{"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/patchembed","entry":"PatchEmbed","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":9,"n_papers":9,"n_buckets":1,"n_distinct_outputs":6,"n_class_bearing":9,"not_compared":{"not_run_on_shared_input":{"n":15,"by_error":{"AssertionError":10,"RuntimeError":5}},"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/patchembed","buckets":[{"bucket":[[4,"float","float32"]],"n_implementations_compared":9,"n_papers":9,"n_not_digested":0,"not_digested_by_type":{},"clusters":[{"output_sha":"4b26d71478ef28f7","size":4,"n_papers":4,"shape":[2,1,64],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":0.0,"members_with_recorded_values":4,"torch_reference_conventions_with_this_digest":[],"values":[0.34817519783973694,1.0102379322052002,0.7374897003173828,-0.7961481213569641,-0.6225218176841736,0.8081066608428955,0.008564035408198833,0.6854107975959778,0.12653037905693054,0.21820898354053497,-0.48321762681007385,0.47308987379074097,0.2857232391834259,0.7839958071708679,0.03444463387131691,0.4884853661060333,0.2545824646949768,-0.13248184323310852,-0.16296210885047913,0.6568861603736877,-0.677392303943634,0.2979011535644531,0.30455467104911804,0.5716675519943237,-0.9041551351547241,0.7856988906860352,0.10567881166934967,-0.04308114945888519,-0.71418696641922,-0.329357773065567,-1.3932385444641113,0.4327409863471985,0.6860100626945496,-0.9394288063049316,-0.10990128666162491,-0.5810654759407043,-0.10633931308984756,0.7451185584068298,-0.05622856691479683,-0.14603553712368011,-0.024501686915755272,-0.255695104598999,-0.8786823153495789,-0.46267640590667725,-0.749674916267395,-0.4382372796535492,1.1602009534835815,-0.8666455745697021,0.13735538721084595,-0.2944469451904297,-0.5619233846664429,-1.1549619436264038,0.7592610120773315,0.10797247290611267,-0.320759654045105,0.09349261224269867,0.10703090578317642,-0.5293931365013123,-0.2611503601074219,0.6525681614875793,0.1256144791841507,-0.3318547010421753,-0.0517466701567173,-0.09410650283098221,0.349412739276886,0.8116775751113892,-0.46006831526756287,-0.7534942626953125,0.8400149345397949,-0.28060805797576904,0.2599301338195801,-0.0710822120308876,1.2182295322418213,1.045259952545166,-0.3564566671848297,1.0210872888565063,0.5668516755104065,-0.703730583190918,-0.2866095006465912,-0.5139119029045105,-0.8343598246574402,0.048988912254571915,0.476922869682312,0.79939204454422,-0.8189583420753479,0.8604241609573364,0.19539260864257812,0.2212187945842743,0.572171151638031,1.2354099750518799,1.538049578666687,1.070597767829895,-0.2203914076089859,1.140904188156128,-0.5737797021865845,1.2176194190979004,0.5570449829101562,-0.06860841065645218,0.16595152020454407,-0.417271226644516,-0.04465337470173836,1.22626793384552,-0.39079561829566956,-0.07018966227769852,-1.0322927236557007,-1.3739656209945679,-0.024799538776278496,-0.8323052525520325,-0.16231797635555267,-0.2692989706993103,-0.1195085272192955,0.6895171999931335,0.24877306818962097,0.24044620990753174,0.06545307487249374,-0.5251045227050781,0.8250993490219116,0.4378727376461029,-0.8473738431930542,-0.1726221740245819,-0.11357717216014862,0.30309081077575684,0.6195260286331177,0.9512645602226257,1.1909441947937012,0.3904251158237457,-0.08402995765209198,0.8842493295669556],"values_recorded":128,"members":[{"code_sha256_prefix":"9f2cdbcb2103e1b1","path":"src/models/controlnet.py","papers":["2602.04680"],"paper_pages":[{"arxiv_