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conv_dw

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

conv_dw appears in the code Syntology harvested for 13 papers, as 11 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 6 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 conv_dw 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 5 of the 11 distinct code bodies named conv_dw; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
3ran
6unverified
0fingerprinted

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

13 papers shown of 13, 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; 1 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
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference 2 Jan 2024 musfiqshohan/modular-dcm/Image_Mediator_Training/ModularUtils/ControllerModel.py 6f4dc57096626144 ran no licence file found · pointer only
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference 2 Jan 2024 musfiqshohan/modular-dcm/modularCelebA/Classifiers/model.py 328a9852708ba457 ran no licence file found · pointer only
SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning 7 Oct 2023 youlei202/entropic-wasserstein-pruning/models/mobilenet_v1_dropout.py 8b3498a0092c350a ran no licence file found · pointer only
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer 19 Jan 2023 wujunde/medsegdiff/guided_diffusion/unet.py 8b3498a0092c350a ran MIT (permissive)
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration 13 Jun 2021 yhhhli/SNN_Calibration/models/ImageNet/models/mobilenet.py 67bde0c6505e6d67 unverified MIT (permissive)
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things 30 Mar 2020 Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi/federated_learning/cifar10_MobileNet/cifar10_mobile_fd_client_rasp.py d764482bb8006dcd unverified MIT (permissive)
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference 3 Jan 2020 mit-han-lab/haq-release/models/mobilenet.py a972ad175e8bda7f unverified MIT (permissive)
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers 30 May 2019 mrusci/training-mixed-precision-quantized-networks/models/mobilenet.py 6e46ab3005975697 ran · our draft was wrong no licence file found · pointer only
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution 10 Apr 2019 d-li14/octconv.pytorch/oct_mobilenet.py fe50a22175e3702c unverified Apache-2.0 (permissive)
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware 2 Dec 2018 mit-han-lab/haq/models/mobilenet.py a972ad175e8bda7f unverified MIT (permissive)
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 17 Apr 2017 lyk19940625/MyRFBNet/models/RFB_Net_mobile.py 91562b7b744b0715 ran · our draft was wrong MIT (permissive)
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks) 21 Mar 2017 1adrianb/face-alignment/face_alignment/detection/retinaface/mobilenet.py e2e512278cdc740a unverified BSD-3-Clause (permissive)
FlowNet: Learning Optical Flow with Convolutional Networks 26 Apr 2015 McDo/LightFlowPytorch/models/FlowNetL.py fd0432127db8b8c0 unverified MIT (permissive)
arXiv:aaai_28418 KidsWithTokens/MedSegDiff/guided_diffusion/unet.py 8b3498a0092c350a 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".

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