)
def edge_frame(self, level):
"""(origin (x, y), spacing) of level ``level``'s array in the root edge frame.
Each pair's fine_origin is in parent cells: zero for a set (level-wide grid),
the shifted window origin for a scalar FixedPatch2D.
"""
origin, spacing = (0.0, 0.0), 1.0
for pair in self.pairs[:level]:
origin = tuple(o + spacing * f for o, f in zip(origin, pair.fine_origin))
spacing /= 2
return origin, spacing
def is_rectangle(value):
value = tuple(value)
@@ -108,14 +86,14 @@ def _check_chain(coarse, fine, pair):
def leaf_partition(h):
"""Base-cell fraction published as ACTIVE over all levels (exact: powers of two).
Window (scalar) levels are offset by their fine_level_offset first.
Window (scalar) levels are offset by their fine_level_origin first.
"""
base = np.zeros(h.kinds[0].shape)
oy = ox = 0
for level, kind in enumerate(h.kinds):
if level:
pair = h.pairs[level - 1]
py, px = (pair.fine_level_offset if isinstance(pair, FixedPatch2D) else (0, 0))
py, px = (pair.fine_level_origin if isinstance(pair, FixedPatch2D) else (0, 0))
oy, ox = 2 * oy + py, 2 * ox + px
y, x = np.nonzero(kind == ACTIVE)
np.add.at(base, ((y + oy) >> level, (x + ox) >> level), 0.25 ** level)
-47
View File
@@ -1,47 +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
#include "operators/block_collision.cuh"
// 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
+162
View File
@@ -0,0 +1,162 @@
// 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"
#include "streaming/pull_double_buffer.cuh"
#include "boundary/curved_boundary.cuh"
#include "boundary/planar_velocity.cuh"
#if DIM != 2 || NQ != 9 || COLLISION_MODEL != 0 || STORE_PRECISION != 0 || USE_LES || STREAMING_MODEL != 0
#error "Blocks require FP32 D2Q9 SRT 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];
}
// 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);
}
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);
}
}
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.
//
@@ -74,7 +74,7 @@ __device__ __forceinline__ float west_velocity_rho_closure_d3q19(
__device__ __forceinline__ bool inlet_scheme_uses_post_collision_ghost()
{
#if INLET_SCHEME == 0
#if INLET_SCHEME == 0 || INLET_SCHEME == 4
return true;
#else
return false;
@@ -0,0 +1,36 @@
// Experimental D2Q9 west velocity boundary: full-state stress regularization.
// Palabos boundaryTemplates::compute_PiNeq / regularized velocity completion.
// This returns PRE-collision populations. The existing step kernel collides once.
#ifndef CELERIS_EXPERIMENTAL_FULL9_INLET_CUH
#define CELERIS_EXPERIMENTAL_FULL9_INLET_CUH
#if LATTICE_MODEL == LATTICE_D2Q9
__device__ inline void apply_experimental_full9_inlet_d2q9(
float* __restrict__ f, float ux_target, float uy_target)
{
const float rho = west_velocity_rho_closure_d2q9(f, ux_target);
float eq[9];
compute_feq(rho, ux_target, uy_target, eq);
// Only known pulled directions are read; unknown wrapped q1/5/7 are ignored.
// f and eq use the same shifting convention, so weights cancel in K.
const float k2 = f[2] - eq[2];
const float k3 = f[3] - eq[3];
const float k4 = f[4] - eq[4];
const float k6 = f[6] - eq[6];
const float k8 = f[8] - eq[8];
const float pxx = 2.0f * (k2 + k6 + k8);
const float pyy = k3 + k4 + 2.0f * (k6 + k8);
const float pxy = 2.0f * (k6 - k8);
const int cx[9] = {0, 1,-1, 0, 0, 1,-1, 1,-1};
const int cy[9] = {0, 0, 0, 1,-1, 1,-1,-1, 1};
for (int q = 0; q < 9; ++q) {
const float weight = q == 0 ? W0_VAL : (q < 5 ? WS_VAL : WE_VAL);
const float stress = weight * (
4.5f * (((float)(cx[q]*cx[q]) - 1.0f/3.0f) * pxx
+ ((float)(cy[q]*cy[q]) - 1.0f/3.0f) * pyy)
+ 9.0f * (float)(cx[q]*cy[q]) * pxy);
f[q] = eq[q] + stress;
}
}
#endif
#endif
@@ -24,6 +24,7 @@
#include "inlet/channel_stabilized.cuh"
#include "inlet/equilibrium.cuh"
#include "inlet/regularized.cuh"
#include "inlet/experimental_full9.cuh"
#include "outlet/pressure_neq.cuh"
#if DIM == 2
@@ -45,6 +46,8 @@ __device__ __forceinline__ void apply_inlet_pull_d2q9(
#if INLET_SCHEME == 0
apply_zou_he_left_velocity_inlet_d2q9(f, u_target, v_target);
#elif INLET_SCHEME == 4
apply_experimental_full9_inlet_d2q9(f, u_target, v_target);
#elif INLET_SCHEME == 1 || INLET_SCHEME == 3
float f_neb[NQ];
const unsigned long k_neb = linear_index(x + 1u, y);
@@ -143,6 +146,8 @@ __device__ __forceinline__ void apply_inlet_esopull_d2q9(
#if INLET_SCHEME == 0
apply_zou_he_left_velocity_inlet_d2q9(f, u_target, v_target);
#elif INLET_SCHEME == 4
apply_experimental_full9_inlet_d2q9(f, u_target, v_target);
#elif INLET_SCHEME == 1 || INLET_SCHEME == 3
#if INLET_SCHEME == 1
apply_channel_stabilized_inlet_d2q9(f, f_neb, (float)y);
@@ -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)
// ---------------------------------------------------------------------------
@@ -44,4 +44,16 @@ struct RigidBodyControl2D {
int control_mode; // 0=force, 1=velocity, 2=displacement
};
// ============================================================================
// Halo plan (multi-GPU / AMR 预留)
// ============================================================================
struct HaloPlan {
int face_id;
int peer_gpu;
int level;
size_t count;
int* send_idx;
int* recv_idx;
};
#endif // CELERIS_CORE_PARAMS_CUH
@@ -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
@@ -1,43 +0,0 @@
// The one collision extension point of the blocked steps (BlockStep, BlockChannelStep).
// Compile-time selection: MRT shares one path; SRT keeps two explicit arithmetic
// variants, unchanged from their original kernels:
// level (BLOCK_ROOT_BC 0/1): unclamped omega, no forcing term; shifted storage
// builds feq from the retained drho and direct momentum (numerical variant);
// channel (BLOCK_ROOT_BC 2): matches uniform OneStep SRT arithmetic (omega clamp,
// zero Guo forcing term, compute_feq).
#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);
#elif BLOCK_ROOT_BC == 2
float rho, ux, uy, feq[NQ], forcing[NQ] = {};
compute_rho_u(f, rho, ux, uy);
compute_feq(rho, ux, uy, feq);
const float omega = fminf(OMEGA_COLLISION_MAX, fmaxf(OMEGA_COLLISION_MIN, d_params.omega));
collide_srt(f, feq, forcing, 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
}
#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,
@@ -57,4 +57,25 @@ __device__ __forceinline__ void collide_trt(float* __restrict__ f,
}
}
__device__ __forceinline__ void collide_trt_no_force(float* __restrict__ f,
const float* __restrict__ feq,
float omega)
{
const float wp = omega;
const float wm = compute_omega_minus(wp);
f[0] = f[0] - wp * (f[0] - feq[0]);
#pragma unroll
for (int i = 1; i < NQ; i += 2) {
const int ib = i + 1;
const float fi = f[i], fb = f[ib];
const float feqi = feq[i], feqb = feq[ib];
const float delta_s = 0.5f * ((fi - feqi) + (fb - feqb));
const float delta_a = 0.5f * ((fi - feqi) - (fb - feqb));
f[i] = fi - wp * delta_s - wm * delta_a;
f[ib] = fb - wp * delta_s + wm * delta_a;
}
}
#endif // CELERIS_OPERATORS_COLLISION_TRT_CUH
@@ -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,
@@ -5,9 +5,7 @@
// nu_t = (C_s * Delta)^2 * |S|, Delta = 1 (lattice unit)
// omega_eff = 1 / (3*(nu + nu_t) + 0.5)
//
// |S| = sqrt(2 S_ij S_ij), with Delta = 1 in lattice units.
// The stress estimate uses self-consistent tau_eff; tau0 is molecular.
// Closed form uses full stress. Iteration uses deviatoric stress and a cap.
// |S| is estimated from non-equilibrium second-order moments using tau0.
// ============================================================================
#ifndef CELERIS_OPERATORS_TURBULENCE_SMAG_CUH
@@ -67,12 +65,12 @@ __device__ __forceinline__ float compute_omega_smag(const float* __restrict__ f,
#if LES_CLOSED_FORM
// Closed-form Smagorinsky (no iteration):
// ω = 2 / (τ₀ + √(τ₀² + 18·√2·Cs²·√Q / ρ))
// ω = 2 / (τ₀ + √(τ₀² + 18·Cs²·√Q / ρ))
// where Q = Πneq_ij · Πneq_ij (Frobenius norm squared)
const float Q = pixx*pixx + piyy*piyy + 2.0f*pixy*pixy;
const float sqrtQ = sqrtf(fmaxf(Q, 0.0f));
const float smag_const_sq = LES_CS * LES_CS;
const float discriminant = tau0*tau0 + 18.0f * sqrtf(2.0f) * smag_const_sq * sqrtQ / rho_safe;
const float discriminant = tau0*tau0 + 18.0f * smag_const_sq * sqrtQ / rho_safe;
const float tau_eff = 0.5f * (tau0 + sqrtf(fmaxf(discriminant, tau0*tau0)));
return clamp_omega(1.0f / fmaxf(tau_eff, 0.500001f));
#else
@@ -142,7 +140,7 @@ __device__ __forceinline__ float compute_omega_smag(const float* __restrict__ f,
+ 2.0f*(pixy*pixy + pixz*pixz + piyz*piyz);
const float sqrtQ = sqrtf(fmaxf(Q, 0.0f));
const float smag_const_sq = LES_CS * LES_CS;
const float discriminant = tau0*tau0 + 18.0f * sqrtf(2.0f) * smag_const_sq * sqrtQ / rho_safe;
const float discriminant = tau0*tau0 + 18.0f * smag_const_sq * sqrtQ / rho_safe;
const float tau_eff = 0.5f * (tau0 + sqrtf(fmaxf(discriminant, tau0*tau0)));
return clamp_omega(1.0f / fmaxf(tau_eff, 0.500001f));
#else
+120
View File
@@ -0,0 +1,120 @@
// Fixed, unforced internal 2:1 patch. Separate compilation entry;
// default OneStep/channel kernels are deliberately not included.
#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"
#include "streaming/pull_double_buffer.cuh"
#include "boundary/planar_velocity.cuh"
#include "boundary/curved_boundary.cuh"
extern "C" {
#include "step/curved_double.cu"
}
#if DIM != 2 || NQ != 9 || COLLISION_MODEL != 0 || STORE_PRECISION != 0 || USE_DDF_SHIFTING || USE_LES || STREAMING_MODEL != 0
#error "Refinement requires unshifted FP32 D2Q9 SRT double buffers without LES"
#endif
// Enabled only in the validation build; no diagnostic arrays in normal builds.
#ifdef CELERIS_REFINEMENT_AUDIT
extern "C" {
__device__ unsigned int collision_counts[TOTAL_CELLS];
__device__ unsigned int explosion_counts[TOTAL_CELLS];
__device__ unsigned int incoming_counts[NQ * TOTAL_CELLS];
}
#endif
__device__ __forceinline__ void patch_collide(float* f, unsigned long k) {
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);
#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);
@@ -36,19 +31,36 @@ 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) {
// Match uniform SRT arithmetic, including its shifted equilibrium path.
float rho, ux, uy, feq[NQ], forcing[NQ] = {};
compute_rho_u(f, rho, ux, uy);
compute_feq(rho, ux, uy, feq);
const float omega = fminf(OMEGA_COLLISION_MAX, fmaxf(OMEGA_COLLISION_MIN, d_params.omega));
collide_srt(f, feq, forcing, omega);
}
if (!wall && !outlet) block_collide(f);
}
stream_pull_store(k, f, out + base);
}
@@ -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 and coarse_cells
// is the parent's block window 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.
// Child summation order ((c0 + c1) + c2) + c3 is part of the numerics; 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.