id":"2602.04680","page":"/paper/arxiv-2602-04680"}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{},"class_bearing":true},{"code_sha256_prefix":"ec9ee9d94615bfe4","path":"models/early_exit.py","papers":["2410.09633"],"paper_pages":[{"arxiv_id":"2410.09633","page":"/paper/duodiff-accelerating-diffusion-models-with-a"}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{},"class_bearing":true},{"code_sha256_prefix":"f2e2fb9b20af67da","path":"code/sam_lora_image_encoder.py","papers":["2503.16997"],"paper_pages":[{"arxiv_id":"2503.16997","page":"/paper/steady-progress-beats-stagnation-mutual-aid"}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{},"class_bearing":true},{"code_sha256_prefix":"f6ebdaee467a4c18","path":"MAS-SAM/sam_lora_image_encoder.py","papers":["2404.15700"],"paper_pages":[{"arxiv_id":"2404.15700","page":"/paper/mas-sam-segment-any-marine-animal-with"}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{},"class_bearing":true}]},{"output_sha":"1c7b7fb077fb355f","size":1,"n_papers":1,"shape":[2,4,4],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":null,"members_with_recorded_values":1,"torch_reference_conventions_with_this_digest":[],"values":[0.10557559132575989,0.1631563901901245,0.5042747259140015,0.22556178271770477,0.10296069830656052,-1.3061460256576538,0.696312427520752,0.22523711621761322,0.07720627635717392,-0.25670263171195984,0.2037031203508377,0.12999281287193298,0.5846835374832153,0.19329902529716492,-0.2645424008369446,0.24973300099372864,-0.5752027034759521,-0.8099462985992432,0.5773277282714844,1.3630077838897705,0.5608880519866943,-0.3285258114337921,-1.0143269300460815,-0.5828477740287781,0.37087544798851013,1.0831259489059448,-0.7738910913467407,-0.48953941464424133,-0.08651387691497803,0.17963968217372894,0.10366891324520111,-0.0005614320980384946],"values_recorded":32,"members":[{"code_sha256_prefix":"029dccee9f606fea","path":"github_adventures/vision_transformer/custom.py","papers":["2010.11929"],"paper_pages":[{"arxiv_id":"2010.11929","page":"/paper/an-image-is-worth-16x16-words-transformers-1"}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{},"class_bearing":true}]},{"output_sha":"25b9213ce9834127","size":1,"n_papers":1,"shape":[2,8,2,2],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":null,"members_with_recorded_values":1,"torch_reference_conventions_with_this_digest":[],"values":[1.375706672668457,0.31223437190055847,1.2543755769729614,1.7221120595932007,0.8869323134422302,-2.24159836769104,-0.06752703338861465,0.37644118070602417,0.4124893844127655,0.1716843545436859,-0.1175306886434555,-1.7542721033096313,-0.6827248930931091,-0.6441558599472046,-0.40673908591270447,-0.6851956248283386,-1.5157225131988525,-0.007482554763555527,1.5179452896118164,-0.2536424398422241,1.0788650512695312,0.8711921572685242,0.06576097756624222,0.8700935244560242,-0.8564184904098511,1.2646359205245972,-1.9630424976348877,0.35512495040893555,-0.6991276741027832,0.27348974347114563,-0.2832425534725189,-0.63066166639328,-0.47554126381874084,1.0258822441101074,0.9216992855072021,0.06556488573551178,-1.1610606908798218,-0.03641057759523392,1.4873665571212769,0.15273123979568481,0.26417413353919983,-1.1724388599395752,-1.1007894277572632,-0.5957391262054443,1.431074619293213,-0.7944724559783936,-0.8340082764625549,-0.7942391037940979,-0.033160384744405746,0.7943459749221802,-0.03282654285430908,1.4237565994262695,-0.7589976191520