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norm_layer

Syntologyentry name in harvested coderead from the graph 2026-09-24

norm_layer appears in the code Syntology harvested for 17 papers, as 8 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 13 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named norm_layer do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 4 of the 8 distinct code bodies named norm_layer; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
3ran
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 18 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

17 papers shown of 17, newest first; 18 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 2 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention 23 May 2025 DreamTechAI/Direct3D-S2/direct3d_s2/models/autoencoders/dense_vae.py 6818f26f5c2a59a4 unverified MIT (permissive)
Structured 3D Latents for Scalable and Versatile 3D Generation 2 Dec 2024 Microsoft/TRELLIS/trellis/models/sparse_structure_vae.py 6818f26f5c2a59a4 unverified MIT (permissive)
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models 22 Sep 2024 KHU-AGI/HMDC/gcn_lib/torch_nn.py 09e6ddb17c0adf28 ran · our draft was wrong no licence file found · pointer only
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion 17 Jul 2024 hejiaxiang1/wavelet-diffusion/diffusion/ddpm.py cc5995af43962fc0 ran no licence file found · pointer only
Compositional Few-Shot Class-Incremental Learning 27 May 2024 zoilsen/comp-fscil/models/resnet12.py f36ac42575cd46ee ran MIT (permissive)
Automating Continual Learning 1 Dec 2023 idsia/automated-cl/utils_other/resnet_impl.py 319332ad3d5e39b1 ran MIT (permissive)
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation 9 Apr 2023 xiangchenyin/grpose/gcn_lib/torch_nn.py 09e6ddb17c0adf28 ran · our draft was wrong Apache-2.0 (permissive)
Vision GNN: An Image is Worth Graph of Nodes 1 Jun 2022 gswycf/signgraph/modules/gcn_lib/torch_vertex.py 09e6ddb17c0adf28 ran · our draft was wrong no licence file found · pointer only
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction 29 Oct 2021 elichienxD/deep_gcns_torch/gcn_lib/dense/torch_nn.py 09e6ddb17c0adf28 ran · our draft was wrong MIT (permissive)
Training Graph Neural Networks with 1000 Layers 14 Jun 2021 lightaime/deep_gcns_torch/gcn_lib/dense/torch_nn.py 09e6ddb17c0adf28 ran · our draft was wrong MIT (permissive)
Training Graph Neural Networks with 1000 Layers 14 Jun 2021 lightaime/deep_gcns_torch/gcn_lib/sparse/torch_nn.py 34c1fc07af3538f8 unverified MIT (permissive)
Robust Optimization as Data Augmentation for Large-scale Graphs 19 Oct 2020 devnkong/FLAG/deep_gcns_torch/gcn_lib/dense/torch_nn.py 09e6ddb17c0adf28 ran · our draft was wrong MIT (permissive)
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning 2 Oct 2020 NVlabs/Bongard-LOGO/Bongard-LOGO_Baselines/models/resnet12.py f36ac42575cd46ee ran MIT recorded; this copy not marked cleared · pointer only
Prototype Completion with Primitive Knowledge for Few-Shot Learning 10 Sep 2020 zhangbq-research/Prototype_Completion_for_FSL/models/resnet12_2.py f36ac42575cd46ee ran MIT (permissive)
Latent Video Transformer 18 Jun 2020 rakhimovv/lvt/vidgen/layers/wrappers.py e50af06007f00579 unverified Apache-2.0 (permissive)
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning 9 Mar 2020 cyvius96/few-shot-meta-baseline/meta-dataset/models/resnet12.py f36ac42575cd46ee ran MIT (permissive)
arXiv:aaai_28607 GuangmingZhu/SketchESC/models/graph_model.py 0ac550c1cace9548 unverified MIT (permissive)
arXiv:Li_Language-Driven_Anchors_for_Zero-Shot_Adversarial_Robustness_CVPR_2024_paper LixiaoTHU/LAAT/models/resnet12.py f36ac42575cd46ee ran MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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