@@ -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,
+4 -15
View File
@@ -7,26 +7,16 @@ import numpy as np
def summarize_exchange(rows, body_ids, aperture, *, body_id, level, h,
time_end, window, reference_center, duration=None):
time_end, window, reference_center):
"""Reduce FP64 interval integrals or convert FP32 last-substep raw rows.
dt_l=h_l under acoustic 2:1 refinement. Local momentum j -> base force
h*j -> impulse h*dt*j; torque adds one h; mass is h**2*dm.
window="window" reduces an FP64 observation-window ledger spanning
``duration`` (integer >= 1) base intervals; rates divide by that duration.
"""
if window not in ("last_base_step", "last_substep", "window"):
if window not in ("last_base_step", "last_substep"):
raise ValueError("unknown exchange window")
if window == "window":
if isinstance(duration, bool) or not isinstance(duration, (int, np.integer)) or duration < 1:
raise ValueError("window duration must be an integer number of base intervals >= 1")
elif duration is not None:
raise ValueError("duration applies only to window='window'")
values = np.array(rows, dtype=np.float64, copy=True)
if window == "window":
duration = float(duration)
else:
duration = 1.0 if window == "last_base_step" else h
duration = 1.0 if window == "last_base_step" else h
if window == "last_substep":
values *= np.array([h*h, h*h, h*h*h, h*h])
selected = np.asarray(body_ids) == body_id
@@ -41,7 +31,6 @@ def summarize_exchange(rows, body_ids, aperture, *, body_id, level, h,
return dict(wall=reduce(selected & ~aperture), aperture=reduce(selected & aperture),
total=reduce(selected), body_id=int(body_id), level=int(level),
time_start=time_end-duration, time_end=time_end, dt=h,
sample_count=(round(duration/h) if window == "window"
else round(1/h) if window == "last_base_step" else 1),
sample_count=round(1/h) if window == "last_base_step" else 1,
window=window, units="base_lattice_per_unit_depth",
definition="raw_boundary_exchange", reference_center=tuple(reference_center), valid=True)
+7 -7
View File
@@ -52,17 +52,17 @@ class FixedPatch2D:
def from_config(cls, cfg: LBMConfig, bounds) -> "FixedPatch2D":
"""Prepare maps without changing cfg or allocating coarse-sized tables.
The backend contract is D2Q9/SRT or MRT/FP32/double_buffer,
The initial backend contract is D2Q9/SRT/FP32/double_buffer,
without LES. Two coarse cells of margin keep all halo donors in bounds;
this does NOT certify that those donors are fluid or periodic.
"""
checked = replace(cfg)
checked.validate()
if (not checked.is_d2q9 or checked.collision not in ("SRT", "MRT")
if (not checked.is_d2q9 or checked.collision != "SRT"
or checked.streaming != "double_buffer"
or checked.store_precision != "FP32"
or checked.les_enabled):
raise ValueError("FixedPatch2D requires D2Q9/SRT or MRT/FP32/double_buffer without LES")
raise ValueError("FixedPatch2D requires D2Q9/SRT/FP32/double_buffer without LES")
bounds = tuple(bounds)
if len(bounds) != 4 or any(isinstance(v, (bool, np.bool_))
or not isinstance(v, Integral) for v in bounds):
@@ -115,9 +115,8 @@ class FixedPatch2D:
return self.bounds[0] - HALO / 2, self.bounds[1] - HALO / 2
@property
def fine_level_offset(self) -> tuple[int, int]:
"""Array index (y, x) of this window's first cell on the level-wide 2:1 fine grid
(an index offset, not an (x, y) origin)."""
def fine_level_origin(self) -> tuple[int, int]:
"""(y, x) of this window's first cell on the level-wide 2:1 fine grid."""
return 2 * self.bounds[1] - HALO, 2 * self.bounds[0] - HALO
@property
@@ -152,6 +151,7 @@ class FixedPatch2D:
raise ValueError("levels are not synchronized: fine_steps must equal 2*coarse_steps")
MIN_PATCH_GAP = 4 # Legacy exported constant; union transfers impose no gap policy.
@dataclass(frozen=True, eq=False)
@@ -451,7 +451,7 @@ def prepare_fine_boundary(cfg, patch, objects, *, wall_aware=False, jets=(),
checked = replace(cfg)
checked.validate()
if (patch.coarse_shape != (cfg.ny, cfg.nx) or not checked.is_d2q9
or checked.collision not in ("SRT", "MRT") or checked.streaming != "double_buffer"
or checked.collision != "SRT" or checked.streaming != "double_buffer"
or checked.store_precision != "FP32" or checked.les_enabled
or patch.tau_coarse != 3*checked.viscosity+.5):
raise ValueError("Fine boundary requires the matching fixed-patch configuration")
File diff suppressed because it is too large Load Diff
+4 -51
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
@@ -66,50 +66,6 @@ def blocked_base_tables(patch, layout, order, wall_aware=False, *, composed_kind
blocked_kind(layout, dense_kind))
def projected_explosion_tables(pair, parent_layout, composed_parent_kind):
"""Experimental transverse linear explosion, in the pair's existing row order.
Schornbaum & Rüde (2016), arXiv:1508.07982, Algorithm 2, following
Chen et al., doi:10.1016/j.physa.2005.09.036. Independently implemented
from the mathematics: centered gradients, perpendicular projection and
child offsets +/-1/4. The kernel applies the projection per population.
Only original explosion donors that are owned, uncovered ACTIVE cells
may supply gradients. Both axis neighbors must be legal; otherwise repeat
the center twice for zero slope. Owner-core addresses avoid stale halos.
The same rule applies to scalar windows, unions and every adjacent pair;
nested layouts retain their own per-axis (usually nonperiodic) topology.
"""
ny, nx = pair.coarse_shape
kind = np.asarray(composed_parent_kind)
if parent_layout.shape != pair.coarse_shape or kind.shape != pair.coarse_shape:
raise ValueError("projected explosion parent layout/kind has the wrong shape")
donor = pair.ghost_coarse.astype(np.intp)
legal = np.zeros(ny * nx, bool)
legal[donor] = True
legal &= (parent_layout.owned.ravel() & ~pair.covered.ravel()
& (kind.ravel() == ACTIVE))
if not legal[donor].all():
raise ValueError("projected explosion donors need owned uncovered parent ACTIVE cells")
y, x = np.divmod(donor, nx)
neighbors = np.repeat(donor[:, None], 4, axis=1)
for axis, (dx, dy) in enumerate(((1, 0), (0, 1))):
minus = ((y - dy) % ny) * nx + (x - dx) % nx
plus = ((y + dy) % ny) * nx + (x + dx) % nx
valid = legal[minus] & legal[plus]
if not parent_layout.periodic[axis]:
coordinate, extent = (x, nx) if axis == 0 else (y, ny)
valid &= (coordinate > 0) & (coordinate < extent - 1)
neighbors[valid, 2 * axis] = minus[valid]
neighbors[valid, 2 * axis + 1] = plus[valid]
fy, fx = np.divmod(pair.ghost_fine, pair.fine_shape[1])
ox, oy = pair.fine_origin
offsets = np.column_stack((ox + (fx + .5) / 2 - (x + .5),
oy + (fy + .5) / 2 - (y + .5)))
return (np.ascontiguousarray(parent_layout.owner.ravel()[neighbors], dtype=np.uint64),
np.ascontiguousarray(offsets, dtype=np.float32))
# Required device columns plus optional actuation; observation arms are uploaded
# separately only when enabled. body_id/aperture remain host reduction metadata.
BLOCKED_BOUNDARY_DEVICE_COLUMNS = ("block", "cell", "dir", "q", "fallback", "surface_velocity")
@@ -129,7 +85,6 @@ class _BlockedBoundary:
last_raw: object = None
interval_integral: object = None
accumulate: object = None
window_integral: object = None # optional observation-window FP64 ledger
def _prepare_blocked_boundary(boundary, layout, cfg, jets, *, _shifted_blocked=False):
@@ -142,13 +97,11 @@ 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")
+29 -52
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
@@ -46,8 +46,8 @@ 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
self._failed = None # reason after an uncertain device write; only close() remains
# Load configs
self.lbm_cfg = load_lbm_config(lbm_config_path)
@@ -59,7 +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
@@ -90,7 +92,6 @@ class Simulation:
@context_bound
def stream(self) -> cuda.Stream:
"""Internal CUDA stream for async DTOH coordination."""
self._require_usable()
if self._stream is None:
self._stream = cuda.Stream()
return self._stream
@@ -174,27 +175,15 @@ class Simulation:
def set_jet_amplitude(self, index: int, amplitude: float) -> None:
"""Change one jet's signed amplitude; re-uploads per-link velocity only.
Invalid input raises before any change. Any error after validation
(stream creation or upload) leaves the host amplitude unchanged but the
device column undefined, so the Simulation is marked failed: every later
device-touching public method (incl. ``stream``) raises; close() still
works. Close and recreate it.
Invalid input changes nothing. A device error leaves the host amplitude
unchanged but the device column undefined: treat it like any other CUDA
exception here and close/recreate the Simulation before stepping again.
"""
self._require_usable()
jet = self.bodies.jets[index].with_amplitude(amplitude)
if self._initialized:
try:
self.field.curved.set_jet_amplitude(index, amplitude, self.stream)
except BaseException as exc:
self._failed = f"jet amplitude upload failed: {exc!r}"
raise
self.field.curved.set_jet_amplitude(index, amplitude, self.stream)
self.bodies.jets[index] = jet # later geometry syncs keep the new amplitude
def _require_usable(self):
failed = getattr(self, "_failed", None)
if failed is not None:
raise RuntimeError(f"Simulation failed ({failed}); close() and recreate it")
def remove_body(self, id: int) -> None:
"""Remove a body from the simulation.
@@ -347,20 +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.
"""
self._require_usable()
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, *,
@@ -380,7 +362,6 @@ class Simulation:
BodyTelemetry with fields ``force``, ``torque``, ``sensor``.
``sensor`` is a dim-length array of zeros for non-sensor bodies.
"""
self._require_usable()
if self.bodies.obs_pinned is None:
raise RuntimeError("No obs buffer. Call run() first.")
if stream is None:
@@ -400,7 +381,6 @@ class Simulation:
This is the most efficient readback for DRL control loops
(single contiguous D2H copy, no Python per-body overhead).
"""
self._require_usable()
if self.bodies.obs_pinned is None:
raise RuntimeError("No obs buffer. Call run() first.")
if stream is None:
@@ -426,8 +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
@@ -445,6 +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.
@@ -463,22 +451,18 @@ class Simulation:
@context_bound
def initialize(self):
"""Initialize flow field and sync objects to GPU."""
self._require_usable()
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)
@@ -496,7 +480,6 @@ class Simulation:
In EsoPull mode, the backing layout is decoded to physical DDF on
GPU for the patched cells only, patched on host, then encoded back.
"""
self._require_usable()
if not self._initialized:
raise RuntimeError("Call initialize() before sync_bodies()")
@@ -592,7 +575,6 @@ class Simulation:
sensor) on GPU and reset the step accumulator before stepping.
checkpoint_interval: Nonnegative integer; if >0, save every N steps.
"""
self._require_usable()
if not self._initialized:
raise RuntimeError("Call initialize() first")
steps = operator.index(steps)
@@ -657,12 +639,10 @@ class Simulation:
@context_bound
def get_macroscopic(self) -> Dict[str, np.ndarray]:
"""Download DDF and return rho, ux, uy [, uz]."""
self._require_usable()
return self.field.get_macroscopic(step_id=self.stepper.step_count)
@context_bound
def get_ddf(self) -> np.ndarray:
self._require_usable()
self.field.download_ddf(step_id=self.stepper.step_count)
return self.field.ddf.copy()
@@ -676,27 +656,23 @@ class Simulation:
Accepted: omega, fx, fy, fz, n_objects.
