Home › Code › _make_divisible

_make_divisible

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

_make_divisible appears in the code Syntology harvested for 9 papers, as 14 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 4 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 _make_divisible 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 14 of the 14 distinct code bodies named _make_divisible; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

13ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
0unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 14 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

9 papers shown of 9, newest first; 14 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. 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
GhostNetV2: Enhance Cheap Operation with Long-Range Attention 23 Nov 2022 likyoo/GhostNetV2-PyTorch/ghostnetv2.py 75495d6418418155 ran · honoured contract fingerprinted no licence file found · pointer only
EfficientNetV2: Smaller Models and Faster Training 1 Apr 2021 leondgarse/Keras_efficientnet_v2/keras_efficientnet_v2/efficientnet_v2.py 29f99c375893c0a7 ran · honoured contract Apache-2.0 (permissive)
EfficientNetV2: Smaller Models and Faster Training 1 Apr 2021 DavidLandup0/deepvision/deepvision/models/classification/efficientnet/efficientnetv2.py 933cca1f8110f0cc ran Apache-2.0 (permissive)
Learning Versatile Neural Architectures by Propagating Network Codes 24 Mar 2021 dingmyu/NCP/models/supernet.py 733638be3c212532 ran · honoured contract BSD-2-Clause (permissive)
MoViNets: Mobile Video Networks for Efficient Video Recognition 21 Mar 2021 Atze00/MoViNet-pytorch/movinets/models.py 0cf345647883539d ran · honoured contract fingerprinted MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 canturan10/satellighte/satellighte/archs/efficientnet/module.py c0621a0616046823 ran · honoured contract MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 chrisqqq123/FA-Dist-EfficientNet/models/efficientnet.py 98d68ff672dd2414 ran · honoured contract fingerprinted MIT (permissive)
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 28 May 2019 pytorch/vision/torchvision/models/efficientnet.py 5d02b2d3887edbb5 ran · honoured contract fingerprinted BSD-3-Clause (permissive)
Searching for MobileNetV3 6 May 2019 SpikeKing/mobilenet_v3/mn3_model.py 03eee59192d9c54e ran · honoured contract no licence file found · pointer only
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation 7 Feb 2018 sara-nl/SURF-segmentation/deeplab/keras-deeplab-v3-plus-master/model.py 1eac80b6e2cee7b2 ran · honoured contract no licence file found · pointer only
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 yakhyo/gaze-estimation/models/mobilenet.py 13980381792aff88 ran · honoured contract MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 deep-learning-algorithm/LightWeightCNN/py/lib/models/mobilenet_v2/mobilenet_v2.py 13f1c8e878ee2013 ran · honoured contract Apache-2.0 (permissive)
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 17 Apr 2017 diasirish/mobilenetv3/model.py 0d8f0dbec2595af8 ran · honoured contract no licence file found · pointer only
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 17 Apr 2017 wangvation/torch-mobilenet/module/mobilenet.py 4369467852623e56 ran · honoured contract licence not identified · pointer only

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