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convert_pytorch_state_dict_to_flax

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

convert_pytorch_state_dict_to_flax appears in the code Syntology harvested for 21 papers, as 8 distinct code bodies found in 21 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 convert_pytorch_state_dict_to_flax 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 3 of the 8 distinct code bodies named convert_pytorch_state_dict_to_flax; 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
3ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 21 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

21 papers shown of 21, newest first; 21 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
DSCD: Large Language Model Detoxification with Self-Constrained Decoding added by Syntology 2025-10 (from id) ZHANGJINKUI/DSCD/transformers/modeling_flax_pytorch_utils.py b1260d802f5e3997 unverified MIT (permissive)
Cautious Next Token Prediction 3 Jul 2025 wyzjack/CNTP/custom_transformers_packages/gsm8k_strategyqa/transformers/modeling_flax_pytorch_utils.py b1260d802f5e3997 unverified MIT (permissive)
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models 25 May 2025 wangqinsi1/2025-ICML-CoreMatching/transformers/modeling_flax_pytorch_utils.py b1260d802f5e3997 unverified Apache-2.0 (permissive)
MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads 19 Feb 2025 NeosKnight233/MuDAF/transformers/modeling_flax_pytorch_utils.py 8518c46881e53b67 unverified Apache-2.0 (permissive)
Follow-Your-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation 2 Sep 2024 mayuelala/followyourcanvas/diffusers/modeling_flax_pytorch_utils.py 7d657d43bf8f10fc ran no licence file found · pointer only
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation 17 Jun 2024 kaist-cvml-lab/part-clipseg/transformers/modeling_flax_pytorch_utils.py 5168a172bbb363a5 ran MIT (permissive)
GrootVL: Tree Topology is All You Need in State Space Model 4 Jun 2024 easonxiao-888/grootvl/GrootL/transformers/modeling_flax_pytorch_utils.py b1260d802f5e3997 unverified no licence file found · pointer only
Invisible Backdoor Attacks on Diffusion Models 2 Jun 2024 invisibletriggerdiffusion/invisible_triggers_for_diffusion/diffusers/modeling_flax_pytorch_utils.py 7d657d43bf8f10fc ran no licence file found · pointer only
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning 30 Apr 2024 clin0212/hydralora/HydraLoRA/transformers/modeling_flax_pytorch_utils.py 5168a172bbb363a5 ran no licence file found · pointer only
Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts 13 Mar 2024 mayuelala/followyourclick/diffusers/modeling_flax_pytorch_utils.py 7d657d43bf8f10fc ran no licence file found · pointer only
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts 20 Feb 2024 bumble666/hypermoe_early_version/gpt-2-moe/transformers/modeling_flax_pytorch_utils.py 5168a172bbb363a5 ran Apache-2.0 (permissive)
On the Robustness of Editing Large Language Models 8 Feb 2024 xbmxb/edit_analysis/code/transformers/modeling_flax_pytorch_utils.py 5168a172bbb363a5 ran no licence file found · pointer only
LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin 15 Dec 2023 ablustrund/loramoe/transformers/modeling_flax_pytorch_utils.py 5168a172bbb363a5 ran no licence file found · pointer only
TLM: Token-Level Masking for Transformers 28 Oct 2023 Young1993/tlm/transformers/modeling_flax_pytorch_utils.py db0c9b6ddfd01ae5 ran no licence file found · pointer only
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts 15 Oct 2023 shwai-he/meo/transformers/modeling_flax_pytorch_utils.py 5168a172bbb363a5 ran no licence file found · pointer only
OV-PARTS: Towards Open-Vocabulary Part Segmentation 8 Oct 2023 openrobotlab/ov_parts/transformers/modeling_flax_pytorch_utils.py 5168a172bbb363a5 ran no licence file found · pointer only
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation 25 May 2023 veason-silverbullet/unitrec/transformers/modeling_flax_pytorch_utils.py db0c9b6ddfd01ae5 ran MIT (permissive)
Improving Diffusion Models for Scene Text Editing with Dual Encoders 12 Apr 2023 ucsb-nlp-chang/diffste/diffusers/modeling_flax_pytorch_utils.py 7d657d43bf8f10fc ran MIT (permissive)
Identification of Negative Transfers in Multitask Learning Using Surrogate Models 25 Mar 2023 neu-statsml-research/task-modeling/transformers/modeling_flax_pytorch_utils.py f37141ae02c0de99 unverified MIT (permissive)
Continual Sequence Generation with Adaptive Compositional Modules 20 Mar 2022 GT-SALT/Adaptive-Compositional-Modules/mytransformers/modeling_flax_pytorch_utils.py b5729b6f3daf1fe2 unverified MIT (permissive)
arXiv:2022.findings-emnlp.427 kgarg8/FullTextKP/transformers/modeling_flax_pytorch_utils.py cb99064a45dcb4dc 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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