{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/census/window-partition","entry":"window_partition","source":"Syntology differential census (groundwork/55, run v2_2026-09-22), per sample; not an archive number","census_date":"2026-09-22","battery_sha256":["b986f7e04d794a0d88ad4c5f32cf63ec3590b5deff0192150737bc5f1c0b4677"],"runner_sha256":["5a452d0e7c0da5b80771d1be2afe3572e253568cf5c5d59a0d08ebd663d00808"],"bucket_key":"positional (rank, kind, dtype) of each array argument; the argument name is not part of the key because the harness draws the shared array from (rank, kind) and casts it to the dtype, whatever the name","bucket_fields":["rank","kind","dtype"],"claim":"Implementations sharing this entry name were each run on one shared input fixed by the positional (rank, kind, dtype) of their array arguments (the bucket). A cluster is the set whose recorded output digest (sha256 of the output rounded to 6 decimals) is identical. Identical values to six decimals on the shared input are agreement on those inputs, not a statement about the whole domain and not a substitution claim.","n_implementations_compared":13,"n_papers":17,"n_buckets":3,"n_distinct_outputs":5,"n_class_bearing":0,"not_compared":{"not_run_on_shared_input":{"n":35,"by_error":{"RuntimeError":35}},"no_array_argument_ran_on_own_fixture_arguments_only":{"n":0,"n_papers":0,"recorded_shared_digest_equals_own_fixture_digest":0},"output_not_digested_non_numeric":{"n":0,"by_type":{}}},"withdrawn_excluded":0,"code_page":"/code/window-partition","buckets":[{"bucket":[[5,"float","float32"]],"n_implementations_compared":8,"n_papers":11,"n_not_digested":0,"not_digested_by_type":{},"clusters":[{"output_sha":"093c585939ccd356","size":7,"n_papers":10,"shape":[2,1,2,3,4,4],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":0.0,"members_with_recorded_values":7,"torch_reference_conventions_with_this_digest":[],"values":[-1.1107560396194458,-1.153886079788208,0.8985224962234497,1.6579723358154297,-0.8834818005561829,-0.7872069478034973,0.2903594672679901,-1.0316343307495117,1.6145302057266235,-1.2984472513198853,-0.14161428809165955,-0.2921791672706604,-1.1580840349197388,1.2174726724624634,-1.5930107831954956,0.044205859303474426,-0.7862235307693481,-2.3161141872406006,0.1333187073469162,0.34575366973876953,0.14232149720191956,-0.4954170882701874,0.15009130537509918,-0.8429698944091797,-1.4114540815353394,-1.475331425666809,0.9628362059593201,0.17942270636558533,0.38093143701553345,-1.8141356706619263,-0.6426793336868286,1.2347735166549683,1.08425772190094,-0.500424861907959,-0.36485445499420166,0.4214843213558197,-1.8440903425216675,-0.2089516520500183,-0.3962119221687317,-0.38931897282600403,-0.487968385219574,-0.7648671269416809,-0.2785039246082306,-1.2450716495513916,0.004794058855623007,-0.4212897717952728,0.15418283641338348,-0.25530773401260376,-1.1730422973632812,1.6099485158920288,-0.9597907662391663,0.017496809363365173,-0.3033652901649475,-1.1028218269348145,-0.34540775418281555,0.5321722030639648,0.6805564165115356,1.4965091943740845,0.515856146812439,-0.32154542207717896,-1.738380789756775,-0.7067435383796692,-1.0300383567810059,-0.7658928036689758,0.028399042785167694,-0.06598131358623505,0.23887701332569122,-0.355526328086853,0.1038346067070961,-0.9538744688034058,0.11544095724821091,-0.3209018111228943,0.5484159588813782,-0.9221066236495972,0.3624333143234253,1.3358933925628662,-0.9863