[{"data":1,"prerenderedAt":222},["ShallowReactive",2],{"run:chair-batched-30k":3,"run-findings:chair-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},"chair-batched-30k","A.7 × multi-scene: chair 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\u002Fchair",{"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},22.77984046936035,"18m 39s",false,39451,"3.224788e-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],0.3222108781337738,0.09952099621295929,0.10612176358699799,0.08528251945972443,0.057204410433769226,0.04942518472671509,0.04773763567209244,0.043932825326919556,0.04292351007461548,0.041351817548274994,0.04026620090007782,0.041055258363485336,0.039572037756443024,0.03858000040054321,0.038193605840206146,0.03728910908102989,0.0365210622549057,0.036423370242118835,0.03617585450410843,0.03590069338679314,0.03513118624687195,0.03536803647875786,0.034726377576589584,0.03555775061249733,0.03535166755318642,0.03487072512507439,0.034968577325344086,0.0339643619954586,0.03422529622912407,0.03469080477952957,0.033709634095430374,0.03424078971147537,0.0340823158621788,0.03424772247672081,0.03355243057012558,0.03388349711894989,0.033766020089387894,0.03326363116502762,0.03413962945342064,0.0338234044611454,0.032620374113321304,0.033627551048994064,0.03771992027759552,0.03280935436487198,0.032600946724414825,0.032779302448034286,0.032722264528274536,0.03332557901740074,0.03225795924663544,0.03384876251220703,0.03296418488025665,0.033012256026268005,0.033606596291065216,0.03251476213335991,0.033711276948451996,0.03290416672825813,0.032589614391326904,0.03369140625,0.03278272971510887,0.03283069282770157,0.0322478786110878,{"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],5207,5776,14078,{"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",[208,5,209,210,211,212,213,214,215,216],"chair-30k","ficus-30k","ficus-batched-30k","drums-30k","drums-batched-30k","hotdog-30k","hotdog-batched-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",1782449787765]