| { |
| "run_id": "20261024-201644-45c5b4", |
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| "target_parent_commit": "dc9c3c56b2c7530dc5df0c47208619fd455ff158", |
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| { |
| "id": "vikp_clean_notebooks_filtered", |
| "repo": "vikp/clean_notebooks_filtered", |
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| "license_summary": "No license declared; metadata only", |
| "upstream_card": "---\ndataset_info:\n features:\n - name: code\n dtype: string\n - name: kind\n dtype: string\n - name: parsed_code\n dtype: string\n - name: quality_prob\n dtype: float64\n - name: learning_prob\n dtype: float64\n splits:\n - name: train\n num_bytes: 3018948094.822456\n num_examples: 195900\n download_size: 1476349379\n dataset_size: 3018948094.822456\nconfigs:\n- config_name: default\n data_files:\n - split: train\n path: data/train-*\n---\n# Dataset Card for \"clean_notebooks_filtered\"\n\n[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)", |
| "authority": "community", |
| "use": "Licensing/provenance metadata only", |
| "licensing_note": "No license is declared in the pinned upstream dataset card and no LICENSE file or per-record origin/license columns are provided. No notebook contents are redistributed. This folder records facts about the requested source; it does not invent a license grant.", |
| "attribution": "Source dataset author: vikp. No source notebook contents included." |
| }, |
| { |
| "id": "monster_pytorch_code_10k", |
| "repo": "Monster-Code/Pytorch-Code-10K", |
| "revision": "99c0ba3cc6b31990a4e4ff1eba13db463a750d35", |
| "kind": "hf_monster", |
| "license_id": "MIT", |
| "license_summary": "MIT packaging; retained original code licenses per record", |
| "upstream_card": "---\ndataset_info:\n features:\n - name: code\n dtype: string\n - name: caption\n dtype: string\n - name: source_hash\n dtype: string\n splits:\n - name: train\n num_bytes: 99843750\n num_examples: 10625\n download_size: 40215000\n dataset_size: 99843750\nconfigs:\n - config_name: default\n data_files:\n - split: train\n path: \"*.parquet\"\ntags:\n - pytorch\n - transformers\n - code-examples\n - deep-learning\n - python\n - machine-learning\nsize_categories:\n - 1K<n<10K\nlicense: mit\nlanguage:\n - en\ntask_categories:\n - text-generation\ntask_ids:\n - language-modeling\n - explanation-generation\n---\n\n # Python/Pytorch Code Dataset\n[](https://huggingface.co/spaces/tardellirs/model-pulse?dataset=Monster-Code/Pytorch-Code-10K)\nA collection of code from repos on The Stack, with captions generated by AI.\n## Dataset Description\n\nThis dataset contains Python code snippets sourced from open-source repositories that utilize PyTorch or Hugging Face Transformers. Each sample includes:\n\n- **code**: The raw Python source code (typically containing `import torch`, `from torch import nn`, or transformer-related imports)\n- **caption**: A natural language description generated by T5-Large summarizing the code's purpose and functionality\n- **source_hash**: The unique SHA hash of the original source file for deduplication and provenance tracking\n\n### Data Fields\n\n| Field | Type | Description |\n| :--- | :--- | :--- |\n| `code` | string | Raw Python code snippet featuring PyTorch/Transformers usage |\n| `caption` | string | AI-generated natural language summary of the code's functionality |\n| `source_hash` | string | Unique identifier (SHA) of the original GitHub source file |\n\n### Data Splits\n\n| Split | Num Examples | Description |\n| :--- | :--- | :--- |\n| `train` | 10,625 | All samples are in a single training split |\n\n## Creation Process\n\n### Source Data\nCode was extracted from [The Stack V1](https://huggingface.co/datasets/bigcode/the-stack) Python subset using streaming mode. Files were filtered to include only those containing PyTorch or Transformers imports.\n\n### Caption Generation\nCaptions were generated using **google-t5/t5-large** with the prompt template `\"summarize: {code}\"`. License headers and comments were stripped before captioning to focus on actual logic. Captions were generated in batches of 100 and pushed incrementally to ensure no data loss during long-running generation sessions.\n\n### Deduplication\nEach file is tracked by its `source_hash` to guarantee zero duplicates across all 107 parquet shards.\n\n## Intended Use\n\n- Fine-tuning code-specialized LLMs for PyTorch/Transformers expertise\n- Training code summarization and explanation models\n- Building code search and retrieval systems\n- Evaluating code understanding capabilities of language models\n\n### Out-of-Scope Uses\n- Generating production-critical code without human review\n- Security-sensitive applications without additional validation\n- Any use violating the MIT license terms of the underlying source code\n\n## Licensing\n\nThis dataset is released under the **MIT License**. Individual code samples retain their original licenses from source repositories. Users should verify compatibility for their specific use case.", |
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| "licensing_note": "The upstream card declares MIT for the dataset but explicitly says individual code samples retain their original repository licenses. Only samples carrying explicit MIT, Apache-2.0, BSD-2-Clause or BSD-3-Clause inline declarations are retained. Anonymous hashes, a dataset MIT badge and public access are not treated as grants over unlicensed or noncommercial samples. The original notices are preserved in ATTRIBUTIONS.jsonl and record metadata. Reference license texts do not replace those notices.", |
| "attribution": "Monster-Code/Pytorch-Code-10K; original code authors retained in each inline notice. Source: The Stack v1 according to the upstream card. AI captions are omitted." |
| }, |
| { |
| "id": "pytorch_examples", |
| "repo": "pytorch/examples", |
| "revision": "acc295dc7b90714f1bf47f06004fc19a7fe235c4", |
| "kind": "github_code", |
| "track": "main", |
| "license_id": "BSD-3-Clause", |
| "license_summary": "BSD-3-Clause; file-specific notices retained", |
| "license_text": "BSD 3-Clause License\n\nCopyright (c) 2017, Pytorch contributors\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n", |
| "upstream_card": "# PyTorch Examples\n\nhttps://pytorch.org/examples/\n\n`pytorch/examples` is a repository showcasing examples of using [PyTorch](https://github.com/pytorch/pytorch). The goal is to have curated, short, few/no dependencies _high quality_ examples that are substantially different from each other that can be emulated in your existing work.\n\n- For tutorials: https://github.com/pytorch/tutorials\n- For changes to pytorch.org: https://github.com/pytorch/pytorch.github.io\n- For a general model hub: https://pytorch.org/hub/ or https://huggingface.co/models\n- For recipes on how to run PyTorch in production: https://github.com/facebookresearch/recipes\n- For general Q&A and support: https://discuss.pytorch.org/\n\n## Available models\n\n- [Image classification (MNIST) using Convnets](./mnist/README.md)\n- [Word-level Language Modeling using RNN and Transformer](./word_language_model/README.md)\n- [Training Imagenet Classifiers with Popular Networks](./imagenet/README.md)\n- [Generative Adversarial Networks (DCGAN)](./dcgan/README.md)\n- [Variational Auto-Encoders](./vae/README.md)\n- [Superresolution using an efficient sub-pixel convolutional neural network](./super_resolution/README.md)\n- [Hogwild training of shared ConvNets across multiple processes on MNIST](mnist_hogwild)\n- [Training a CartPole to balance with actor-critic](./reinforcement_learning/README.md)\n- [Natural Language Inference (SNLI) with GloVe vectors, LSTMs, and torchtext](snli)\n- [Time sequence prediction - use an LSTM to learn Sine waves](./time_sequence_prediction/README.md)\n- [Implement the Neural Style Transfer algorithm on images](./fast_neural_style/README.md)\n- [Reinforcement Learning with Actor Critic and REINFORCE algorithms on OpenAI gym](./reinforcement_learning/README.md)\n- [PyTorch Module Transformations using fx](./fx/README.md)\n- Distributed PyTorch examples with [Distributed Data Parallel](./distributed/ddp/README.md) and [RPC](./distributed/rpc)\n- [Several examples illustrating the C++ Frontend](cpp)\n- [Image Classification Using Forward-Forward](./mnist_forward_forward/README.md)\n- [Language Translation using Transformers](./language_translation/README.md)\n\nAdditionally, a list of good examples hosted in their own repositories:\n\n- [Neural Machine Translation using sequence-to-sequence RNN with attention (OpenNMT)](https://github.com/OpenNMT/OpenNMT-py)\n\n## Contributing\n\nIf you'd like to contribute your own example or fix a bug please make sure to take a look at [CONTRIBUTING.md](CONTRIBUTING.md).\n", |
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| "requested_url": "https://github.com/pytorch/examples", |
| "licensing_note": "The pinned upstream repository is BSD-3-Clause. Its original LICENSE is copied unchanged. File-specific declared license exceptions and copyright notices remain in record metadata/ATTRIBUTIONS.jsonl. Model weights, datasets, images and external linked repositories are not included. Main-branch scripts are not certified compatible with the local torch 2.6 / torchvision 0.21 environment.", |
| "attribution": "PyTorch contributors. Original upstream LICENSE/copyright text is preserved." |
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| "id": "pytorch_tutorials", |
| "repo": "pytorch/tutorials", |
| "revision": "c8ccbbf7fcb8cb71adda1b957bd6bab50e29c2e6", |
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| "license_id": "BSD-3-Clause", |
| "license_summary": "BSD-3-Clause; file-specific notices retained", |
| "license_text": "BSD 3-Clause License\n\nCopyright (c) 2017-2022, Pytorch contributors\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n", |
| "upstream_card": "# PyTorch Tutorials\n\n\nAll the tutorials are now presented as sphinx style documentation at:\n\n## [https://pytorch.org/tutorials](https://pytorch.org/tutorials)\n\n# Asking a question\n\nIf you have a question about a tutorial, post in https://dev-discuss.pytorch.org/ rather than creating an issue in this repo. Your question will be answered much faster on the dev-discuss forum.\n\n# Submitting an issue\n\nYou can submit the following types of issues:\n\n* Feature request - request a new tutorial to be added. Please explain why this tutorial is needed and how it demonstrates PyTorch value.\n* Bug report - report a failure or outdated information in an existing tutorial. When submitting a bug report, please run: `python3 -m torch.utils.collect_env` to get information about your environment and add the output to the bug report.\n\n# Contributing\n\nWe use sphinx-gallery's [notebook styled examples](https://sphinx-gallery.github.io/stable/tutorials/index.html) to create the tutorials. Syntax is very simple. In essence, you write a slightly well formatted Python file and it shows up as an HTML page. In addition, a Jupyter notebook is autogenerated and available to run in Google Colab.\n\nHere is how you can create a new tutorial (for a detailed description, see [CONTRIBUTING.md](./CONTRIBUTING.md)):\n\nNOTE: Before submitting a new tutorial, read [PyTorch Tutorial Submission Policy](./tutorial_submission_policy.md).\n\n1. Create a Python file. If you want it executed while inserted into documentation, save the file with the suffix `tutorial` so that the file name is `your_tutorial.py`.\n2. Put it in one of the `beginner_source`, `intermediate_source`, `advanced_source` directory based on the level of difficulty. If it is a recipe, add it to `recipes_source`. For tutorials demonstrating unstable prototype features, add to the `prototype_source`.\n3. For Tutorials (except if it is a prototype feature), include it in the `toctree` directive and create a `customcarditem` in [index.rst](./index.rst).\n4. For Tutorials (except if it is a prototype feature), create a thumbnail in the [index.rst file](https://github.com/pytorch/tutorials/blob/main/index.rst) using a command like `.. customcarditem:: beginner/your_tutorial.html`. For Recipes, create a thumbnail in the [recipes_index.rst](https://github.com/pytorch/tutorials/blob/main/recipes_index.rst)\n\nIf you are starting off with a Jupyter notebook, you can use [this script](https://gist.github.com/chsasank/7218ca16f8d022e02a9c0deb94a310fe) to convert the notebook to Python file. After conversion and addition to the project, please make sure that section headings and other things are in logical order.\n\n## Building locally\n\nThe tutorial build is very large and requires a GPU. If your machine does not have a GPU device, you can preview your HTML build without actually downloading the data and running the tutorial code:\n\n1. Install required dependencies by running: `pip install -r requirements.txt`.\n\n> Typically, you would run either in `conda` or `virtualenv`. If you want to use `virtualenv`, in the root of the repo, run: `virtualenv venv`, then `source venv/bin/activate`.\n\n- If you have a GPU-powered laptop, you can build using `make docs`. This will download the data, execute the tutorials and build the documentation to `docs/` directory. This might take about 60-120 min for systems with GPUs. If you do not have a GPU installed on your system, then see next step.\n- You can skip the computationally intensive graph generation by running `make html-noplot` to build basic html documentation to `_build/html`. This way, you can quickly preview your tutorial.\n\n## Building a single tutorial\n\nYou can build a single tutorial by using the `GALLERY_PATTERN` environment variable. For example to run only `neural_style_transfer_tutorial.py`, run:\n\n```\nGALLERY_PATTERN=\"neural_style_transfer_tutorial.py\" make html\n```\nor\n\n```\nGALLERY_PATTERN=\"neural_style_transfer_tutorial.py\" sphinx-build . _build\n```\n\nThe `GALLERY_PATTERN` variable respects regular expressions.\n\n## Spell Check\nYou can run pyspelling to check for spelling errors in the tutorials. To check only Python files, run pyspelling -n python. To check only .rst files, use pyspelling -n reST. Currently, .rst spell checking is limited to the beginner/ directory. Contributions to enable spell checking in other directories are welcome!\n\n\n```\npyspelling # full check (~3 mins)\npyspelling -n python # Python files only\npyspelling -n reST # reST files (only beginner/ dir currently included)\n```\n\n\n## About contributing to PyTorch Documentation and Tutorials\n* You can find information about contributing to PyTorch documentation in the\nPyTorch Repo [README.md](https://github.com/pytorch/pytorch/blob/master/README.md) file.\n* Additional information can be found in [PyTorch CONTRIBUTING.md](https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md).\n\n\n## License\n\nPyTorch Tutorials is BSD licensed, as found in the LICENSE file.\n", |
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| "use": "RAG code/documentation evidence", |
| "requested_url": "https://github.com/pytorch/tutorials", |
| "licensing_note": "The pinned upstream repository is BSD-3-Clause. Its original LICENSE is copied unchanged. File-specific declared license exceptions and copyright notices remain in record metadata/ATTRIBUTIONS.jsonl. Model weights, datasets, images and external linked repositories are not included. Main-branch scripts are not certified compatible with the local torch 2.6 / torchvision 0.21 environment.", |
| "attribution": "PyTorch contributors. Original upstream LICENSE/copyright text is preserved." |
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| { |
| "id": "torchvision_training_references", |
| "repo": "pytorch/vision", |
| "revision": "a034671605659e24ff1de1142079bf318ac3b123", |
| "kind": "github_code", |
| "track": "main", |
| "license_id": "BSD-3-Clause", |
| "license_summary": "BSD-3-Clause; file-specific notices retained", |
| "license_text": "BSD 3-Clause License\n\nCopyright (c) Soumith Chintala 2016, \nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n", |
| "upstream_card": "# torchvision\n\n[](https://pepy.tech/project/torchvision)\n[](https://pytorch.org/vision/stable/index.html)\n\nThe torchvision package consists of popular datasets, model architectures, and common image transformations for computer\nvision.\n\n## Installation\n\nPlease refer to the [official\ninstructions](https://pytorch.org/get-started/locally/) to install the stable\nversions of `torch` and `torchvision` on your system.\n\nTo build source, refer to our [contributing\npage](https://github.com/pytorch/vision/blob/main/CONTRIBUTING.md#development-installation).\n\nThe following is the corresponding `torchvision` versions and supported Python\nversions.\n\n| `torch` | `torchvision` | Python |\n| ------------------ | ------------------ | ------------------- |\n| `main` / `nightly` | `main` / `nightly` | `>=3.11`, `<=3.14` |\n| `2.13` | `0.28` | `>=3.10`, `<=3.14` |\n| `2.12` | `0.27` | `>=3.10`, `<=3.14` |\n| `2.11` | `0.26` | `>=3.10`, `<=3.14` |\n| `2.10` | `0.25` | `>=3.10`, `<=3.14` |\n\n\n<details>\n <summary>older versions</summary>\n\n| `torch` | `torchvision` | Python |\n|---------|-------------------|---------------------------|\n| `2.9` | `0.24` | `>=3.10`, `<=3.14` |\n| `2.8` | `0.23` | `>=3.9`, `<=3.13` |\n| `2.7` | `0.22` | `>=3.9`, `<=3.13` |\n| `2.6` | `0.21` | `>=3.9`, `<=3.12` |\n| `2.5` | `0.20` | `>=3.9`, `<=3.12` |\n| `2.4` | `0.19` | `>=3.8`, `<=3.12` |\n| `2.3` | `0.18` | `>=3.8`, `<=3.12` |\n| `2.2` | `0.17` | `>=3.8`, `<=3.11` |\n| `2.1` | `0.16` | `>=3.8`, `<=3.11` |\n| `2.0` | `0.15` | `>=3.8`, `<=3.11` |\n| `1.13` | `0.14` | `>=3.7.2`, `<=3.10` |\n| `1.12` | `0.13` | `>=3.7`, `<=3.10` |\n| `1.11` | `0.12` | `>=3.7`, `<=3.10` |\n| `1.10` | `0.11` | `>=3.6`, `<=3.9` |\n| `1.9` | `0.10` | `>=3.6`, `<=3.9` |\n| `1.8` | `0.9` | `>=3.6`, `<=3.9` |\n| `1.7` | `0.8` | `>=3.6`, `<=3.9` |\n| `1.6` | `0.7` | `>=3.6`, `<=3.8` |\n| `1.5` | `0.6` | `>=3.5`, `<=3.8` |\n| `1.4` | `0.5` | `==2.7`, `>=3.5`, `<=3.8` |\n| `1.3` | `0.4.2` / `0.4.3` | `==2.7`, `>=3.5`, `<=3.7` |\n| `1.2` | `0.4.1` | `==2.7`, `>=3.5`, `<=3.7` |\n| `1.1` | `0.3` | `==2.7`, `>=3.5`, `<=3.7` |\n| `<=1.0` | `0.2` | `==2.7`, `>=3.5`, `<=3.7` |\n\n</details>\n\n## Image Backends\n\nTorchvision currently supports the following image backends:\n\n- torch tensors\n- PIL images:\n - [Pillow](https://python-pillow.org/)\n - [Pillow-SIMD](https://github.com/uploadcare/pillow-simd) - a **much faster** drop-in replacement for Pillow with SIMD.\n\nRead more in in our [docs](https://pytorch.org/vision/stable/transforms.html).\n\n## Documentation\n\nYou can find the API documentation on the pytorch website: <https://pytorch.org/vision/stable/index.html>\n\n## Contributing\n\nSee the [CONTRIBUTING](CONTRIBUTING.md) file for how to help out.\n\n## Disclaimer on Datasets\n\nThis is a utility library that downloads and prepares public datasets. We do not host or distribute these datasets,\nvouch for their quality or fairness, or claim that you have license to use the dataset. It is your responsibility to\ndetermine whether you have permission to use the dataset under the dataset's license.\n\nIf you're a dataset owner and wish to update any part of it (description, citation, etc.), or do not want your dataset\nto be included in this library, please get in touch through a GitHub issue. Thanks for your contribution to the ML\ncommunity!\n\n## Pre-trained Model License\n\nThe pre-trained models provided in this library may have their own licenses or terms and conditions derived from the\ndataset used for training. It is your responsibility to determine whether you have permission to use the models for your\nuse case.\n\nMore specifically, SWAG models are released under the CC-BY-NC 4.0 license. See\n[SWAG LICENSE](https://github.com/facebookresearch/SWAG/blob/main/LICENSE) for additional details.\n\n## Citing TorchVision\n\nIf you find TorchVision useful in your work, please consider citing the following BibTeX entry:\n\n```bibtex\n@software{torchvision2016,\n title = {TorchVision: PyTorch's Computer Vision library},\n author = {TorchVision maintainers and contributors},\n year = 2016,\n journal = {GitHub repository},\n publisher = {GitHub},\n howpublished = {\\url{https://github.com/pytorch/vision}}\n}\n```\n", |
