WandbLogger does not log losses with self.log() in LightningModule

[hugothimonier]

Bug description

Hello everyone,

I have been using lightning to train my model, and relying on WandLogger to log metrics and losses.
As a side information, I am running the code on nodes from a cluster that disables internet access for computing nodes. Thus it requires offline wandb sync after/during the training job.

I have encountered the following behavior,

• System logs are all logged on wandb and I can access them on wandb.ai without any trouble.
• However, logging the loss values on wandb does not work using self.log() inside my LightningModule. The values are correctly printed during training, but I cannot access them on wandb.ai after sync.
• When calling self.logger.experiment.log(), the loss values are correctly logged and accessible on wandb.ai.

What version are you seeing the problem on?

v2.4

How to reproduce the bug

The main file:

...
wandb_logger = WandbLogger(
                project="ProjectName",
                offline=True,
                config=config,)
...
trainer = pl.Trainer(
            max_epochs=config['training']['num_epochs'],
            accumulate_grad_batches=config['training']['gradient_accumulation_steps'],
            callbacks=callbacks,
            devices=int(os.environ['SLURM_GPUS_ON_NODE']),
            accelerator=device_type,
            strategy=strategy,
            logger=wandb_logger,
            profiler=profiler,
            enable_model_summary=True,
            num_nodes=int(os.environ['SLURM_NNODES']),
            detect_anomaly=config['anomaly_run'],
            fast_dev_run=config['fast_dev_run'],
        )
trainer.fit(pl_model,
            dataset, 
            ckpt_path=load_pth)

TheLightningModule:

import lightning as pl

class MyClass(pl.LightningModule):
    def __init__(self,
                 model: nn.Module,
                 config: Dict):

...

    def training_step(self, batch, batch_idx):
        ...
        asr_loss = ...
        em_loss = ...
        total_loss = asr_loss + em_loss

        self.log("Train/ASR_step_loss",
                 asr_loss.item(), 
                 prog_bar=True, 
                 on_step=True,
                 on_epoch=True,
                 sync_dist=True,
                 logger=True,)
        self.log("Train/total_loss", 
                 total_loss.item(), 
                 prog_bar=True, 
                 on_step=True, 
                 on_epoch=True,
                 sync_dist=True,
                 logger=True,)
        self.log("Train/EM_step_loss", 
                 loss_em.item(),
                 prog_bar=True,
                 on_step=True,
                 on_epoch=True,
                 sync_dist=True,
                 logger=True,)

        # without this code, loss are not logged on wandb
        self.logger.experiment.log(
            {"Train/ASR_step_loss":
                 asr_loss.item()},
        )
        self.logger.experiment.log(
            {"Train/em_loss":
                 em_loss.item()},
        )
        self.logger.experiment.log(
            {"Train/total_loss":
                 total_loss.item()},
        )


        return total_loss

Error messages and logs

As a side note, the wandb logs provide the following:

2025-02-21 11:02:09,547 ERROR   MainThread:3724374 [wandb_run.py:_redirect():2320] Failed to redirect.
Traceback (most recent call last):
  File "path/to/.local/lib/python3.11/site-packages/wandb/sdk/wandb_run.py", line 2313, in _redirect
    out_redir.install()
  File "path/to/.local/lib/python3.11/site-packages/wandb/sdk/lib/redirect.py", line 654, in install
    stream.write = write
    ^^^^^^^^^^^^
AttributeError: 'stream.Stream' object attribute 'write' is read-only
2025-02-21 11:02:09,556 INFO    MainThread:3724374 [wandb_init.py:init():1037] run started, returning control to user process