691,1.1561282873153687,0.592860221862793,0.666980504989624,1.6823619604110718,-1.6044050455093384,-1.552369236946106,-1.8899527788162231,-0.9488511681556702,0.6313704252243042,0.5180676579475403,0.9708978533744812],"values_recorded":64,"members":[{"code_sha256_prefix":"327417879fa4f7c7","path":"holitracer/vector/models/base.py","papers":["2507.16251"],"paper_pages":[{"arxiv_id":"2507.16251","page":"/paper/holitracer-holistic-vectorization-of"}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{},"class_bearing":true}]},{"output_sha":"e028154e7ffbc8d0","size":1,"n_papers":1,"shape":[2,4,4],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":null,"members_with_recorded_values":1,"torch_reference_conventions_with_this_digest":[],"values":[-0.9413269758224487,-0.5650955438613892,1.6637626886367798,-0.1573403775691986,0.23206837475299835,-1.6541274785995483,1.0263144969940186,0.3957446217536926,0.21924802660942078,-1.6745884418487549,0.9367021918296814,0.5186382532119751,1.302160382270813,0.008283650502562523,-1.5052928924560547,0.19484855234622955,-0.8109244108200073,-1.0775344371795654,0.49806150794029236,1.3903974294662476,1.5671031475067139,0.02202289178967476,-1.1693435907363892,-0.41978251934051514,0.4418911635875702,1.415608286857605,-1.1231181621551514,-0.7343812584877014,-1.34046471118927,1.2911179065704346,0.5399600267410278,-0.4906134009361267],"values_recorded":32,"members":[{"code_sha256_prefix":"d21dc0c3ff2326b2","path":"models/two_dim_sequencer.py","papers":["2205.01972"],"paper_pages":[{"arxiv_id":"2205.01972","page":"/paper/sequencer-deep-lstm-for-image-classification"}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{},"class_bearing":true}]},{"output_sha":"e21f16b77362ee03","size":1,"n_papers":1,"shape":[2,96,1,1],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":null,"members_with_recorded_values":1,"torch_reference_conventions_with_this_digest":[],"values":[0.999972939491272,-0.9987311363220215,0.9993577599525452,-0.999777615070343,0.997153103351593,0.9996544718742371,-0.998169481754303,-0.9998341202735901,-0.9999388456344604,0.9993586540222168,-0.9995123744010925,-0.9992673993110657,0.9986549019813538,0.9999014139175415,-0.999962329864502,0.9998385906219482,-0.9990870356559753,-0.9999117255210876,0.7688363194465637,-0.9981374740600586,-0.9995893836021423,0.9994766116142273,-0.9934179782867432,0.9999716877937317,0.99708092212677,0.9871398210525513,0.9999122619628906,-0.9997799396514893,-0.9976425766944885,0.9990123510360718,-0.9886190891265869,-0.9999119639396667,-0.9994078874588013,0.9954304695129395,-0.9995455741882324,-0.9994745850563049,0.8341256380081177,0.9993930459022522,-0.9995275139808655,-0.9922651052474976,-0.9999198317527771,0.999873161315918,0.9999551773071289,-0.48167702555656433,0.999936580657959,-0.9996154308319092,-0.9997784495353699,-0.9986448287963867,0.07513726502656937,-0.9988688826560974,-0.9997750520706177,-0.9994429349899292,0.9997968077659607,-0.9999086856842041,0.9996086359024048,0.9999121427536011,0.9995903372764587,-0.999890923500061,0.9977367520332336,-0.9918655753135681,0.37443557381629944,0.99960857629776,-0.9987082481384277,-0.9421700239181519,0.9990012645721436,-0.9991806745529175,0.9995142817497253,0.9998868107795715,-0.9995793700218201,0.9995724558830261,0.9995867013931274,-0.9998735785484314,-0.9989099502563477,0.9998428225517273,0.9993487000465393,-0.998866617679596,-0.9996899366378784,-0.9978067278862