"""
self._require_usable()
self.field.update_params(**kwargs)
# -- Snapshots -----------------------------------------------------------
@context_bound
def snapshot(self):
"""Snapshot the flow field; restore keeps the current clock and controls."""
self._require_usable()
self.field.snapshot(step_id=self.stepper.step_count)
@context_bound
def restore(self):
"""Restore the saved flow field at the current streaming parity."""
self._require_usable()
self.field.restore(step_id=self.stepper.step_count)
# -- Checkpoint / Restore (HDF5) ----------------------------------------
@context_bound
def save_checkpoint(self, path: str = None):
"""Save full simulation state to an HDF5 file."""
self._require_usable()
from .common.checkpoint import save_checkpoint
if self.bodies.jets:
raise NotImplementedError("Jets are not checkpointed yet")
@@ -706,7 +682,6 @@ class Simulation:
@context_bound
def load_checkpoint(self, path: str):
"""Restore simulation state from an HDF5 checkpoint."""
self._require_usable()
from .common.checkpoint import load_checkpoint
if not self._initialized:
self.initialize()
@@ -731,6 +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()
-53
View File
@@ -1,53 +0,0 @@
"""Direct Simulation Jet control upload; boundary-law accuracy is tested elsewhere."""
import numpy as np
import pycuda.driver as cuda
from CelerisLab.body.jets import Jet, Radial, Sector
from CelerisLab.lbm.descriptors import FLUID
from ._cases import make_sim
def test_simulation_jet_amplitude_upload_and_continued_steps():
# Same grid/circle/sector as the existing uniform surface-actuation fixture.
center = (16., 12.)
with make_sim(nx=32, ny=24, velocity=0) as sim:
sim.add_body("circle", center=center, radius=4.3)
index = sim.add_jet(Jet(Sector(center, .7, .85, 4.4),
Radial(center, inward=False), "quartic", .002))
sim.initialize()
curved = sim.field.curved
shape, jet_id = curved.jet_shape.copy(), curved.jet_id.copy()
flags = sim.get_flags()
driven = jet_id == index
assert driven.any() and (~driven).any()
velocity_pointer = int(curved.surface_velocity_gpu)
previous = None
for interval, amplitude in enumerate((.002, -.001)):
if interval:
count = sim.stepper.step_count
sim.set_jet_amplitude(index, amplitude)
assert sim.stepper.step_count == count # update does not step
expected = np.zeros_like(curved.surface_velocity)
expected[driven] = (amplitude * shape[driven]).astype(np.float32)
actual = np.empty_like(expected)
with sim.ctx.activate():
cuda.memcpy_dtoh(actual, curved.surface_velocity_gpu)
np.testing.assert_array_equal(actual, expected) # actual device column
np.testing.assert_array_equal(curved.surface_velocity, expected)
assert np.any(actual[driven] != 0)
if previous is not None:
assert not np.array_equal(actual[driven], previous[driven])
previous = actual.copy()
assert sim.bodies.jets[index].amplitude == amplitude
assert curved.jets[index].amplitude == amplitude
assert int(curved.surface_velocity_gpu) == velocity_pointer
np.testing.assert_array_equal(curved.jet_shape, shape)
np.testing.assert_array_equal(curved.jet_id, jet_id)
np.testing.assert_array_equal(sim.get_flags(), flags)
sim.run(2)
assert sim.stepper.step_count == 2 * (interval + 1)
assert sim._failed is None
macro = sim.get_macroscopic()
fluid = (flags.reshape(24, 32) & FLUID) != 0
assert all(np.isfinite(value[fluid]).all() for value in macro.values())
assert np.all(macro["rho"][fluid] > 0)
@@ -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()
+3 -8
View File
@@ -65,14 +65,9 @@ def test_shifted_topology_add_remove_preserves_cache_and_finite_flow(streaming,p
assert np.max(macro['rho'][fluid]) < 1.5
@pytest.mark.parametrize('collision,streaming', [
pytest.param('SRT', 'double_buffer', id='double_buffer'),
pytest.param('SRT', 'esopull', id='esopull'),
pytest.param('TRT', 'double_buffer', id='trt-double_buffer'),
])
def test_checkpoint_exact_continuation_and_controls(collision,streaming,tmp_path):
# Same collision throughout save/load/continue; this is not a method-switch restart.
with make_sim(nx=48,ny=24,streaming=streaming,shifted=True,collision=collision) as sim:
@pytest.mark.parametrize('streaming',['double_buffer','esopull'])
def test_checkpoint_exact_continuation_and_controls(streaming,tmp_path):
with make_sim(nx=48,ny=24,streaming=streaming,shifted=True) as sim:
sim.add_body('circle',center=(14,12),radius=3)
sim.add_body('force_region',center=(30,12),radius=2)
sim.initialize()
+1 -3
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
@@ -41,8 +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"
#include "operators/block_collision.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(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()
-70
View File
@@ -1,70 +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_periodic_patch_tiles(self):
with self.assertRaisesRegex(AssertionError, "CUDA reached"):
FixedPatchStepper(LBMConfig(nx=16, ny=16, viscosity=.1, velocity=1e-3), context=forbidden(),
refinements=[(4, 4, 12, 12)], level_blocks=[(16, 16), (24, 24)])
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__":
-149
View File
@@ -1,149 +0,0 @@
"""Jet amplitude update failure contract (host doubles only, no CUDA numerics).
Both owners validate before any device write, commit host state only after the
upload returns, and refuse every later call except close() after an uncertain
device write.
"""
from types import SimpleNamespace
import numpy as np
import pytest
pytest.importorskip("pycuda.driver")
from CelerisLab import simulation as module
from CelerisLab.body.jets import Jet, Radial, Sector
from tests.unit.test_pinned_body_remap import ready
from tests.unit.test_simulation_lifecycle import make_simulation
BAD = (float("nan"), float("inf"), 1.)
class Curved:
"""Records uploads; ``fail`` raises once the write was attempted."""
def __init__(self):
self.writes, self.fail = [], False
def set_jet_amplitude(self, index, amplitude, stream):
self.writes.append((index, amplitude))
if self.fail:
raise RuntimeError("upload failed")
def simulation(monkeypatch):
sim = make_simulation(monkeypatch)
jet = Jet(Sector((6., 5.), 0., .5, 4.), Radial((6., 5.)), "uniform", 1e-3)
sim._failed, sim._initialized = None, True
sim.bodies, sim.field = SimpleNamespace(jets=[jet]), SimpleNamespace(curved=Curved())
return sim, jet
def test_simulation_invalid_input_writes_nothing_and_stays_usable(monkeypatch):
sim, jet = simulation(monkeypatch)
for amplitude in BAD:
with pytest.raises(ValueError):
sim.set_jet_amplitude(0, amplitude)
with pytest.raises(IndexError):
sim.set_jet_amplitude(1, 2e-3)
assert sim.field.curved.writes == [] and sim.bodies.jets[0] is jet and sim._failed is None
sim.set_jet_amplitude(0, 2e-3) # retry after a rejected input
assert sim.field.curved.writes == [(0, 2e-3)] and sim.bodies.jets[0].amplitude == 2e-3
sim.close()
def test_simulation_upload_failure_keeps_host_and_blocks_reuse(monkeypatch):
sim, jet = simulation(monkeypatch)
sim.field.curved.fail = True
with pytest.raises(RuntimeError, match="upload failed"):
sim.set_jet_amplitude(0, 2e-3)
assert sim.bodies.jets[0] is jet and sim._failed is not None
sim.field.curved.fail = False
for call in (lambda: sim.set_jet_amplitude(0, 2e-3), lambda: sim.run(1), sim.step,
sim.sync_bodies, sim.initialize, sim.get_ddf, sim.get_macroscopic,
lambda: sim.read_surface_exchange(0), lambda: sim.read_body(0),
sim.read_bodies, sim.snapshot, sim.restore, sim.save_checkpoint,
lambda: sim.load_checkpoint("x.h5"), lambda: sim.update_runtime_params(omega=1.)):
with pytest.raises(RuntimeError, match="Simulation failed"):
call()
assert sim.field.curved.writes == [(0, 2e-3)]
sim.close() # cleanup still works
assert sim._closed and sim.ctx.is_closed
def test_simulation_stream_creation_failure_fails_closed(monkeypatch):
sim, jet = simulation(monkeypatch)
created = []
def stream():
created.append(1)
raise RuntimeError("stream creation failed")
monkeypatch.setattr(module.cuda, "Stream", stream, raising=False)
sim._stream = None
with pytest.raises(RuntimeError, match="stream creation failed"):
sim.set_jet_amplitude(0, 2e-3)
assert sim.bodies.jets[0] is jet and sim._failed is not None
assert sim.field.curved.writes == [] and created == [1]
for call in (lambda: sim.stream, lambda: sim.set_jet_amplitude(0, 2e-3)):
with pytest.raises(RuntimeError, match="Simulation failed"):
call()
assert created == [1] # the public stream property does not retry creation
sim.ctx.detach_failure = True
with pytest.raises(RuntimeError, match="detach failed"):
sim.close()
assert not sim._closed
sim.close() # close stays retryable after the failure
assert sim._closed and sim.ctx.is_closed
def test_simulation_before_initialize_commits_host_only(monkeypatch):
sim, _ = simulation(monkeypatch)
sim._initialized = False
sim.set_jet_amplitude(0, -2e-3)
assert sim.field.curved.writes == [] and sim.bodies.jets[0].amplitude == -2e-3
sim.close()
def stepper_state(run):
boundary = run._level_boundaries[2]
return boundary.tables["surface_velocity"].copy(), boundary.jets, run.jets[2]
def test_stepper_invalid_input_writes_nothing_and_stays_ready():
run, module, _, _, _ = ready()
try:
velocity, jets, level_jets = stepper_state(run)
module.cuda.memcpy_htod.reset_mock()
for args, kw, error in [((0, a), {"level": 2}, ValueError) for a in BAD] + [
((1, .01), {"level": 2}, IndexError), ((0, .01), {"level": 3}, ValueError)]:
with pytest.raises(error):
run.set_jet_amplitude(*args, **kw)
module.cuda.memcpy_htod.assert_not_called()
np.testing.assert_array_equal(run._level_boundaries[2].tables["surface_velocity"], velocity)
assert (run._level_boundaries[2].jets, run.jets[2]) == (jets, level_jets)
assert run._status == "ready"
run.set_jet_amplitude(0, .017, level=2)
assert run.jets[2][0].amplitude == .017
finally:
run.close()
@pytest.mark.parametrize("where", ["upload", "synchronize"])
def test_stepper_device_failure_keeps_host_and_blocks_reuse(where):
run, module, _, _, _ = ready()
try:
velocity, jets, level_jets = stepper_state(run)
if where == "upload":
module.cuda.memcpy_htod.side_effect = RuntimeError("upload failed")
else:
run._stream.synchronize.side_effect = RuntimeError("upload failed")
with pytest.raises(RuntimeError, match="upload failed"):
run.set_jet_amplitude(0, .017, level=2)
np.testing.assert_array_equal(run._level_boundaries[2].tables["surface_velocity"], velocity)
assert (run._level_boundaries[2].jets, run.jets[2]) == (jets, level_jets)
assert run._status == "failed"
module.cuda.memcpy_htod.side_effect = None
run._stream.synchronize.side_effect = None
for call in (lambda: run.set_jet_amplitude(0, .017, level=2), run.step, run.download):
with pytest.raises(RuntimeError, match="failed"):
call()
finally:
run.close()
assert run._status == "closed"
-51
View File
@@ -188,57 +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))
sim._require_usable = Simulation._require_usable.__get__(sim)
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))
sim._require_usable = Simulation._require_usable.__get__(sim)
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)
+27 -67
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):
@@ -45,81 +41,45 @@ class GuardTests(unittest.TestCase):
with self.assertRaisesRegex(RuntimeError, "velocity/profile"):
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")
def test_baseline_pins(self):
self.assertEqual(
source_guard(ROOT, "baseline")["base_commit"],
"cd3a657f9d3833e812c3cca173525f165b48710a",
)
def test_corrected_and_tamper_guard(self):
pins = json.loads((HERE / "data/les_flow/source_pins_a135252.json").read_text())
pins = json.loads((HERE / "data/les_flow/source_pins.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)
# Rebuild the reviewed candidate from actual pinned headers, not fixtures.
candidate = root / "header_candidate"
subprocess.run(
[
sys.executable,
str(HERE / "les/prepare.py"),
"--repo",
str(ROOT),
"--output-dir",
str(candidate),
],
check=True,
)
shutil.copyfile(candidate / "patched" / HEADER, root / HEADER)
with patch(
"run_uniform_les_flow.subprocess.check_output",
return_value="isolated-fixture\n",
):
source_guard(root, "corrected", "a135252")
source_guard(root, "corrected")
with self.assertRaisesRegex(RuntimeError, "Source pin mismatch"):
source_guard(root, "baseline", "a135252")
for name in ("kernels/step/one_step_double.cu", "kernels/blocks.cu",
"refinement_stepper.py", "refinement_tables.py"):
target = root / "src/CelerisLab/lbm" / name
original = target.read_bytes()
target.write_bytes(original + b"\n// tamper\n")
with self.assertRaisesRegex(RuntimeError, "Source pin mismatch"):
source_guard(root, "corrected", "a135252")
target.write_bytes(original)
def test_historical_default_and_manifest_unchanged(self):
historical = {
"historical": ("source_pins.json", "87ca033619da1fc02bee822bfc5681b518a92a155c3c3d1dbbe5265c96066b39"),
"dev8403956": ("source_pins_dev8403956.json", "58187908485f2af7c78677d53de98015878372444265ce9e667683b8ef5d410f"),
}
for experiment, (name, expected) in historical.items():
manifest = HERE / "data/les_flow" / name
self.assertEqual(hashlib.sha256(manifest.read_bytes()).hexdigest(), expected)
for variant in ("baseline", "corrected"):
source_guard(root, "baseline")
target = root / "src/CelerisLab/lbm/kernels/step/one_step_double.cu"
target.write_bytes(target.read_bytes() + b"\n// tamper\n")
with self.assertRaisesRegex(RuntimeError, "Source pin mismatch"):
source_guard(ROOT, variant, experiment)
with self.assertRaisesRegex(RuntimeError, "Source pin mismatch"):
source_guard(ROOT, "corrected") # Omission still uses the historical profile.