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| "licensing_note": "The pinned upstream repository is BSD-3-Clause. Its original LICENSE is copied unchanged. File-specific declared license exceptions and copyright notices remain in record metadata/ATTRIBUTIONS.jsonl. Model weights, datasets, images and external linked repositories are not included. Main-branch scripts are not certified compatible with the local torch 2.6 / torchvision 0.21 environment.", |
| "attribution": "Soumith Chintala and Torchvision contributors. Original upstream LICENSE/copyright text is preserved." |
| }, |
| { |
| "id": "aifaultbench", |
| "repo": "mehilshah/AIFaultBench", |
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| "license_summary": "CC BY 4.0 reproduction scripts/metadata; original reports excluded", |
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| "upstream_card": "---\npretty_name: AIFaultBench\nlicense: cc-by-4.0\nlanguage:\n - en\n - code\nsize_categories:\n - n<1K\ntask_categories:\n - other\ntags:\n - software-engineering\n - bug-reproduction\n - fault-localization\n - automated-program-repair\n - debugging\n - benchmark\n - machine-learning\n - deep-learning\n - llm-infrastructure\n - agentic-ai\n - reinforcement-learning\n - msr\n - mining-software-repositories\nconfigs:\n - config_name: default\n data_files:\n - split: train\n path: index.csv\n--- \n\n# AIFaultBench: A Benchmark of Real-World Faults in AI Software Systems\n\n[](https://zenodo.org/records/21782307)\n[](https://huggingface.co/datasets/mehilshah/AIFaultBench)\n[](https://zenodo.org/records/21763203) \n\nAIFaultBench is a benchmark of **770 real-world AI software faults** collected from **105 open-source repositories** across **76 organizations**, spanning traditional machine learning, deep learning, large language model infrastructure, reinforcement learning, agentic AI systems, and AI tooling.\n\nEach fault includes everything needed for reproduction:\n\n* GitHub issue report\n* Minimal reproduction script\n* Dependency specification\n* Codebase reconstruction script\n* Environment setup script\n* Reproduction logs\n* Structured metadata\n* Reproduction trajectory\n\n**652 (85%) faults are verified reproducible**, while the remaining faults include documented reasons preventing reproduction.\n\n| Bugs | Reproducible | Repositories | Organizations | Domains |\n| ---: | -----------: | -----------: | ------------: | ------: |\n| 770 | 652 | 105 | 76 | 6 |\n\n---\n\n## Dataset Overview\n\n| Domain | Bugs | Reproducible |\n| ---------------------- | ---: | -----------: |\n| Deep Learning | 307 | 83% |\n| LLM Infrastructure | 151 | 75% |\n| Agentic AI | 130 | 92% |\n| Machine Learning | 118 | 86% |\n| Reinforcement Learning | 40 | 92% |\n| AI Tooling | 24 | 100% |\n\n---\n\n## Repository Structure\n\n```\n.\n\u251c\u2500\u2500 index.json\n\u251c\u2500\u2500 index.csv\n\u251c\u2500\u2500 consume_dataset.ipynb\n\u251c\u2500\u2500 bugs/\n\u2502 \u2514\u2500\u2500 <bug_id>/\n\u2502 \u251c\u2500\u2500 bug_report.txt\n\u2502 \u251c\u2500\u2500 repro.py\n\u2502 \u251c\u2500\u2500 requirements.txt\n\u2502 \u251c\u2500\u2500 setup_codebase.sh\n\u2502 \u251c\u2500\u2500 setup_env.sh\n\u2502 \u251c\u2500\u2500 run_repro.sh\n\u2502 \u251c\u2500\u2500 reproduction.json\n\u2502 \u251c\u2500\u2500 reproduction_trajectory.md\n\u2502 \u2514\u2500\u2500 logs/\n```\n\nThe benchmark is indexed through both `index.json` and `index.csv`, while each bug is packaged independently inside `bugs/<bug_id>`.\n\n---\n\n## Quick Start\n\nReproducing a fault requires only Git, Python, and a POSIX-compatible shell.\n\n```bash\ncd bugs/<bug_id>\nbash setup_codebase.sh\nbash run_repro.sh\n```\n\nThe scripts automatically\n\n* reconstruct the buggy codebase,\n* create an isolated Python environment,\n* install dependencies,\n* execute the reproduction script.\n\nNo Docker or API credentials are required.\n\n---\n\n## Loading the Dataset\n\n```python\nimport json\n\nbugs = json.load(open(\"index.json\"))\n\nreproducible = [b for b in bugs if b[\"reproducible\"]]\nagentic = [b for b in bugs if b[\"domain\"] == \"Agentic\"]\n```\n\nThe index is also exposed through the Hugging Face dataset viewer:\n\n```python\nfrom datasets import load_dataset\n\nindex = load_dataset(\"mehilshah/AIFaultBench\", split=\"train\")\n```\n\nNote that `bug_id` is a zero-padded three-digit string (`001`, \u2026, `774`) that names the\ndirectory under `bugs/`. The CSV loader parses it as an integer, so pad it back before\nbuilding a path:\n\n```python\npath = f\"bugs/{int(row['bug_id']):03d}\"\n```\n\nLoading `index.json` directly preserves the identifier as a string.\n\nFor a complete walkthrough, see `consume_dataset.ipynb`.\n\n---\n\n## Package Contents\n\nEach bug contains\n\n* original GitHub issue\n* minimal reproduction script\n* dependency specification\n* environment setup\n* codebase reconstruction\n* execution logs\n* structured reproduction metadata\n* reproduction trajectory\n\nTogether, these provide a fully executable reproduction package suitable for evaluating debugging, fault localization, automated repair, bug reproduction, and AI software engineering tools.\n\n---\n\n## Citation\n\n```bibtex\n@misc{AIFaultBench_2026,\n title={AIFaultBench: A Reproducible Benchmark of Real-World AI Software Faults},\n author={Shah, Mehil B and Rahman, Mohammad Masudur and Khomh, Foutse},\n year={2026},\n doi={10.5281/zenodo.21782307},\n url={https://zenodo.org/records/21782307}\n}\n```\n\n---\n\n## License\n\nThe reproduction scripts, metadata, and benchmark packaging are released under\n[CC BY 4.0](LICENSE).\n\nEach original bug report and source repository remains under its respective upstream license.", |
| "citation": "cff-version: 1.2.0\nmessage: \"If you use AIFaultBench, please cite it as below.\"\ntype: dataset\ntitle: \"AIFaultBench: A Reproducible Benchmark of Real-World AI Software Faults\"\nabstract: >-\n AIFaultBench is a benchmark of 770 real-world AI software faults collected from\n 105 open-source repositories across 76 organizations, spanning traditional\n machine learning, deep learning, large language model infrastructure,\n reinforcement learning, agentic AI systems, and AI tooling. Each fault ships\n with the original GitHub issue report, a minimal reproduction script, a\n dependency specification, codebase reconstruction and environment setup\n scripts, reproduction logs, structured metadata, and a reproduction\n trajectory. 652 of the 770 faults (85%) are verified reproducible; the\n remainder document the reasons preventing reproduction.\nauthors:\n - family-names: Shah\n given-names: \"Mehil B.\"\n email: shahmehil@dal.ca\n affiliation: \"Dalhousie University\"\n - family-names: Rahman\n given-names: \"Mohammad Masudur\"\n affiliation: \"Dalhousie University\"\n - family-names: Khomh\n given-names: Foutse\n affiliation: \"Polytechnique Montr\u00e9al\"\ndoi: 10.5281/zenodo.21763133\nidentifiers:\n - type: doi\n value: 10.5281/zenodo.21763133\n description: \"Version DOI for v1.1.\"\n - type: doi\n value: 10.5281/zenodo.21763132\n description: \"Concept DOI \u2014 always resolves to the latest version.\"\nurl: \"https://zenodo.org/records/21763203\"\nrepository-code: \"https://github.com/mehilshah/AIFaultBench\"\nrepository-artifact: \"https://huggingface.co/datasets/mehilshah/AIFaultBench\"\nlicense: CC-BY-4.0\nversion: v1.1\ndate-released: 2026-08-02\nkeywords:\n - benchmark\n - software engineering\n - bug reproduction\n - fault localization\n - automated program repair\n - debugging\n - machine learning\n - deep learning\n - large language models\n - agentic AI\n - reinforcement learning\n - mining software repositories\n", |
| "index": [ |
| { |
| "bug_id": "001", |
| "library": "models", |
| "repository": "tensorflow/models", |
| "domain": "DL", |
| "issue_url": "https://github.com/tensorflow/models/issues/166", |
| "commit": "05630a7578b25390f469b2f91f2c2326e5ed539b", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "002", |
| "library": "models", |
| "repository": "tensorflow/models", |
| "domain": "DL", |
| "issue_url": "https://github.com/tensorflow/models/issues/13517", |
| "commit": "1bdb87d92d40e8f63285dafb6803139e25a59baf", |
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| { |
| "bug_id": "003", |
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| { |
| "bug_id": "004", |
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| "issue_url": "https://github.com/tensorflow/models/issues/13490", |
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| { |
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| "issue_url": "https://github.com/tensorflow/models/issues/11206", |
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| "blocking_reason": "The reported failure is not reproducible on this host. The issue appears to depend on a different platform or wheel combination than the one available here; the local Linux/Python 3.12 environment imports tf_keras successfully." |
| }, |
| { |
| "bug_id": "006", |
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| "issue_url": "https://github.com/tensorflow/models/issues/11134", |
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| { |
| "bug_id": "008", |
| "library": "models", |
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| "issue_url": "https://github.com/tensorflow/models/issues/11141", |
| "commit": "5c0617a8f3041bfa97db45748050b9c254cb95d6", |
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| { |
| "bug_id": "009", |
| "library": "models", |
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| "issue_url": "https://github.com/tensorflow/models/issues/11133", |
| "commit": "e923b8aa3b066c02432ffdb7d5fd93d465b6eaa5", |
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| "blocking_reason": "TensorFlow is not installed in this workspace, so the exporter runtime path cannot be executed here." |
| }, |
| { |
| "bug_id": "010", |
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| "repository": "tensorflow/models", |
| "domain": "DL", |
| "issue_url": "https://github.com/tensorflow/models/issues/11117", |
| "commit": "19ce8ecda0732e52d943ccdf540a5659d103c2fc", |
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| { |
| "bug_id": "011", |
| "library": "models", |
| "repository": "tensorflow/models", |
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| "issue_url": "https://github.com/tensorflow/models/issues/11121", |
| "commit": "e4afd05425bc5a6a74e1b1163cdeacd2e7437174", |
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| "blocking_reason": "In this Python 3.11 + TensorFlow 2.20 environment, the bundled snapshot does not reproduce the reported NaN loss. The run stays finite and finishes 100 training steps; the behavior differs from the issue report." |
| }, |
| { |
| "bug_id": "012", |
| "library": "models", |
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| "issue_url": "https://github.com/tensorflow/models/issues/11112", |
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| "blocking_reason": "The exact TensorFlow nightly from the issue report cannot be installed in this environment, and the closest installable stable wheel set keeps `tf_keras.optimizers.legacy.Optimizer` present." |
| }, |
| { |
| "bug_id": "013", |
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| "issue_url": "https://github.com/tensorflow/models/issues/11087", |
| "commit": "1900bc561292177818dfb73946474e79078098ff", |
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| { |
| "bug_id": "014", |
| "library": "models", |
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| "issue_url": "https://github.com/tensorflow/models/issues/11076", |
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| { |
| "bug_id": "015", |
| "library": "models", |
| "repository": "tensorflow/models", |
| "domain": "DL", |
| "issue_url": "https://github.com/tensorflow/models/issues/11058", |
| "commit": "9a2993d140841f37d73cded94c1295da4faab8b5", |
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| { |
| "bug_id": "016", |
| "library": "models", |
| "repository": "tensorflow/models", |
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| "issue_url": "https://github.com/tensorflow/models/issues/11042", |
| "commit": "abb7ed6a4628118042876c17ba48c559e0fb5025", |
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| "blocking_reason": "The standardized folder does not provide the hardware or cluster topology required to measure multi-node GPU throughput, and the repo's checked-in resnet gpu.yaml is single-worker mirrored rather than the multi_worker_mirrored configuration described in the report." |
| }, |
| { |
| "bug_id": "017", |
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| "issue_url": "https://github.com/tensorflow/models/issues/11038", |
| "commit": "272c3fab3557a09d4fa4260418836f74d7c4a503", |
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| "blocking_reason": "The current checkout does not reproduce the reported TF1-era empty-tensor behavior; the TF2 SavedModel inference path returns populated detections on the local sample image." |
| }, |
| { |
| "bug_id": "018", |
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| "issue_url": "https://github.com/tensorflow/models/issues/11035", |
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| { |
| "bug_id": "019", |
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| "issue_url": "https://github.com/tensorflow/models/issues/11018", |
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| { |
| "bug_id": "020", |
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| "issue_url": "https://github.com/tensorflow/models/issues/10986", |
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| { |
| "bug_id": "021", |
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| "issue_url": "https://github.com/tensorflow/models/issues/10947", |
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| "bug_id": "022", |
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| "issue_url": "https://github.com/tensorflow/models/issues/10980", |
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| "bug_id": "023", |
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| "blocking_reason": "The reported notebook import failure is not reproducible here after installing the required packages; the import cell succeeds." |
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| { |
| "bug_id": "024", |
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| "issue_url": "https://github.com/tensorflow/models/issues/10852", |
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| { |
| "bug_id": "025", |
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| "issue_url": "https://github.com/tensorflow/models/issues/10860", |
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| { |
| "bug_id": "028", |
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| "issue_url": "https://github.com/pytorch/examples/issues/1175", |
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| "issue_url": "https://github.com/pytorch/examples/issues/1134", |
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| "bug_id": "030", |
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| "blocking_reason": "The local fairseq snapshot already contains the fix: both relative-position bias parameters are initialized with Xavier uniform after allocation, so the uninitialized-bias behavior from the issue report is not present." |
| }, |
| { |
| "bug_id": "050", |
| "library": "keras-io", |
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| "commit": "3e3467de2b61a5af6291dcf860089885614d58ad", |
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| "blocking_reason": "The exact issue-specific Keras dev build is not available on PyPI, and the closest installable stack (TensorFlow 2.16.1 + Keras 3.1.0) does not reproduce the bug here." |
| }, |
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| "commit": "6623a072e7eef484c3defa44dc16d824eac434cb", |
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| "commit": "b124d091b3ee87b6ae6b10ed2707be18e647c81d", |
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| { |
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| "commit": "789daa2f7a487771723de298aa3d0c7d87236d42", |
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| "blocking_reason": "The environment cannot access the GPU execution path described in the report because TensorFlow 2.15.0 falls back to CPU after failing to dlopen CUDA libraries, and the sampler path completes normally on CPU." |
| }, |
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| { |
| "bug_id": "059", |
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| "issue_url": "https://github.com/keras-team/keras-io/issues/1593", |
| "commit": "26caa1591220a6469d8ecc508ca89f211681746c", |
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| { |
| "bug_id": "060", |
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| "repository": "keras-team/keras-io", |
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| "bug_id": "062", |
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| "bug_id": "063", |
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| { |
| "bug_id": "064", |
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| { |
