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0e9df9e5a7 |
perf(gen): the game path is NOTHING like the export path -- and empty tiles cost 5.6s
Overnight task 3. The headline is not a speedup: it is that we have been measuring
the wrong thing all along.
⭐ IN-GAME MEASUREMENT, FINALLY (headless -game -nullrhi, TunnelNetwork PIE map)
46,078 profiled tile calls
46,025 EMPTY (99.885%)
53 actually meshed
meshed p50 0.6085 s p95 4.9075 s max 5.0199 s mean 1.3515 s
LOD1-3 empty medians ~2-3 us
LOD4 empty OUTLIERS up to 5.618 s
The pawn fell through successive strata during the run, reproducing the owner's
"I can outrun the generation and fall" exactly.
Two facts to sit with:
1. **Almost nothing is meshed. 99.9% of tile requests produce nothing** -- and some
of those empty tiles take FIVE AND A HALF SECONDS. A tile that generates no
geometry costing seconds is the bug, and it is classification cost, not meshing.
2. The export path we have optimised for three rounds does 64 tiles in ~1.5 s
total. The game does 46,078 calls with multi-second tile latency. **They share
the density function and nothing else about their cost profile.**
⇒ Every optimisation so far was aimed at the path the owner does not play.
WHY NO BLOCK CAN BE SKIPPED -- answered, and it is structural
Per-op bound-vs-brute-force table produced (op_bounds.json). Most ops bound fine
once given proven suprema, and those were tightened:
FBM envelope 1.5, cellular 6.0, SdfConvertOp exact 2*|BaseDensity| = 16,
Lerp radius envelope max(Min,Max), plus state-aware room/column/floor-bias/worm/
terrace/cliff/arch/dome/pinch/roughness bounds. Structural ops now return exact
zero outside their geometric bands.
But OriginSpineOp, PassageCarveOp and the active seals **cannot** take a finite
generic density bound: they Lerp/Min/Max against the CURRENT density, so with
arbitrary incoming density their supremum is mathematically unbounded. This is not
a missing EffectOverBox, it is the operator semantics.
⇒ Hierarchical evaluation requires propagating a density INTERVAL through the
stack, or changing those operators. That is the real prerequisite, now named.
Early-out with tightened bounds still skips 0 of 4,096 blocks and costs 96.6%
(3.305 -> 6.497 s). Left opt-in and DISABLED. ClassifyTile's TerrainZ/overhang
guard untouched.
SPATIAL INDEX REMOVED (ee89c4d's, which never earned its keep)
wall clock 3.1407 s on -> 3.1894 s off = 1.5%, below the 17% floor
cache bytes 557,626,564 -> 246,049,920 = -297 MiB
candidates 19.5M -> 81.6M scanned (4.17x), evaluated +25.6%
Memory the owner can feel beats counters he cannot. Per-primitive broadphase stays.
VERIFIED END-TO-END on a correctly built binary: 1.515 / 1.554 / 1.569 s, geometry
hash 98eaad61..d3c4f unchanged from
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2f33870a84 |
perf(mesher): adjacent tiles were re-evaluating 18% of the field -- 2.69s to 1.49s
Overnight task 2. Every claim here is end-to-end wall clock on a real 128^3 export,
not a profiled bucket, because the last two rounds shipped large bucket wins worth
0% in reality. Measurement floor is ~17% run-to-run; only Part 2 cleared it.
PART 2 -- KEPT. Density-grid reuse.
The mesher samples an expanded grid (-1..Cells+1), so adjacent tiles re-evaluated
their shared boundary planes. Measured: 2,744,000 requested samples contained
495,909 duplicates -- 18.07% of the field generated twice. A run-scoped read-only
lattice (FVoxelSharedDensityGrid) owns each world sample once and hands it to both
adjacent tile grids. Duplicates now 0.
128^3 TunnelNetwork seed 1337 slot 1, freshly built binary:
before 2.603 / 2.693 / 2.697 s
after 1.488 / 1.499 / 1.486 s -44.6%, 1.80x
Geometry SHA-256 98eaad61..d3c4f IDENTICAL to the pre-change binary's output.
153,740 triangles either way. Pure win, no field change.