946437835693,-2.4891045093536377,1.2003166675567627,-1.2195813655853271,0.19805815815925598,-0.8479506373405457,-0.45970606803894043,-0.501682460308075,-0.9599392414093018,-0.21852001547813416,1.7353484630584717,0.2524699866771698,-0.5008582472801208,-0.0165925994515419,-0.1769121289253235,-0.14889924228191376,-0.10023845732212067,-0.34519606828689575,1.0964465141296387,-1.0466793775558472,0.03220515698194504,0.3003831207752228,0.07432570308446884,2.224367618560791,1.229662537574768,-0.3466217517852783,-0.14361454546451569,2.0826871395111084,0.08996745944023132,0.9118784666061401,0.48608702421188354,-0.9026029109954834,-0.45716461539268494,1.051621913909912,0.3387507200241089,1.6571323871612549,0.9957132935523987,-0.47547414898872375,-0.04156797006726265,-1.1869113445281982,1.1353662014007568,0.4497837722301483,-0.6356520056724548,0.6746817231178284,0.4537210464477539,0.7318887710571289,0.5330355167388916,0.024492330849170685,-1.2037216424942017,-0.1616237759590149,3.3869268894195557,0.27133822441101074,-0.39796876907348633,-0.6594845056533813,-2.014885902404785,-1.1461224555969238,-0.02053935080766678,0.5572047233581543,-0.195414736866951,0.2471310794353485,-0.588148295879364,-0.4178919494152069,1.3179566860198975,1.4699900150299072,0.19126677513122559,-1.2296181917190552,0.3617081344127655,0.5765359997749329,-2.0900726318359375,0.028272826224565506,-1.2040106058120728,-1.968330979347229,1.0642337799072266,0.8152093291282654,-0.5652943849563599,-0.5413988828659058,2.7164814472198486,-0.1322486847639084,-1.3709510564804077,1.3064075708389282,1.6674236059188843,-1.4645459651947021,0.9185423851013184,0.40030455589294434,-0.4584314525127411,0.6714489459991455,2.36010479927063,-1.6869542598724365,-1.0774542093276978,-1.897004246711731,0.8571401834487915,0.011369176208972931,0.026012180373072624,-0.6087607145309448,-1.0646568536758423,0.8799611926078796,0.15681609511375427,-0.3745802938938141,-0.8109546899795532,0.42707058787345886,1.6056129932403564,1.5907549858093262,-0.10445431619882584,0.7624952793121338,-1.157633662223816,0.35014471411705017,-0.5806121230125427,0.0405825637280941,0.3018113970756531,-0.927975594997406,-0.29502859711647034,0.3482152819633484,0.024112114682793617,1.0587294101715088,-1.2479674816131592,0.6441925168037415],"values_recorded":192,"members":[{"code_sha256_prefix":"c33b3de22ecbd051","path":"opengait/modeling/models/swingait.py","papers":["2509.16170","2303.03301","2404.13640"],"paper_pages":[{"arxiv_id":"2509.16170","page":"/paper/arxiv-2509-16170"},{"arxiv_id":"2303.03301","page":"/paper/exploring-deep-models-for-practical-gait"},{"arxiv_id":"2404.13640","page":"/paper/beyond-alignment-blind-video-face-restoration"}],"arg_sig_recorded":[["x",5,"float","float32"]],"scalar_args":{"window_size":"(2, 3, 4)"},"class_bearing":false},{"code_sha256_prefix":"4876d8faacbd6927","path":"inference_core_yv.py","papers":["2208.01924","2403.12042"],"paper_pages":[{"arxiv_id":"2208.01924","page":"/paper/per-clip-video-object-segmentation-1"},{"arxiv_id":"2403.12042","page":"/paper/exploring-pre-trained-text-to-video-diffusion"}],"arg_sig_recorded":[["x",5,"float","float32"]],"scalar_args":{"window_size":"(2, 3, 4)"},"class_bearing":false},{"code_sha256_prefix":"09d5a8b64f9cd9c0","path":"backbones/archesweather.py","papers":["2405.14527"],"paper_pages":[{"arxiv_id":"2405.14527","page":"/paper/archesweather-an-efficient-ai-weather"}],"arg_sig_recorded":[["x",5,"float","float32"]],"scalar_args":{"window_size":"(2, 