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get_num_layer_for_vit

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

get_num_layer_for_vit appears in the code Syntology harvested for 23 papers, as 9 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 20 of the papers; 5 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 get_num_layer_for_vit 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 6 of the 9 distinct code bodies named get_num_layer_for_vit; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
6ran
3unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 24 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

23 papers shown of 23, newest first; 24 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; 5 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
Make Your Training Flexible: Towards Deployment-Efficient Video Models 18 Mar 2025 OpenGVLab/FluxViT/single_modality/optim_factory.py 009cf18580e4b995 unverified MIT (permissive)
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI 29 May 2024 935963004/labram/optim_factory.py a3448702d6025ce6 ran fingerprinted MIT (permissive)
Unleashing Network Potentials for Semantic Scene Completion 12 Mar 2024 fereenwong/ammnet/ammnet/optim/optim_factory.py d89af417b0668f4b ran fingerprinted no licence file found · pointer only
Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures 4 Mar 2024 OpenGVLab/Vision-RWKV/detection/mmcv_custom/layer_decay_optimizer_constructor.py 62f6742745cb0637 ran fingerprinted Apache-2.0 (permissive)
Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures 4 Mar 2024 OpenGVLab/Vision-RWKV/segmentation/mmcv_custom/layer_decay_optimizer_constructor.py 7e302eeb245b5b47 ran fingerprinted Apache-2.0 (permissive)
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation 17 Dec 2023 anxq/sharpose/mmcv_custom/layer_decay_optimizer_constructor.py 1160cad6b6557c9a ran no licence file found · pointer only
SA$^2$VP: Spatially Aligned-and-Adapted Visual Prompt 16 Dec 2023 tommy-xq/sa2vp/optim_factory.py a3448702d6025ce6 ran fingerprinted MIT (permissive)
PAD: Self-Supervised Pre-Training with Patchwise-Scale Adapter for Infrared Images 13 Dec 2023 casiatao/pad/segmentation/mmcv_custom/layer_decay_optimizer_constructor.py 24385f6e21ea88d7 ran fingerprinted Apache-2.0 (permissive)
Mamba: Linear-Time Sequence Modeling with Selective State Spaces 1 Dec 2023 thearkaprava/ms-temba/seg/mmcv_custom/layer_decay_optimizer_constructor.py 24385f6e21ea88d7 ran fingerprinted Apache-2.0 (permissive)
MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition 5 Jul 2023 sunlicai/mae-dfer/optim_factory.py a3448702d6025ce6 ran fingerprinted MIT (permissive)
Revisiting Token Pruning for Object Detection and Instance Segmentation 12 Jun 2023 uzh-rpg/svit/mmcv_custom/layer_decay_optimizer_constructor.py 62f6742745cb0637 ran fingerprinted Apache-2.0 (permissive)
Hyperbolic Image-Text Representations 18 Apr 2023 facebookresearch/slip/beit_finetuning/optim_factory.py a3448702d6025ce6 ran fingerprinted MIT recorded; this copy not marked cleared · pointer only
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras 20 Dec 2022 tum-vision/mem/mem/optim_factory.py a3448702d6025ce6 ran fingerprinted Apache-2.0 (permissive)
ViTPose++: Vision Transformer for Generic Body Pose Estimation 7 Dec 2022 vitae-transformer/vitpose/mmcv_custom/layer_decay_optimizer_constructor.py 24385f6e21ea88d7 ran fingerprinted Apache-2.0 (permissive)
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders 16 Nov 2022 wgcban/adamae/optim_factory.py a3448702d6025ce6 ran fingerprinted MIT (permissive)
Exploring Target Representations for Masked Autoencoders 8 Sep 2022 liuxingbin/dbot/evaluation/optim_factory.py a3448702d6025ce6 ran fingerprinted Apache-2.0 (permissive)
Masked Unsupervised Self-training for Label-free Image Classification 7 Jun 2022 salesforce/must/optim_factory.py 1d9b49adcf6dcf3c unverified BSD-3-Clause (permissive)
Exploring Plain Vision Transformer Backbones for Object Detection 30 Mar 2022 ViTAE-Transformer/ViTDet/mmcv_custom/layer_decay_optimizer_constructor.py 3ccf2a44831e8069 unverified Apache-2.0 (permissive)
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection 18 Jul 2020 bohao-lee/pdc/mmcv_custom/layer_decay_optimizer_constructor.py 24385f6e21ea88d7 ran fingerprinted Apache-2.0 (permissive)
arXiv:aaai_28502 yuhongtian17/Spatial-Transform-Decoupling/mmrotate-main/mmcv_custom/layer_decay_optimizer_constructor.py 24385f6e21ea88d7 ran fingerprinted MIT (permissive)
arXiv:aaai_28243 tommy-xq/SA2VP/optim_factory.py a3448702d6025ce6 ran fingerprinted MIT (permissive)
arXiv:Ning_Trap_Attention_Monocular_Depth_Estimation_With_Manual_Traps_CVPR_2023_paper ICSResearch/TrapAttention/depth/mmcv_custom/layer_decay_optimizer_constructor.py 24385f6e21ea88d7 ran fingerprinted MIT (permissive)
arXiv:136860514 facebookresearch/SLIP/beit_finetuning/optim_factory.py a3448702d6025ce6 ran fingerprinted MIT recorded; this copy not marked cleared · pointer only
arXiv:05527 lambert-x/ProLab/mmcv_custom/layer_decay_optimizer_constructor.py 7e302eeb245b5b47 ran fingerprinted Apache-2.0 (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".

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