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Run summary · docs/findings/p3-kernel-share-post-s3.toml §C2 — 計装基盤実装後の 12.5k 実測
c2-12500-depth2-prof
C2 計装確認: Lego 12.5k full run (profile=true, pipelining=depth2)。gpu_gap_report で残差 4.54s を cb_gap/drvproc/handoff/host_lead に分解する
partial pass
01
設定
- dataset
- /Users/otkrickey/dev/3dgs-workspace/datasets/nerf_synthetic/lego
- gt_convention
- Premultiplied
- iterations
- 12,500
- seed
- 42
- capacity
- 1,000,000 splats
- sh_degree
- 3
- loss
- L1Ssim
- lambda
- 0.200
- ssim
- window=7 sigma=1
- backend.backward
- Simd
- backend.loss_path
- Gpu
- backend.emit_pairs
- Original
- backend.forward
- F32
- backend.dispatch
- PerStage
- backend.radix_scan
- GpuHierarchical
- backend.radix_scatter
- SimdBallot
- backend.binning
- Resident
- backend.tile_sort
- GlobalRadix
- backend.submission
- Chained
- backend.target_cache
- true
- backend.shader_fast_math
- true
- os_build
- 26.6.2 (25G83)
- backend.ssim_clear
- HostMemset
- backend.raster_grad_clear
- HostMemset
- backend.backward_uniform
- HostBuffer
- backend.lazy_c3_scratch
- false
- backend.ssim_walk
- PerChannel
02
結果
Val PSNR
36.07dB
Wallclock
2m 4s
Final splats
406,651
Final loss
5.620129e-3
03
3D ビューワー
学習結果 PLY を .splat 形式に変換し、antimatter15/splat の WebGL ビューワーで対話表示。
04
推移
Loss curve — 反復ごとの training loss
Splat count — refine の発火と最終構成
05
中間ログ抜粋
| iter | 本 run loss |
|---|---|
| 1 | 5.9385e-1 |
| 1,000 | 5.4603e-2 |
| 2,000 | 1.4249e-2 |
| 3,000 | 8.5604e-3 |
| 4,000 | 7.5872e-3 |
| 5,000 | 6.6795e-3 |
| 6,000 | 6.2273e-3 |
| 7,000 | 6.0266e-3 |
| 8,000 | 5.8862e-3 |
| 9,000 | 5.8006e-3 |
| 10,000 | 5.6984e-3 |
| 11,000 | 5.5891e-3 |
| 12,000 | 5.6235e-3 |
| 12,500 | 5.6201e-3 |
06
関連 finding
この run を related_runs に含む finding (Positive / Negative どちらも)。