| "bug_id": "065", |
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| "issue_url": "https://github.com/keras-team/keras-io/issues/1194", |
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| "bug_id": "066", |
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| "bug_id": "067", |
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| "blocking_reason": "The reported shape issue is not reproducible in this environment because the current TensorFlow build accepts the extra singleton label dimension and computes the same loss as the squeezed labels." |
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| "bug_id": "068", |
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| { |
| "bug_id": "069", |
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| "bug_id": "070", |
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| "bug_id": "071", |
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| "bug_id": "072", |
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| { |
| "bug_id": "073", |
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| "bug_id": "074", |
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| "bug_id": "075", |
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| "blocking_reason": "The reported ParquetConfig.__init__() unexpected keyword argument 'token' error does not reproduce with the closest compatible package set available in this folder; both the wikitext and parquet token-loading paths succeed." |
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| "bug_id": "076", |
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| "bug_id": "078", |
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| "bug_id": "079", |
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| "bug_id": "080", |
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| "bug_id": "081", |
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| "bug_id": "082", |
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| "bug_id": "083", |
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| "bug_id": "084", |
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| "bug_id": "085", |
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| "bug_id": "087", |
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| "bug_id": "088", |
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| "issue_url": "https://github.com/lucidrains/x-transformers/issues/290", |
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| "bug_id": "089", |
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| "bug_id": "090", |
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| { |
| "bug_id": "091", |
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| "issue_url": "https://github.com/lucidrains/x-transformers/issues/271", |
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| { |
| "bug_id": "092", |
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| "commit": "02b0190aa21ceb7688baa4bd40e6a4a3b9880446", |
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| "blocking_reason": "The bug does not reproduce in this checkout: the decoder output is finite under the reported masking condition." |
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| { |
| "bug_id": "093", |
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| "commit": "aa380f17b6f1e762604278ad2cd9b6ecc804f35e", |
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| "blocking_reason": "The current local checkout does not trigger the reported failure; the model forward pass succeeds." |
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| { |
| "bug_id": "094", |
| "library": "PaLM-rlhf-pytorch", |
| "repository": "lucidrains/PaLM-rlhf-pytorch", |
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| "issue_url": "https://github.com/lucidrains/PaLM-rlhf-pytorch/issues/46", |
| "commit": "e624afd8860d6df8f7a429dbe518a2fd40b4cc34", |
| "reproducible": false, |
| "blocking_reason": "The local checkout does not exhibit the reported unused-parameter behavior; norm.gamma receives gradients in both plain and DDP-backed backward passes." |
| }, |
| { |
| "bug_id": "095", |
| "library": "denoising-diffusion-pytorch", |
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| "domain": "DL", |
| "issue_url": "https://github.com/lucidrains/denoising-diffusion-pytorch/issues/292", |
| "commit": "840d3ffd3b64276250faec2ec612e13847f69894", |
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| { |
| "bug_id": "096", |
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| "issue_url": "https://github.com/lucidrains/denoising-diffusion-pytorch/issues/286", |
| "commit": "242e4b63dad7d5d9d0bf4f465f861f98dfba918d", |
| "reproducible": false, |
| "blocking_reason": "Not reproducible here on the available stable torch builds; the reported inference-mode autograd failure did not occur." |
| }, |
| { |
| "bug_id": "097", |
| "library": "denoising-diffusion-pytorch", |
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| "issue_url": "https://github.com/lucidrains/denoising-diffusion-pytorch/issues/262", |
| "commit": "7558d3f59962a9287bd524c464b2edef0e6fae76", |
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| "bug_id": "098", |
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| "domain": "DL", |
| "issue_url": "https://github.com/lucidrains/denoising-diffusion-pytorch/issues/249", |
| "commit": "fd5e62f7054f65dacd211713d29cc819b9f3378d", |
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| { |
| "bug_id": "099", |
| "library": "rotary-embedding-torch", |
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| "domain": "DL", |
| "issue_url": "https://github.com/lucidrains/rotary-embedding-torch/issues/24", |
| "commit": "cd0971297a26ec557ad0c65a6d9e4e1ffca8ae89", |
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| "bug_id": "100", |
| "library": "rotary-embedding-torch", |
| "repository": "lucidrains/rotary-embedding-torch", |
| "domain": "DL", |
| "issue_url": "https://github.com/lucidrains/rotary-embedding-torch/issues/18", |
| "commit": "2da4a529854ba272535e40193177ee906ce1961b", |
| "reproducible": false, |
| "blocking_reason": "The checked-in code already avoids caching trainable frequencies, so the reported autograd reuse error does not occur in this snapshot." |
| }, |
| { |
| "bug_id": "101", |
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| "repository": "lucidrains/rotary-embedding-torch", |
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| "issue_url": "https://github.com/lucidrains/rotary-embedding-torch/issues/8", |
| "commit": "22cac59a55ae25cd06b4522d891278aedd929184", |
| "reproducible": true, |
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| { |
| "bug_id": "102", |
| "library": "vector-quantize-pytorch", |
| "repository": "lucidrains/vector-quantize-pytorch", |
| "domain": "DL", |
| "issue_url": "https://github.com/lucidrains/vector-quantize-pytorch/issues/191", |
| "commit": "ac5d63174dd234ab75259a68a4ab246774863f6e", |
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| { |
| "bug_id": "103", |
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| "repository": "lucidrains/vector-quantize-pytorch", |
| "domain": "DL", |
| "issue_url": "https://github.com/lucidrains/vector-quantize-pytorch/issues/188", |
| "commit": "59a30b68a83be710638184764c025b54693c82cc", |
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| "bug_id": "104", |
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| "issue_url": "https://github.com/lucidrains/vector-quantize-pytorch/issues/160", |
| "commit": "54d29e8fba72443a29928e9f94ee52ca43eeb60a", |
| "reproducible": true, |
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| { |
| "bug_id": "105", |
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| "repository": "lucidrains/vector-quantize-pytorch", |
| "domain": "DL", |
| "issue_url": "https://github.com/lucidrains/vector-quantize-pytorch/issues/142", |
| "commit": "133f7386df6cf83345bb7cddca741d0364753af1", |
| "reproducible": false, |
| "blocking_reason": "The reported RuntimeError did not reproduce in this environment during the local single-process stress run." |
| }, |
| { |
| "bug_id": "106", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
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| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2282", |
| "commit": "6ab2af610db6cfafa505589419894c2dd34d59fc", |
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| { |
| "bug_id": "107", |
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| "issue_url": "https://github.com/adapter-hub/adapters/issues/748", |
| "commit": "6fefc9a5f421de67def72a0761e7f158608838cc", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "108", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/42502", |
| "commit": "cac0a28c83cf87b7a05495de3177099c635ba852", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "109", |
| "library": "adapters", |
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| "domain": "DL", |
| "issue_url": "https://github.com/adapter-hub/adapters/issues/794", |
| "commit": "326d071c4dc41ab05f2a0f520813e9f4f5032979", |
| "reproducible": true, |
| "blocking_reason": "" |
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| { |
| "bug_id": "110", |
| "library": "safetensors", |
| "repository": "huggingface/safetensors", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/safetensors/issues/492", |
| "commit": "079781fd0dc455ba0fe851e2b4507c33d0c0d407", |
| "reproducible": true, |
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| }, |
| { |
| "bug_id": "111", |
| "library": "pygad", |
| "repository": "ahmedfgad/GeneticAlgorithmPython", |
| "domain": "ML", |
| "issue_url": "https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/335", |
| "commit": "9ac7527bc09960a59d470b07e7ae1d664b3cbf10", |
| "reproducible": true, |
| "blocking_reason": "" |
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| { |
| "bug_id": "112", |
| "library": "albumentations", |
| "repository": "albumentations-team/albumentations", |
| "domain": "DL", |
| "issue_url": "https://github.com/albumentations-team/albumentations/issues/2527", |
| "commit": "218d663bf80816a588fe8a922f5e79c8c0353587", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "113", |
| "library": "einops", |
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| "reproducible": false, |
| "blocking_reason": "The local repository is open-source SDV 1.37.3.dev1 and does not contain the enterprise `ColumnFormula` constraint or an `sdv.cag.sandbox` module, so the reported crash cannot be exercised from this source tree." |
| }, |
| { |
| "bug_id": "280", |
| "library": "POT", |
| "repository": "PythonOT/POT", |
| "domain": "ML", |
| "issue_url": "https://github.com/PythonOT/POT/issues/418", |
| "commit": "0411ea22a96f9c22af30156b45c16ef39ffb520d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "281", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10703", |
| "commit": "fae65964d712b1c93d620e23237a18b2f3ffaa9e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "282", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/39145", |
| "commit": "3147de52286b807368fd9429844e50e16d8d7cc7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "283", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/47332", |
| "commit": "498d6e984e84d29186e671656817a53a024af930", |
| "reproducible": false, |
| "blocking_reason": "The current codebase already handles saving a mixed CPU/disk-offloaded Qwen3VL model, so the reported meta-tensor failure does not occur here." |
| }, |
| { |
| "bug_id": "284", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/14146", |
| "commit": "208704a27a6f362b67cd1a04fa1db0b98036d26f", |
| "reproducible": false, |
| "blocking_reason": "The reported failure is specific to ROCm/gfx1201, but this environment is not running a ROCm build of PyTorch, so the actual image-corruption behavior cannot be exercised here." |
| }, |
| { |
| "bug_id": "285", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21804", |
| "commit": "4819088b0c6838f0d878b30050d59003305924b8", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "286", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/3502", |
| "commit": "67adb473a4d96652fb1b38fb2617f01eacf9481f", |
| "reproducible": false, |
| "blocking_reason": "This machine only exposes 1 CUDA device, but the reported failure requires a 4-process multi-GPU launch. The exact 4-GPU prepare path cannot be exercised here." |
| }, |
| { |
| "bug_id": "287", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/8003", |
| "commit": "a7811998498f9d1a8f869af7dab04a46e4ba2c65", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "288", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/48592", |
| "commit": "0a9396a25e3c2c399cde4f748ca6b2209b9dafe7", |
| "reproducible": false, |
| "blocking_reason": "The checkout does not reproduce the issue report's exact `vllm serve` crash because the repository version already guards the `torchcodec` import in `vllm/multimodal/video.py`, and the local environment fails earlier when importing `vllm` due an unrelated `torch`/`vLLM` incompatibility." |
| }, |
| { |
| "bug_id": "289", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/2477", |
| "commit": "7dcdf7b311007b90ab085bb5dcd69f10ff32a30c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "290", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2691", |
| "commit": "af354f6a671083624482df637c0252f0504e5e87", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "291", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/3591", |
| "commit": "dfe8d368c8b7cc2be42c5c3faf9bdcc3c08257b1", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "292", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3881", |
| "commit": "6364a19bc97efadd62c9302a56e854e2c90d5edf", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "293", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2174", |
| "commit": "0152376a197af90d0ce5198f8375e03069f29f48", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "294", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3365", |
| "commit": "ca36025a3502c0160395b53145d2e95b56eaf15f", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "295", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2868", |
| "commit": "2995df37bbc723fdffa6d91a86d143fd13dc63ce", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "296", |
| "library": "POT", |
| "repository": "PythonOT/POT", |
| "domain": "ML", |
| "issue_url": "https://github.com/PythonOT/POT/issues/117", |
| "commit": "a9bbc2cfdffd22ceee3256102e470df6c25338f3", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "297", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10629", |
| "commit": "b783d593d4a63472a1f67d95855d54dcd75a74f8", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "298", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/39109", |
| "commit": "5279767b48b562d0a26428b4b43b5383dfa895f3", |
| "reproducible": false, |
| "blocking_reason": "The checked-out JAX source already contains the NaN-handling behavior fix for `jax.numpy.heaviside`, so the reported bug does not reproduce in this folder." |
| }, |
| { |
| "bug_id": "299", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/47277", |
| "commit": "63f32a8782cb70da3365acab16f2b67947737985", |
| "reproducible": false, |
| "blocking_reason": "The reported failure depends on the Android/Termux aarch64 build stack with clang++ and libc++ headers; this folder is running on Linux x86_64 without that toolchain." |
| }, |
| { |
| "bug_id": "300", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/14117", |
| "commit": "72eb60c2dad62e44777b5344f21705c6d47bf97f", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "301", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21778", |
| "commit": "fe6b1cc4e80ae0396e2e404c16e6b6968ad5437e", |
| "reproducible": false, |
| "blocking_reason": "This checkout is using `torch 2.13.0+cu130`, which does not reproduce the torch 2.5+/2.6 CPU guard described in the report. The reported `RuntimeError: FSDP needs a non-CPU accelerator device` does not occur here." |
| }, |
| { |
| "bug_id": "302", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/3487", |
| "commit": "63168b151fa15987064a22c77b8b8ec72946f54e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "303", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7971", |
| "commit": "0ba235294fcbe35f5c42681bd85666dff5c48a93", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "304", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/48324", |
| "commit": "4a6440acefbd4d977620bdb6dfb7fb325cd9bda7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "305", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/2381", |
| "commit": "1e2d6b5832401e07e917604dfb080ec474818f2b", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "306", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2682", |
| "commit": "a94c10fce182362e26e128e1b51863dff2a1d558", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "307", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/3486", |
| "commit": "ce5b1c5afe93919d14adf0fef27d608300a5171e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "308", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3870", |
| "commit": "52cf596100dc2d0e6d678835fe05d88dc8584fd9", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "309", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2161", |
| "commit": "0fcf1218c27e7f562cc1f1bae8d9d3c1f9c7d52e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "310", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3341", |
| "commit": "490a7ff332f65700dd1b43802502f506b8390da3", |
| "reproducible": false, |
| "blocking_reason": "The local codebase already contains the PyroModuleList fix and the corresponding regression test, so the historical failure from issue #3341 is not present here." |
| }, |
| { |
| "bug_id": "311", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2856", |
| "commit": "5b85738576fc67e7be37d66328dab839841db3ff", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "312", |
| "library": "POT", |
| "repository": "PythonOT/POT", |
| "domain": "ML", |
| "issue_url": "https://github.com/PythonOT/POT/issues/82", |
| "commit": "c5108efc7b6702e1af3928bef1032e6b37734d1c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "313", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10548", |
| "commit": "44dee49ad88cf5253e8092cfce3e453c00bc8c3e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "314", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/39108", |
| "commit": "6d9a2a2a2fc6a586404ee29ea665bc5b2adfa13f", |
| "reproducible": false, |
| "blocking_reason": "The local codebase is newer than the buggy release and requires `jaxlib >= 0.10.2`; with the supported 0.10.2 wheel the issue is already fixed, and the older 0.10.1 wheel from the report is rejected by the version gate." |