3, 4)"},"class_bearing":false},{"code_sha256_prefix":"0b61daa7a9e9cba6","path":"models/backbones/KSVQE_model.py","papers":["2402.07220"],"paper_pages":[{"arxiv_id":"2402.07220","page":"/paper/kvq-kaleidoscope-video-quality-assessment-for"}],"arg_sig_recorded":[["x",5,"float","float32"]],"scalar_args":{"window_size":"(2, 3, 4)"},"class_bearing":false},{"code_sha256_prefix":"54da2d24c1765483","path":"models/network_rvrt.py","papers":["2206.02146"],"paper_pages":[{"arxiv_id":"2206.02146","page":"/paper/recurrent-video-restoration-transformer-with"}],"arg_sig_recorded":[["x",5,"float","float32"]],"scalar_args":{"window_size":"(2, 3, 4)"},"class_bearing":false},{"code_sha256_prefix":"b02810537588055a","path":"team_code/transfuser.py","papers":["2306.07957"],"paper_pages":[{"arxiv_id":"2306.07957","page":"/paper/hidden-biases-of-end-to-end-driving-models"}],"arg_sig_recorded":[["x",5,"float","float32"]],"scalar_args":{"window_size":"(2, 3, 4)"},"class_bearing":false},{"code_sha256_prefix":"e63d183e6f4e08a6","path":"model.py","papers":["2602.05204"],"paper_pages":[{"arxiv_id":"2602.05204","page":"/paper/arxiv-2602-05204"}],"arg_sig_recorded":[["x",5,"float","float32"]],"scalar_args":{"window_size":"(2, 3, 4)"},"class_bearing":false}]},{"output_sha":"e360a87cba4847d7","size":1,"n_papers":1,"shape":[2,2,2,6,8],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":null,"members_with_recorded_values":1,"torch_reference_conventions_with_this_digest":[],"values":[-1.1107560396194458,-1.153886079788208,-0.8834818005561829,-0.7872069478034973,-0.7862235307693481,-2.3161141872406006,0.14232149720191956,-0.4954170882701874,0.8985224962234497,1.6579723358154297,0.2903594672679901,-1.0316343307495117,0.1333187073469162,0.34575366973876953,0.15009130537509918,-0.8429698944091797,1.6579723358154297,1.6579723358154297,-1.0316343307495117,-1.0316343307495117,0.34575366973876953,0.34575366973876953,-0.8429698944091797,-0.8429698944091797,1.6145302057266235,-1.2984472513198853,-1.1580840349197388,1.2174726724624634,-1.4114540815353394,-1.475331425666809,0.38093143701553345,-1.8141356706619263,-0.14161428809165955,-0.2921791672706604,-1.5930107831954956,0.044205859303474426,0.9628362059593201,0.17942270636558533,-0.6426793336868286,1.2347735166549683,-0.2921791672706604,-0.2921791672706604,0.044205859303474426,0.044205859303474426,0.17942270636558533,0.17942270636558533,1.2347735166549683,1.2347735166549683,1.08425772190094,-0.500424861907959,-1.8440903425216675,-0.2089516520500183,1.08425772190094,-0.500424861907959,-1.8440903425216675,-0.2089516520500183,-0.36485445499420166,0.4214843213558197,-0.3962119221687317,-0.38931897282600403,-0.36485445499420166,0.4214843213558197,-0.3962119221687317,-0.38931897282600403,0.4214843213558197,0.4214843213558197,-0.38931897282600403,-0.38931897282600403,0.4214843213558197,0.4214843213558197,-0.38931897282600403,-0.38931897282600403,-0.487968385219574,-0.7648671269416809,0.004794058855623007,-0.4212897717952728,-0.487968385219574,-0.7648671269416809,0.004794058855623007,-0.4212897717952728,-0.2785039246082306,-1.2450716495513916,0.15418283641338348,-0.25530773401260376,-0.2785039246082306,-1.2450716495513916,0.15418283641338348,-0.25530773401260376,-1.2450716495513916,-1.2450716495513916,-0.25530773401260376,-0.25530773401260376,-1.2450716495513916,-1.2450716495513916,-