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get_shape

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

get_shape appears in the code Syntology harvested for 27 papers, as 25 distinct code bodies found in 28 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 2 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_shape 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 7 of the 25 distinct code bodies named get_shape; 18 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

3ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
1ran · fixture could not drive it
2ran
18unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 28 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

27 papers shown of 27, newest first; 28 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 2 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
HiEdit: Lifelong Model Editing with Hierarchical Reinforcement Learning added by Syntology 2026-04 (from id) yangfanww/hiedit/util.py b4e4936f917f7dda unverified no licence file found · pointer only
Hierarchical Orthogonal Residual Spread for Precise Massive Editing in Large Language Models added by Syntology 2026-01 (from id) XiaojieGu/HORSE/editor/horse.py 1f6059792bd3a490 ran · honoured contract no licence file found · pointer only
Optimizing Automatic Differentiation with Deep Reinforcement Learning 7 Jun 2024 jamielohoff/alphagrad/src/alphagrad/vertexgame/core.py 27157b30c8cb1b83 ran · fixture could not drive it fingerprinted MIT (permissive)
Optimizing Automatic Differentiation with Deep Reinforcement Learning 7 Jun 2024 jamielohoff/graphax/src/graphax/primitives/base.py 7cd542d5c5d2721c ran MIT (permissive)
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following 9 Feb 2024 bhyang/diffusion-es/nuplan-devkit/nuplan/database/maps_db/layer_dataset_ops.py ba204edcf64da86e ran no licence file found · pointer only
Massive Editing for Large Language Models via Meta Learning 8 Nov 2023 chenmientan/malmen/util.py b4e4936f917f7dda unverified no licence file found · pointer only
Evolution of Convolutional Neural Network (CNN): Compute vs Memory bandwidth for Edge AI 24 Sep 2023 cyndwith/ONNX-CNN-compute-and-memory-bandwidth-for-EdgeAI/onnx-mac/onnx-mac/onnx-compute.py 91fb668d0697b35b unverified no licence file found · pointer only
Diffusion Self-Guidance for Controllable Image Generation 1 Jun 2023 Sainzerjj/Free-Guidance-Diffusion/utils/guidance_functions.py f5883886f2babf56 unverified MIT (permissive)
SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition 30 Jan 2023 fudan-zvg/SeaFormer/seaformer-cls/seaformer.py ea3c9c759e695068 ran · honoured contract fingerprinted no licence file found · pointer only
ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event Classification 23 Nov 2022 sara-ahmed/asit/main_ASiT.py d4bb4a1d0195095d ran · honoured contract no licence file found · pointer only
CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems 5 Aug 2022 WDdeBWT/CROLoss/src/model.py 9b423c840f087475 unverified MIT (permissive)
Few-shot Object Counting and Detection 22 Jul 2022 VinAIResearch/Counting-DETR/src/CountDETR_147_1st_stage/compute_flops_and_speeds.py 4c68885935dfa85d unverified BSD-3-Clause (permissive)
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation 3 May 2022 whuir/mgnm/code/model.py 9b423c840f087475 unverified MIT (permissive)
Vision Transformer with Progressive Sampling 3 Aug 2021 yuexy/PS-ViT/utils/flop_count/jit_handles.py 653ac611901cfc1c unverified MIT (permissive)
Scaling Local Self-Attention for Parameter Efficient Visual Backbones 23 Mar 2021 kevin-ssy/ViP/utils/flop_count/jit_handles.py 653ac611901cfc1c unverified MIT (permissive)
Self-Supervised Variational Auto-Encoders 5 Oct 2020 ioangatop/srVAE/src/utils/utils.py 9d3c9fe8bebf73b5 unverified MIT (permissive)
Pillar-based Object Detection for Autonomous Driving 20 Jul 2020 WangYueFt/pillar-od/tf_util.py 73717934286fbf5a unverified MIT (permissive)
Dynamically Stable Infinite-Width Limits of Neural Classifiers 11 Jun 2020 deepmipt/research/Infinite_Width_Limits_of_Neural_Classifiers/utils/data_loaders.py ad72d8173724b09a unverified MIT (permissive)
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation 25 May 2019 NVlabs/6dof-graspnet/tf_utils.py e80d6f591a8400a8 unverified MIT recorded; this copy not marked cleared · pointer only
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement 23 May 2019 snu-mllab/DisentanglementICML19/tfops/info_op.py e68c6f7c91f3ecc7 unverified MIT (permissive)
Relational Graph Attention Networks 11 Apr 2019 Babylonpartners/rgat/rgat/ops/math_ops.py c4517c4403af4f37 unverified Apache-2.0 (permissive)
DDFlow: Learning Optical Flow with Unlabeled Data Distillation 25 Feb 2019 ppliuboy/DDFlow/network.py d60739445ab624e4 unverified MIT (permissive)
Learning Sound Event Classifiers from Web Audio with Noisy Labels 4 Jan 2019 edufonseca/icassp19/utils.py 59f34ca772f3187c unverified MIT (permissive)
On Learning 3D Face Morphable Model from In-the-wild Images 28 Aug 2018 tranluan/Nonlinear_Face_3DMM/ops.py 0bac2024ebaad067 unverified Apache-2.0 (permissive)
Matrix-normal models for fMRI analysis 8 Nov 2017 brainiak/brainiak/src/brainiak/funcalign/fastsrm.py 3221b6c442f0d561 unverified Apache-2.0 (permissive)
Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation 6 Dec 2016 eske/seq2seq/translate/beam_search.py 350b8500eef3645a unverified Apache-2.0 (permissive)
Training Deep Nets with Sublinear Memory Cost 21 Apr 2016 AD1024/torch-checkpointing/utils/checkpointing.py f79b25e8e9f6d799 ran · our draft was wrong no licence file found · pointer only
arXiv:2024.findings-naacl.46 knalin55/LEEETs-Dial/utils.py fc1235925bcd4653 unverified 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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