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Run summary · 1x roadmap v2 W2
lego-w2-smoke-1k-rmw-perkernel
W2 chained submission 1k smoke (submission = per_kernel, scale_reg weight = 0.001)
partial pass
01
設定
- dataset
- /Users/otkrickey/dev/3dgs-workspace/datasets/nerf_synthetic/lego
- gt_convention
- Premultiplied
- iterations
- 1,000
- 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
- Cpu
- backend.binning
- Resident
- backend.tile_sort
- GlobalRadix
- backend.submission
- PerKernel
- backend.target_cache
- true
- backend.shader_fast_math
- true
- os_build
- 26.5.2 (25F84)
02
結果
Val PSNR
18.06dB
Wallclock
9.98s
Final splats
6,206
Final loss
8.677518e-2
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 | 5.9384e-1 |
| 100 | 2.3660e-1 |
| 200 | 1.2833e-1 |
| 300 | 1.2225e-1 |
| 400 | 1.1890e-1 |
| 500 | 1.1665e-1 |
| 600 | 1.0839e-1 |
| 700 | 1.0167e-1 |
| 800 | 9.4643e-2 |
| 900 | 9.0999e-2 |
| 1,000 | 8.6775e-2 |