Environment

Current environment

• CUDA:
  - GPU:
  - Tesla V100-SXM2-16GB
  - available: True
  - version: 12.2
• Lightning:
  - efficientnet-pytorch: 0.7.1
  - idr-torch: 2.2.0
  - lightning: 2.4.0
  - lightning-utilities: 0.11.8
  - pytorch-fast-transformers: 0.4.0
  - pytorch-ignite: 0.5.1
  - pytorch-lightning: 2.4.0
  - pytorch-msssim: 1.0.0
  - pytorch-pfn-extras: 0.7.7
  - pytorchvideo: 0.1.5
  - segmentation-models-pytorch: 0.3.4
  - torch: 2.4.0
  - torch-cluster: 1.6.3
  - torch-ema: 0.3
  - torch-geometric: 2.6.1
  - torch-scatter: 2.1.2
  - torch-sparse: 0.6.18
  - torch-spline-conv: 1.2.2
  - torch-tb-profiler: 0.4.3
  - torchao: 0.6.1
  - torchaudio: 2.4.0a0+69d4077
  - torchdata: 0.8.0
  - torchensemble: 0.2.0
  - torchinfo: 1.8.0
  - torchio: 0.20.1
  - torchmetrics: 1.4.3
  - torchtune: 0.3.1
  - torchvision: 0.19.0a0
  - torchviz: 0.0.2
• Packages:
  - absl-py: 2.1.0
  - accelerate: 1.0.1
  - addict: 2.4.0
  - aenum: 3.1.15
  - affine: 2.4.0
  - aim: 3.25.0
  - aim-ui: 3.25.0
  - aimrecords: 0.0.7
  - aimrocks: 0.5.2
  - aiofiles: 23.2.1
  - aiohappyeyeballs: 2.4.3
  - aiohttp: 3.10.10
  - aiohttp-cors: 0.7.0
  - aiosignal: 1.3.1
  - alabaster: 0.7.16
  - albucore: 0.0.18
  - albumentations: 1.4.18
  - alembic: 1.13.3
  - aniso8601: 9.0.1
  - annotated-types: 0.7.0
  - antlr4-python3-runtime: 4.9.3
  - anyio: 4.2.0
  - apex: 0.1
  - appdirs: 1.4.4
  - argon2-cffi: 23.1.0
  - argon2-cffi-bindings: 21.2.0
  - arrow: 1.3.0
  - asgiref: 3.8.1
  - asn1crypto: 1.5.1
  - assertpy: 1.1
  - astroid: 3.3.5
  - astropy: 6.1.4
  - astropy-iers-data: 0.2024.10.14.0.32.55
  - asttokens: 2.4.1
  - astunparse: 1.6.3
  - async-lru: 2.0.4
  - asyncssh: 2.17.0
  - atomicwrites: 1.4.1
  - attrs: 24.2.0
  - audioread: 3.0.1
  - autocommand: 2.2.2
  - autopep8: 2.0.4
  - av: 13.1.0
  - awscli: 1.35.8
  - babel: 2.16.0
  - backoff: 2.2.1
  - backports.tarfile: 1.2.0
  - base58: 2.0.1
  - basicsr: 1.4.2
  - bcrypt: 4.2.0
  - beautifulsoup4: 4.12.3
  - binaryornot: 0.4.4
  - biopython: 1.84
  - bitarray: 2.5.1
  - bitsandbytes: 0.44.1
  - bkcharts: 0.2
  - black: 24.10.0
  - bleach: 6.1.0
  - blinker: 1.6.2
  - blis: 0.7.11
  - blobfile: 3.0.0
  - bokeh: 3.6.0
  - boto: 2.49.0
  - boto3: 1.35.42
  - botocore: 1.35.42
  - bottleneck: 1.4.1
  - braceexpand: 0.1.7
  - branca: 0.8.0
  - build: 1.2.2.post1
  - cachetools: 5.5.0
  - catalogue: 2.0.10
  - ccimport: 0.4.4
  - certifi: 2024.8.30
  - cffi: 1.17.1
  - chardet: 5.2.0
  - charset-normalizer: 3.4.0
  - chroma-hnswlib: 0.7.6
  - chromadb: 0.5.15