| }, |
| { |
| "bug_id": "315", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/47276", |
| "commit": "63f32a8782cb70da3365acab16f2b67947737985", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "316", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/14114", |
| "commit": "72eb60c2dad62e44777b5344f21705c6d47bf97f", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "317", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21757", |
| "commit": "35e56ef93582c60c8ec5ca2bf1025e7c414d6bb6", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "318", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/3486", |
| "commit": "63168b151fa15987064a22c77b8b8ec72946f54e", |
| "reproducible": false, |
| "blocking_reason": "Only one physical GPU is visible in this environment, so the multi-rank FSDP2 launch needed to reach the reported bug fails first with NCCL duplicate-GPU errors. The CPU probe path also succeeds, so the original DeviceMesh assertion is not reproducible here." |
| }, |
| { |
| "bug_id": "319", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7942", |
| "commit": "2f0924a55de959f88d09451b19b1dac20ac4301a", |
| "reproducible": false, |
| "blocking_reason": "The full DeepCompile/Qwen2Moe stack is not runnable in this machine; the bundled fallback only reproduces the embedding-shape failure mode." |
| }, |
| { |
| "bug_id": "320", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/48217", |
| "commit": "e5588e49bc2642670116664a7fc4096e27adb179", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "321", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/2184", |
| "commit": "b3176eff49574057d91445e23a0d2f50706f05de", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "322", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2663", |
| "commit": "9171d82efc525766706a00cd3d1f292af12f910a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "323", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/3405", |
| "commit": "05bc8439ca10e11300d9d34e4fe0dd1d3f42773a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "324", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3840", |
| "commit": "a1a107003252a3ab2a0830702d21b7f46caff6d7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "325", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2146", |
| "commit": "78c366530db3c26075a63dba370ad002b17b006a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "326", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3314", |
| "commit": "1a11185ce54a2391348bec5919f3330d957d2f98", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "327", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2855", |
| "commit": "5b85738576fc67e7be37d66328dab839841db3ff", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "328", |
| "library": "POT", |
| "repository": "PythonOT/POT", |
| "domain": "ML", |
| "issue_url": "https://github.com/PythonOT/POT/issues/24", |
| "commit": "a29e22db4772ebc4a8266c917e2e662f624c6baa", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "329", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10505", |
| "commit": "76ff9c2ce18c8cebf52122b57e2aeadce9793d10", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "330", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/39089", |
| "commit": "4f484c50b83d2f7bc779b23a37cd851409324e78", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "331", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/47228", |
| "commit": "0bc355418bb265136a66c2dedc501066ffbc237d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "332", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/14103", |
| "commit": "26ec30e8add5faec242aed6a4bfe0d23a6e9befd", |
| "reproducible": false, |
| "blocking_reason": "The reported processor overwrite does not occur in this checkout; the injected custom wrapper is preserved across the forward pass." |
| }, |
| { |
| "bug_id": "333", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21740", |
| "commit": "5f98958cb133c0b9e50831cc4f66ced2404c6729", |
| "reproducible": false, |
| "blocking_reason": "This standardized folder does not include Git history or a remote repository checkout, so a tag-mutation issue on GitHub cannot be reproduced locally." |
| }, |
| { |
| "bug_id": "334", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/3485", |
| "commit": "63168b151fa15987064a22c77b8b8ec72946f54e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "335", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7925", |
| "commit": "62c3e6d8d7b28f6554548e87a5fdc8f05f0fbbb8", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "336", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/48124", |
| "commit": "b83be00cddf03387bf740acfe6b9ca07ec1a3c08", |
| "reproducible": false, |
| "blocking_reason": "The checked-in DeepSeek V2 implementation already includes the post-loop end-layer aux hidden-state capture that the bug report proposes." |
| }, |
| { |
| "bug_id": "337", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/1999", |
| "commit": "41c274ecac6247a63e3b10f8536904f3ead82213", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "338", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2616", |
| "commit": "ae4d1bbfefab7e4f2f49a744838a2d9c7713146d", |
| "reproducible": false, |
| "blocking_reason": "The reported NaN failure did not reproduce in this environment. The compiled run stayed numerically stable through the full test window." |
| }, |
| { |
| "bug_id": "339", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/3227", |
| "commit": "bb44e10a93d3c136760d6d31d387f600429e1c61", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "340", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3804", |
| "commit": "62a5fc474f255b0c78b337d9f4abf4428148c5c5", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "341", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2132", |
| "commit": "43fa32ce00c293367ebafbfc4a047840906dcb8b", |
| "reproducible": false, |
| "blocking_reason": "The reported slowdown did not reproduce here; the same-object path was roughly equal to or slightly faster than the fresh num_warmup=0 path." |
| }, |
| { |
| "bug_id": "342", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3301", |
| "commit": "a14fabc980ef115f499c89ffb242cbba8555e824", |
| "reproducible": false, |
| "blocking_reason": "The restored local code snapshot already includes the fixed binary-logit handling in pyro/distributions/zero_inflated.py, so the reported bug is not present here." |
| }, |
| { |
| "bug_id": "343", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2852", |
| "commit": "db5bcb22a86ca2a1f790f531f0df4a7bd6cc737d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "344", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10497", |
| "commit": "125202736759d37ec1bc1ce8f4de67d6ddc9c8b0", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "345", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38969", |
| "commit": "7b6de017d4ca3f405d630eb59ec6c111cf7ded4c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "346", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/47116", |
| "commit": "eee480d59810135f45280f8db99f14d0136bed82", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "347", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/14063", |
| "commit": "21ba39457d0b9b72dc59ef8aec7981c947c59f6b", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "348", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21703", |
| "commit": "78bf0214a0ad7571391619dca952c13988c0dc51", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "349", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/3140", |
| "commit": "5060574827ffcf1055179896cbb4f150caa3aec5", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "350", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7913", |
| "commit": "5f7b687018bd1e0340c661859820fd97aa80a616", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "351", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/48097", |
| "commit": "ab7961a14a59be9a0170f1654315d5c2be44c015", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "352", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/1938", |
| "commit": "52684952136b3dcc1120834f8af2d8f5aaa1c16a", |
| "reproducible": false, |
| "blocking_reason": "The current PEFT snapshot appears to already handle the prefix-tuning past_key_values path." |
| }, |
| { |
| "bug_id": "353", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2613", |
| "commit": "ae4d1bbfefab7e4f2f49a744838a2d9c7713146d", |
| "reproducible": false, |
| "blocking_reason": "The reported bug requires an AMD ROCm runtime/GPU. This folder only has a CPU-only torch build and no ROCm device, so the HIP error cannot be reproduced locally." |
| }, |
| { |
| "bug_id": "354", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/2236", |
| "commit": "137745de04797fa488a2bc86955795e91318b8ee", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "355", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3778", |
| "commit": "996387f029820bf7bd81b333154988388344ced8", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "356", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2130", |
| "commit": "c5fce4e3df4699e3913e0538fe3efffcabbc026b", |
| "reproducible": false, |
| "blocking_reason": "The reported AttributeError is not reproducible in this checkout because the source tree already exports InverseWishart. The only failing import path here is an unrelated JAX API mismatch in numpyro.__init__/numpyro.ops.provenance." |
| }, |
| { |
| "bug_id": "357", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3276", |
| "commit": "c00bcc3fb701327b07e94de88754da49b7f29ebe", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "358", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2849", |
| "commit": "8436e56d4755ec641f9524576d93effff99a3494", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "359", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10399", |
| "commit": "a0f9e8fe469ef50760ae0c9a2702bf8443017b0c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "360", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38813", |
| "commit": "6a19c8b5ae8986e3aba44cb78b4bb024cd1997b2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "361", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/47068", |
| "commit": "b70d02fc724d04c916832ca4ead03ff05e8fb1ee", |
| "reproducible": false, |
| "blocking_reason": "The bug report depends on a distributed sequence-parallel all_gather path with CUDA tensors; the local single-process probe here does not reproduce the Nsight-observed host synchronization." |
| }, |
| { |
| "bug_id": "362", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/14013", |
| "commit": "2d0110f8182d18834d5039b19232e5761023b5f6", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "363", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21693", |
| "commit": "0e20e15f2376f4f356470b08875639a945c43334", |
| "reproducible": false, |
| "blocking_reason": "The current PyPI state differs from the report: `lightning` is installable again, so `whisperx==3.4.3` resolves successfully and the original uninstallable-dependency bug is no longer present in this environment." |
| }, |
| { |
| "bug_id": "364", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/3087", |
| "commit": "5ad982ac517b6e686be6461242313c55755a9dbf", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "365", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7905", |
| "commit": "5f7b687018bd1e0340c661859820fd97aa80a616", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "366", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47956", |
| "commit": "dd127d82ed29c40b7daf6e751add49ff371b1d9d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "367", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/868", |
| "commit": "8c17d556a8fe9522e10d73d7bd3fad46a6ecae14", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "368", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2612", |
| "commit": "ae4d1bbfefab7e4f2f49a744838a2d9c7713146d", |
| "reproducible": false, |
| "blocking_reason": "The bug report describes a PyTorch-version-dependent slowdown, but the only Torch build that can execute on this Blackwell GPU here (2.9.0+cu128) does not show the regression. Older Torch builds in the 2.5/2.8 line were incompatible with sm_120 on this host, so the reported environment-specific slowdown could not be observed." |
| }, |
| { |
| "bug_id": "369", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/2154", |
| "commit": "a2648075f2e76c0fbcef89c84db2319d7b56cc17", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "370", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3711", |
| "commit": "898298dfcd112c337d44523dd1f28bb6b663c1e4", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "371", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2123", |
| "commit": "4fd6c733a82c30b7449c5fff3015f2bcb5cc30b7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "372", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3274", |
| "commit": "c00bcc3fb701327b07e94de88754da49b7f29ebe", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "373", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2839", |
| "commit": "1244df91a41dae7100975d6e4db8253a72b29b66", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "374", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10396", |
| "commit": "a0f9e8fe469ef50760ae0c9a2702bf8443017b0c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "375", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38634", |
| "commit": "faf677af0abec7ea25c7a33831fcabf30a795796", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "376", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/47059", |
| "commit": "b70d02fc724d04c916832ca4ead03ff05e8fb1ee", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "377", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13999", |
| "commit": "7bf00006aa005eae37bcc639fd0f010c183365b4", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "378", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21692", |
| "commit": "0e20e15f2376f4f356470b08875639a945c43334", |
| "reproducible": false, |
| "blocking_reason": "This workspace only contains the clean source checkout; the malicious PyPI wheel artifacts described in the upstream report are not present here, and the affected releases are no longer available from the public index in this environment." |
| }, |
| { |
| "bug_id": "379", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1598", |
| "commit": "e60a4243988a636bda8a6bf99044fb313d5a9e0e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "380", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7885", |
| "commit": "a41a96b19f2b5e75567c85ff9155e4bb09c8e539", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "381", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47935", |
| "commit": "4aceabf8c1a40f8d576ba9b83e4b9a8854eda2d5", |
| "reproducible": false, |
| "blocking_reason": "torch import failed: ImportError: /users/grad/mehil/.local/lib/python3.12/site-packages/torch/lib/libtorch_cuda.so: undefined symbol: ncclCommResume" |
| }, |
| { |
| "bug_id": "382", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/850", |
| "commit": "bbaafc2feff22ba696b517773a96c24443de3678", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "383", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2609", |
| "commit": "ae4d1bbfefab7e4f2f49a744838a2d9c7713146d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "384", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/1207", |
| "commit": "2ca36e3cbfb2c84c18502221564b629f3877e8be", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "385", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3702", |
| "commit": "80381880145591e3546c9bbe850bcbe277d8bfa3", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "386", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3273", |
| "commit": "01ccf3647c1c1031b8a188488f1330b16fb5fd31", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "387", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2826", |
| "commit": "b895858c1e306b64f5debf7adc78bdb2b9c78131", |
| "reproducible": false, |
| "blocking_reason": "This checkout does not accept composite primary keys through the public single-table metadata API, so the reported scenario cannot be exercised here." |
| }, |
| { |
| "bug_id": "388", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10356", |
| "commit": "85cf9fc12b1138c1f2adbed8a761356c3f4197e7", |
| "reproducible": false, |
| "blocking_reason": "The bug was not reproducible in this container under the reported package versions; the observed RSS pattern did not match the runaway memory growth from the issue report." |
| }, |
| { |
| "bug_id": "389", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38632", |
| "commit": "faf677af0abec7ea25c7a33831fcabf30a795796", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "390", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/47050", |
| "commit": "b70d02fc724d04c916832ca4ead03ff05e8fb1ee", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "391", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13998", |
| "commit": "7bf00006aa005eae37bcc639fd0f010c183365b4", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "392", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21689", |
| "commit": "0e20e15f2376f4f356470b08875639a945c43334", |
| "reproducible": false, |
| "blocking_reason": "The exact lightning==2.6.3 wheel described in the report is no longer available from PyPI in this workspace, so the malicious archive cannot be downloaded and inspected here." |
| }, |
| { |
| "bug_id": "393", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1573", |
| "commit": "665d5180fcc01d5700f7a9aa3f9bdb75c6055dce", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "394", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7837", |
| "commit": "a44fb58f134afc5399b29c154a5502e14272774c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "395", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47836", |
| "commit": "b4cfbc24d33ca17bc764a75ffe749654654521c1", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "396", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/730", |
| "commit": "30fd5a4c88db369e87eab27ebf01c0b28bed02dc", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "397", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2600", |
| "commit": "cebc007d66041fee4e468305065872ec1200bec2", |
| "reproducible": false, |
| "blocking_reason": "The reported nondeterminism did not appear here. Same-seed ViT runs were exactly reproducible in this environment, so the issue could not be reproduced from the provided inputs." |