,-0.9999300837516785,0.999747097492218,0.9914419054985046,0.999861478805542,0.9977582097053528,0.8250393867492676,0.9998736381530762,0.9999290704727173,0.9957004189491272,-0.5623774528503418,0.9996635913848877,-0.9978635311126709,-0.9135662317276001,0.9999653100967407,0.9998500943183899,-0.9977521300315857,0.9998351335525513,-0.999303936958313,-0.9999728202819824,0.9987311363220215,-0.9993578195571899,0.9997774958610535,-0.9971531629562378,-0.9996545910835266,0.9981694221496582,0.9998342394828796,0.99993896484375,-0.9993586540222168,0.9995123147964478,0.9992673993110657,-0.9986549615859985,-0.9999013543128967,0.999962329864502,-0.9998385906219482,0.9990869760513306,0.9999117255210876,-0.7688398957252502,0.9981375336647034,0.9995893836021423,-0.9994766712188721,0.9934177994728088,-0.9999716877937317,-0.9970808625221252,-0.9871401786804199,-0.9999123215675354,0.9997798204421997,0.9976423978805542,-0.9990123510360718,0.9886195063591003,0.9999119639396667,0.9994081258773804,-0.995430588722229,0.9995458126068115,0.9994745850563049,-0.8341277241706848,-0.9993930459022522,0.9995274543762207,0.9922643899917603,0.9999199509620667,-0.9998731017112732,-0.9999551773071289,0.4816768169403076,-0.999936580657959,0.9996154308319092,0.9997785687446594,0.9986448287963867,-0.07513636350631714,0.9988688230514526,0.9997750520706177,0.9994428157806396,-0.9997968077659607,0.9999089241027832,-0.99960857629776,-0.9999123811721802,-0.9995903372764587,0.999890923500061,-0.997735857963562,0.9918657541275024,-0.3744363486766815,-0.9996085166931152,0.9987078309059143,0.9421687722206116,-0.9990012049674988,0.9991804957389832,-0.9995142817497253,-0.9998868107795715,0.9995795488357544,-0.9995725154876709,-0.9995869398117065,0.9998735785484314,0.9989097714424133,-0.9998427629470825,-0.9993485808372498,0.9988661408424377,0.9996899366378784,0.9978064894676208,0.9999301433563232,-0.9997470378875732,-0.9914416670799255,-0.9998618364334106,-0.9977582097053528,-0.8250406980514526,-0.9998737573623657,-0.9999290704727173,-0.9956997632980347,0.5623773336410522,-0.9996636509895325,0.9978638291358948,0.913565993309021,-0.9999653100967407,-0.9998500347137451,0.9977511167526245,-0.9998351335525513,0.999303936958313],"values_recorded":192,"members":[{"code_sha256_prefix":"2fa20567486ec78e","path":"classfication_release/model.py","papers":["2507.00698"],"paper_pages":[{"arxiv_id":"2507.00698","page":null}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{},"class_bearing":true}]},{"output_sha":"e697da6b24b6b526","size":1,"n_papers":1,"shape":[2,16,1,1],"dtype":"float32","type":"Tensor","finite":true,"max_difference_among_recorded_values":null,"members_with_recorded_values":1,"torch_reference_conventions_with_this_digest":[],"values":[0.0,0.999903678894043,0.0,0.9850243926048279,0.0,0.9999549984931946,0.9994686245918274,0.9991030097007751,0.0,0.9998772144317627,0.0,0.9994930028915405,0.0,0.9999700784683228,0.9994491338729858,0.0,0.996626615524292,0.0,0.9997861385345459,0.0,0.9967929720878601,0.0,0.0,0.0,0.9995449185371399,0.0,0.9982603192329407,0.0,0.9977784752845764,0.0,0.0,0.9989358186721802],"values_recorded":32,"members":[{"code_sha256_prefix":"8aeb7bbb05b7dbbe","path":"radio/eradio_model.py","papers":["2502.16025"],"paper_pages":[{"arxiv_id":"2502.16025","page":"/paper/featsharp-your-vision-model-features-sharper"}],"arg_sig_recorded":[["x",4,"float","float32"]],"scalar_args":{},"class_bearing":true}]}]}]}