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")
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"
for name in pins["sources"]:
dest = root / name
dest.parent.mkdir(parents=True, exist_ok=True)
shutil.copyfile(origin / 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")
with self.assertRaisesRegex(RuntimeError, "Source pin mismatch"):
source_guard(root, "corrected", "a135252")
source_guard(root, "corrected")
def test_gpu_requires_opt_in_before_import(self):
with TemporaryDirectory() as directory:
+8 -8
View File
@@ -94,13 +94,13 @@ class MultiplePinnedRemap(unittest.TestCase):
run.set_jet_amplitude(0, .017, level=2)
run.set_jet_amplitude(1, -.011, level=2)
before = run.download()
clone = run.remap_finest((PINS+MOVED+ADDED)[::-1], objects=bodies)
clone = run.remap_child((PINS+MOVED+ADDED)[::-1], child_objects=bodies)
try:
self.assertEqual(tuple(j.amplitude for j in clone._level_boundaries[2].jets), (.017, -.011))
np.testing.assert_array_equal(clone._level_boundaries[2].tables['surface_velocity'],
run._level_boundaries[2].tables['surface_velocity'])
self.assertEqual(tuple(j.amplitude for j in clone._boundaries[2].jets), (.017, -.011))
np.testing.assert_array_equal(clone._boundaries[2].tables['surface_velocity'],
run._boundaries[2].tables['surface_velocity'])
clone.set_jet_amplitude(1, .005, level=2)
self.assertEqual(run._level_boundaries[2].jets[1].amplitude, -.011)
self.assertEqual(run._boundaries[2].jets[1].amplitude, -.011)
clone.step()
self.assertEqual((run.step_count, clone.step_count), (7, 8))
for got, want in zip(run.download(), before):
@@ -116,7 +116,7 @@ class MultiplePinnedRemap(unittest.TestCase):
start = len(allocations)
module.cuda.memcpy_dtoh.reset_mock()
with self.assertRaisesRegex(ValueError, 'boundary'):
run.remap_finest(PINS+FLUID, objects=changed)
run.remap_child(PINS+FLUID, child_objects=changed)
self.assertEqual(len(allocations), start)
module.cuda.memcpy_dtoh.assert_not_called()
with self.assertRaisesRegex(ValueError, 'pinned'):
@@ -128,7 +128,7 @@ class MultiplePinnedRemap(unittest.TestCase):
cases = [(PINS+FLUID, bodies[:1]), (PINS+FLUID, bodies[::-1]),
(PINS+FLUID, (bodies[0], body(center=(32.1, 10.)))),
(PINS+FLUID, (bodies[0], body(SurfaceActuation(0., .7, 0.), (32., 10.)))),
(PINS+FLUID, run.boundaries[2].objects)]
(PINS+FLUID, run.child_boundary.objects)]
for index in range(2):
changed = list(PINS+FLUID)
x0, y0, x1, y1 = changed[index]
@@ -141,7 +141,7 @@ class MultiplePinnedRemap(unittest.TestCase):
run._stream.synchronize.reset_mock()
for rects, supplied in cases:
with self.subTest(rects=rects), self.assertRaises(ValueError):
run.remap_finest(rects, objects=supplied)
run.remap_child(rects, child_objects=supplied)
self.assertEqual(len(allocations), start)
module.cuda.memcpy_dtoh.assert_not_called()
run._stream.synchronize.assert_not_called()
+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
+13 -13
View File
@@ -61,11 +61,11 @@ class PinnedBodyRemap(unittest.TestCase):
run,module,allocations,storage,objects=ready()
run.set_jet_amplitude(0,.017,level=2)
before=run.download()
clone=run.remap_finest(B,objects=objects)
self.assertEqual(clone._level_boundaries[2].jets[0].amplitude,.017)
np.testing.assert_array_equal(clone._level_boundaries[2].tables['surface_velocity'],
run._level_boundaries[2].tables['surface_velocity'])
self.assertTrue(same_physical_boundary(run.boundaries[2],clone.boundaries[2]))
clone=run.remap_child(B,child_objects=objects)
self.assertEqual(clone._boundaries[2].jets[0].amplitude,.017)
np.testing.assert_array_equal(clone._boundaries[2].tables['surface_velocity'],
run._boundaries[2].tables['surface_velocity'])
self.assertTrue(same_physical_boundary(run.child_boundary,clone.child_boundary))
clone.step()
self.assertEqual((run.step_count,clone.step_count),(7,8))
for got,want in zip(run.download(),before): np.testing.assert_array_equal(got,want)
@@ -73,22 +73,22 @@ class PinnedBodyRemap(unittest.TestCase):
def test_static_body_without_actuation(self):
run,module,allocations,storage,objects=ready(jets=())
clone=run.remap_finest(A,objects=objects)
self.assertFalse(clone._level_boundaries[2].actuated)
self.assertNotIn('surface_velocity',clone._level_boundaries[2].tables)
clone=run.remap_child(A,child_objects=objects)
self.assertFalse(clone._boundaries[2].actuated)
self.assertNotIn('surface_velocity',clone._boundaries[2].tables)
for a,b in zip(run.download(),clone.download()): np.testing.assert_array_equal(a,b)
clone.close();run.close()
def test_reject_before_device_reads_or_allocation(self):
run,module,allocations,storage,objects=ready()
start=len(allocations)
cases=[(B,()),(B,run.boundaries[2].objects),(B,(body(center=(12.1,14.)),)),
cases=[(B,()),(B,run.child_boundary.objects),(B,(body(center=(12.1,14.)),)),
(((24,16,36,40),B[1]),objects),(((16,28,32,40),B[1]),objects),
((B[1],),objects)]
module.cuda.memcpy_dtoh.reset_mock()
for rects,objs in cases:
with self.subTest(rects=rects),self.assertRaises(ValueError):
run.remap_finest(rects,objects=objs)
run.remap_child(rects,child_objects=objs)
self.assertEqual(len(allocations),start)
module.cuda.memcpy_dtoh.assert_not_called()
self.assertEqual((run._status,run.step_count),('ready',7))
@@ -100,9 +100,9 @@ class PinnedBodyRemap(unittest.TestCase):
(body(SurfaceActuation(0.,.7,speed)),),())
for spec in (SurfaceActuation(0.,.7,.003),SurfaceActuation(2.,.7,speed)):
module.cuda.memcpy_dtoh.reset_mock()
with self.assertRaises(ValueError): run.remap_finest(B,objects=(body(spec),))
with self.assertRaises(ValueError): run.remap_child(B,child_objects=(body(spec),))
module.cuda.memcpy_dtoh.assert_not_called()
clone=run.remap_finest(B,objects=objects)
clone=run.remap_child(B,child_objects=objects)
clone.close();run.close()
def test_allocation_failure_keeps_old_ready_and_count(self):
@@ -117,7 +117,7 @@ class PinnedBodyRemap(unittest.TestCase):
return allocate(size)
with patch.object(module.cuda,'mem_alloc',side_effect=fail):
with self.assertRaisesRegex(RuntimeError,'allocation'):
run.remap_finest(B,objects=objects)
run.remap_child(B,child_objects=objects)
self.assertEqual((run._status,run.step_count),('ready',7))
for got,want in zip(run.download(),before): np.testing.assert_array_equal(got,want)
for a in saved: a.free.assert_not_called()
+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])
-394
View File
@@ -1,394 +0,0 @@
"""CPU stencil and actual closed-interface packet budgets; no CUDA claims."""
import numpy as np
import unittest
from pathlib import Path
from dataclasses import replace
import shutil
import subprocess
import tempfile
from CelerisLab.config import LBMConfig
from CelerisLab.lbm.blocks import BlockLayout2D
from CelerisLab.lbm.descriptors import D2Q9_EX, D2Q9_EY
from CelerisLab.lbm.refinement import FixedPatch2D, FixedPatchSet2D, ACTIVE, OUTER_GHOST
from CelerisLab.lbm.refinement_tables import projected_explosion_tables
from CelerisLab.lbm.hierarchy import build_hierarchy
from tests.unit.test_hierarchy import CFG, FOUR
E = np.array([D2Q9_EX, D2Q9_EY]).T
W = np.array([4/9] + [1/9]*4 + [1/36]*4)
def setup(union=False, bounds=(4, 4, 12, 12)):
cfg = LBMConfig(nx=16, ny=16, viscosity=.1)
p = (FixedPatchSet2D.from_config(cfg, [bounds]) if union else
FixedPatch2D.from_config(cfg, bounds))
layout = BlockLayout2D.build(16, 16, 4, 4, periodic=(True, True))
neighbors, offsets = projected_explosion_tables(p, layout, np.where(p.covered, OUTER_GHOST, ACTIVE))
inverse = np.full(layout.nblocks * np.prod(layout.local_shape), -1, dtype=int)
inverse[layout.owner.ravel()] = np.arange(256)
return p, inverse[neighbors], offsets
def reconstruct(c, p, neighbors, offsets, project=True):
# Independent NumPy evaluation of the documented stencil; neighbors have
# been decoded from actual blocked owner IDs, not recomputed geometry.
values = c.reshape(9, -1)[:, neighbors]
g = .5 * (values[:, :, 1::2] - values[:, :, ::2])
if project:
g[1:] -= (np.einsum('qra,qa->qr', g[1:], E[1:]) /
np.sum(E[1:]**2, axis=1)[:, None])[:, :, None] * E[1:, None, :]
out = c.reshape(9, -1)[:, p.ghost_coarse] + np.einsum('qra,ra->qr', g, offsets)
return out, g
def check_legal_footprint_mean_and_characteristic(union, bounds):
p, neighbors, offsets = setup(union, bounds)
assert set(neighbors.ravel()) <= set(p.ghost_coarse)
assert not p.covered.ravel()[neighbors].any()
assert (neighbors >= 0).all()
c = np.random.default_rng(72).normal(size=(9,16,16))
c[:, p.covered] = np.nan # poison every forbidden donor
out, g = reconstruct(c, p, neighbors, offsets)
assert np.isfinite(out).all()
np.testing.assert_allclose(np.einsum('qra,qa->qr', g, E), 0, atol=5e-16)
for d in np.unique(p.ghost_coarse):
rows = p.ghost_coarse == d
assert rows.sum() == 4
np.testing.assert_allclose(out[:, rows].mean(axis=1), c.reshape(9,-1)[:,d], atol=5e-16)
for q in range(1,9):
delta = offsets[rows, None, :] - offsets[None, rows, :]
# Parallel displacements have zero 2D cross product.
parallel = np.isclose(delta[...,0]*E[q,1]-delta[...,1]*E[q,0], 0)
diff = out[q, rows][:,None]-out[q, rows][None,:]
np.testing.assert_allclose(diff[parallel], 0, atol=5e-16)
const = np.broadcast_to(W[:,None,None], (9,16,16)).copy()
constant, _ = reconstruct(const,p,neighbors,offsets)
np.testing.assert_array_equal(constant, np.broadcast_to(W[:,None], constant.shape))
def collide(f, tau):
rho = f.sum(axis=0)
u = np.einsum('qa,q...->a...', E, f) / rho
cu = np.einsum('qa,a...->q...', E, u)
eq = W[:,None] * rho * (1 + 3*cu + 4.5*cu**2 - 1.5*np.sum(u*u,axis=0))
return f + (eq-f)/tau
def totals(c, f, p):
q = c[:,~p.covered].sum(axis=1)+.25*f[:,p.fine_kind==ACTIVE].sum(axis=1)
return np.r_[q.sum(), E.T@q]
def check_full_two_hop_closed_corner_budget(union, collision, bounds):
p, neighbors, offsets = setup(union,bounds)
rng=np.random.default_rng(17)
c=W[:,None,None]*(1+rng.normal(0,.002,(9,16,16)))
f=W[:,None,None]*(1+rng.normal(0,.002,(9,*p.fine_shape)))
start=totals(c,f,p)
