l2_normalize
l2_normalize: 15 implementations from 13 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:
- Every examined implementation of this name that took an array argument ran on the shared input.
- 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.
- The harness also ran torch's own computation of this name under 3 named conventions; those rows are not implementations, are not counted, and only label a cluster whose digest they share.
Bucket 1 of 3: arg 1: rank 2, kind float, dtype float32
13 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); 3 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 |
|---|---|---|
| 8 implementations 7 papers 2803cfee2d9a recorded values differ by up to 5.96e-08 same digest as torch: last_dim |
library-records-dataset/data-analysis/analysis3/gnd_embed_and_polysemy.py 1ff76032 recorded x:2/float/float32; axis=-1, eps=1e-12 main_text.py 2cf4de80 recorded x:2/float/float32 objective.py 6325cd34 recorded x:2/float/float32; dim=1, eps=1e-12 objective.py a08ad4db recorded x:2/float/float32 main_image.py bc6f5549 recorded x:2/float/float32
core/models/semantic_kitti/geoclass.py d5090a7e recorded x:2/float/float32 train_TENT.py f06b0faa recorded x:2/float/float32
src/cosmapdr/cosmapdr.py f1934dc5 recorded X:2/float/float32; eps=1e-12 |
[0.60254, -0.512675, 0.159124, -0.230934, -0.301783, -0.344442, -0.221532, 0.191492, …] shape [4, 8] · float32 · ndarray |
| 4 implementations 3 papers 4171f3b5f627 recorded values identical |
low_rank_linear.py 00696863 recorded v:2/float/float32; eps=1e-12 skew_ortho_conv.py 5f294d9f recorded tensor:2/float/float32; eps=1e-12 sn_gan/sn_modules.py bf5a05c7 recorded x:2/float/float32; eps=1e-12 skew_ortho_conv.py d00da207 recorded tensor:2/float/float32; eps=1e-12 |
[0.316604, -0.269384, 0.0836115, -0.121344, -0.158572, -0.180987, -0.116404, 0.100619, …] shape [4, 8] · float32 · Tensor |
| 1 implementation 1 paper 58eaef3f9b5e |
src/MoA.py 4760e363 recorded x:2/float/float32; axis=1, eps=1e-06 |
[0.60254, -0.512675, 0.159124, -0.230933, -0.301783, -0.344442, -0.221532, 0.191492, …] shape [4, 8] · float32 · Tensor |
Bucket 2 of 3: arg 1: rank 2, kind float, dtype float64
1 implementation from 1 paper 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 |
|---|---|---|
| 1 implementation 1 paper 2803cfee2d9a |
recipe/leeps/task_sampler.py 4bb9a4bd recorded values:2/float/float64 |
[0.60254, -0.512675, 0.159124, -0.230934, -0.301783, -0.344442, -0.221532, 0.191492, …] shape [4, 8] · float32 · ndarray |
Bucket 3 of 3: arg 1: rank 3, kind float, dtype float32
1 implementation from 1 paper 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 |
|---|---|---|
| 1 implementation 1 paper 0e0d73a888ed |
models/mahalanobis.py ddaf1f82 recorded d:3/float/float32 |
[-0.160311, 0.302062, -0.225948, -0.0463464, 0.0271029, -0.257531, -0.0610541, -0.0684098, …] shape [2, 4, 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/l2-normalize.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