The lattice is deliberately not a UObject and not a cache with eviction: ownership,
lifetime and iteration order stay explicit. A malformed or incomplete lattice is
ignored and falls back to the canonical generator path rather than altering geometry.
PART 1 -- REVERTED. Block-level empty-space early-out.
**0 of 4,096 blocks were safely classifiable**, and the attempt made it 85% slower
(3.632 -> 6.735 s). No unsafe bound was retained.
⇒ This is a finding, not just a failure: our conservative bounds are too loose to
prove ANY 8^3 block uniform. Hierarchical evaluation of any kind is blocked until
we know which operator has effectively unbounded reach. Next task.
PART 3 -- REVERTED. Task granularity.
15 workers, 64 tile jobs, mean job 0.594 s, launch fringe ~14.1 us. MinBatchSize=4
was 1.09% SLOWER end-to-end despite a better bucket time -- exactly the trap this
task's rule exists to catch. Default stays 1. ParallelForWithExistingTaskContext
not adopted.
PART 4 -- NO CHANGE. Renderer audited over 3 runs (8.736 s total, 1.483 s raster).
Mesh and BVH are already reused across viewpoints; no per-pixel heap allocation, no
redundant remeshing. Nothing gross to fix; it benefits from the above automatically.
STILL OPEN: the spatial index from
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e63f016835 |
tools(profile): the instrument lied by 11.5x -- now it checks itself, and batching kills startup cost
Overnight task 1 of the owner's mandate: "better diagnostic, profiler and tools, so we can batch test way more quicker." WHY THIS CAME BEFORE ANY MORE OPTIMISATION |
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ee89c4d8c2 |
perf(gen): 5x fewer candidates, 16x cheaper floor -- and 0% end-to-end. Read the last section.
Owner, after playing
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0576e800c4 |
perf(gen): the landing work was per-voxel -- 342s to 2.6s, same world
The owner played |
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e08b49a183 |
perf(gen): a thrashing one-slot cache cost 18.7x -- and the world is unchanged
TunnelNetwork density evaluation was 45x more expensive than Maze for identical work: 2,097,152 voxels, 64 tiles, same mesher, same machine. Profiling killed every hypothesis I brought to it -- box classification skipping 0/64 tiles was true but irrelevant (export bypasses classification), near-surface early-outs fired at 49.7%, the room cache built 340 entries for 2.74M samples, and the per-room overrides resolved once per sample rather than once per modifier. The cause was the wrapper, not the stack. A mesher tile samples an EXPANDED grid (-1..Cells+1), so one worker crosses several exact chunk coordinates while meshing a single tile. The generator's cache held only the last coordinate, so every boundary crossing rebuilt the resolved parameters, the whole 22-operator stack and the tunnel-core cache. On one representative tile: 3,675 refetches, 38.0s. The entire operator stack was 18.5s of a 4,272s total -- 0.43%. Replaced with a 128-slot direct-mapped thread_local cache keyed on owner, chunk, layout version, params fingerprint and generator type. Collisions force a safe rebuild, never a stale read. No shared mutable state, no order-dependent reduction. TunnelNetwork 344.5s / 164.267 us/vox -> 18.4s / 8.763 us/vox (18.7x) Maze 7.4s / 3.535 us/vox -> 1.08s / 0.513 us/vox ( 6.9x) same tile 38.0s -> 0.51s ; refetches 3675 -> 27 Output is BYTE-IDENTICAL, before vs after and across repeats, both archetypes: TunnelNetwork 50d6b4d0..f23126, Maze 364f7489..2fbe99. The permission to change the field was not needed. Also in this commit, from the two preceding tasks: - Explorer renders from the MESH instead of raymarching. It meshes the region once through the canonical UVoxelMarchingCubesMesher, then CPU-rasterises via a BVH. A viewpoint went from ~16 minutes to 0.155s; 8 views now cost 1.25s of drawing. No render pixel samples the density field. - One sampled grid and player-fit mask per run, shared by render/walk/export, instead of the same 368s walk computed twice. - A wall-clock budget (25 min default, hard 30 max) that stops cleanly and records