  - clarabel: 0.9.0
  - click: 8.1.7
  - click-plugins: 1.1.1
  - cligj: 0.7.2
  - clip: 0.2.0
  - cloudpathlib: 0.19.0
  - cloudpickle: 3.1.0
  - cmake: 3.30.4
  - colorama: 0.4.6
  - coloredlogs: 15.0.1
  - colorful: 0.5.6
  - colorlog: 6.8.2
  - comm: 0.2.2
  - compressai: 1.2.6
  - confection: 0.1.5
  - contourpy: 1.3.0
  - cookiecutter: 2.6.0
  - cryptography: 43.0.1
  - cumm-cu120: 0.4.11
  - cupy-cuda12x: 13.3.0
  - cvxpy: 1.5.3
  - cvxpylayers: 0.1.6
  - cxxfilt: 0.3.0
  - cycler: 0.12.1
  - cymem: 2.0.8
  - cytoolz: 0.12.2
  - dask: 2024.8.2
  - dask-expr: 1.1.13
  - dask-jobqueue: 0.8.2
  - databricks-sdk: 0.35.0
  - dataclasses: 0.6
  - dataclasses-json: 0.6.7
  - datasets: 2.12.0
  - debugpy: 1.8.7
  - decorator: 5.1.1
  - deepspeed: 0.15.2
  - defusedxml: 0.7.1
  - deprecated: 1.2.13
  - dgl: 2.1.0
  - dglgo: 0.0.2
  - diff-match-patch: 20230430
  - diffcp: 1.0.23
  - diffusers: 0.30.3
  - dill: 0.3.6
  - diskcache: 5.6.3
  - distarray: 0.6.0
  - distlib: 0.3.9
  - distributed: 2024.8.2
  - distro: 1.9.0
  - dm-tree: 0.1.8
  - docker: 7.1.0
  - docker-pycreds: 0.4.0
  - docopt: 0.6.2
  - docstring-parser: 0.16
  - docstring-to-markdown: 0.15
  - docutils: 0.21.2
  - durationpy: 0.9
  - eagerpy: 0.30.0
  - ecos: 2.0.14
  - efficientnet-pytorch: 0.7.1
  - einops: 0.8.0
  - embreex: 2.17.7.post5
  - entrypoints: 0.4
  - eo-learn: 1.5.7
  - eo-learn-core: 1.5.0
  - eo-learn-coregistration: 1.5.0
  - eo-learn-features: 1.5.0
  - eo-learn-geometry: 1.5.0
  - eo-learn-io: 1.5.0
  - eo-learn-mask: 1.5.0
  - eo-learn-ml-tools: 1.5.0
  - eo-learn-visualization: 1.5.0
  - evaluate: 0.4.3
  - executing: 2.1.0
  - expecttest: 0.2.1
  - fabric: 2.6.0
  - fastai: 2.7.17
  - fastapi: 0.115.2
  - fastargs: 1.2.0
  - fastcore: 1.7.19
  - fastdownload: 0.0.7
  - fastjsonschema: 2.20.0
  - fastkml: 0.12
  - fastmri: 0.3.0
  - fastprogress: 1.0.3
  - fastrlock: 0.8.2
  - ffcv: 1.0.2
  - ffmpy: 0.4.0
  - filelock: 3.13.1
  - filetype: 1.2.0
  - findiff: 0.10.2
  - fiona: 1.10.1
  - fire: 0.7.0
  - flake8: 7.1.1
  - flash-attn: 2.6.1
  - flask: 3.0.3
  - flatbuffers: 24.3.25
  - folium: 0.17.0
  - fonttools: 4.54.1
  - foolbox: 3.3.4
  - fqdn: 1.5.1
  - frozenlist: 1.4.1
  - fs: 2.4.16
  - fs-s3fs: 1.1.1
  - fsspec: 2023.6.0
  - future: 1.0.0
  - fvcore: 0.1.6
  - gast: 0.5.3
  - geographiclib: 2.0
  - geopandas: 0.14.4
  - gguf: 0.10.0
  - gitdb: 4.0.11
  - gitpython: 3.1.43
  - glob2: 0.7
  - global-land-mask: 1.0.0
  - gmpy2: 2.1.2
  - google-api-core: 2.21.0
  - google-auth: 2.35.0
  - googleapis-common-protos: 1.65.0
  - gradio: 5.1.0
  - gradio-client: 1.4.0
  - graphene: 3.3
  - graphql-core: 3.2.5
  - graphql-relay: 3.2.0
  - graphviz: 0.20.3
  - greenlet: 3.1.1
  - grpcio: 1.67.0
  - gunicorn: 23.0.0
  - guppy3: 3.1.4.post1
  - h11: 0.14.0
  - h5py: 3.12.1
  - heapdict: 1.0.1
  - hjson: 3.1.0
  - horovod: 0.28.1
  - httpcore: 1.0.6
  - httptools: 0.6.4
  - httpx: 0.27.2
  - huggingface-hub: 0.26.0
  - humanfriendly: 10.0
  - humanize: 4.11.0
  - hydra-core: 1.3.2
  - hyperpyyaml: 1.2.2
  - hypothesis: 6.115.2
  - idna: 3.7
  - idr-accelerate: 2.0.1
  - idr-env-protect: 2.0.0
  - idr-pypi: 1.0.0
  - idr-torch: 2.2.0
  - idris: 1.0.0
  - imageio: 2.33.1
  - imageio-ffmpeg: 0.5.1
  - imagesize: 1.4.1
  - imbalanced-learn: 0.12.4
  - importlib-metadata: 8.4.0
  - importlib-resources: 6.4.0
  - imutils: 0.5.4
  - inflect: 7.3.1
  - inflection: 0.5.1
  - iniconfig: 1.1.1
  - interegular: 0.3.3
  - intervaltree: 3.1.0
  - invoke: 1.6.0
  - iopath: 0.1.10
  - ipykernel: 6.29.5
  - ipyparallel: 8.8.0
  - ipython: 8.28.0
  - ipython-genutils: 0.2.0
  - ipywidgets: 8.1.5
  - isoduration: 20.11.0
  - isort: 5.13.2
  - itsdangerous: 2.2.0
  - jaraco.classes: 3.4.0
  - jaraco.collections: 5.1.0
  - jaraco.context: 6.0.1
  - jaraco.functools: 4.1.0
  - jaraco.text: 3.12.1
  - jedi: 0.19.1
  - jeepney: 0.8.0
  - jellyfish: 1.1.0
  - jinja2: 3.1.4
  - jiter: 0.6.1
  - jmespath: 1.0.1
  - joblib: 1.4.2
  - json5: 0.9.25
  - jsonpatch: 1.33
  - jsonpointer: 3.0.0
  - jsonschema: 4.23.0
  - jsonschema-specifications: 2024.10.1
  - jupyter: 1.1.1
  - jupyter-client: 8.6.0
  - jupyter-console: 6.6.3
  - jupyter-contrib-core: 0.4.2
  - jupyter-core: 5.7.2
  - jupyter-events: 0.10.0
  - jupyter-lsp: 2.2.5
  - jupyter-nbextensions-configurator: 0.6.4
  - jupyter-server: 2.14.1
  - jupyter-server-terminals: 0.4.4
  - jupyter-tensorboard: 0.2.0
  - jupyterlab: 4.2.5
  - jupyterlab-pygments: 0.1.2
  - jupyterlab-server: 2.27.3
  - jupyterlab-widgets: 3.0.13
  - jupyterquiz: 2.6.3
  - keyring: 25.4.1
  - kiwisolver: 1.4.7
  - kornia: 0.7.3
  - kornia-rs: 0.1.5
  - kubernetes: 31.0.0
  - langchain: 0.3.3
  - langchain-core: 0.3.12
  - langchain-text-splitters: 0.3.0
  - langcodes: 3.4.1
  - langsmith: 0.1.136
  - language-data: 1.2.0
  - lapjv: 1.3.27
  - lark: 1.2.2
  - lazy-loader: 0.4
  - librosa: 0.10.2.post1
  - lief: 0.15.1
  - lightgbm: 4.5.0
  - lightning: 2.4.0
  - lightning-utilities: 0.11.8
  - linkify-it-py: 2.0.3
  - lintrunner: 0.12.5
  - littleutils: 0.2.4
  - llvmlite: 0.43.0