| }, |
| { |
| "bug_id": "398", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/1132", |
| "commit": "e12b2d6534b5fb1c0e6bdc8f486986433e502d1a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "399", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3599", |
| "commit": "f54a7c70c6ddc342867ac113bf12b908404df79c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "400", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2093", |
| "commit": "d49f71825691b554fb8188f8779dc3a5d13e7b96", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "401", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3263", |
| "commit": "0e82cad30f75b892a07e6c9a5f9e24f2cb5d0d81", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "402", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2825", |
| "commit": "b895858c1e306b64f5debf7adc78bdb2b9c78131", |
| "reproducible": false, |
| "blocking_reason": "This source snapshot already validates primary_key as a string before the duplicate-column path can reach the buggy fit-time code, so the issue described in the report is not reachable here." |
| }, |
| { |
| "bug_id": "403", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10276", |
| "commit": "fed2253c4a807e85ba61887efd0bb10ee869d094", |
| "reproducible": false, |
| "blocking_reason": "The bug report depends on a multi-GPU DDP execution path, but this machine only exposes one GPU. The local Python environment also has a broken torch CUDA install, so the repro cannot be exercised end to end here." |
| }, |
| { |
| "bug_id": "404", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38622", |
| "commit": "4250605d1e353e8f3e5f943abc485d5bbe1fb250", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "405", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46981", |
| "commit": "181beb3ba4c47098ed8cbc97ee250d1d45ae0107", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "406", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13979", |
| "commit": "3467efa65a27e4b4c3caa6e01ebb9ca035e14674", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "407", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21677", |
| "commit": "efb73287b6db1bc86d1eb94fde2378a3dfb87be1", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "408", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1546", |
| "commit": "62357f218f72cce88b8e086cc372b15c119b590b", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "409", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7835", |
| "commit": "a44fb58f134afc5399b29c154a5502e14272774c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "410", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47421", |
| "commit": "25fcb65d51deef0026aa34e6067703da4a91f956", |
| "reproducible": false, |
| "blocking_reason": "The reported behavior is expected from the current realtime implementation: it intentionally chunks audio into 5-second segments, so the 'segmentation' is not reproducible as a bug in this source snapshot. Direct runtime import is also blocked in this environment by an installed CUDA/NCCL torch mismatch." |
| }, |
| { |
| "bug_id": "411", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/602", |
| "commit": "08cb3dde577747f6ca6638c884fd66fd16cf2e9d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "412", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2594", |
| "commit": "1ec391520aeebe580b0340fcb795cda30d08ef70", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "413", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/1064", |
| "commit": "2612e4a90e77ce3ea650546ac99a91e8c6ac9aad", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "414", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3550", |
| "commit": "b6326f7726429241a66c888c4d70d588049f77a9", |
| "reproducible": false, |
| "blocking_reason": "This environment is Linux, while the issue is specific to macOS MPS; the exact failing device backend is unavailable here." |
| }, |
| { |
| "bug_id": "415", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2088", |
| "commit": "ee8dbcb9a53dd42abc7a8ae2ffb9585a24ff3490", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "416", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3218", |
| "commit": "b8e0c3ce78b420c7484d3761791f832b988b3a02", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "417", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2823", |
| "commit": "b895858c1e306b64f5debf7adc78bdb2b9c78131", |
| "reproducible": false, |
| "blocking_reason": "The checkout raises 'primary_key' must be a string instead of the nested-list message described in the report." |
| }, |
| { |
| "bug_id": "418", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10163", |
| "commit": "69193c895fe721fb45e63985bb79e8d130ee7782", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "419", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38620", |
| "commit": "4250605d1e353e8f3e5f943abc485d5bbe1fb250", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "420", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46962", |
| "commit": "fdb6d318138c10ad29ac750388917808f50c867c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "421", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13967", |
| "commit": "4757c7c465157ce843294424a5dd9fcd24f52cb2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "422", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21635", |
| "commit": "612ab081e633861f6c7178b7e3e5eaf15b429b94", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "423", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1489", |
| "commit": "7d24bdefb5b3252505151d8c1ac0efbed3574857", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "424", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7830", |
| "commit": "0ccb2bb6746bd8c5294ea9dd4761d72c8d7f48e7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "425", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47418", |
| "commit": "25fcb65d51deef0026aa34e6067703da4a91f956", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "426", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/499", |
| "commit": "3714aa2fff158fdfa637b2b65952580801d890b2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "427", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2593", |
| "commit": "0645384b3a68d0ddf4657400125bb2c68c42bc60", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "428", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/856", |
| "commit": "41d475b75a230221e21d9cac5d69655e3415e3a4", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "429", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3549", |
| "commit": "1ed0d1e40f590420a123006affb958b4c02b0b8c", |
| "reproducible": false, |
| "blocking_reason": "This environment is Linux and does not provide Apple MPS, but the reported crash requires macOS with an available MPS backend." |
| }, |
| { |
| "bug_id": "430", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3203", |
| "commit": "dd4e0f81b4ddceb82ebd663b20333e175ce27c2a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "431", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2813", |
| "commit": "7c574997e9027edce53820b5f38134fb3e5d05c0", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "432", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10160", |
| "commit": "69193c895fe721fb45e63985bb79e8d130ee7782", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "433", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38529", |
| "commit": "e2f2e9e21d6723efc4c4e16e5e070dbc7e76a676", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "434", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46932", |
| "commit": "dd192bad352f5fbe2d2141ece8a9390071fd895c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "435", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13930", |
| "commit": "41add3410424cc33d748a7fd3409132d2f6b4ad2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "436", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21611", |
| "commit": "6805188c711094339e76d81668a4037dd56f7c7a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "437", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1419", |
| "commit": "ab379793d44be16d8fcac5c098a3ab9b6f5a7ec3", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "438", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7812", |
| "commit": "5b2ccad96a2e8f0567f08714a07aa0baca11c7ef", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "439", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47387", |
| "commit": "d63c8e944481e057d00dfee20bc49544d291e521", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "440", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/424", |
| "commit": "b1059b73aab9043b118ff19b0cf96263ea86248a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "441", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2577", |
| "commit": "818663b8b699d8a47026ac952a3adcbdd6350a67", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "442", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/642", |
| "commit": "abae3ae4aaa6e9f5beb908b3b2f734cb12b38a9b", |
| "reproducible": false, |
| "blocking_reason": "This standardized folder already checks out the post-fix detectron2 commit, so the bug reported against the older pre-fix revision is not reproducible here. The original issue also depends on a full COCO training/evaluation run that is not bundled in this folder." |
| }, |
| { |
| "bug_id": "443", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3515", |
| "commit": "83c2101d3ef92b25e371db24e0b6aca8112ea1dd", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "444", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2071", |
| "commit": "68d86dc0535c5488f497790af2305d19d74d924a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "445", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3200", |
| "commit": "dd4e0f81b4ddceb82ebd663b20333e175ce27c2a", |
| "reproducible": false, |
| "blocking_reason": "The standardized snapshot already exposes pyro.optim.ExponentialLR, so the reported AttributeError does not occur here." |
| }, |
| { |
| "bug_id": "446", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2803", |
| "commit": "74744e5f87fa72bdff14d031eafeaa21a4085088", |
| "reproducible": false, |
| "blocking_reason": "The `financial` demo metadata currently matches the actual table column order for every table checked, so the mismatch described in the issue is not present in this environment." |
| }, |
| { |
| "bug_id": "447", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10159", |
| "commit": "69193c895fe721fb45e63985bb79e8d130ee7782", |
| "reproducible": false, |
| "blocking_reason": "The issue did not reproduce in this environment. The available runtime is CPU-only, while the report likely depends on a different GPU/CUDA setup." |
| }, |
| { |
| "bug_id": "448", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38497", |
| "commit": "48f94e65d54b20e86ac68872622f239a89aa33fe", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "449", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46909", |
| "commit": "7b89511f58828f90e86ee118a4fd693bbebe7ba3", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "450", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13920", |
| "commit": "784fa62652fb2719d415830f918fc32a49ecc7a1", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "451", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21580", |
| "commit": "283ce7733ec23786d41751f185093eac83c0ef8d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "452", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1400", |
| "commit": "fafadc532351f3434f4d4abd4b61d356932607d8", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "453", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7811", |
| "commit": "5b2ccad96a2e8f0567f08714a07aa0baca11c7ef", |
| "reproducible": false, |
| "blocking_reason": "This machine has only one visible CUDA device, so the reported 2-rank NCCL topology cannot be reproduced here. The 2-rank attempt fails during distributed initialization with duplicate-GPU NCCL invalid usage, before the DeepSpeed `free_param()` assert can occur." |
| }, |
| { |
| "bug_id": "454", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47303", |
| "commit": "63fcce4de1563309ea5195ba98d0a2e1ba4f5831", |
| "reproducible": false, |
| "blocking_reason": "This machine is not a Hopper (sm90) system, and the required Python environment is incomplete/broken for the Triton kernel path, so the reported NaN corruption cannot be exercised here." |
| }, |
| { |
| "bug_id": "455", |
| "library": "peft", |
| "repository": "huggingface/peft", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/peft/issues/297", |
| "commit": "cc82b674b5db38b9a393463d38afe66e8f48ac1c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "456", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2555", |
| "commit": "e6ab6bc3c6f40b5a9600051309eb5b1933845501", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "457", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/334", |
| "commit": "dd5926a54ee2e346f51e01afb8c0ecbb17b87a37", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "458", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3508", |
| "commit": "05212b82d764d1c4ca06e36b3220ce9c401882da", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "459", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2064", |
| "commit": "ddbd0b876d3cf07d457683d520f00c85f0cc0bb8", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "460", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3181", |
| "commit": "685c7adee65bbcdd6bd6c84c834a0a460f2224eb", |
| "reproducible": false, |
| "blocking_reason": "The mismatch described in the issue report does not occur in this checkout; the exact comparison passes, so there is no failing reproduction to capture." |
| }, |
| { |
| "bug_id": "461", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2799", |
| "commit": "f56af722f248d77c7dc2aa0a6683169f41e596b2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "462", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10138", |
| "commit": "afffee9f089ac0fe1eb8c1600c6e0b2e07ca6f80", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "463", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38268", |
| "commit": "5073cd4d871bd39a04a75aef1db21e065b903f1a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "464", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46899", |
| "commit": "c96378c4136f5882fee50d8ff8ee1e9588a17eb6", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "465", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13877", |
| "commit": "f3d42be118f9af7ed9697b686fba09a8bdcd71d1", |
| "reproducible": false, |
| "blocking_reason": "This is a documentation-only issue with no runtime reproduction path, and the local source tree is missing from the standardized folder." |
| }, |
| { |
| "bug_id": "466", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21576", |
| "commit": "c05cadbe5be3bfa8bacbd9d7e912fa2e456413ff", |
| "reproducible": false, |
| "blocking_reason": "This report is a GitHub tagging/notification request rather than an executable product bug, and the local checkout does not contain the reported `@Blaizzy` mention." |
| }, |
| { |
| "bug_id": "467", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1207", |
| "commit": "901ab69a1601ba1a7c63523356c5acb1d66b7ea9", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "468", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7807", |
| "commit": "15ad92b459c6c39b7c5527efe1e42080eb4ab99f", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "469", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47300", |
| "commit": "5c4db60f019a183231cf020e5679baaf1e8c293f", |
| "reproducible": false, |
| "blocking_reason": "No CUDA GPU is available in this environment, so the H100/SM90 FlashAttention 4 code path described in the bug report cannot be exercised." |
| }, |
| { |
| "bug_id": "470", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2549", |
| "commit": "b2034bb6c57fa6b41fda7398140bf21405361df7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "471", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/92", |
| "commit": "2ac32f9d5a21154484a3bb2d4ab7c94c18c08119", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "472", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3463", |
| "commit": "ab49b59dd37a4210f1d0102b89b7b00340217cf1", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "473", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2055", |
| "commit": "0d4f40c5a25633591388f12372cdb31f9dff0f29", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "474", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3172", |
| "commit": "19e32df3a8620d99193d66ccc04ba3e2f1d3a840", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "475", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2768", |
| "commit": "ad8e4e09bdd01338ea94a60cddd1f06c815273aa", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "476", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10116", |
| "commit": "d2bb939a1bfba3b7a6f7d7b102a2771471657319", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "477", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38188", |
| "commit": "47ce5df4c625a6861d7adff7229b0a40b9230d83", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "478", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46897", |
| "commit": "c96378c4136f5882fee50d8ff8ee1e9588a17eb6", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "479", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13866", |
| "commit": "25b85c1d0b18adf0271fb9f4b547aea244a889ca", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "480", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2051", |
| "commit": "0d4f40c5a25633591388f12372cdb31f9dff0f29", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "481", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2041", |
| "commit": "7a3c24ff4b072f3f3df6c0ef9494d1635753c53d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "482", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38125", |
| "commit": "cd5f656651c3ef2c9f05fcf3345e147577d81fd8", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "483", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46877", |
| "commit": "9b6af5d77de78f0a57a098b2809009ad6ec0cfe3", |
| "reproducible": false, |
| "blocking_reason": "The referenced commit snapshot does not reproduce the reported stdout leak during import." |
| }, |
| { |
| "bug_id": "484", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13864", |
| "commit": "3e83f4348f0c6baea8bee3d1ff7676f50e11e74c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "485", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21567", |
| "commit": "8e805f9268043c9aa8f0d70800be537b56a93c19", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "486", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1200", |
| "commit": "e4620984f8f2d3b91585f7d8c03f8c57cd453f50", |
| "reproducible": false, |
| "blocking_reason": "This checkout is already on the post-fix scheduler-import path, and the local host is Python 3.12 rather than the report's Python 3.8 trigger environment. The reported False result does not occur here." |
| }, |
| { |
| "bug_id": "487", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7804", |
| "commit": "5aa2d17dd71ab71d129719ba25e261a92f677d80", |
| "reproducible": false, |
| "blocking_reason": "The bug needs a working multi-GPU CUDA DeepSpeed runtime to validate the actual communication/computation overlap. In this container, torch import is broken (`libtorch_cuda.so: undefined symbol: ncclCommResume`), and the required multi-GPU setup is unavailable." |
| }, |
| { |
| "bug_id": "488", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47239", |
| "commit": "3406e8f83dad17d044d38853f75270c7b636bb95", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "489", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2546", |
| "commit": "b2034bb6c57fa6b41fda7398140bf21405361df7", |
| "reproducible": false, |
| "blocking_reason": "The reported failure is caused by the custom architecture not being registered in the Python process before `create_model()` is called. In this codebase, `timm` only knows model names after their module has been imported and decorated with `@register_model`." |
| }, |
| { |
| "bug_id": "490", |
| "library": "detectron2", |
| "repository": "facebookresearch/detectron2", |
| "domain": "DL", |
| "issue_url": "https://github.com/facebookresearch/detectron2/issues/56", |
| "commit": "0c28c3d9f1141ad5d6ac4ba6efe306d38048981e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "491", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3409", |
| "commit": "05aa8a8029e989a6091ff1b14a60892d194397fb", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "492", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2040", |
| "commit": "7a3c24ff4b072f3f3df6c0ef9494d1635753c53d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "493", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3156", |
| "commit": "8b7e5641228b664b3c9b674a079e95a478f3e2a0", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "494", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2763", |
| "commit": "471d2e8d6ecec261a12287c337de3e5071a9b33f", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "495", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10024", |
| "commit": "bfbe99faac5f8eaed689bde7683a377594cf4023", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "496", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38105", |
| "commit": "085710a88cfdcc1a8bbfa4b1ba1bc6cceb63e8c9", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "497", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46858", |
| "commit": "d87f670d5b23860b5937473a5fddbba9d675780a", |
| "reproducible": false, |
| "blocking_reason": "The reported failure could not be triggered in this checkout. On CPU with torch 2.10.0+cpu, the exact issue sequence completed normally, so there is no crash to capture." |
| }, |
| { |
| "bug_id": "498", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13819", |
| "commit": "ff3b86b4755b46a7b5656dfcf84d25bd25ad4740", |
| "reproducible": false, |
| "blocking_reason": "The reproduction environment failed before the QwenImageEditPipeline call finished." |
| }, |
| { |
| "bug_id": "499", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21561", |
| "commit": "92a54747aa40273b07a1c15a25a486bb4b37f13d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "500", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1196", |
| "commit": "d1aa558119859c4b205a324afabaecabd9ef375e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "501", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7773", |
| "commit": "8a9369d03e800e413a31503ceb0e5d39e390d845", |
| "reproducible": false, |
| "blocking_reason": "The reported gradient-summing behavior did not reproduce in this checkout; the two runs matched exactly, so there is no failing case to isolate here." |
| }, |
| { |
| "bug_id": "502", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47215", |
| "commit": "28242824e00856cf4f3d3f45c959ab1e6501a91b", |
| "reproducible": false, |
| "blocking_reason": "The current codebase already has the mixed-precision W4A16 dispatch fix and matching regression tests, so the historical `narrow()` out-of-range failure does not reproduce here." |
| }, |
| { |
| "bug_id": "503", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2525", |
| "commit": "3bacf433889b345c75f8f0271bc3066bb15402d7", |
| "reproducible": false, |
| "blocking_reason": "The reported bug does not occur in this codebase snapshot." |
| }, |
| { |
| "bug_id": "504", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3400", |
| "commit": "3fe392b63c849e22b9ce10860c0ae2c4de9b6fd1", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "505", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/48831", |
| "commit": "dc9f845ddc54c1df38fdbce5afe03f9fd15813bd", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "506", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/14175", |
| "commit": "01969142b55379991fee07608c9e7e8f80afced0", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "507", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/48493", |
| "commit": "b3cfca996c8340263cd1fb770a4c5e0b7f400b26", |
| "reproducible": false, |
| "blocking_reason": "Current checkout already carries the clamp-limit plumbing for MiniMax-M3 MoE, so the reported Marlin warmup failure is not reproducible here." |
| }, |
| { |
| "bug_id": "508", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2053", |
| "commit": "0d4f40c5a25633591388f12372cdb31f9dff0f29", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "509", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3143", |
| "commit": "aab99f8a693943a95fb3380838bb6b56e77e677e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "510", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2739", |
| "commit": "7a3a902519afb8b8d1182bee2395a26b5cfe812d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "511", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10019", |
| "commit": "1ab39939d3ef44afa816b1bec4a84c957ad990f2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "512", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21556", |
| "commit": "8d86b2417d56703d5cc4f0da76acc71717d1dab7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "513", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1183", |
| "commit": "37831808444e089a182f66713935d27c39a0cf2c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "514", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7770", |
| "commit": "816e4aef49c3f30186d65a007480bb5d4a94d17f", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "515", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2521", |
| "commit": "96256aa3dbfa058a8f963c9bf5c803447ccc1c54", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "516", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3315", |
| "commit": "5e89e4e7c99a3d3122387548058d4ea20baca926", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "517", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3068", |
| "commit": "611dda1f2e0060af93b329ad1f196788635424b6", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "518", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2736", |
| "commit": "934ba74c5e3f0bc3c07f3b8e2ad204d3fec6006e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "519", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/10018", |
| "commit": "1ab39939d3ef44afa816b1bec4a84c957ad990f2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "520", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38101", |
| "commit": "eb93eda9fbe95cf21c1501db8b064f66b040bf33", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "521", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46846", |
| "commit": "c2fafabbebd83cd6062c809ab602bbeafab639b9", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "522", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21524", |
| "commit": "7d2de87084573e4f75aa83189d0fb43c463120e8", |
| "reproducible": false, |
| "blocking_reason": "The local source tree does not reproduce the reported circular-import failure. In this folder, `import pytorch_lightning` and `import lightning.fabric` both succeed, and `lightning.fabric.strategies` is already present on the package object." |
| }, |
| { |
| "bug_id": "523", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1174", |
| "commit": "2f83b1afefae2c13f9be36419da9f39c283de07d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "524", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7752", |
| "commit": "b4e74a918bef25ffd13c9756d80aaef5ee17f94a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "525", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2485", |
| "commit": "d1140c1a0f21cab390f01b32768745f56ac0e87a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "526", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3309", |
| "commit": "df00d61d31d02465577cbbe8046af449e7685e07", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "527", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3061", |
| "commit": "a98bb57e1704997a3e01c76a7820c0b1db909ee3", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "528", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2725", |
| "commit": "ae6e1c01a9b4d06bbc13868071a3ec36c5ed2d33", |
| "reproducible": false, |
| "blocking_reason": "The reported error is Windows-specific (WinError 1114 from a DLL initialization routine), but this workspace is Linux, so that exact failure path is not reproducible here." |
| }, |
| { |
| "bug_id": "529", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/9974", |
| "commit": "9b794b600d41802edaad26aac18bff958fc8f642", |
| "reproducible": false, |
| "blocking_reason": "The local machine does not match the reported GPU/runtime stack; the available GPU is incompatible with the installed PyTorch wheel (sm_120 vs supported up to sm_90), so the reported CUDA/NCCL segfault could not be exercised here." |
| }, |
| { |
| "bug_id": "530", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38100", |
| "commit": "eb93eda9fbe95cf21c1501db8b064f66b040bf33", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "531", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46832", |
| "commit": "4d47b06102805e02662d5d9865994bed8aa6d7fb", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "532", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13722", |
| "commit": "6382a3db4dd1e129ce8be68649db6fcbae015e8c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "533", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21513", |
| "commit": "0a0f0610a4d223a258cd73e65abe852a8f703226", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "534", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1163", |
| "commit": "3533e2b0b167238fcdd3c636dcf6c3c6de983efa", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "535", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7741", |
| "commit": "20cfce004a79e026e7ba01d2f103b05e2637c6e0", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "536", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47196", |
| "commit": "248d1fbb711b210784ab880593403d665a4731bd", |
| "reproducible": false, |
| "blocking_reason": "torch import failed: /users/grad/mehil/.local/lib/python3.12/site-packages/torch/lib/libtorch_cuda.so: undefined symbol: ncclCommResume; aiter is not installed; no ROCm runtime utilities found" |
| }, |
| { |
| "bug_id": "537", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2481", |
| "commit": "91e6e1737efd8788c3199a93ca95016cf69918b0", |
| "reproducible": false, |
| "blocking_reason": "The reported symptom is an end-to-end CIFAR-100 accuracy gap after 200 epochs, which is not deterministically reproducible from the repository alone here. The local smoke test shows `timm.create_model('resnet34')` builds and runs, and the source documents `resnet34` as the standard torchvision-style 7x7-stem ResNet, not a CIFAR-specific variant." |
| }, |
| { |
| "bug_id": "538", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3291", |
| "commit": "ab35c364cbebea9267bbe50b6e6cafab0768b249", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "539", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3032", |
| "commit": "f4fafc5c7fa0dc5a377ceb06ec59a234bf3ac465", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "540", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2719", |
| "commit": "ae6e1c01a9b4d06bbc13868071a3ec36c5ed2d33", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "541", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/9965", |
| "commit": "47ac8186010bcd14ce14493f02075962d6b359d5", |
| "reproducible": false, |
| "blocking_reason": "The reported failure did not manifest on this host: Inspector.type_repr returned the expected 'typing.Final[Optional[Tensor]]' and the TorchScript wrappers compiled and ran successfully." |
| }, |
| { |
| "bug_id": "542", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38099", |
| "commit": "eb93eda9fbe95cf21c1501db8b064f66b040bf33", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "543", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46829", |
| "commit": "4363936534ef47721b84a95bfdc758f056c3ee98", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "544", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13717", |
| "commit": "6382a3db4dd1e129ce8be68649db6fcbae015e8c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "545", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21488", |
| "commit": "79a39c04d37434f2234d9b518a145854d7c1e642", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "546", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1116", |
| "commit": "907a86d145cc62521ea0281eb24465f537480e2d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "547", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7733", |
| "commit": "5373a88000d8017e269277662cd8e93a814c66e1", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "548", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47147", |
| "commit": "ea9ddf59fc9d262da7467699959d8c84600c073c", |
| "reproducible": false, |
| "blocking_reason": "The current checkout already contains the fix described in the bug report, so the cache-desync failure cannot be reproduced here." |
| }, |
| { |
| "bug_id": "549", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2472", |
| "commit": "ea728f67fa26779f65e1cb9738ece458dbc86a42", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "550", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3288", |
| "commit": "9b0492906d312550c1fa88eb0d507781dcd4bca2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "551", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2026", |
| "commit": "b49b8f8d389d6357ab04003a003ef9fa16ee2e43", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "552", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3018", |
| "commit": "319c515de2a82ac002516ccd4b44dda8e32f7ac4", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "553", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2716", |
| "commit": "ae6e1c01a9b4d06bbc13868071a3ec36c5ed2d33", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "554", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/9959", |
| "commit": "5fb2a8eaae3047a9dd430fd58e735e333daed79d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "555", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38098", |
| "commit": "eb93eda9fbe95cf21c1501db8b064f66b040bf33", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "556", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46821", |
| "commit": "123f5dd72644728722a970b3e3ad1445cf620470", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "557", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13703", |
| "commit": "d773308ca726766d6d2867f1fb8732df3d1dc5a3", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "558", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21477", |
| "commit": "affee2885b1913ca12e4c5dd5c0da82038918c40", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "559", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1112", |
| "commit": "f054799e7fb74554591a6085ca3b920e0b10f923", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "560", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7729", |
| "commit": "d568375e5bd50e4e5fd5e4c011e7be5982ecd528", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "561", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47054", |
| "commit": "7be582697b27277e2756a3878f563fa9dfea30aa", |
| "reproducible": false, |
| "blocking_reason": "The exact issue report is not reproduced here: the local GPU is NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition, not the Hopper H100 reported in the bug, and the full vllm serve + lm_eval workload was not executed." |
| }, |
| { |
| "bug_id": "562", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2463", |
| "commit": "e44f14d7d2f557b9f3add82ee4f1ed2beefbb30d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "563", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3260", |
| "commit": "9354783e3dc41f69b252992c8dd6526a3ad981f2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "564", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2022", |
| "commit": "7c7a7e9a1814adc0ad5e919427723dbab3ee9410", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "565", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/3014", |
| "commit": "319c515de2a82ac002516ccd4b44dda8e32f7ac4", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "566", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2714", |
| "commit": "ae6e1c01a9b4d06bbc13868071a3ec36c5ed2d33", |
| "reproducible": false, |
| "blocking_reason": "The exact reported KeyError is not reachable from the reproduced inputs here; the reported context ordering fails earlier in fit(), and the aligned control case does not error." |
| }, |
| { |
| "bug_id": "567", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/9933", |
| "commit": "ef028547ff4459f6e98fe429d1564bd1d513fc31", |
| "reproducible": false, |
| "blocking_reason": "Only one CUDA device is visible in this workspace, so the `cuda:1` reproduction path cannot run here." |
| }, |
| { |
| "bug_id": "568", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38097", |
| "commit": "eb93eda9fbe95cf21c1501db8b064f66b040bf33", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "569", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46762", |
| "commit": "ad697ec123f5133e5aae45c97c23d90ea52a1bd8", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "570", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13696", |
| "commit": "4ca863323d550842e7d0122efd57d84d9b75d1cf", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "571", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21463", |
| "commit": "027455bcd9433f201b1136f68d54b1a07588abe3", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "572", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/1004", |
| "commit": "c3ea690d48c90599f83c6a305040d06c98e58a50", |
| "reproducible": false, |
| "blocking_reason": "Only one visible GPU is available in this environment, but the bug requires multiple GPUs with DeepSpeed." |
| }, |
| { |
| "bug_id": "573", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7728", |
| "commit": "d568375e5bd50e4e5fd5e4c011e7be5982ecd528", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "574", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47037", |
| "commit": "59575da46df964e6161fb0e1a77fa76ea9ce3106", |
| "reproducible": false, |
| "blocking_reason": "This workspace has a broken local torch installation (`libtorch_cuda.so` is missing `ncclCommResume`), so the CUDA/vLLM stack needed by the report cannot start here." |
| }, |
| { |
| "bug_id": "575", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2457", |
| "commit": "e44f14d7d2f557b9f3add82ee4f1ed2beefbb30d", |
| "reproducible": false, |
| "blocking_reason": "Not reproducible in this folder because the current codebase already defines --validation-batch-size, so the reported Namespace AttributeError does not occur." |
| }, |
| { |
| "bug_id": "576", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3247", |
| "commit": "7e0968aa621c0b67313b3f5db09d931baf8a1b3b", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "577", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2019", |
| "commit": "ff6f5675249d6192e1f8613f8b073f70c8898ba2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "578", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/2935", |
| "commit": "43dbb2e67331bd3aa6c73bb5483825432a8b7145", |
| "reproducible": false, |
| "blocking_reason": "This machine has no CUDA device, so the reported torch.rand(3).cuda() input cannot be created here." |
| }, |
| { |
| "bug_id": "579", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2711", |
| "commit": "ae6e1c01a9b4d06bbc13868071a3ec36c5ed2d33", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "580", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/9899", |
| "commit": "ab2b458f0c0f72d3cb573350b324db563066a7ee", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "581", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38096", |
| "commit": "eb93eda9fbe95cf21c1501db8b064f66b040bf33", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "582", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46752", |
| "commit": "ad697ec123f5133e5aae45c97c23d90ea52a1bd8", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "583", |
| "library": "diffusers", |
| "repository": "huggingface/diffusers", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/diffusers/issues/13691", |
| "commit": "5bd51bd189ab217e6e0ae708dceeb429689c00f7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "584", |
| "library": "pytorch-lightning", |
| "repository": "Lightning-AI/pytorch-lightning", |
| "domain": "DL", |
| "issue_url": "https://github.com/Lightning-AI/pytorch-lightning/issues/21454", |
| "commit": "027455bcd9433f201b1136f68d54b1a07588abe3", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "585", |
| "library": "accelerate", |
| "repository": "huggingface/accelerate", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/accelerate/issues/996", |
| "commit": "b22f088ff662de748cf3f97c7ad8bf5a6dd6a7b9", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "586", |
| "library": "DeepSpeed", |
| "repository": "microsoft/DeepSpeed", |
| "domain": "LLM", |
| "issue_url": "https://github.com/deepspeedai/DeepSpeed/issues/7718", |
| "commit": "e0a6bb510bf77f5f5b3907da2a76786abe74eef1", |
| "reproducible": false, |
| "blocking_reason": "The issue did not reproduce in this CPU-only environment. The GPU/stream-overlap path described in the report was not exercised, and the local probe matched DDP and ZeRO-3." |
| }, |
| { |
| "bug_id": "587", |
| "library": "vllm", |
| "repository": "vllm-project/vllm", |
| "domain": "LLM", |
| "issue_url": "https://github.com/vllm-project/vllm/issues/47027", |
| "commit": "3483240b7ea3d4372b6c79369ea36617f8b1fbb2", |
| "reproducible": false, |
| "blocking_reason": "Could not complete the runtime probe in this workspace. Importing vLLM fails before the request path runs because the preinstalled Torch/NCCL stack is inconsistent, so the full server-side reproduction cannot be executed here." |
| }, |
| { |
| "bug_id": "588", |
| "library": "pytorch-image-models", |
| "repository": "huggingface/pytorch-image-models", |
| "domain": "DL", |
| "issue_url": "https://github.com/huggingface/pytorch-image-models/issues/2453", |
| "commit": "e44f14d7d2f557b9f3add82ee4f1ed2beefbb30d", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "589", |
| "library": "torchrl", |
| "repository": "pytorch/rl", |
| "domain": "RL", |
| "issue_url": "https://github.com/pytorch/rl/issues/3246", |
| "commit": "7e0968aa621c0b67313b3f5db09d931baf8a1b3b", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "590", |
| "library": "numpyro", |
| "repository": "pyro-ppl/numpyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/numpyro/issues/2013", |
| "commit": "ab1f0dc6e954ef7d54724386667e33010b2cfc8b", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "591", |
| "library": "pyro", |
| "repository": "pyro-ppl/pyro", |
| "domain": "ML", |
| "issue_url": "https://github.com/pyro-ppl/pyro/issues/2886", |
| "commit": "ced727e579c50654bdf264604652d93fe663c0d5", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "592", |
| "library": "SDV", |
| "repository": "sdv-dev/SDV", |
| "domain": "ML", |
| "issue_url": "https://github.com/sdv-dev/SDV/issues/2708", |
| "commit": "049106473fd32f00d2b551ef61864801792acc2c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "593", |
| "library": "pytorch_geometric", |
| "repository": "pyg-team/pytorch_geometric", |
| "domain": "DL", |
| "issue_url": "https://github.com/pyg-team/pytorch_geometric/issues/9897", |
| "commit": "ab2b458f0c0f72d3cb573350b324db563066a7ee", |
| "reproducible": false, |
| "blocking_reason": "The reported ImportError does not reproduce on this Linux/Python 3.12 host. The bug appears environment-specific or transient rather than a stable code defect in the checked-in source." |
| }, |
| { |
| "bug_id": "594", |
| "library": "jax", |
| "repository": "jax-ml/jax", |
| "domain": "DL", |
| "issue_url": "https://github.com/jax-ml/jax/issues/38087", |
| "commit": "58d4bf8194fbe2efe7da845cf5192d7e70f58de2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "595", |
| "library": "transformers", |
| "repository": "huggingface/transformers", |
| "domain": "LLM", |
| "issue_url": "https://github.com/huggingface/transformers/issues/46726", |
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| "blocking_reason": "The reporter retracted the diagnosis: DSPy forwards reflection_minibatch_size to GEPA, whose BatchSampler limits trajectories before DspyAdapter receives them. The claimed ignored-parameter fault is therefore not executable at the reported release." |
| }, |
| { |
| "bug_id": "706", |
| "library": "dspy", |
| "repository": "stanfordnlp/dspy", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/stanfordnlp/dspy/issues/9032", |
| "commit": "ba32809e730d9c35969a4d899fde0305344638a1", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "707", |
| "library": "dspy", |
| "repository": "stanfordnlp/dspy", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/stanfordnlp/dspy/issues/8996", |
| "commit": "da69f9d05fc7509eb20c4acb41e8b8b793104f7e", |
| "reproducible": false, |
| "blocking_reason": "The reported BadRequestError is an unsupported-endpoint mismatch, not an executable fault: gpt-4o-mini-transcribe requires OpenAI's audio transcription endpoint while the pinned DSPy LM supports chat, text, and responses endpoints only." |
| }, |
| { |
| "bug_id": "708", |
| "library": "dspy", |
| "repository": "stanfordnlp/dspy", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/stanfordnlp/dspy/issues/8985", |
| "commit": "e842ba176a7183061815946cd3adcedd1dae8126", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "709", |
| "library": "camel", |
| "repository": "camel-ai/camel", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/camel-ai/camel/issues/3441", |
| "commit": "c7d4423ac566a89d8e509146187399e28832bf24", |
| "reproducible": false, |
| "blocking_reason": "The pinned checkout already supplies the `skip_thought_signature_validator` fallback for a missing first Gemini tool-call signature, so the invalid request from the report cannot occur." |
| }, |
| { |
| "bug_id": "710", |
| "library": "camel", |
| "repository": "camel-ai/camel", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/camel-ai/camel/issues/3422", |
| "commit": "e5883ec426afa9d2398f9c82d274ebed4cd25e98", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "711", |
| "library": "camel", |
| "repository": "camel-ai/camel", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/camel-ai/camel/issues/3339", |
| "commit": "adf4aba7f4cf1bf91c247b2b2c51ad11f5374ab2", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "712", |
| "library": "langflow", |
| "repository": "langflow-ai/langflow", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/langflow-ai/langflow/issues/12776", |
| "commit": "737d2c7a61f01ccc5724970abaf687dfeb114bbb", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "713", |
| "library": "langflow", |
| "repository": "langflow-ai/langflow", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/langflow-ai/langflow/issues/12775", |
| "commit": "737d2c7a61f01ccc5724970abaf687dfeb114bbb", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "714", |
| "library": "langflow", |
| "repository": "langflow-ai/langflow", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/langflow-ai/langflow/issues/12408", |
| "commit": "263cfc68f170110473a9a1a47c1d0f1b629ab548", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "715", |
| "library": "langflow", |
| "repository": "langflow-ai/langflow", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/langflow-ai/langflow/issues/12228", |
| "commit": "38eed35ffb70bda2f9ee02b84eaa311d537ae5ae", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "716", |
| "library": "SWE-agent", |
| "repository": "SWE-agent/SWE-agent", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/SWE-agent/SWE-agent/issues/1078", |
| "commit": "aa4e8ea1611dad2220950cc5afb30aff17932b41", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "717", |
| "library": "SWE-agent", |
| "repository": "SWE-agent/SWE-agent", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/SWE-agent/SWE-agent/issues/1012", |
| "commit": "ec75580fe90f198bce2730e3642f33f5874f3357", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "718", |
| "library": "browser-use", |
| "repository": "browser-use/browser-use", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/browser-use/browser-use/issues/4769", |
| "commit": "d19ec6ef20e5c68bf4ca198e8b0b5aea69280fe6", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "719", |
| "library": "browser-use", |
| "repository": "browser-use/browser-use", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/browser-use/browser-use/issues/4676", |
| "commit": "ef32ed708ad90b3cffea0b622d54002c0c5fd94a", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "720", |
| "library": "browser-use", |
| "repository": "browser-use/browser-use", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/browser-use/browser-use/issues/4510", |
| "commit": "a1870b8b969553c375755c77d5d1cebf477c51f6", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "721", |
| "library": "browser-use", |
| "repository": "browser-use/browser-use", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/browser-use/browser-use/issues/4269", |
| "commit": "859cb970631043c7d484ea9a778ad4b9f65383b3", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "722", |
| "library": "python-sdk", |
| "repository": "modelcontextprotocol/python-sdk", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/modelcontextprotocol/python-sdk/issues/2704", |
| "commit": "3eb579948a4719d606d2adbd1f3f69371c9c0f48", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "723", |
| "library": "python-sdk", |
| "repository": "modelcontextprotocol/python-sdk", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/modelcontextprotocol/python-sdk/issues/1708", |
| "commit": "c92bb2f7ffaa61813d7cc350887f4ece38307769", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "724", |
| "library": "crewAI", |
| "repository": "crewAIInc/crewAI", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/crewAIInc/crewAI/issues/5620", |
| "commit": "cb46a1c4babef8c51db6499d7a81f2c36b01bdef", |
| "reproducible": true, |
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| }, |
| { |
| "bug_id": "725", |
| "library": "crewAI", |
| "repository": "crewAIInc/crewAI", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/crewAIInc/crewAI/issues/5544", |
| "commit": "0b120fac902363670976a036aa72693ba0018aa7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "726", |
| "library": "openai-agents-python", |
| "repository": "openai/openai-agents-python", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/openai/openai-agents-python/issues/3315", |
| "commit": "bc3607bae44d9d56c7ae0e40323d0b4a560aa254", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "727", |
| "library": "openai-agents-python", |
| "repository": "openai/openai-agents-python", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/openai/openai-agents-python/issues/2962", |
| "commit": "da82b2cd663ee263b206ce65179c26b598d61f73", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "728", |
| "library": "semantic-kernel", |
| "repository": "microsoft/semantic-kernel", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/microsoft/semantic-kernel/issues/13316", |
| "commit": "1c11258a3242a5a9f8dfa421674fa2108c5e5456", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "729", |
| "library": "semantic-kernel", |
| "repository": "microsoft/semantic-kernel", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/microsoft/semantic-kernel/issues/13298", |
| "commit": "cf9a5f21f74782fddfada1d934088fbff6cc24b9", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "730", |
| "library": "semantic-kernel", |
| "repository": "microsoft/semantic-kernel", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/microsoft/semantic-kernel/issues/13148", |
| "commit": "28ea2f4df872e8fd03ef0792ebc9e1989b4be0ee", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "731", |
| "library": "camel", |
| "repository": "camel-ai/camel", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/camel-ai/camel/issues/4058", |
| "commit": "ff7e2d6d32365253e9d4184663fb0f95533d4731", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "732", |
| "library": "mem0", |
| "repository": "mem0ai/mem0", |
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| "issue_url": "https://github.com/mem0ai/mem0/issues/6258", |
| "commit": "17836748d7afe0521516c6a73c6a256680f05527", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "733", |
| "library": "mem0", |
| "repository": "mem0ai/mem0", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/mem0ai/mem0/issues/5933", |
| "commit": "8d6b7c1d671af329dbf43a984fe1b3207ef59fe7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "734", |
| "library": "mem0", |
| "repository": "mem0ai/mem0", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/mem0ai/mem0/issues/5911", |
| "commit": "f38608fb5061c5aa067793740447cf217b3afee0", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "735", |
| "library": "mem0", |
| "repository": "mem0ai/mem0", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/mem0ai/mem0/issues/5724", |
| "commit": "e615cc66de7ae8e356d7c37b98200016a32e1d0f", |
| "reproducible": true, |
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| }, |
| { |
| "bug_id": "736", |
| "library": "SWE-agent", |
| "repository": "SWE-agent/SWE-agent", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/SWE-agent/SWE-agent/issues/1048", |
| "commit": "c9a6634873077e7dc2bb77d72cf16091b5679ccd", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "737", |
| "library": "python-sdk", |
| "repository": "modelcontextprotocol/python-sdk", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/modelcontextprotocol/python-sdk/issues/1967", |
| "commit": "b38716e5e3761dd2d52809d2d68ce65325faad5e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "738", |
| "library": "phoenix", |
| "repository": "Arize-ai/phoenix", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/Arize-ai/phoenix/issues/13934", |
| "commit": "7afa18317c18142d7eb772682bc9369b10cf0e2e", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "739", |
| "library": "phoenix", |
| "repository": "Arize-ai/phoenix", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/Arize-ai/phoenix/issues/13780", |
| "commit": "031975ccbe60e50967d8f192b6dfe6ca6de1daa7", |
| "reproducible": true, |
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| }, |
| { |
| "bug_id": "740", |
| "library": "phoenix", |
| "repository": "Arize-ai/phoenix", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/Arize-ai/phoenix/issues/13777", |
| "commit": "031975ccbe60e50967d8f192b6dfe6ca6de1daa7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "741", |
| "library": "phoenix", |
| "repository": "Arize-ai/phoenix", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/Arize-ai/phoenix/issues/13775", |
| "commit": "031975ccbe60e50967d8f192b6dfe6ca6de1daa7", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "742", |
| "library": "autogen", |
| "repository": "microsoft/autogen", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/microsoft/autogen/issues/6906", |
| "commit": "7dd503eccfaafbbe36c427d3cfa29abfa2b3f3f8", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "743", |
| "library": "autogen", |
| "repository": "microsoft/autogen", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/microsoft/autogen/issues/6788", |
| "commit": "9f2c5aa1be8f59ad830d253294ca84317f859b66", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "744", |
| "library": "autogen", |
| "repository": "microsoft/autogen", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/microsoft/autogen/issues/6551", |
| "commit": "446da624ac091562f4055344b36e6e2115ae5727", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "745", |