# Count exactly the eight coarse diagonal links whose source is also
# uncovered, but whose midpoint lies on the closed rectangular interface.
q, k=np.divmod(p.coalesce_coarse.astype(np.int64),256)
y,x=np.divmod(k,16)
grazing=~p.covered[y-E[q,1],x-E[q,0]]
assert grazing.sum()==8
c[:,p.covered]=np.nan
for _ in range(8):
f.reshape(9,-1)[:,p.ghost_fine]=reconstruct(c,p,neighbors,offsets)[0]
for _ in range(2):
f=np.array([np.roll(f[q],(ey,ex),(0,1)) for q,(ex,ey) in enumerate(E)])
f[:,p.fine_kind==OUTER_GHOST]=np.nan
if collision:
f[:,p.fine_kind==ACTIVE]=collide(f[:,p.fine_kind==ACTIVE],p.tau_fine)
out=np.array([np.roll(c[q],(ey,ex),(0,1)) for q,(ex,ey) in enumerate(E)])
packets=f.reshape(-1)[p.coalesce_fine].mean(axis=1)
assert np.isfinite(packets[grazing]).all()
out.reshape(-1)[p.coalesce_coarse]=packets
if collision:out[:,~p.covered]=collide(out[:,~p.covered],p.tau_coarse)
out[:,p.covered]=np.nan
c=out
np.testing.assert_allclose(totals(c,f,p),start,rtol=0,atol=2e-12)
def check_projection_is_distinguished_by_characteristic_not_global_mass():
p,n,o=setup()
c=np.random.default_rng(8).normal(size=(9,16,16))
_,g=reconstruct(c,p,n,o,project=False)
assert np.max(abs(np.einsum('qra,qa->qr',g,E))) > .1
class ProjectedExplosionTests(unittest.TestCase):
def test_stencil(self):
for union in (False, True):
for bounds in ((4,4,12,12),(2,3,9,10),(2,2,3,3)):
with self.subTest(union=union,bounds=bounds):
check_legal_footprint_mean_and_characteristic(union,bounds)
def test_closed_interface(self):
for union in (False,True):
for collision in (False,True):
for bounds in ((4,4,12,12),(2,3,14,12),(2,2,3,3)):
with self.subTest(union=union,collision=collision,bounds=bounds):
check_full_two_hop_closed_corner_budget(union,collision,bounds)
def test_projection(self):
check_projection_is_distinguished_by_characteristic_not_global_mass()
def test_affine_and_shift_invariance(self):
p,n,o=setup()
y,x=np.indices((16,16))
c=np.array([.7+q*.01+x*.03+y*.05 for q in range(9)])
out,g=reconstruct(c,p,n,o)
available=n[:,::2]!=n[:,1::2]
gradient=np.array([.03,.05])*available
expected=np.broadcast_to(gradient,(9,*gradient.shape)).copy()
expected[1:]-=(np.einsum('qra,qa->qr',expected[1:],E[1:])/
np.sum(E[1:]**2,axis=1)[:,None])[:,:,None]*E[1:,None,:]
np.testing.assert_allclose(g,expected,atol=2e-16)
shifted,_=reconstruct(c-W[:,None,None],p,n,o)
np.testing.assert_allclose(out-W[:,None],shifted,atol=5e-16)
class ProjectedKernelTests(unittest.TestCase):
@unittest.skipUnless(shutil.which("g++"), "g++ is required for actual-kernel CPU arithmetic")
def test_actual_kernel_fp32_shifted_and_unshifted(self):
p, neighbors, offsets = setup(True)
parent = BlockLayout2D.build(16,16,4,4,periodic=(True,True))
child = p.fine_layout((8,4)) # deliberately unequal parent/child strides
ids, offsets = projected_explosion_tables(p,parent,np.where(p.covered,OUTER_GHOST,ACTIVE))
cells = int(np.prod(parent.local_shape))
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()
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):
v = np.asarray(values).ravel()
text = ','.join(str(int(x)) if kind=='uint64_t' else float(x).hex()+'f' for x in v)
return f"{kind} {name}[] = {{{text}}};\n"
for shifted in (False,True):
c=np.random.default_rng(11).normal(0,.001,(9,16,16))
if not shifted:c+=W[:,None,None]
c=c.astype(np.float32)
packed=np.full(parent.nblocks*9*cells,np.nan,np.float32)
for q in range(9):packed[parent.slot(parent.owner.ravel(),q)]=c[q].ravel()
# All halo/covered inputs are poisoned; kernel must use legal cores.
for q in range(9):packed[parent.slot(parent.owner.ravel()[p.covered.ravel()],q)]=np.nan
# Hex initializer needs a portable expression for poisoned NaNs.
data=array('coarse',packed,'float').replace('nanf','NAN')
code = '#include <cstdint>\n#include <cmath>\n#include <cstdio>\nusing fpxx=float;\n'
code += f'constexpr unsigned NQ=9, TOTAL_CELLS={int(np.prod(child.local_shape))};\n'
code += 'struct Id {unsigned x;}; Id blockIdx{0},blockDim{1},threadIdx{0};\n'
code += 'unsigned index_f(unsigned k,unsigned q){return q*TOTAL_CELLS+k;}\n'
code += 'int d_cx[]={0,1,-1,0,0,1,-1,1,-1},d_cy[]={0,0,0,1,-1,1,-1,-1,1};\n'+kernel
code += data+array('target',targets,'uint64_t')+array('donor',donors,'uint64_t')
code += array('neighbor',ids,'uint64_t')+array('offset',offsets,'float')
code += f'float fine[{child.nblocks*9*int(np.prod(child.local_shape))}]={{}};\n'
code += f'int main(){{for(unsigned r=0;r<{len(targets)};++r){{threadIdx.x=r;BlockExplodeProjected(coarse,fine,target,donor,{len(targets)},{cells},neighbor,offset);}}'
code += f'for(unsigned q=0;q<9;++q)for(unsigned r=0;r<{len(targets)};++r){{auto t=target[r];printf("%.9g\\n",fine[(t/TOTAL_CELLS)*9*TOTAL_CELLS+q*TOTAL_CELLS+t%TOTAL_CELLS]);}}}}'
with tempfile.TemporaryDirectory() as folder:
src=Path(folder)/'kernel.cpp'; binary=Path(folder)/'kernel'
src.write_text(code)
subprocess.run(['g++','-std=c++17','-O2',str(src),'-o',str(binary)],check=True,capture_output=True)
result=np.fromstring(subprocess.check_output([str(binary)],text=True),sep=' ').reshape(9,-1)
expected,_=reconstruct(c.astype(float),p,neighbors,offsets)
np.testing.assert_allclose(result,expected,atol=6e-8,rtol=2e-7)
UNIONS = [
[(8, 8, 24, 20)],
[(8, 8, 16, 20), (16, 8, 24, 20)], # abutting
[(8, 8, 18, 20), (14, 8, 24, 20)], # overlap
[(8, 8, 16, 20), (17, 8, 24, 20)], # gap 1
[(8, 8, 16, 20), (18, 8, 24, 20)], # gap 2
[(8, 8, 16, 20), (19, 8, 24, 20)], # gap 3
[(8, 8, 20, 14), (8, 14, 14, 22)], # L concavity
[(4, 4, 10, 10), (18, 16, 26, 26)], # separated
[(4, 4, 5, 7), (4, 5, 7, 7)], # known concave exit/re-entry path
]
def decode(layout, neighbors):
inverse = np.full(layout.hole, -1, dtype=int)
inverse[layout.owner[layout.owned]] = np.flatnonzero(layout.owned)
return inverse[neighbors]
def check_pair_stencil(pair, layout, kind):
ids, offsets = projected_explosion_tables(pair, layout, kind)
neighbors = decode(layout, ids)
legal = set(map(int, pair.ghost_coarse))
assert len(np.unique(pair.ghost_fine)) == len(pair.ghost_fine)
assert set(neighbors.ravel()) <= legal
assert layout.owned.ravel()[neighbors].all()
assert (kind.ravel()[neighbors] == ACTIVE).all()
assert not pair.covered.ravel()[neighbors].any()
ny, nx = pair.coarse_shape
for row, donor in enumerate(pair.ghost_coarse):
y, x = divmod(int(donor), nx)
for axis, (dx, dy) in enumerate(((1, 0), (0, 1))):
ends = [(x - dx, y - dy), (x + dx, y + dy)]
expected = []
for xx, yy in ends:
outside = not (0 <= xx < nx and 0 <= yy < ny)
if outside and not layout.periodic[axis]:
break
cell = (yy % ny) * nx + xx % nx
if cell not in legal:
break
expected.append(cell)
if len(expected) != 2:
expected = [int(donor)] * 2
np.testing.assert_array_equal(neighbors[row, 2*axis:2*axis+2], expected)
fy, fx = divmod(int(pair.ghost_fine[row]), pair.fine_shape[1])
expected = [pair.fine_origin[0]+(fx+.5)/2-(x+.5),
pair.fine_origin[1]+(fy+.5)/2-(y+.5)]
np.testing.assert_array_equal(offsets[row], expected)
assert set(offsets.ravel()) == {-.25, .25}
assert ids.dtype == np.uint64 and ids.flags.c_contiguous
assert offsets.dtype == np.float32 and offsets.flags.c_contiguous
return neighbors, offsets
class GenericProjectedPairs(unittest.TestCase):
def test_single_window_and_singleton_union_exact_stencils(self):
for bounds in ((4,4,12,12), (2,3,9,10), (2,2,3,3)):
a, an, ao = setup(False, bounds)
b, bn, bo = setup(True, bounds)
np.testing.assert_array_equal(a.ghost_coarse, b.ghost_coarse)
np.testing.assert_array_equal(an, bn)
np.testing.assert_array_equal(ao, bo)
# Coordinates differ between scalar and union arrays; physical rows don't.
ay, ax = np.divmod(a.ghost_fine, a.fine_shape[1])
by, bx = np.divmod(b.ghost_fine, b.fine_shape[1])
np.testing.assert_array_equal(ax + 2*a.fine_origin[0], bx)
np.testing.assert_array_equal(ay + 2*a.fine_origin[1], by)
def test_union_decomposition_permutation_and_topologies(self):
cfg = LBMConfig(nx=30, ny=30, viscosity=.1)
layout = BlockLayout2D.build(30,30,6,5,periodic=(True,True))
stencils = []
for rectangles in UNIONS:
pair = FixedPatchSet2D.from_config(cfg, rectangles)
kind = np.where(pair.covered, OUTER_GHOST, ACTIVE)
n, o = check_pair_stencil(pair, layout, kind)
other = FixedPatchSet2D.from_config(cfg, rectangles[::-1])
on, oo = projected_explosion_tables(other, layout, kind)
np.testing.assert_array_equal(n, decode(layout, on))
np.testing.assert_array_equal(o, oo)
stencils.append((pair.ghost_fine, pair.ghost_coarse, n, o))
c = np.random.default_rng(92).normal(size=(9,30,30))
c[:, pair.covered] = np.nan
values, gradients = reconstruct(c, pair, n, o)
self.assertTrue(np.isfinite(values).all())
np.testing.assert_allclose(np.einsum('qra,qa->qr', gradients, E),0,atol=1e-15)
