Home › Census › window_partition
window_partition
window_partition: 13 implementations from 17 papers ran on one shared input (census 2026-09-22, battery b986f7e04d79); they produced 5 distinct outputs across 3 buckets, one shared input per bucket.
Identical values to six decimals (the recorded digest) on the shared input are agreement on those inputs, not equivalence. Implementations are compared only within one bucket, the 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; each bucket's shared input is fixed by that key, so members of one bucket saw bitwise-identical inputs under their own scalar arguments. A cluster is the set of members whose recorded output digest is identical. Nothing here says which computation a paper's method intended, and nothing reproduces a paper's results.
Not compared, and not in the tables or the counts above:
- 35 more implementations of this name were examined but did not run on the shared input (RuntimeError 35).
- No implementation of this name ran on its own fixture arguments only: every one that ran took an array argument.
- Every compared output was digested.
Bucket 1 of 3: arg 1: rank 5, kind float, dtype float32
8 implementations from 11 papers share this bucket (rank, kind, dtype of each array argument, positional; each member's recorded signature, argument name included, is shown under it); 2 distinct outputs, largest cluster first. Values are the first 8 of the recorded output, flattened.
| Cluster (same digest to six decimals) | Members | Shared output on this bucket's input |
|---|---|---|
| 7 implementations 10 papers 093c585939cc recorded values identical |
opengait/modeling/models/swingait.py c33b3de2 recorded x:5/float/float32; window_size=(2, 3, 4) one code sha held from 2 papers' repositories inference_core_yv.py 4876d8fa recorded x:5/float/float32; window_size=(2, 3, 4) backbones/archesweather.py 09d5a8b6 recorded x:5/float/float32; window_size=(2, 3, 4) models/backbones/KSVQE_model.py 0b61daa7 recorded x:5/float/float32; window_size=(2, 3, 4) models/network_rvrt.py 54da2d24 recorded x:5/float/float32; window_size=(2, 3, 4) team_code/transfuser.py b0281053 recorded x:5/float/float32; window_size=(2, 3, 4)
model.py e63d183e recorded x:5/float/float32; window_size=(2, 3, 4) |
[-1.11076, -1.15389, 0.898522, 1.65797, -0.883482, -0.787207, 0.290359, -1.03163, …] shape [2, 1, 2, 3, 4, 4] · float32 · Tensor |
| 1 implementation 1 paper e360a87cba48 |
model/ISTANet.py 7d0ad89a recorded x:5/float/float32; window_size=(2, 2, 3) |
[-1.11076, -1.15389, -0.883482, -0.787207, -0.786224, -2.31611, 0.142321, -0.495417, …] shape [2, 2, 2, 6, 8] · float32 · Tensor |
Bucket 2 of 3: arg 1: rank 4, kind float, dtype float32
3 implementations from 4 papers share this bucket (rank, kind, dtype of each array argument, positional; each member's recorded signature, argument name included, is shown under it); 2 distinct outputs, largest cluster first. Values are the first 8 of the recorded output, flattened.
| Cluster (same digest to six decimals) | Members | Shared output on this bucket's input |
|---|---|---|
| 2 implementations 3 papers 477cda1d28ad recorded values identical |
models/build_cls_models.py 88bf7396 recorded x:4/float/float32; window_size=2 fastervit/models/faster_vit.py 7072909a recorded x:4/float/float32; window_size=2 |
[0.723105, -0.453033, -0.421372, 0.653079, 0.125532, 1.02063, 1.1373, -0.725018, …] shape [8, 4, 3] · float32 · Tensor |
| 1 implementation 1 paper d8dff36cd4ec |
detection/iformer.py 7a3f740e recorded x:4/float/float32; window_size=4 |
[0.723105, 0.653079, 1.44609, 1.09854, 1.1373, -0.199927, -0.271487, 0.831979, …] shape [2, 3, 4, 4] · float32 · Tensor |
Bucket 3 of 3: arg 1: rank 3, kind float, dtype float32
2 implementations from 2 papers share this bucket (rank, kind, dtype of each array argument, positional; each member's recorded signature, argument name included, is shown under it); 1 distinct output, largest cluster first. Values are the first 8 of the recorded output, flattened.
| Cluster (same digest to six decimals) | Members | Shared output on this bucket's input |
|---|---|---|
| 2 implementations 2 papers 541f19caa231 recorded values identical |
src/models/model.py 52f748d4 recorded x:3/float/float32; window_size=2 models/ms_sit.py af68fb83 recorded x:3/float/float32; window_size=4 |
[-0.893127, 1.68285, -1.2588, -0.258206, 0.150996, -1.43476, -0.340146, -0.381126, …] shape [4, 2, 8] · float32 · Tensor |
Identical values to six decimals (the recorded digest) on the shared input are agreement on those inputs, not equivalence; where a cluster's members carry recorded values, the largest difference among them is shown under the cluster. Paper titles are the archive's archive 2025-07-28 where the paper is in the archive and the graph's where it was added by Syntology; papers with no page here are shown by their recorded paper id only. A paper count above the implementation count means one implementation (one code sha) is held from several papers' repositories and counts once. Per-sample status, licence and fingerprint records for each paper are on its paper page. JSON twin: /census/window-partition.json.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections