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linear_warmup_learning_rate

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

linear_warmup_learning_rate appears in the code Syntology harvested for 8 papers, as 2 distinct code bodies found in 8 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_learning_rate 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 2 distinct code bodies named linear_warmup_learning_rate; 2 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
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 0 of the 8 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

8 papers shown of 8, newest first; 8 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
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance 8 Jan 2022 2023-MindSpore-1/ms-code-105/src/lr_schedule.py d6a99ec714147ac1 unverified MIT (permissive)
Video Swin Transformer 24 Jun 2021 ytw1996/swin3d_mindspore/src/schedule/lr_schedule.py d6a99ec714147ac1 unverified Apache-2.0 (permissive)
Vision Transformers for Dense Prediction 24 Mar 2021 mszpc/3d_dense/3d_densenet/src/lr_schedule.py 22bcde3a70606484 unverified Apache-2.0 (permissive)
X3D: Expanding Architectures for Efficient Video Recognition 9 Apr 2020 STONE-SAMA/x3d_mindspore/src/schedule/lr_schedule.py d6a99ec714147ac1 unverified Apache-2.0 (permissive)
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis 3 Apr 2019 JoegameZhou/cnnctc/src/lr_schedule.py d6a99ec714147ac1 unverified Apache-2.0 (permissive)
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 21 Jun 2016 jiajun169/mindspore_models/Unet3d/src/lr_schedule.py d6a99ec714147ac1 unverified Apache-2.0 (permissive)
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation 15 Jun 2016 alililia/VNet_Ascend/src/utils.py d6a99ec714147ac1 unverified Apache-2.0 (permissive)
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 4 Jun 2015 JoegameZhou/hrnetv2/src/lr_schedule.py d6a99ec714147ac1 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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