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linear_warmup_lr

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

linear_warmup_lr appears in the code Syntology harvested for 10 papers, as 5 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 0 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 linear_warmup_lr 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 0 of the 5 distinct code bodies named linear_warmup_lr; 5 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
0ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 0 of the 12 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

10 papers shown of 10, newest first; 12 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
SOFT: Softmax-free Transformer with Linear Complexity 22 Oct 2021 fudan-zvg/SOFT_MindSpore_Ascend/src/lr_generator.py 9da7260d717664f9 unverified MIT (permissive)
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 ZhouDaShan123/vit/src/lr.py 8a0d4718d0f91120 unverified Apache-2.0 (permissive)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection 8 Jun 2020 mszpc/nanodet/nanodet/src/lr_schedule.py 56d39004d57cb3a2 unverified Apache-2.0 (permissive)
Invertible Image Rescaling 12 May 2020 JoegameZhou/ms-irn/src/optim/warmup_cosine_annealing_lr.py 168634e8dabebd81 unverified Apache-2.0 (permissive)
Invertible Image Rescaling 12 May 2020 JoegameZhou/ms-irn/src/optim/warmup_multisteplr.py e333b3db3a301339 unverified Apache-2.0 (permissive)
YOLOv4: Optimal Speed and Accuracy of Object Detection 23 Apr 2020 zhanghuiyao/yolov5_mindspore/src/lr_scheduler.py 56d39004d57cb3a2 unverified MIT (permissive)
Deep Learning for Person Re-identification: A Survey and Outlook 13 Jan 2020 Haoyu1004/AGW_mindspore/src/utils/lr_generator.py 56d39004d57cb3a2 unverified Apache-2.0 (permissive)
EfficientDet: Scalable and Efficient Object Detection 20 Nov 2019 lyqcom/efficientdet/src/lr_schedule.py 56d39004d57cb3a2 unverified Apache-2.0 (permissive)
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery 7 Jul 2019 lyqcom/irn/src/optim/warmup_cosine_annealing_lr.py 168634e8dabebd81 unverified Apache-2.0 (permissive)
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery 7 Jul 2019 lyqcom/irn/src/optim/warmup_multisteplr.py e333b3db3a301339 unverified Apache-2.0 (permissive)
Graph-Based Global Reasoning Networks 30 Nov 2018 yangyucheng000/glore_res200/src/lr_generator.py 9da7260d717664f9 unverified Apache-2.0 (permissive)
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation 20 Nov 2016 alililia/ascend_RefineNet/src/learning_rates.py 9da7260d717664f9 unverified 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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