# q0 keeps its full gradient; no division by zero or forced zero.
expected_q0 = .5*(c[0].ravel()[n[:,1::2]]-c[0].ravel()[n[:,::2]])
np.testing.assert_array_equal(gradients[0], expected_q0)
self.assertGreater(np.max(abs(gradients[0])), .1)
for donor in np.unique(pair.ghost_coarse):
rows = pair.ghost_coarse == donor
self.assertEqual(rows.sum(),4)
np.testing.assert_allclose(values[:,rows].mean(axis=1),c.reshape(9,-1)[:,donor],atol=1e-15)
for q in range(1,9):
delta = o[rows,None,:]-o[None,rows,:]
parallel = delta[...,0]*E[q,1] == delta[...,1]*E[q,0]
diff = values[q,rows][:,None]-values[q,rows][None,:]
np.testing.assert_allclose(diff[parallel],0,atol=1e-15)
for split in stencils[1:3]:
for expected, actual in zip(stencils[0],split):
np.testing.assert_array_equal(actual,expected)
def test_nested_scalar_origins_sparse_holes_and_unequal_strides(self):
cases = [(CFG, FOUR), (LBMConfig(nx=16,ny=16,viscosity=.02),
[(4,4,12,12),(8,8,16,16),(8,8,16,16)])]
for cfg, refs in cases:
hierarchy = build_hierarchy(cfg,refs)
for index,pair in enumerate(hierarchy.pairs):
if index == 0:
layout = BlockLayout2D.build(cfg.ny,cfg.nx,4,4,periodic=(True,True))
else:
prior = hierarchy.pairs[index-1]
layout = (prior.fine_layout((4,8)) if isinstance(prior,FixedPatchSet2D)
else BlockLayout2D.build(*prior.fine_shape,4,8,periodic=(False,False)))
kind = hierarchy.kinds[index]
n,o = check_pair_stencil(pair,layout,kind)
c = np.random.default_rng(index).normal(size=(9,*pair.coarse_shape))
c[:,~layout.owned | (kind != ACTIVE)] = np.nan
self.assertTrue(np.isfinite(reconstruct(c,pair,n,o)[0]).all())
if index and isinstance(pair,FixedPatchSet2D):
self.assertTrue((~layout.owned).any())
self.assertEqual(layout.periodic, (index == 0, index == 0))
def test_periodicity_is_per_axis_and_missing_pairs_repeat_center(self):
cfg=LBMConfig(nx=16,ny=16,viscosity=.1)
p=FixedPatch2D.from_config(cfg,(2,2,14,14))
kind=np.where(p.covered,OUTER_GHOST,ACTIVE)
results=[]
for periodic in ((False,False),(True,False),(False,True),(True,True)):
layout=BlockLayout2D.build(16,16,4,4,periodic=periodic)
n,_=check_pair_stencil(p,layout,kind)
results.append(n)
y,x=np.divmod(p.ghost_coarse,16)
for axis,coordinate in enumerate((x,y)):
edge=(coordinate==0)|(coordinate==15)
if not periodic[axis]:
np.testing.assert_array_equal(n[edge,2*axis:2*axis+2],
np.repeat(p.ghost_coarse[edge,None],2,axis=1))
self.assertTrue((results[0]!=results[1]).any())
self.assertTrue((results[0]!=results[2]).any())
self.assertTrue((results[1]!=results[3]).any())
def test_invalid_parent_donors_reject_before_owner_lookup(self):
p,_,_=setup()
layout=BlockLayout2D.build(16,16,4,4)
kind=np.where(p.covered,OUTER_GHOST,ACTIVE)
for nonactive in (1,2,255):
bad=kind.copy(); bad.ravel()[p.ghost_coarse[0]]=nonactive
with self.assertRaisesRegex(ValueError,'ACTIVE'):
projected_explosion_tables(p,layout,bad)
with self.assertRaisesRegex(ValueError,'shape'):
projected_explosion_tables(p,layout,kind[:1])
hole_layout=BlockLayout2D.build(16,16,4,4,origins=[(0,0)])
with self.assertRaisesRegex(ValueError,'owned'):
projected_explosion_tables(p,hole_layout,kind)
def test_generic_two_hop_mass_and_momentum_budget(self):
cfg=LBMConfig(nx=30,ny=30,viscosity=.1)
layout=BlockLayout2D.build(30,30,6,5)
grazing_counts=set()
for rectangles in UNIONS:
pair=FixedPatchSet2D.from_config(cfg,rectangles)
ids,o=projected_explosion_tables(pair,layout,np.where(pair.covered,OUTER_GHOST,ACTIVE))
n=decode(layout,ids)
q,k=np.divmod(pair.coalesce_coarse.astype(np.int64),900)
y,x=np.divmod(k,30)
grazing=~pair.covered[(y-E[q,1])%30,(x-E[q,0])%30]
grazing_counts.add(int(grazing.sum()))
self.assertTrue(grazing.any())
for collision in (False,True):
rng=np.random.default_rng(17)
c=W[:,None,None]*(1+rng.normal(0,.002,(9,30,30)))
f=W[:,None,None]*(1+rng.normal(0,.002,(9,*pair.fine_shape)))
start=totals(c,f,pair)
c[:,pair.covered]=np.nan
for _ in range(4):
f.reshape(9,-1)[:,pair.ghost_fine]=reconstruct(c,pair,n,o)[0]
for _ in range(2):
f=np.array([np.roll(f[q],(ey,ex),(0,1)) for q,(ex,ey) in enumerate(E)])
f[:,pair.fine_kind==OUTER_GHOST]=np.nan
if collision:
f[:,pair.fine_kind==ACTIVE]=collide(f[:,pair.fine_kind==ACTIVE],pair.tau_fine)
out=np.array([np.roll(c[q],(ey,ex),(0,1)) for q,(ex,ey) in enumerate(E)])
packets=f.reshape(-1)[pair.coalesce_fine].mean(axis=1)
self.assertTrue(np.isfinite(packets[grazing]).all())
out.reshape(-1)[pair.coalesce_coarse]=packets
if collision:
out[:,~pair.covered]=collide(out[:,~pair.covered],pair.tau_coarse)
out[:,pair.covered]=np.nan
c=out
np.testing.assert_allclose(totals(c,f,pair),start,rtol=0,atol=4e-12)
self.assertGreater(len(grazing_counts),1) # not a hard-coded eight-corner oracle
-162
View File
@@ -1,162 +0,0 @@
"""Host-only checks for the opt-in CUDA gate; never imports or compiles CUDA."""
from copy import deepcopy
import importlib.util
from pathlib import Path
import unittest
from unittest.mock import patch
import numpy as np
from CelerisLab.config import LBMConfig
from CelerisLab.lbm.blocks import BlockLayout2D
from CelerisLab.lbm.hierarchy import build_hierarchy
from CelerisLab.lbm.refinement import ACTIVE, OUTER_GHOST, FixedPatch2D, FixedPatchSet2D
from CelerisLab.lbm.refinement_tables import projected_explosion_tables
from tests.unit.test_hierarchy import CFG, FOUR
from tests.unit.test_projected_explosion import decode, reconstruct, totals
PATH = Path(__file__).resolve().parents[1] / 'validation/multigrid/check_projected_pairs.py'
spec = importlib.util.spec_from_file_location('projected_pair_gate', PATH)
gate = importlib.util.module_from_spec(spec)
spec.loader.exec_module(gate)
class ProjectedGateOracle(unittest.TestCase):
def check_pair(self, pair, layout, kind):
ids, offsets = projected_explosion_tables(pair, layout, kind)
neighbors = decode(layout, ids)
coarse = np.random.default_rng(731).normal(size=(9, *pair.coarse_shape))
legal = np.zeros(pair.coarse_shape, bool)
legal.ravel()[pair.ghost_coarse] = True
coarse[:, ~legal] = np.nan
expected, _ = reconstruct(coarse, pair, neighbors, offsets)
# The coordinate oracle must not accidentally share production tables.
with patch('CelerisLab.lbm.refinement_tables.projected_explosion_tables',
side_effect=AssertionError('oracle used production stencil')):
actual = gate.independent_explosion(coarse, pair, layout, kind)
np.testing.assert_allclose(actual, expected, rtol=0, atol=2e-15)
center = coarse.reshape(9, -1)[:, pair.ghost_coarse]
self.assertTrue(np.isfinite(actual).all())
self.assertGreater(np.max(abs(actual[0] - center[0])), .01)
self.assertGreater(np.max(abs(actual[1:] - center[1:])), .01)
return coarse, neighbors, offsets, actual
def test_scalar_union_nested_sparse_and_unequal_strides(self):
def fine_layout(pair, block):
return (pair.fine_layout(block) if isinstance(pair, FixedPatchSet2D) else
BlockLayout2D.build(*pair.fine_shape, *block, periodic=(False,False)))
small = LBMConfig(nx=16, ny=16, viscosity=.02)
fixtures = [(small, [(4,4,12,12), (8,8,16,16), (8,8,16,16)]),
(CFG, FOUR), (small, [[(4,4,5,7), (4,5,7,7)]])]
for cfg, refs in fixtures:
hierarchy = build_hierarchy(cfg, refs)
for index, pair in enumerate(hierarchy.pairs):
block, child_block = ((4,4), (4,8)) if index % 2 == 0 else ((4,8), (4,4))
layout = (BlockLayout2D.build(cfg.ny, cfg.nx, *block) if index == 0
else fine_layout(hierarchy.pairs[index-1], block))
with self.subTest(refs=refs, pair=index):
self.assertNotEqual(np.prod(layout.local_shape),
np.prod(fine_layout(pair, child_block).local_shape))
if index and isinstance(pair, FixedPatchSet2D):
self.assertTrue((~layout.owned).any())
self.check_pair(pair, layout, hierarchy.kinds[index])
def test_axis_periodicity_and_mean_preserving_mutants(self):
pair = FixedPatch2D.from_config(LBMConfig(nx=16,ny=16,viscosity=.1), (2,2,14,14))
kind = np.where(pair.covered, OUTER_GHOST, ACTIVE)
outputs = []
for periodic in ((False,False), (True,False), (False,True), (True,True)):
layout = BlockLayout2D.build(16,16,4,4,periodic=periodic)
coarse, neighbors, offsets, actual = self.check_pair(pair, layout, kind)
outputs.append(actual)
donors, first, inverse = np.unique(pair.ghost_coarse, return_index=True, return_inverse=True)
wrong = neighbors[first[np.roll(np.arange(len(donors)), 1)]][inverse]
for bad_neighbors, bad_offsets in ((neighbors, -offsets), (wrong, offsets)):
mutant, _ = reconstruct(coarse, pair, bad_neighbors, bad_offsets)
self.assertGreater(np.max(abs(mutant - actual)), .01)
for donor in donors:
rows = pair.ghost_coarse == donor
self.assertEqual(rows.sum(), 4)
np.testing.assert_allclose(mutant[:,rows].mean(axis=1),
coarse.reshape(9,-1)[:,donor], rtol=0, atol=1e-15)
bad_kind = kind.copy(); bad_kind.ravel()[pair.ghost_coarse[0]] = OUTER_GHOST
with self.assertRaisesRegex(AssertionError, 'illegal center donor'):
gate.independent_explosion(coarse, pair, layout, bad_kind)
for i, j in ((0,1), (0,2), (1,3), (2,3)):
self.assertGreater(np.max(abs(outputs[i] - outputs[j])), .01)
def test_concave_replay_preserves_existing_fp64_budget(self):
cfg, refs, blocks = gate.cases()['concave']
hierarchy = build_hierarchy(cfg, refs); pair = hierarchy.pairs[0]
layout = BlockLayout2D.build(cfg.ny, cfg.nx, *blocks[0])
rng = np.random.default_rng(17)
values = tuple(gate.W[:,None,None] * (1 + rng.normal(0,.002,(9,*shape)))
for shape in (pair.coarse_shape, pair.fine_shape))
start = totals(*values, pair)
values[0][:,pair.covered] = np.nan
for _ in range(8):
values = gate.replay_two_hops(values, pair, layout, hierarchy.kinds[0])
np.testing.assert_allclose(totals(*values, pair), start, rtol=0, atol=4e-12)
self.assertEqual(gate.REPLAY_ATOL, 3e-6) # CUDA replay bound is separate.
class ProjectedGateReceipts(unittest.TestCase):
def test_digest_exact_finite_bits_and_nan_masks(self):
values = np.array([0., -0., np.nan, 1.], dtype=np.float32)
self.assertEqual(gate.digest(values), gate.digest(values.copy()))
payload = values.copy(); payload.view(np.uint32)[2] = 0x7fc00001
self.assertEqual(gate.digest(values), gate.digest(payload))
variants = [np.array([-0., -0., np.nan, 1.], np.float32),
np.array([0., np.nan, -0., 1.], np.float32),
np.array([0., -0., np.nan, np.nextafter(np.float32(1), np.float32(2))], np.float32),
values.reshape(2,2), values.astype(np.float64)]
for changed in variants:
self.assertNotEqual(gate.digest(values), gate.digest(changed))
with self.assertRaisesRegex(AssertionError, 'infinite'):
gate.digest(np.array([np.inf]))
def test_snapshot_negative_controls_and_exact_dev_options(self):
snapshot = [dict(step=0, levels=[dict(raw='raw',public='public',active=4)],
mass_momentum=[1.,0.,0.],observed_level_hops=[0,0])]
gate.compare_snapshots(snapshot, deepcopy(snapshot))
diagnostic = deepcopy(snapshot); diagnostic[0]['mass_momentum'][0] = 2.
gate.compare_snapshots(snapshot, diagnostic) # Diagnostics are not bitwise gate fields.