0.25530773401260376,-0.25530773401260376,-1.1730422973632812,1.6099485158920288,-0.3033652901649475,-1.1028218269348145,0.028399042785167694,-0.06598131358623505,0.1038346067070961,-0.9538744688034058,-0.9597907662391663,0.017496809363365173,-0.34540775418281555,0.5321722030639648,0.23887701332569122,-0.355526328086853,0.11544095724821091,-0.3209018111228943,0.017496809363365173,0.017496809363365173,0.5321722030639648,0.5321722030639648,-0.355526328086853,-0.355526328086853,-0.3209018111228943,-0.3209018111228943,0.6805564165115356,1.4965091943740845,-1.738380789756775,-0.7067435383796692,0.5484159588813782,-0.9221066236495972,-0.9863946437835693,-2.4891045093536377,0.515856146812439,-0.32154542207717896,-1.0300383567810059,-0.7658928036689758,0.3624333143234253,1.3358933925628662,1.2003166675567627,-1.2195813655853271,-0.32154542207717896,-0.32154542207717896,-0.7658928036689758,-0.7658928036689758,1.3358933925628662,1.3358933925628662,-1.2195813655853271,-1.2195813655853271,0.19805815815925598,-0.8479506373405457,-0.9599392414093018,-0.21852001547813416,0.19805815815925598,-0.8479506373405457,-0.9599392414093018,-0.21852001547813416,-0.45970606803894043,-0.501682460308075,1.7353484630584717,0.2524699866771698,-0.45970606803894043,-0.501682460308075,1.7353484630584717,0.2524699866771698,-0.501682460308075,-0.501682460308075,0.2524699866771698,0.2524699866771698,-0.501682460308075,-0.501682460308075,0.2524699866771698,0.2524699866771698,-0.5008582472801208,-0.0165925994515419,-0.10023845732212067,-0.34519606828689575,-0.5008582472801208,-0.0165925994515419,-0.10023845732212067,-0.34519606828689575,-0.1769121289253235,-0.14889924228191376,1.0964465141296387,-1.0466793775558472,-0.1769121289253235,-0.14889924228191376,1.0964465141296387,-1.0466793775558472,-0.14889924228191376,-0.14889924228191376,-1.0466793775558472,-1.0466793775558472,-0.14889924228191376,-0.14889924228191376,-1.0466793775558472,-1.0466793775558472,0.03220515698194504,0.3003831207752228,1.229662537574768,-0.3466217517852783,0.9957132935523987,-0.47547414898872375,1.1353662014007568,0.4497837722301483,0.07432570308446884,2.224367618560791,-0.14361454546451569,2.0826871395111084,-0.04156797006726265,-1.1869113445281982,-0.6356520056724548,0.6746817231178284,2.224367618560791,2.224367618560791,2.0826871395111084,2.0826871395111084,-1.1869113445281982,-1.1869113445281982,0.6746817231178284,0.6746817231178284,0.08996745944023132,0.9118784666061401,-0.45716461539268494,1.051621913909912,0.4537210464477539,0.7318887710571289,-1.2037216424942017,-0.1616237759590149,0.48608702421188354,-0.9026029109954834,0.3387507200241089,1.6571323871612549,0.5330355167388916,0.024492330849170685,3.3869268894195557,0.27133822441101074,-0.9026029109954834,-0.9026029109954834,1.6571323871612549,1.6571323871612549,0.024492330849170685,0.024492330849170685,0.27133822441101074,0.27133822441101074,-0.39796876907348633,-0.6594845056533813,-0.02053935080766678,0.5572047233581543,-0.39796876907348633,-0.6594845056533813,-0.02053935080766678,0.5572047233581543,-2.014885902404785,-1.1461224555969238,-0.195414736866951,0.2471310794353485,-2.014885902404785,-1.1461224555969238,-0.195414736866951,0.2471310794353485,-1.1461224555969238,-1.1461224555969238,0.2471310794353485,0.2471310794353485,-1.1461224555969238,-1.1461224555969238,0.2471310794353485,0.2471310794353485,-0.588148295879364,-0.4178919494152069,0.19126677513122559