| "library": "langchain", |
| "repository": "langchain-ai/langchain", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/langchain-ai/langchain/issues/37835", |
| "commit": "bc5f1517cf7ac27addd4286e388228b8172b93b9", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "746", |
| "library": "langchain", |
| "repository": "langchain-ai/langchain", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/langchain-ai/langchain/issues/37736", |
| "commit": "84e3c795ec292cd32156f65c37c1445abb94b576", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "747", |
| "library": "langchain", |
| "repository": "langchain-ai/langchain", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/langchain-ai/langchain/issues/37723", |
| "commit": "84e3c795ec292cd32156f65c37c1445abb94b576", |
| "reproducible": false, |
| "blocking_reason": "With the issue-reported openai==2.38.0 and pydantic==2.13.4 versions, the pinned checkout completes the public structured-output path without a Pydantic warning containing field_name='parsed'." |
| }, |
| { |
| "bug_id": "748", |
| "library": "langgraph", |
| "repository": "langchain-ai/langgraph", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/langchain-ai/langgraph/issues/6578", |
| "commit": "df191731918482c5eaf2934a2df0c9cb3571db0c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "749", |
| "library": "langgraph", |
| "repository": "langchain-ai/langgraph", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/langchain-ai/langgraph/issues/6576", |
| "commit": "df191731918482c5eaf2934a2df0c9cb3571db0c", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "750", |
| "library": "langgraph", |
| "repository": "langchain-ai/langgraph", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/langchain-ai/langgraph/issues/6559", |
| "commit": "6c6978918e48cc41792ebcd0402e4358bfc12a31", |
| "reproducible": false, |
| "blocking_reason": "The claimed fault does not reproduce: the runtime-injected checkpointer restores the completed @task result, leaving its call counter at 1 after resume." |
| }, |
| { |
| "bug_id": "751", |
| "library": "langgraph", |
| "repository": "langchain-ai/langgraph", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/langchain-ai/langgraph/issues/6456", |
| "commit": "df8becd5cfc74bb09ab2d7cbdf17c5559114b8d8", |
| "reproducible": false, |
| "blocking_reason": "The pinned LangGraph 1.0.3 checkout uses checkpoint format v4, serializing Send tasks in a TASKS blob rather than JSONB; the reported TypeError is absent." |
| }, |
| { |
| "bug_id": "752", |
| "library": "llama_index", |
| "repository": "run-llama/llama_index", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/run-llama/llama_index/issues/20904", |
| "commit": "7d4436cac2fd0fe488c3330234abcca0310cbeae", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "753", |
| "library": "llama_index", |
| "repository": "run-llama/llama_index", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/run-llama/llama_index/issues/20851", |
| "commit": "a771a4f67e43bb5d2675972496a4e5c70f847052", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "754", |
| "library": "llama_index", |
| "repository": "run-llama/llama_index", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/run-llama/llama_index/issues/20790", |
| "commit": "65ec78efddec0de3267a510b33108100faa053e4", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "755", |
| "library": "smolagents", |
| "repository": "huggingface/smolagents", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/huggingface/smolagents/issues/1730", |
| "commit": "2a41613f92cef0249e3b8950c24f8d66c9080641", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "756", |
| "library": "smolagents", |
| "repository": "huggingface/smolagents", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/huggingface/smolagents/issues/1706", |
| "commit": "29a7b7079866d9e87bf9a71fb31686c4be674941", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "757", |
| "library": "smolagents", |
| "repository": "huggingface/smolagents", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/huggingface/smolagents/issues/1689", |
| "commit": "c035a10e991408f2ccf49fe1cfcfaf0d9a34b011", |
| "reproducible": false, |
| "blocking_reason": "The reported condition is a vLLM server defect, not behavior generated by the pinned smolagents checkout. Reproducing it requires an affected vLLM build and served model/configuration, neither supplied by the report nor permitted under the no-live-model constraint; the local probe confirms smolagents only wraps the upstream 400." |
| }, |
| { |
| "bug_id": "758", |
| "library": "smolagents", |
| "repository": "huggingface/smolagents", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/huggingface/smolagents/issues/1674", |
| "commit": "cb5ba00589be66d42bec009313e544384220ada9", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
| { |
| "bug_id": "759", |
| "library": "pydantic-ai", |
| "repository": "pydantic/pydantic-ai", |
| "domain": "Agentic", |
| "issue_url": "https://github.com/pydantic/pydantic-ai/issues/6025", |
| "commit": "e19e18065a13be0490483ad3c5601d232af8185b", |
| "reproducible": true, |
| "blocking_reason": "" |
| }, |
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| "licensing_note": "The upstream license expressly covers reproduction scripts, metadata and benchmark packaging under CC BY 4.0. Original GitHub issue bodies/comments and linked repository source remain separately licensed and are excluded. Only relevant reproducible ML/DL cases and selected parseable reproduction units are retained; no setup scripts/assets/weights are copied or run. These can intentionally demonstrate bugs and are not working recipes. Changes and attribution are recorded.", |
| "attribution": "Mehil B. Shah, Mohammad Masudur Rahman and Foutse Khomh; AIFaultBench (2026). Source authors report original issue/repository rights separately. See CITATION.cff." |
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| { |
| "id": "ml_dev_bench", |
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| "license_text": "MIT License\n\nCopyright (c) 2024 MLDevBench\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n", |
| "upstream_card": "# ML-Dev-Bench\n\nEver wondered if AI agents can reliably develop new AI models? Look no further!\n\nML-Dev-Bench is a benchmark for evaluating AI agents on real world ML development tasks.\n\nThe benchmark currently includes 30 tasks covering various aspects of model development, including dataset management, debugging model and code failures, and implementing new ideas to achieve strong performance on various machine learning tasks.\n\nWe also introduce Calipers, a framework for evaluating AI agents, providing tools and infrastructure for systematic assessment of AI model performance.\n\n[](https://arxiv.org/abs/2502.00964)\n\n## Table of Contents\n[ML-Dev-Bench](#ml-dev-bench)\n * [Highlights](#highlights)\n * [Features](#features)\n * [Adding New Evaluation Tasks](#adding-new-evaluation-tasks)\n * [Requirements](#requirements)\n * [Installation](#installation)\n * [Usage](#usage)\n + [Basic Usage](#basic-usage)\n + [Multi-run Evaluations](#multi-run-evaluations)\n * [Development](#development)\n * [Project Structure](#project-structure)\n * [Adding new Evaluation Cases](#adding-new-evaluation-cases)\n * [Adding New Agents](#adding-new-agents)\n + [Setting up Agent Dependencies using Poetry](#setting-up-agent-dependencies-using-poetry)\n + [Adding Agents Code](#adding-agents-code)\n + [Agent Docker Setup](#agent-docker-setup)\n - [Building Images](#building-images)\n - [Creating Agent Dockerfile](#creating-agent-dockerfile)\n * [Contributing](#contributing)\n * [Evaluation Traces](#evaluation-traces)\n * [License](#license)\n * [Acknowledgments](#acknowledgments)\n * [Citation](#citation)\n\n## Highlights\n\n\n**What kind of tasks are currently in ml-dev-bench?**\n\nml-dev-bench currently includes 30 tasks across the following categories.\n| Category | Description |\n|--------------------|----------------------------------------------------------------------------------------|\n| Dataset Handling | Downloading and preprocessing datasets |\n| Model Training | Loading pretrained models, fine-tuning |\n| Debugging | Addressing errors in training files, exploding gradients, and incorrect implementations|\n| Model Implementation| Modifying and implementing on top of existing model architectures |\n| API Integration | Integrating logging tools like WandB |\n| Performance | Improving baselines and achieving competitive results |\n\n\n**What kind of ML problems do these tasks cover?**\n\nThe tasks cover ML development in problem domains like image classification, segmentation, question answering, image generation, LLM finetuning and alignment, etc.\n\n**What is the performance of different agents on these tasks?**\n\nWe currently evaluate 3 agents (ReAct, OpenHands, and AIDE) using 3 models (Claude 3.5 Sonnet, GPT-4o, and Gemini 2.0 Flash) on 30 tasks.\n\n\n**What are the common failures across agents?**\n\nAgents perform well in easier and well-defined categories like dataset handling and basic debugging with clear instructions, but struggle in open-ended and long-running tasks like model performance improvement where no agent succeeded.\nAgents also fail in debugging and implementation tasks which need modifications to large existing codebases.\n\n\n## Features\n- Flexible evaluation framework for AI agents\n- Comprehensive metrics tracking and reporting\n- Integration with LiteLLM and LangChain\n- Configurable task-based evaluation system using Hydra\n- Support for parameter sweeps and multi-run evaluations\n\n## Adding New Evaluation Tasks\n\nWe welcome contributions of new evaluation tasks! The process is:\n\n1. **Propose Your Task**\n - Create a new issue using our [New Evaluation Task](https://github.com/ml-dev-bench/ml-dev-bench/issues/new?template=new_evaluation_task.yml) template\n - This helps gather feedback and ensure the task fits our evaluation framework\n\n2. **Implement Your Task**\n - After discussion and approval, implement your task following our examples:\n - [hello_world](https://github.com/ml-dev-bench/ml-dev-bench/tree/main/ml_dev_bench/cases/hello_world) for basic task structure\n - [nan_losses](https://github.com/ml-dev-bench/ml-dev-bench/tree/main/ml_dev_bench/cases/debugging/nan_losses) for tasks with setup files and test scripts\n\n3. **Submit Your Implementation**\n - Create a pull request using our [New Evaluation Task](https://github.com/ml-dev-bench/ml-dev-bench/compare/main...main?template=new_evaluation_task.md) template\n - Ensure all validation criteria and tests are implemented\n\n\n## Requirements\n\n- Python 3.12+\n- Poetry 1.8+\n- Linux, macOS, or Windows Subsystem for Linux (WSL)\n\n## Installation\n\n1. Clone the repository:\n\n```bash\ngit clone https://github.com/ml-dev-bench/ml-dev-bench.git\ncd ml-dev-bench\n```\n\n2. Install dependencies:\n\n```bash\nmake build\n```\nThis will:\n- Check system requirements\n- Install Python dependencies\n- Set up pre-commit hooks\n- Configure the development environment\n\n3. Install runtime dependencies:\n\nThis is needed for running evaluations locally.\n\n```bash\nmake install-runtime-dependencies\n```\n\n## Usage\n\nThe evaluation framework uses Hydra for configuration management, allowing flexible task and agent configurations.\n\n### Basic Usage\n\nRun a single task with a specific agent:\n```bash\n./scripts/eval.sh task=hello_world agent=openhands\n```\n\nRun with configuration overrides:\n```bash\n./scripts/eval.sh task=hello_world agent=openhands num_runs=3\n```\n\n### Multi-run Evaluations\nCreate a .env file to store the API keys for the agents you are using.\n\nActivate the virtual environment for that agent from the root directory (e.g. for OpenHands):\n```bash\nsource .venv-openhands/<ml-dev-bench-version>/bin/activate\n```\n\nRun all available tasks with a specific agent:\n```bash\n./scripts/eval.sh --multirun \"task=glob(*)\" agent=openhands\n```\nRun a list of tasks with a specific agent:\n```bash\n./scripts/eval.sh --multirun task=hello_world,shape_mismatch_train agent=react\n```\n\n## Development\n\n- Format and lint code:\n\n```bash\nmake lint\n```\n## Calipers Architecture\n\n```mermaid\ngraph TD\n %% Main Components\n User([User]) --> Scripts\n Scripts[\"Scripts (Entry Points)\"] --> |\"Configure & Run\"| Framework\n\n %% Core Components\n subgraph \"Core Framework\"\n Framework[\"Framework (Orchestration)\"]\n Registry[\"Registry (Task & Agent Repository)\"]\n Config[\"Configuration (Hydra-based)\"]\n end\n\n %% Execution Components\n subgraph \"Execution Components\"\n Tasks[\"Evaluation Tasks\"]\n Agents[\"AI Agents\"]\n Runtime[\"Runtime (Execution Environment)\"]\n end\n\n %% Monitoring Components\n subgraph \"Monitoring\"\n Metrics[\"Metrics System\"]\n Callbacks[\"Event Callbacks\"]\n Results[\"Evaluation Results\"]\n end\n\n %% Configurations\n Config --> |\"Configure\"| Framework\n Config --> |\"Task Settings\"| Tasks\n Config --> |\"Agent Settings\"| Agents\n\n %% Registration Flow\n Registry --> |\"Register\"| Tasks\n Registry --> |\"Register\"| Agents\n Framework --> |\"Loads from\"| Registry\n\n %% Task Execution Flow\n Framework --> |\"Initialize\"| Tasks\n Tasks --> |\"Run via\"| Agents\n Agents --> |\"Execute in\"| Runtime\n Tasks --> |\"Validate with\"| Runtime\n\n %% Monitoring Flow\n Tasks --> |\"Record\"| Metrics\n Agents --> |\"Trigger\"| Callbacks\n Tasks --> |\"Produce\"| Results\n Metrics --> Results\n\n\n %% Extensions\n MLDevBench[\"ML Dev Bench Runtime\"] --> Runtime\n```\n\n## Project Structure\n\n```\n.\n\u251c\u2500\u2500 calipers/\n\u2502 \u251c\u2500\u2500 agents/ # Agent implementations\n\u2502 \u251c\u2500\u2500 callbacks/ # Callback handlers\n\u2502 \u251c\u2500\u2500 framework/ # Core evaluation framework\n\u2502 \u251c\u2500\u2500 metrics/ # Metrics tracking\n\u2502 \u2514\u2500\u2500 scripts/ # CLI tools\n\u2502\n\u2514\u2500\u2500 runtime/\n \u251c\u2500\u2500 backends/ # Runtime backend implementations\n \u251c\u2500\u2500 environments/ # Environment configurations\n \u2514\u2500\u2500 tools/ # Runtime tools\n\n```\n\n## Adding new Evaluation Cases\nUse the structure of the existing cases in the `ml_dev_bench/cases` directory.\nYou need to create a new directory in the `ml_dev_bench/cases` directory and add the new case files.\nA case includes a task.txt file that lists the tasks to be run, a config.yaml file that lists the configuration for the case, and a python file that evaluates the case. Optionally, you can add a setup_workspace directory that will be cloned into the workspace for the case.\n\n## Adding New Agents\n\n### Setting up Agent Dependencies using Poetry\n1. Add a new group in `pyproject.toml`:\n```toml\n[tool.poetry.group.{your-agent-name}.dependencies]\ndependency1 = \"^version\"\ndependency2 = \"^version\"\n```\n\n2. Add a corresponding make target in `Makefile`:\n```makefile\ninstall-{your-agent}-dependencies:\n\t@echo \"$(GREEN)Installing Python dependencies with {your-agent} in new environment...$(RESET)\"\n\tPOETRY_VIRTUALENVS_PATH=\"./.venv-{your-agent}\" poetry env use python$(PYTHON_VERSION)\n\tPOETRY_VIRTUALENVS_PATH=\"./.venv-{your-agent}\" poetry install --with {your-agent}\n```\n\nThis creates a separate virtual environment with a suffix matching your agent name (e.g., `.venv-{your-agent}`).\n\nExample: The react-agent group is set up with:\n```bash\nmake install-react-agent-dependencies\n```\nThis creates a dedicated environment at `.venv-react` with all react-agent specific dependencies.\n\n\n### Adding Agents Code\n\n1. Create a new directory under `agents/` with your agent name (e.g., `agents/my_agent/`)\n2. Add your agent implementation files in this directory\n3. Create a `Dockerfile` in your agent directory that extends the base image\n4. Add agent configuration in `ml_dev_bench/conf/agent/`\n\nExample structure:\n```\nagents/\n\u251c\u2500\u2500 my_agent/\n\u2502 \u251c\u2500\u2500 __init__.py\n\u2502 \u251c\u2500\u2500 my_agent.py # Your agent implementation\n\u2502 \u2514\u2500\u2500 Dockerfile # Agent-specific Dockerfile\n\u2514\u2500\u2500 utils.py # Shared utilities\n```\n### Agent Docker Setup\nThe project uses a two-stage Docker build:\n1. A base image with core dependencies\n2. Agent-specific images that extend the base image\n\n#### Building Images\n1. Build the base image (from project root):\n```bash\ndocker build -t ml-dev-bench-base -f docker_base/base.Dockerfile .\n```\n\n2. Build your agent's image (from project root):\n```bash\ndocker build -t ml-dev-bench-myagent -f agents/my_agent/Dockerfile .\n```\n\n#### Creating Agent Dockerfile\nYour agent's Dockerfile should:\n1. Extend the base image\n2. Copy agent-specific code\n3. Install agent-specific dependencies\n\nExample agent Dockerfile:\n```dockerfile\nFROM ml-dev-bench-base:latest\n\n# Copy the agent code\nCOPY agents/my_agent/ ./agents/my_agent/\nCOPY agents/__init__.py ./agents/\nCOPY agents/utils.py ./agents/\n\n# Install agent-specific dependencies\nRUN poetry install --with my-agent\n\n# Set working directory\nWORKDIR $WORKDIR/agents/my_agent\n\n# Default command - open a shell with poetry env\nCMD [\"poetry\", \"shell\"]\n```\n## Contributing\n\n1. Fork the repository\n2. Create a feature branch\n3. Make your changes\n4. Run linters and tests\n5. Submit a pull request\n\n## Evaluation Traces\n\nEvaluation logs and Traces: [Link](https://drive.google.com/drive/folders/1o1FCvx_n9XVKgvkSWL97LlsfOh_KfG-S)\n\n## License\n\nMIT License - see the [LICENSE](LICENSE) file for details\n\n## Acknowledgments\n\n- LiteLLM for LLM integration\n- Composio for runtime management\n- Hydra for configuration management\n\n## Citation\n\nIf you use ML-Dev-Bench in your research, please cite our paper:\n\n```bibtex\n@misc{mldevbench,\n title={ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows},\n author={Harshith Padigela and Chintan Shah and Dinkar Juyal},\n year={2025},\n eprint={2502.00964},\n archivePrefix={arXiv},\n primaryClass={cs.SE},\n url={https://arxiv.org/abs/2502.00964},\n}\n```\n", |
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| "licensing_note": "The upstream repository is MIT licensed. Only benchmark task descriptions and selected debugging workspace units are retained with original notices. Linked external repositories, checkpoints, datasets, execution/setup shell scripts and credential-requiring API-integration tasks are excluded. Fixtures may deliberately contain errors and are not reference solutions or held-out tests after retrieval use.", |
| "attribution": "Copyright (c) 2024 MLDevBench. Original upstream MIT LICENSE preserved." |
| } |
| ], |
| "standard_licenses": { |
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