mutants = [[]]
for key, value in (('raw','changed'), ('public','changed'), ('active',3)):
changed = deepcopy(snapshot); changed[0]['levels'][0][key] = value
mutants.append(changed)
changed = deepcopy(snapshot); changed[0]['step'] = 1; mutants.append(changed)
changed = deepcopy(snapshot); changed[0]['observed_level_hops'] = [0,1]; mutants.append(changed)
for changed in mutants:
with self.assertRaises(AssertionError):
gate.compare_snapshots(snapshot, changed)
self.assertEqual(gate.default_options('omitted'), {})
self.assertEqual(gate.default_options('constant'), {'explosion':'constant'})
self.assertEqual(gate.default_options('projected_linear'), {'explosion':'projected_linear'})
def test_baseline_receipt_rejects_provenance_and_contract_mutants(self):
keys = [f'{name}:shifted={shifted}' for name in gate.cases() for shifted in (False,True)]
good = dict(completed=True,dry_run=False,mode='baseline',production_revision=gate.BASE,
source=dict(revision=gate.BASE,dirty=False),driver_sha256='driver',
stops=list(gate.STOPS),operator_tolerance=[6e-8,2e-7],
rest_tolerance=[3e-7,1e-6],replay_tolerance=[3e-6,0],default_snapshots=dict.fromkeys(keys, []),
actual_build_sidecars=[{'ptx_sha256':'captured'}])
self.assertIs(gate.baseline_receipt(good, 'driver', keys), good)
mutants = dict(completed=False,dry_run=True,mode='candidate',production_revision='wrong',
driver_sha256='wrong',stops=[0,1,2],operator_tolerance=[1e-6,2e-7],
rest_tolerance=[3e-7,1e-5],replay_tolerance=[3e-6,1e-7],actual_build_sidecars=[],default_snapshots={})
for field, value in mutants.items():
bad = deepcopy(good); bad[field] = value
with self.subTest(field=field), self.assertRaises(ValueError):
gate.baseline_receipt(bad, 'driver', keys)
for changes in (dict(revision='wrong'), dict(dirty=True), dict(dirty=None)):
bad = deepcopy(good); bad['source'].update(changes)
with self.assertRaises(ValueError):
gate.baseline_receipt(bad, 'driver', keys)
bad = deepcopy(good); bad['default_snapshots']['unexpected'] = []
with self.assertRaises(ValueError):
gate.baseline_receipt(bad, 'driver', keys)
if __name__ == '__main__':
unittest.main()
-196
View File
@@ -1,196 +0,0 @@
"""Production host dispatch with CUDA doubles; no CUDA compilation or flow runs."""
from contextlib import nullcontext
from dataclasses import replace
from unittest.mock import Mock
import unittest
import numpy as np
from CelerisLab.config import LBMConfig
from tests.unit.test_hierarchy import CFG, FOUR
from tests.unit.test_refinement_three_level_multipatch import host_module
def backend(**options):
host = host_module()
calls, allocations, storage = [], [], {}
context = Mock(activate=nullcontext, sm_arch='sm_70')
host.cuda.mem_alloc.side_effect = lambda size: allocate(size)
def allocate(size):
pointer = Mock(name=f'buffer{len(allocations)}', size=size)
allocations.append(pointer)
return pointer
def load(_):
module = Mock()
module.get_global.return_value = (Mock(), 20)
module.get_function.side_effect = lambda name: Mock(
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.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)
refinements = options.pop('refinements', FOUR)
blocks = options.pop('level_blocks', [(4, 4)] * (len(refinements) + 1))
run = host.FixedPatchStepper(cfg, context=context, refinements=refinements,
level_blocks=blocks, **options)
run.initialize(*(np.full(level.shape, 1/9, np.float32) for level in run._levels))
return run, host, calls, allocations, storage
def trace(run, calls, allocations, storage):
"""Stable pointer identities expose allocations/arguments, not just kernel names."""
pointer = {id(value): index for index, value in enumerate(allocations)}
launches = [(name, tuple(('ptr', pointer[id(a)]) if id(a) in pointer else int(a)
for a in args), kw['grid'], kw['block'])
for name, args, kw in calls]
uploads = [(index, value.dtype.str, value.shape, value.tobytes())
for index, ptr in enumerate(allocations) if (value := storage.get(id(ptr))) is not None]
return [p.size for p in allocations], uploads, launches
class ProjectedPairDispatch(unittest.TestCase):
def test_omitted_and_constant_have_identical_allocations_uploads_and_launches(self):
results = []
for options in ({}, {'explosion': 'constant'}):
run, host, calls, allocations, storage = backend(**options)
self.assertEqual(run._explosion, 'constant')
self.assertTrue(all(p.neighbors is None and p.offsets is None for p in run._pairs))
run.step()
explosion = [args for name, args, _ in calls if name == 'BlockExplode']
self.assertEqual(len(explosion), 7)
self.assertTrue(all(len(args) == 6 for args in explosion))
self.assertFalse(any(name == 'BlockExplodeProjected' for name, _, _ in calls))
results.append(trace(run, calls, allocations, storage))
run.close()
self.assertEqual(*results)
def test_projected_adds_exactly_two_tables_per_adjacent_pair(self):
for depth in (2, 3, 4):
constant, _, _, ca, _ = backend(refinements=FOUR[:depth-1])
projected, _, calls, pa, storage = backend(
refinements=FOUR[:depth-1], explosion='projected_linear')
self.assertEqual(len(pa)-len(ca), 2*(depth-1))
for pair, geometry in zip(projected._pairs, projected.hierarchy.pairs):
self.assertEqual(storage[id(pair.neighbors)].shape, (len(geometry.ghost_fine), 4))
self.assertEqual(storage[id(pair.offsets)].shape, (len(geometry.ghost_fine), 2))
self.assertEqual(pair.neighbors.size, len(geometry.ghost_fine)*4*8)
self.assertEqual(pair.offsets.size, len(geometry.ghost_fine)*2*4)
projected.step()
explosions = [args for name, args, _ in calls if name == 'BlockExplodeProjected']
self.assertEqual(len(explosions), 2**(depth-1)-1)
self.assertTrue(all(len(args) == 8 for args in explosions))
self.assertFalse(any(name == 'BlockExplode' for name, _, _ in calls))
for args in explosions:
pair = next(p for p in projected._pairs if args[2] is p.ghosts)
self.assertIs(args[6], pair.neighbors)
self.assertIs(args[7], pair.offsets)
self.assertEqual(args[5], pair.parent_cells)
constant.close(); projected.close()
def test_three_and_four_level_schedule_has_fresh_midpoint_sources(self):
for depth in (3, 4):
for explosion in ('constant', 'projected_linear'):
run, host, calls, allocations, storage = backend(
refinements=FOUR[:depth-1], explosion=explosion)
before = len(allocations)
events = []
for index, pair in enumerate(run._pairs):
pair.explode.side_effect = lambda source, *a, index=index, **kw: events.append(('explode', index, source))
pair.coalesce.side_effect = lambda child, source, *a, index=index, **kw: events.append(('restrict', index, source))
for index, level in enumerate(run._levels):
level.kernel.side_effect = lambda source, *a, index=index, **kw: events.append(('step', index, source))
level.halo_copy.side_effect = lambda source, *a, index=index, **kw: events.append(('halo', index, source))
expected = []
def hop(index, source):
if index+1 < depth:
expected.append(('explode', index, source))
child = run._levels[index+1]
hop(index+1, child.current)
hop(index+1, child.spare)
expected.append(('halo', index, source))
if index+1 < depth:
expected.append(('restrict', index, source))
expected.append(('step', index, source))
hop(0, run._levels[0].current)
run.step()
self.assertEqual(events, expected)
self.assertEqual([level.kernel.call_count for level in run._levels], [2**i for i in range(depth)])
self.assertEqual(len(allocations), before)
self.assertEqual(run.step_count, 1)
for index in range(1, depth-1):
feeds = [source for name, pair, source in events if name == 'explode' and pair == index]
self.assertEqual(feeds, [run._levels[index].current, run._levels[index].spare] * (2**(index-1)))
run.close()
def test_scalar_windows_follow_the_same_pair_path(self):
run, _, _, _, _ = backend(cfg=LBMConfig(nx=16,ny=16,viscosity=.02),
refinements=[(4,4,12,12),(8,8,16,16),(8,8,16,16)],
level_blocks=[(4,4),(4,8),(8,4),(4,4)], explosion='projected_linear')
self.assertTrue(all(pair.neighbors is not None for pair in run._pairs))
self.assertEqual([pair.parent_cells for pair in run._pairs], [36,60,60])
run.step()
self.assertEqual([level.kernel.call_count for level in run._levels], [1,2,4,8])
run.close()
def test_physics_gate_precedes_context_and_allocations(self):
host = host_module()
context = Mock()
options = dict(refinements=FOUR[:1], level_blocks=[(4,4)]*2,
explosion='projected_linear', context=context)
for cfg, changes in [(CFG, {'explosion':'unknown'}),
(CFG, {'coarse_boundary':'slot_reservoir'}),
(CFG, {'coarse_boundary':'channel'}),
(CFG, {'level_objects':[(),(object(),)]}),
(CFG, {'level_jets':[(),(object(),)]}),
(replace(CFG,collision='MRT'), {}),
(replace(CFG,les_enabled=True), {})]:
with self.subTest(changes=changes, cfg=cfg), self.assertRaisesRegex(ValueError,'explosion'):
host.FixedPatchStepper(cfg, **dict(options, **changes))
context.activate.assert_not_called()
host.cuda.mem_alloc.assert_not_called()
# The constant path still allows MRT.
for options in ({'cfg':replace(CFG,collision='MRT')},):
run, _, _, _, _ = backend(**options)
run.close()
def test_remap_preserves_selector_tables_and_constant_default(self):
for explosion in ('constant','projected_linear'):
run, host, _, _, storage = backend(refinements=FOUR[:2], explosion=explosion)
run._step_count = 7
old = run.download()
clone = run.remap_finest(FOUR[1])
self.assertEqual(clone._explosion, explosion)
self.assertEqual(clone.step_count, 7)
for pair in clone._pairs:
self.assertEqual(pair.neighbors is None, explosion == 'constant')
for expected, actual in zip(old, clone.download()):
np.testing.assert_array_equal(actual,expected)
clone.step()
self.assertEqual((run.step_count,clone.step_count), (7,8))
clone.close(); run.close()
def test_changed_remap_geometry_keeps_projected_in_both_representations(self):
changed = [(22,22,42,42), (72,68,76,76)]
for shifted in (False, True):
run, _, _, _, _ = backend(cfg=replace(CFG,ddf_shifting=shifted),
refinements=FOUR[:2], explosion='projected_linear')
run._step_count = 3
before = run.download()
clone = run.remap_finest(changed)
self.assertEqual(clone._explosion, 'projected_linear')
self.assertEqual(clone.hierarchy.pairs[1].bounds, tuple(changed))
self.assertNotEqual(clone._pairs[1].n_ghosts, run._pairs[1].n_ghosts)
for old, new in zip(run._pairs, clone._pairs):
self.assertIsNot(old.neighbors, new.neighbors)
self.assertIsNotNone(new.neighbors)
for expected, actual in zip(before, run.download()):
np.testing.assert_array_equal(actual, expected)
clone.step()
self.assertEqual((run.step_count, clone.step_count), (3, 4))
clone.close(); run.close()
+9 -1
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')
@@ -153,6 +153,14 @@ class RawExchange(unittest.TestCase):
run._stream.synchronize.side_effect = None
run.close()
def test_dense_observation_rejected_before_device_access(self):
host = host_module()
ctx = Mock()
with self.assertRaisesRegex(ValueError, 'blocked body'):
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):
for level in (1, 2, 3, 7):
self._check_weights_split_and_window(level)
-45
View File
@@ -1,45 +0,0 @@
"""Host reduction contract for the optional observation-window exchange ledger."""
import unittest
import numpy as np
from CelerisLab.lbm.raw_exchange import summarize_exchange
def reduce(rows, window, duration=None, h=.5, time_end=10):
return summarize_exchange(rows, np.array([0, 0, 1]), np.array([False, True, False]),
body_id=0, level=1, h=h, time_end=time_end, window=window,
reference_center=(0., 0.), duration=duration)
class ExchangeWindowReduction(unittest.TestCase):
def test_window_duration_scaling(self):
rows = np.array([[1., 2., 3., 4.], [.5, -1., 0., 1.], [9., 9., 9., 9.]])
out = reduce(rows, "window", duration=4)
np.testing.assert_array_equal(out["total"]["impulse"], [1.5, 1.])
np.testing.assert_array_equal(out["total"]["force"], [1.5 / 4, 1. / 4])
self.assertEqual(out["total"]["torque"], 3. / 4)
self.assertEqual(out["total"]["mass_rate"], 5. / 4)
np.testing.assert_array_equal(out["aperture"]["impulse"], [.5, -1.])