truncated/truncated_during/completed_modes rather than overshooting. - ParallelFor across the measurement sampling; the suite was ~10% of a 16-thread machine. - -surfaceroughness= on the commandlet, and a surface-relief metric in export mode (edge lengths, dihedral distribution, face-vs-smooth normal divergence) so "does this look like rock" is a number, not a screenshot argument. - Smooth vertex normals in the rasteriser: FVoxelMeshData::Normals is the density-gradient normal the engine shades with, and the raster path was recomputing a face normal over it. - ScaleDiagnosis: baked candidate indices are now derived from the current corpus, so a legitimate field change stops breaking the test. NOT verified, and not claimed: - TunnelNetworkSpineEquivalence exceeded the 30-minute cap and was stopped. Inconclusive, not passing. The identical hashes are strong evidence the op-stack/legacy equivalence holds, but the test has not confirmed it. - CrossPlatformDigest passes but reports 2 samples within 1e-6 of the isosurface; FMath::Sin/Cos leaves Windows/Linux equivalence unproven. Pre-existing, not caused by this change. - The cache's memory footprint (128 entries x ~16 workers) is unmeasured. What the roughness sweep settled, for the record: SurfaceRoughness 0 -> 8 moves cost by 0.3% (163.2 / 163.2 / 163.7 us), so roughness was never the cost. It does reach the surface (dihedral p50 1.1 -> 2.2 -> 5.9), which kills my claim that the density-channel operator contributed nothing. TunnelNetwork's hard seams are present at roughness 0 (4.4% of edges past 40 deg vs Maze's 1.0%), so they are structural -- in how primitives are unioned -- not a roughness deficiency. More roughness makes them worse, not better. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012aheo2crrZmHuYtPpdY2Cb |
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d97373c5a8 |
feat(gen): Jahni's playtest corrections -- rooms flattened, roads deleted
From walking a TunnelNetwork preset at (0,0). Four corrections, and two of
them were the same mistake.
2a. The (0,0) landing room is sized to host a FUTURE straight vertical
shaft from the surface, with flooring around the origin itself. The
room is the landing for a shaft the player digs later.
2b. The inter-strate descent no longer starts at the spine -- placed by
deterministic hash within a radius around (0,0). The spine room is for
the surface shaft; the descent is elsewhere.
2c. ⛔ DELETED the landing->hub connector roads from
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55bf807f60 |
feat(descent): landing ROOMS and a walkable tunnel -- per Jahni's correction
Jahni corrected the design: "the connection between level is a tiny tunnel
connecting both strate, not vertical, it needs to be walkable" and "'the
spine' shouldn't be carved except optionally from the top first strate,
then it's used to have a landing room".
COMPOSER-NOTES §6.8 had said the spine "provides a clean landing space, not
a continuous open shaft" -- and the implementation carved a vertical
cylinder anyway. A vertical cylinder has no walkable floor except at its
bottom, so a carve guaranteeing open AIR guaranteed nothing STANDABLE.
That one omission is behind five of my dead hypotheses this week.
Now:
origin spine a finite rounded ROOM per strate, no vertical bore.
radius 14 -> 8 m wide, 7.5 m tall
descent a walkable tunnel, single-file by design: 3 m mouth,
2.5 m waist, gradient capped at a NAMED 15 deg
exotic styles VerticalShaft / SpiralDescent / CascadingDrops /
CrackCrevice preserved, no longer the default
⚠️ THE GEOMETRY BITES, and it is worth Jahni's eye: at 15 deg a 32 m drop
needs 119.4 m of horizontal run -- about 59.7 m per switchback leg. That is
a long walk between strates. It is the honest consequence of "walkable",
not a tuning artifact, and the alternative is a steeper number.
⭐ AND THE ROOT CAUSE GOT NAMED A THIRD TIME, by Codex mid-run: "the round
tube was hollow air but had no authored support strip, so 'open' still did
not mean 'standable'." Tunnels now carry a floor band, and the root join
terminates in the finite origin room rather than an annular shaft hub.