,-1.2296181917190552,-0.588148295879364,-0.4178919494152069,0.19126677513122559,-1.2296181917190552,1.3179566860198975,1.4699900150299072,0.3617081344127655,0.5765359997749329,1.3179566860198975,1.4699900150299072,0.3617081344127655,0.5765359997749329,1.4699900150299072,1.4699900150299072,0.5765359997749329,0.5765359997749329,1.4699900150299072,1.4699900150299072,0.5765359997749329,0.5765359997749329,-2.0900726318359375,0.028272826224565506,1.0642337799072266,0.8152093291282654,-0.4584314525127411,0.6714489459991455,-1.0774542093276978,-1.897004246711731,-1.2040106058120728,-1.968330979347229,-0.5652943849563599,-0.5413988828659058,2.36010479927063,-1.6869542598724365,0.8571401834487915,0.011369176208972931,-1.968330979347229,-1.968330979347229,-0.5413988828659058,-0.5413988828659058,-1.6869542598724365,-1.6869542598724365,0.011369176208972931,0.011369176208972931,2.7164814472198486,-0.1322486847639084,1.6674236059188843,-1.4645459651947021,0.026012180373072624,-0.6087607145309448,0.15681609511375427,-0.3745802938938141,-1.3709510564804077,1.3064075708389282,0.9185423851013184,0.40030455589294434,-1.0646568536758423,0.8799611926078796,-0.8109546899795532,0.42707058787345886,1.3064075708389282,1.3064075708389282,0.40030455589294434,0.40030455589294434,0.8799611926078796,0.8799611926078796,0.42707058787345886,0.42707058787345886,1.6056129932403564,1.5907549858093262,-1.157633662223816,0.35014471411705017,1.6056129932403564,1.5907549858093262,-1.157633662223816,0.35014471411705017,-0.10445431619882584,0.7624952793121338,-0.5806121230125427,0.0405825637280941,-0.10445431619882584,0.7624952793121338,-0.5806121230125427,0.0405825637280941,0.7624952793121338,0.7624952793121338,0.0405825637280941,0.0405825637280941,0.7624952793121338,0.7624952793121338,0.0405825637280941,0.0405825637280941,0.3018113970756531,-0.927975594997406,0.024112114682793617,1.0587294101715088,0.3018113970756531,-0.927975594997406,0.024112114682793617,1.0587294101715088,-0.29502859711647034,0.3482152819633484,-1.2479674816131592,0.6441925168037415,-0.29502859711647034,0.3482152819633484,-1.2479674816131592,0.6441925168037415,0.3482152819633484,0.3482152819633484,0.6441925168037415,0.6441925168037415,0.3482152819633484,0.3482152819633484,0.6441925168037415,0.6441925168037415],"values_recorded":384,"members":[{"code_sha256_prefix":"7d0ad89a26a54179","path":"model/ISTANet.py","papers":["2307.07469"],"paper_pages":[{"arxiv_id":"2307.07469","page":"/paper/interactive-spatiotemporal-token-attention"}],"arg_sig_recorded":[["x",5,"float","float32"]],"scalar_args":{"window_size":"(2, 2, 3)"},"class_bearing":false}]}]},{"bucket":[[4,"float","float32"]],"n_implementations_compared":3,"n_papers":4,"n_not_digested":0,"not_digested_by_type":{},"clusters":[{"output_sha":"477cda1d28ad8eef","size":2,"n_papers":3,"shape":[8,4,3],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":0.0,"members_with_recorded_values":2,"torch_reference_conventions_with_this_digest":[],"values":[0.7231047749519348,-0.45303258299827576,-0.4213716387748718,0.6530793309211731,0.12553228437900543,1.020633339881897,1.1372957229614258,-0.7250184416770935,-0.6618722677230835,-0.19992724061012268,1.1514394283294678,1.982889175415039,1.4460861682891846,0.5928415060043335,-0.4836711883544922,1.0985400676727295,-1.463806390762329,-0.4854681193828583,-0.2714869976043701,-0.3975509703159332,0.2125764787197113,0.8319791555404663,1.4335219