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get_gpu_memory

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

get_gpu_memory appears in the code Syntology harvested for 16 papers, as 8 distinct code bodies found in 16 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 get_gpu_memory 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 8 distinct code bodies named get_gpu_memory; 8 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
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 16 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

16 papers shown of 16, newest first; 16 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, and the graph's for 1 papers added by Syntology; 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
Representation-Aware Advantage Estimation: Your Reward Model Provides More Than A Scalar Output added by Syntology 2026-06 (from id) fanqiwan/FuseAI/FuseChat/train/model/model_adapter.py 4bec2455307c11b7 unverified no licence file found · pointer only
Weighted-Reward Preference Optimization for Implicit Model Fusion 4 Dec 2024 fanqiwan/fuseai/FuseChat/train/model/model_adapter.py 4bec2455307c11b7 unverified no licence file found · pointer only
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions 27 Jun 2024 umass-ml4ed/divert/code/distractorgen/model.py f8c2b35fc99c3811 unverified no licence file found · pointer only
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding 21 May 2024 acharkq/ProtT3/model/blip2.py fb63587ed05937c2 unverified no licence file found · pointer only
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models 9 Apr 2024 wisdomshell/freeeval/freeeval/models/local_hf_model.py 130bb3f6e9a905b4 unverified no licence file found · pointer only
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models 12 Mar 2024 openbmb/toolbench/toolbench/utils.py 2f3cb5d0dcc18502 unverified Apache-2.0 (permissive)
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models 23 Feb 2024 zhuohaoyu/kieval/kieval/models/local_hf_model.py 130bb3f6e9a905b4 unverified no licence file found · pointer only
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning 16 Jan 2024 Junjie-Ye/RoTBench/Code/utils.py 2f3cb5d0dcc18502 unverified Apache-2.0 (permissive)
SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models 15 Dec 2023 smile-data/smile/FastChat/fastchat/serve/inference.py fe66d0280e436155 unverified no licence file found · pointer only
VIoTGPT: Learning to Schedule Vision Tools in LLMs towards Intelligent Video Internet of Things 1 Dec 2023 zhongyy/viotgpt/train/utils.py 2f3cb5d0dcc18502 unverified no licence file found · pointer only
PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator 21 Aug 2023 FreedomIntelligence/PlatoLM/model/sft_platolm/source/deploy/inference.py fe66d0280e436155 unverified Apache-2.0 (permissive)
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition 7 Aug 2023 universal-ner/universal-ner/src/train/fastchat/utils.py 2f3cb5d0dcc18502 unverified MIT (permissive)
3D-LLM: Injecting the 3D World into Large Language Models 24 Jul 2023 umass-foundation-model/3d-llm/3DLanguage_data/ChatCaptioner_based/quetion_model.py fe66d0280e436155 unverified MIT recorded; this copy not marked cleared · pointer only
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold 18 May 2023 opengvlab/internchat/iGPT/models/husky.py fe66d0280e436155 unverified Apache-2.0 (permissive)
Convolutional Occupancy Networks 10 Mar 2020 raphaelsulzer/dgnn/learning/runModel.py f33770b94c575ac6 unverified MIT (permissive)
arXiv:openreview_9aU4vrHPKD Octobrist/CoPE/src/fastchat/utils.py 581b270244ffadd5 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".

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