Measured, commandlet sweep, 8 archetypes x 8 seeds, 64/64 valid:
origin column has player-fit cells 17/64 -> 63/64
origin column reachable 0/64 -> 7/64
arrival landing probes 315/320 fit AND in the arrival component
tunnel audit 5,916/5,916 floor and capsule samples pass; zero gradient,
floor, capsule, geometry or seal failures
narrow-gap events 0 box verdicts 14 checked, 0 violations
⚠️ arrival->departure is 6/64. The landings and tunnels are now provably
walkable; what remains is the INTRA-STRATE vertical connectivity problem
found in
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6b916699af |
test(explore): 81 runs in an afternoon -- every failure is a DROP, not a squeeze
First real use of the commandlet, and it paid for itself immediately: 64
sweep runs + failure renders + origin probes, which at the old 73-minutes-
per-automation-run would have been days.
⭐ FINDING 1: THE WORLD IS FRAGMENTED VERTICALLY, NOT PINCHED.
Across all 64 runs: ZERO narrow-gap events. Every failed run has separate
arrival/departure fit components with a positive gap, 12.75 m to 72.98 m.
So corridors are not too tight anywhere -- the space is severed.
And for the first time in this project we LOOKED at a failure instead of
inferring from aggregates:
FlatPlain/42 "a broad flat floor sheet with a sharp diagonal ledge
descending into black open space" -- a drop, gap 63.9 m
SurfaceWorld/7 "terrain shelves and a large black void between them.
There is no connecting floor" -- gap 51.8 m
Maze/42 "a massive solid rock wall/overhang fills the separation"
-- gap 27.7 m
I checked the images myself. FlatPlain shows two floor LEVELS 27 m apart
in Z with nothing joining them.
⇒ The missing thing is VERTICAL CONNECTION between floor levels. Ramps,
slopes, ledges, stairs. Every archetype builds floors; nothing builds a way
between them.
⭐ FINDING 2: THE ORIGIN HUB IS NOT REACHABLE, which contradicts
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bd547c35c4 |
feat(explore): a commandlet -- 91x faster, and the first real PICTURE
Every experiment in this project cost a build + full-suite cycle. The
landing task took 52 of them over ~9 hours. And nobody could SEE the world:
every visual judgement all session was made on density SLICES -- diagrams,
not pictures. That is how a floor heaving 1.4 m every two metres got
described as "roughness visible but modest" while Jahni spotted it in
thirty seconds by walking it.
-run=VoxelForgeExplore, editor-only module, three modes, one build many runs:
render raymarched PNGs, fixed 0.25-voxel step + 10 bisection iterations
(NOT sphere tracing -- the op stack yields density, not a signed
distance, so a long step tunnels through walls). Three views, each
with a 1.76 m human marker in frame, because every scale mistake
here came from numbers with no body beside them.
walk an agent using the EXISTING VF player-fit stencil, never its own
movement model -- two definitions of "can a player stand here"
would drift and we could not tell which was lying.
export OBJ through the canonical UVoxelMarchingCubesMesher. No second
mesher; a forked meshing invariant is the bug this project keeps
paying for. 23.2 MB, 106,762 verts, 200,842 tris for 128^3.
⭐ THE NUMBER THAT JUSTIFIES IT: the full automation run takes 4,396 s
(73m16s). The commandlet does all three modes in 48.1 s wall, 5.9 s of
which is engine startup. ~91x faster. And I had guessed the suite cost
~90 s -- it is 73 MINUTES. The iteration loop was far more expensive than
I knew.
First real walk metrics on the Maze (seed 0, slot 4):
distance 214 m · tortuosity 4.98 · dead ends 0.935/100 m
narrow-gap events 0 · reachable fit fraction 3.01%
result NotConnectedAtThisResolution
Tortuosity ~5 is a genuinely winding route, which is right for a maze.
3% reachable is not.
Editor Development build clean. SHIPPING build clean with the receipt
containing VoxelForge and NOT VoxelForgeEditor -- the instrument cannot
reach a packaged game. Automation 32/32, 0 failed.
⚠️ Codex initially shipped this UNBUILT, and correctly: I omitted the
## Validation section from that spec, so it fell back to CLAUDE.md's
"NEVER build or compile". 100+ compile errors from three causes -- bare
TCondensedJsonPrintPolicy and TJsonWriter needing their template
arguments, and a missing UObject/Package.h. That include is the SECOND
miss this session, so CODEMAP §6 now carries the gotcha.
⚠️ Unrelated, found in passing: VoxelForge.uplugin does not declare
RealtimeMeshComponent although the runtime module uses it.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01K8V9my1PL68pmQb2gutZZV
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