self.assertEqual((out["time_start"], out["time_end"]), (6., 10))
self.assertEqual(out["sample_count"], 8) # duration / h fine substeps
self.assertEqual(out["window"], "window")
def test_existing_windows_unchanged(self):
rows = np.array([[1., 2., 3., 4.], [0., 0., 0., 0.], [0., 0., 0., 0.]])
base = reduce(rows, "last_base_step")
self.assertEqual((base["time_start"], base["sample_count"]), (9., 2))
np.testing.assert_array_equal(base["total"]["force"], [1., 2.])
sub = reduce(rows, "last_substep")
self.assertEqual(sub["sample_count"], 1)
def test_duration_validation(self):
rows = np.zeros((3, 4))
for bad in (None, 0, -1, 1.5, True):
with self.subTest(duration=bad), self.assertRaises(ValueError):
reduce(rows, "window", duration=bad)
with self.assertRaises(ValueError):
reduce(rows, "last_base_step", duration=2)
if __name__ == "__main__": unittest.main()
+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 -385
View File
@@ -7,37 +7,13 @@ 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)
def test_source_pin():
historical = json.loads((r.HERE / "data/refined_dfg/source_manifest.json").read_text())
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")
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
assert r.verify_source(r.DEFAULT_SOURCE)["commit"].startswith("cd3a657")
def test_matched_units_and_planes():
@@ -157,47 +133,24 @@ 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))
def pilot_fixture(path, observation_mode="window", jet_scenario="none", case_selection="both", uniform_diameter=80, placement="wide"):
def pilot_fixture(path):
"""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)
(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)
@@ -224,10 +177,6 @@ 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",
healthy=True,
@@ -243,10 +192,6 @@ 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,
runner_sha256=r.runner_hash(),
@@ -263,7 +208,7 @@ def test_pilot_validation_and_calibration():
with TemporaryDirectory() as tmp:
path = Path(tmp)
manifest = pilot_fixture(path)
assert r.verify_pilot(path, manifest, "MRT", "window") == 3606.0
assert r.verify_pilot(path, manifest) == 3606.0
def test_reject_malformed_pilot_receipts():
@@ -293,7 +238,7 @@ def test_reject_malformed_pilot_receipts():
mutate(bad)
receipt.write_text(json.dumps(bad))
with unittest.TestCase().assertRaises(ValueError):
r.verify_pilot(path, manifest, "MRT", "window")
r.verify_pilot(path, manifest)
# Exact reviewer regression: previously accepted NaN endpoint.
receipt.write_text(
json.dumps(
@@ -305,11 +250,11 @@ def test_reject_malformed_pilot_receipts():
)
)
with unittest.TestCase().assertRaises(ValueError):
r.verify_pilot(path, manifest, "MRT", "window")
r.verify_pilot(path, manifest)
receipt.write_text(json.dumps(valid))
(path / "uniform/ready.json").write_text("{}")
with unittest.TestCase().assertRaises(ValueError):
r.verify_pilot(path, manifest, "MRT", "window")
r.verify_pilot(path, manifest)
def test_strict_finite_json_and_deadline():
@@ -338,326 +283,6 @@ def test_pressure_probes_actual_body_mask():
assert h.pressure_probes(np.ones(pair.fine_shape), fluid, p)["dp"] == 0.0
def test_matched_mrt_selection():
for diameter in (40, 80):
srt, sbody, sp = r.config(h, diameter)
mrt, mbody, mp = r.config(h, diameter, "MRT")
assert mrt["method"]["collision"] == "MRT"
mrt["method"]["collision"] = "SRT"
assert mrt == srt and mbody == sbody and mp == sp
srt_plan, mrt_plan = r.plan(h), r.plan(h, "MRT")
for key in ("root", "uniform", "bounds_root_edge", "finest_dx_m", "finest_dt_s"):
assert srt_plan[key] == mrt_plan[key]
assert "q2/6/8" in mrt_plan["outlet"] and "all nine" in srt_plan["outlet"]
cfg, pair, _, host = r.host_geometry(r.DEFAULT_SOURCE, h, "MRT")
assert cfg.collision == "MRT" and pair.fine_shape == (240, 568)
assert len(host.boundary_cells) > 0
def test_reject_collision_receipts():
from tempfile import TemporaryDirectory
for rel in ("plan.json", "uniform/summary.json", "refined/summary.json",
"uniform/ready.json", "refined/ready.json"):
for invalid in ("SRT", None):
with TemporaryDirectory() as tmp:
path = Path(tmp)
manifest = pilot_fixture(path)
receipt = path / rel
record = json.loads(receipt.read_text())
if invalid is None:
record.pop("collision")
else:
record["collision"] = invalid
receipt.write_text(json.dumps(record))
with unittest.TestCase().assertRaises(ValueError):
r.verify_pilot(path, manifest, "MRT", "window")
def test_record_actual_checkout_separately():
from source_provenance import checkout_provenance
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")
def test_window_plan_preserves_physics():
for collision in ("SRT", "MRT"):
baseline = r.plan(h, collision)
window = r.plan(h, collision, "window")
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"
with unittest.TestCase().assertRaises(ValueError):
r.verify_source(r.DEFAULT_SOURCE, "MRT", "unknown")
def test_reject_observation_mode_receipts():
from tempfile import TemporaryDirectory
for mode, other in (("window", "last_base_step"), ("last_base_step", "window")):
with TemporaryDirectory() as tmp:
path = Path(tmp)
manifest = pilot_fixture(path, mode)
assert r.verify_pilot(path, manifest, "MRT", mode) == 3606.0
with unittest.TestCase().assertRaises(ValueError):
r.verify_pilot(path, manifest, "MRT", other)
for rel in ("plan.json", "uniform/summary.json", "refined/summary.json",
"uniform/ready.json", "refined/ready.json"):
for invalid in (other, None):
with TemporaryDirectory() as tmp:
path = Path(tmp)
manifest = pilot_fixture(path, mode)
receipt = path / rel
record = json.loads(receipt.read_text())
if invalid is None:
record.pop("observation_mode")
else:
record["observation_mode"] = invalid
receipt.write_text(json.dumps(record))
with unittest.TestCase().assertRaises(ValueError):
r.verify_pilot(path, manifest, "MRT", mode)
class ExchangeFixture:
"""Synthetic interval ledger for orchestration tests, not a solver or GPU result."""
def __init__(self):
self.step_count = 11
self.events = []
self.begin = None
self.override = {}
def start_exchange_window(self):
self.begin = self.step_count
self.events.append(("start", self.step_count))
def step(self, n):
self.events.append(("step", n))
self.step_count += n
def result(self, start, window):
from CelerisLab.lbm.raw_exchange import summarize_exchange
total = sum(range(start + 1, self.step_count + 1))
result = summarize_exchange([[total, -2*total, 0., 0.]], [0], [False],
body_id=0, level=1, h=.5, time_end=self.step_count, window=window,
reference_center=(80.5, 81.),
**({"duration": self.step_count-start} if window == "window" else {}))
result.update(self.override)
return result
def read_exchange_window(self, body_id, *, level):
assert body_id == 0 and level == 1
self.events.append(("read_window", self.step_count))
return self.result(self.begin, "window")
def read_raw_exchange(self, body_id, *, level, window):
assert body_id == 0 and level == 1 and window == "last_base_step"
self.events.append(("read_raw", self.step_count))
return self.result(self.step_count-1, window)
def test_window_interval_impulse_sampling_and_units():
base, window = ExchangeFixture(), ExchangeFixture()
for n in (80, 2000, 3): # Pilot/dense, early full, and final partial interval.
begin = base.step_count
a = r.advance_refined_interval(base, n, float("inf"), "last_base_step")
w = r.advance_refined_interval(window, n, float("inf"), "window")
np.testing.assert_array_equal(w, a)
expected = sum(range(begin+1, begin+n+1))
np.testing.assert_array_equal(w, [expected, -2*expected])
den = .5 * r.SPEED**2 * 40
np.testing.assert_array_equal(w/n/den, a/n/den)
assert window.step_count == base.step_count == begin+n
assert window.events[-3:] == [("start", begin), ("step", n), ("read_window", begin+n)]
assert (begin+n/2)*r.SPEED/40 == (window.step_count-n/2)*r.SPEED/40
assert not any(event[0] == "read_raw" for event in window.events)
def test_window_contract_rejection():
for key, value in (("units", "local"), ("window", "last_base_step"),
("sample_count", 2), ("time_start", 0), ("time_end", 0), ("dt", 1.)):
backend = ExchangeFixture()
backend.override[key] = value
with unittest.TestCase().assertRaisesRegex(RuntimeError, "window force"):
r.advance_refined_interval(backend, 80, float("inf"), "window")
backend = ExchangeFixture()
with unittest.TestCase().assertRaises(TimeoutError):
r.advance_refined_interval(backend, 80, 0, "window")
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
refined_calls = []
refined = SimpleNamespace(set_jet_amplitude=lambda i, a, *, level: refined_calls.append((i, a, level)))
n, event = r.jet_interval(refined, "reverse", switch, 80, diameter, level=1)
assert n == 80 and event["step"] == switch and event["tstar"] == 300
assert refined_calls == [(0, -.001, 1), (1, .001, 1)]
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)
+3 -3
View File
@@ -142,7 +142,7 @@ class FixedPatchTests(unittest.TestCase):
FixedPatch2D.from_config(LBMConfig(nx=nx, ny=ny, viscosity=.1), bounds)
def test_unsupported_backend_and_fine_relaxation_rejected(self):
for kwargs in ({"collision": "TRT"}, {"streaming": "esopull"},
for kwargs in ({"collision": "TRT"}, {"collision": "MRT"}, {"streaming": "esopull"},
{"les_enabled": True},
{"store_precision": "FP16S"}, {"lattice_model": "D3Q19"},
{"data_type": "FP64"}, {"omega_min": 1.0}):
@@ -177,7 +177,7 @@ class FixedPatchSetTests(unittest.TestCase):
self.assertEqual((fy, fx), (32, 48))
rows = cells = 0
for p in s.patches:
y0, x0 = p.fine_level_offset
y0, x0 = p.fine_level_origin
ly, lx = p.fine_shape
np.testing.assert_array_equal(s.fine_kind[y0:y0 + ly, x0:x0 + lx], p.fine_kind)
gy, gx = np.divmod(p.ghost_fine.astype(np.int64), lx)
@@ -224,7 +224,7 @@ class FixedPatchSetTests(unittest.TestCase):
layout = s.fine_layout((4, 4))
support = np.zeros(s.fine_shape, bool)
for p in s.patches:
y0, x0 = p.fine_level_offset
y0, x0 = p.fine_level_origin
support[y0:y0 + p.fine_shape[0], x0:x0 + p.fine_shape[1]] = True
np.testing.assert_array_equal(layout.owned, support)
self.assertTrue(layout.owned.ravel()[s.ghost_fine.astype(np.intp)].all())
-53
View File
@@ -1,53 +0,0 @@
"""Host guards and source contract for MRT reuse in refined/blocked stepping (no CUDA)."""
from pathlib import Path
import unittest
from CelerisLab.config import LBMConfig
from CelerisLab.lbm.refinement import FixedPatch2D
KERNELS = Path(__file__).resolve().parents[2] / "src/CelerisLab/lbm/kernels"
BOUNDS = (8, 6, 16, 14)
class RefinementMRTHost(unittest.TestCase):
def test_patch_accepts_implemented_models(self):
for collision in ("SRT", "MRT"):
with self.subTest(collision=collision):
FixedPatch2D.from_config(LBMConfig(nx=24, ny=20, viscosity=.1, collision=collision), BOUNDS)
def test_patch_rejects_unimplemented(self):
for options in (dict(collision="TRT"), dict(collision="MRT", les_enabled=True)):
with self.subTest(options=options), self.assertRaises(ValueError):
FixedPatch2D.from_config(LBMConfig(nx=24, ny=20, viscosity=.1, **options), BOUNDS)
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()
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)
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("collide_srt(f, feq, forcing, omega);", block_collision)
self.assertIn("#elif BLOCK_ROOT_BC == 2", block_collision)
self.assertEqual(channel.count("block_collide(f);"), 1)
self.assertNotIn("collide_mrt_unforced(f);", channel)
for source in (blocks,):
self.assertIn("(COLLISION_MODEL != 0 && COLLISION_MODEL != 2)", source)
self.assertIn("USE_LES", source)
self.assertIn("STORE_PRECISION != 0", source)
self.assertIn('#if COLLISION_MODEL == 2\n#include "operators/collision_mrt.cuh"\n#endif', source)
# 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 + "\n" + block_collision):
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")
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__':

Some files were not shown because too many files have changed in this diff Show More