[{"data":1,"prerenderedAt":222},["ShallowReactive",2],{"run:hotdog-batched-30k":3,"run-findings:hotdog-batched-30k":189},{"run":4,"config":14,"metrics":45,"curve":51,"assets":183},{"id":5,"title":5,"subtitle":6,"eyebrow":7,"date":8,"workspace":9,"commit":10,"tags":11,"verdict":13},"hotdog-batched-30k","A.7 × multi-scene: hotdog 30k with SPLAT_BATCHED_FORWARD=1","Run summary · Phase 5","2026-05-23","splat","5573681",[12,5],"auto-bench","partial",[15,18,21,24,27,30,33,36,39,42],{"key":16,"value":17},"dataset","\u002FUsers\u002Fotkrickey\u002Fdev\u002F3dgs-workspace\u002Fdatasets\u002Fnerf_synthetic\u002Fhotdog",{"key":19,"value":20},"iterations","30,000",{"key":22,"value":23},"seed","42",{"key":25,"value":26},"capacity","1,000,000 splats",{"key":28,"value":29},"sh_degree","3",{"key":31,"value":32},"loss","L1Ssim",{"key":34,"value":35},"lambda","0.200",{"key":37,"value":38},"ssim","window=7 sigma=1",{"key":40,"value":41},"backend.backward","Simd",{"key":43,"value":44},"backend.loss_path","Gpu",{"psnr":46,"wallclock":47,"wallclock_regress":48,"splats":49,"final_loss":50},29.461942672729492,"22m 35s",false,80841,"1.073494e-2",{"loss":52,"splats":177},{"iters":53,"values":115},[54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114],1,500,1000,1500,2000,2500,3000,3500,4000,4500,5000,5500,6000,6500,7000,7500,8000,8500,9000,9500,10000,10500,11000,11500,12000,12500,13000,13500,14000,14500,15000,15500,16000,16500,17000,17500,18000,18500,19000,19500,20000,20500,21000,21500,22000,22500,23000,23500,24000,24500,25000,25500,26000,26500,27000,27500,28000,28500,29000,29500,30000,[116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176],0.30586251616477966,0.06280432641506195,0.060711756348609924,0.046031445264816284,0.027378778904676437,0.02032546140253544,0.019505323842167854,0.017922569066286087,0.017131121829152107,0.015448924154043198,0.014543667435646057,0.015688123181462288,0.01311741303652525,0.013026243075728416,0.013582803308963776,0.012416345998644829,0.01326177641749382,0.012306824326515198,0.01245339959859848,0.013949863612651825,0.012563509866595268,0.012817192822694778,0.013046104460954666,0.012234894558787346,0.012685125693678856,0.01078898087143898,0.011619937606155872,0.01132634375244379,0.011102843098342419,0.011445443145930767,0.010797462426126003,0.01097382977604866,0.011380231007933617,0.011842211708426476,0.011344678699970245,0.01102173700928688,0.009271602146327496,0.010923102498054504,0.011883760802447796,0.010502367280423641,0.011762164533138275,0.012201662175357342,0.011103211902081966,0.010580255649983883,0.010582751594483852,0.011164646595716476,0.010703186504542828,0.01145205833017826,0.01283680833876133,0.010315709747374058,0.009803034365177155,0.010706620290875435,0.009909581393003464,0.011886635795235634,0.013397552073001862,0.01101253367960453,0.011539751663804054,0.011383377015590668,0.012183079496026039,0.013974694535136223,0.010734939016401768,{"iters":178,"values":179},[54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114],[180,181,182,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49,49],5207,5565,22348,{"has_renders":184,"has_splat":48,"render_views":185},true,[186,187,188],"00","01","02",[190],{"id":191,"title":192,"date":8,"status":193,"polarity":194,"category":195,"axes":196,"tags":198,"task_code":206,"related_runs":207,"delta_psnr":217,"delta_wallclock":218,"rank":219,"verdict":13,"impact_summary":220,"detail_path":221},"a-7-multi-scene-batched","A.7 × multi-scene — batching 効果は scene 依存 (-1.6% 〜 -18.6% で 12x の幅)","stable","mixed","experiment",[197],3,[199,200,201,202,203,204,205],"phase-5","a-7","icb","batched","multi-scene","scene-dependency","apple-silicon","A.7",[208,209,210,211,212,213,214,5,215,216],"chair-30k","chair-batched-30k","ficus-30k","ficus-batched-30k","drums-30k","drums-batched-30k","hotdog-30k","lego-sh3-30k","lego-a7-batched-30k","+0.130 dB 〜 -0.828 dB (mean -0.21 dB)","-1.6% 〜 -18.6% (mean -7.0%)","high","A.7 batched cmd buffer の wallclock 改善は scene 依存で chair -18.6% \u002F hotdog -5.4% \u002F drums -3.4% \u002F ficus -1.6% \u002F lego -6.16% の 5 シーン (12x の幅)。chair の突出は splat 数最大 (~130k) + scene geometry の compute\u002Fcommit ratio が高いことが要因と推測。一方 ficus \u002F drums は variance 範囲内、独立 effect 断定不可。卒論で「A.7 effective ≠ universal、scene 選択 + workload analysis 必須」と honest framing。","\u002Ffindings\u002Fa-7-multi-scene-batched\u002F",1782449787766]