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build_tf_to_pytorch_map

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

build_tf_to_pytorch_map appears in the code Syntology harvested for 14 papers, as 3 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 13 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 build_tf_to_pytorch_map 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 2 of the 3 distinct code bodies named build_tf_to_pytorch_map; 1 is 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
0ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 14 places is 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

14 papers shown of 14, 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; 2 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
TRAMS: Training-free Memory Selection for Long-range Language Modeling 24 Oct 2023 lwaekfjlk/trams/utils/modeling_transfo_xl.py 3a19eddb248a274c ran · our draft was wrong Apache-2.0 (permissive)
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs 31 May 2022 james-oldfield/PandA/networks/biggan/convert_tf_to_pytorch.py ce9a06f7562fa6ed unverified Apache-2.0 (permissive)
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? 12 Oct 2020 jessevig/bertviz/bertviz/transformers_neuron_view/modeling_transfo_xl.py 35ef111fc00c21b4 ran · our draft was wrong Apache-2.0 (permissive)
Contextualizing Hate Speech Classifiers with Post-hoc Explanation 5 May 2020 owaisCS/TestHateSpeech/bert/modeling_transfo_xl.py 35ef111fc00c21b4 ran · our draft was wrong MIT (permissive)
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training 1 May 2020 dreasysnail/POINTER/pytorch_transformers/modeling_transfo_xl.py 35ef111fc00c21b4 ran · our draft was wrong MIT (permissive)
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning 8 Apr 2020 zlinao/VGLM/pytorch_transformers/modeling_transfo_xl.py 35ef111fc00c21b4 ran · our draft was wrong MIT (permissive)
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters 5 Feb 2020 microsoft/K-Adapter/pytorch_transformers/modeling_transfo_xl.py 35ef111fc00c21b4 ran · our draft was wrong MIT (permissive)
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations 2 Nov 2019 SVAIGBA/TwASP/pytorch_pretrained_bert/modeling_transfo_xl.py 35ef111fc00c21b4 ran · our draft was wrong MIT (permissive)
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering 9 Sep 2019 DecstionBack/AAAI_2020_CommonsenseQA/pytorch_transformers/modeling_transfo_xl.py 35ef111fc00c21b4 ran · our draft was wrong Apache-2.0 (permissive)
Patient Knowledge Distillation for BERT Model Compression 25 Aug 2019 eunanomist/PKD_BERT/BERT/pytorch_pretrained_bert/modeling_transfo_xl.py 35ef111fc00c21b4 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
XLNet: Generalized Autoregressive Pretraining for Language Understanding 19 Jun 2019 samwisegamjeee/pytorch-transformers/pytorch_transformers/modeling_transfo_xl.py 35ef111fc00c21b4 ran · our draft was wrong Apache-2.0 (permissive)
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context 9 Jan 2019 cedrickchee/pytorch-pretrained-BERT/pytorch_pretrained_bert/modeling_transfo_xl.py 35ef111fc00c21b4 ran · our draft was wrong Apache-2.0 (permissive)
arXiv:2024.findings-naacl.32 SnowYJ/sem_syn_separation/optimus_separate_graph_sem_syntax_fuse_gpt2/pytorch_transformers/modeling_transfo_xl.py 35ef111fc00c21b4 ran · our draft was wrong MIT (permissive)
arXiv:2023.findings-emnlp.331 lwaekfjlk/TRAMS/utils/modeling_transfo_xl.py 3a19eddb248a274c ran · our draft was wrong 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