860076904,-1.2040232419967651,0.3433533310890198,0.22366678714752197,-0.21204684674739838,-0.13238386809825897,1.184694528579712,-1.479430913925171,-0.709074079990387,0.3742450773715973,0.022702597081661224,-0.4362029433250427,0.00391392083838582,-0.16384494304656982,-1.1905570030212402,-2.0680742263793945,-0.7425822019577026,-0.012713957577943802,-0.16907231509685516,1.2173826694488525,-2.665717124938965,0.895301342010498,0.3325777053833008,0.812962532043457,-0.4980470836162567,-1.246457576751709,1.0319796800613403,0.8440517783164978,-2.2168080806732178,0.47569993138313293,-1.0907533168792725,-0.08749820291996002,1.654322624206543,0.4846275746822357,0.7167379260063171,-0.6244865655899048,0.022118685767054558,1.2303640842437744,2.1016592979431152,0.7723703980445862,0.16540314257144928,-0.01877530850470066,2.0942370891571045,-0.8387367129325867,-2.408447742462158,3.1044223308563232,-1.5213911533355713,-0.21435445547103882,0.0736190527677536,1.0778614282608032,-1.3870023488998413,0.6060231924057007,0.22837327420711517,-2.00654673576355,0.28421318531036377,0.4391850531101227,-2.796109437942505,1.0927388668060303,0.49750959873199463,-0.7385192513465881,0.267061322927475,0.14785639941692352,-1.3687102794647217,0.5158193111419678,1.9725817441940308,-0.026417039334774017,-0.6696537733078003,-1.1686570644378662,-0.6348524689674377,0.6621701121330261,-1.3677366971969604,0.21286723017692566,0.2371496558189392,-0.28564757108688354],"values_recorded":96,"members":[{"code_sha256_prefix":"88bf73966cf30ec8","path":"models/build_cls_models.py","papers":["2407.08083","2509.21265"],"paper_pages":[{"arxiv_id":"2407.08083","page":"/paper/mambavision-a-hybrid-mamba-transformer-vision"},{"arxiv_id":"2509.21265","page":"/paper/arxiv-2509-21265"}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{"window_size":"2"},"class_bearing":false},{"code_sha256_prefix":"7072909ab4fb3b25","path":"fastervit/models/faster_vit.py","papers":["2306.06189"],"paper_pages":[{"arxiv_id":"2306.06189","page":"/paper/fastervit-fast-vision-transformers-with"}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{"window_size":"2"},"class_bearing":false}]},{"output_sha":"d8dff36cd4ec80e1","size":1,"n_papers":1,"shape":[2,3,4,4],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":null,"members_with_recorded_values":1,"torch_reference_conventions_with_this_digest":[],"values":[0.7231047749519348,0.6530793309211731,1.4460861682891846,1.0985400676727295,1.1372957229614258,-0.19992724061012268,-0.2714869976043701,0.8319791555404663,0.3433533310890198,-0.13238386809825897,-1.1905570030212402,-0.012713957577943802,-0.709074079990387,-0.4362029433250427,-2.665717124938965,0.812962532043457,-0.45303258299827576,0.12553228437900543,0.5928415060043335,-1.463806390762329,-0.7250184416770935,1.1514394283294678,-0.3975509703159332,1.4335219860076904,0.22366678714752197,1.184694528579712,-2.0680742263793945,-0.16907231509685516,0.3742450773715973,0.00391392083838582,0.895301342010498,-0.4980470836162567,-0.4213716387748718,1.020633339881897,-0.4836711883544922,-0.4854681193828583,-0.6618722677230835,1.982889175415039,0.2125764787197113,-1.2040232419967651,-0.21204684674739838,-1.479430913925171,-0.7425822019577026,1.2173826694488525,0.022702597081661224,-0.16384494304656982,0.3325777053833008,-1.246457576751709,1.0319796800613403,0.47569993138313293,2.1016592979431152,-0.01877530850470066,1.654322624206543,-0.6244865655899048,-2.408447742462158,-0.21435445547103882,-1.3870023488998413,-2.00654673576355,-1.3687102794647217,-0.026417039334774017,-2.796109437942505,-0.7385192513465881,-0.6348524689674377,0.21286723017692566,0.8440517783164978,-1.0907533168792725,0.7723703980445862,2.0942370891571045,0.4846275746822357,0.022118685767054558,3.1044223308563232,0.0736190527677536,0.6060231924057007,0.28421318531036377,0.5158193111419678,-0.6696537733078003,1.0927388668060303,0.267061322927475,0.6621701121330261,0.2371496558189392,-2.2168080806732178,-0.08749820291996002,0.16540314257144928,-0.8387367129325867,0.7167379260063171,1.2303640842437744,-1.5213911533355713,1.0778614282608032,0.22837327420711517,0.4391850531101227,1.9725817441940308,-1.1686570644378662,0.49750959873199463,0.14785639941692352,-1.3677366971969604,-0.28564757108688354],"values_recorded":96,"members":[{"code_sha256_prefix":"7a3f740ecc375589","path":"detection/iformer.py","papers":["2501.15369"],"paper_pages":[{"arxiv_id":"2501.15369","page":"/paper/iformer-integrating-convnet-and-transformer"}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{"window_size":"4"},"class_bearing":false}]}]},{"bucket":[[3,"float","float32"]],"n_implementations_compared":2,"n_papers":2,"n_not_digested":0,"not_digested_by_type":{},"clusters":[{"output_sha":"541f19caa2317840","size":2,"n_papers":2,"shape":[4,2,8],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":0.0,"members_with_recorded_values":2,"torch_reference_conventions_with_this_digest":[],"values":[-0.8931272625923157,1.682853102684021,-1.2588046789169312,-0.2582058608531952,0.15099599957466125,-1.434759497642517,-0.34014570713043213,-0.3811257779598236,-2.139214038848877,0.011872420087456703,-0.848949134349823,-0.7722031474113464,0.8366092443466187,-0.16943085193634033,0.15168990194797516,0.40691596269607544,1.8797812461853027,-0.7452988624572754,-0.08752579241991043,0.7744670510292053,-0.5704304575920105,1.1243221759796143,-0.40352779626846313,0.9569169282913208,0.95430988073349,0.9237498044967651,-0.7546214461326599,-0.30625444650650024,-1.0338436365127563,1.2410037517547607,-0.9114314913749695,1.836632490158081,-0.9571838974952698,1.8682522773742676,-1.1814329624176025,-0.8039284944534302,0.9990944862365723,0.6304919123649597,0.044029541313648224,1.7415422201156616,-1.1923047304153442,-0.8975064754486084,-1.0145355463027954,-0.6859840750694275,0.9828868508338928,-0.14383146166801453,0.38964250683784485,0.9042900204658508,-0.33936411142349243,-0.0975174680352211,0.7487973570823669,-0.9978419542312622,0.5280088782310486,0.18848304450511932,-0.7085897922515869,-0.9634317755699158,-1.271640658378601,1.155332088470459,1.6535718441009521,-0.581495463848114,1.8763816356658936,1.2408666610717773,-1.2724858522415161,-0.8599306344985962],"values_recorded":64,"members":[{"code_sha256_prefix":"52f748d438cf5da5","path":"src/models/model.py","papers":["2303.08345"],"paper_pages":[{"arxiv_id":"2303.08345","page":"/paper/scanning-only-once-an-end-to-end-framework"}],"arg_sig_recorded":[["x",3,"float","float32"]],"scalar_args":{"window_size":"2"},"class_bearing":false},{"code_sha256_prefix":"af68fb83b335d817","path":"models/ms_sit.py","papers":["2205.15836"],"paper_pages":[{"arxiv_id":"2205.15836","page":"/paper/surface-analysis-with-vision-transformers"}],"arg_sig_recorded":[["x",3,"float","float32"]],"scalar_args":{"window_size":"4"},"class_bearing":false}]}]}]}