  - lm-format-enforcer: 0.10.6
  - lmdb: 1.4.1
  - locket: 1.0.0
  - lpips: 0.1.4
  - lxml: 5.2.1
  - mako: 1.3.5
  - manifold3d: 2.5.1
  - mapbox-earcut: 1.0.2
  - marisa-trie: 1.2.1
  - markdown: 3.7
  - markdown-it-py: 3.0.0
  - markupsafe: 2.1.5
  - marshmallow: 3.22.0
  - matplotlib: 3.9.2
  - matplotlib-inline: 0.1.7
  - mccabe: 0.7.0
  - mdit-py-plugins: 0.4.2
  - mdurl: 0.1.2
  - megatron-lm: 3.0.0
  - memray: 1.14.0
  - mistral-common: 1.4.4
  - mistune: 3.0.2
  - mizani: 0.11.4
  - mlconfig: 0.2.2
  - mlflow: 2.17.0
  - mlflow-skinny: 2.17.0
  - mmcv: 2.2.0
  - mmengine: 0.10.5
  - mmh3: 5.0.1
  - mock: 4.0.3
  - monai: 1.3.1
  - monotonic: 1.6
  - more-itertools: 10.5.0
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  - msgpack: 1.0.3
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  - multidict: 6.1.0
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  - multiprocess: 0.70.14
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  - mypy-extensions: 1.0.0
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  - networkx: 3.2.1
  - nh3: 0.2.18
  - nibabel: 5.3.1
  - ninja: 1.11.1.1
  - nltk: 3.9.1
  - notebook: 6.4.12
  - notebook-shim: 0.2.4
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  - numpy: 1.26.4
  - numpydoc: 1.8.0
  - nvidia-dali-cuda120: 1.42.0
  - nvidia-dlprof: 0.17.0
  - nvidia-ml-py: 12.560.30
  - nvidia-nsys-cli: 2021.3.2.12
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  - pandas: 2.2.3
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  - pooch: 1.8.2
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  - propcache: 0.2.0
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  - protobuf: 4.25.5
  - psutil: 6.0.0
  - ptyprocess: 0.7.0
  - pure-eval: 0.2.3
  - py-cpuinfo: 9.0.0
  - py-spy: 0.3.14
  - pyairports: 2.1.1
  - pyarrow: 17.0.0
  - pyasn1: 0.6.1
  - pyasn1-modules: 0.4.1
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  - pynndescent: 0.5.13
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  - pyproj: 3.6.1
  - pyproject-hooks: 1.2.0
  - pyqt5: 5.15.11
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  - pyqt5-sip: 12.15.0
  - pyqtwebengine: 5.15.7
  - pyqtwebengine-qt5: 5.15.15
  - pytest: 7.4.4
  - python-dateutil: 2.9.0.post0
  - python-dotenv: 1.0.1
  - python-hostlist: 1.23.0
  - python-json-logger: 2.0.7
  - python-louvain: 0.16
  - python-lsp-black: 2.0.0
  - python-lsp-jsonrpc: 1.1.2
  - python-lsp-server: 1.12.0
  - python-multipart: 0.0.12
  - python-slugify: 8.0.4
  - pytoolconfig: 1.2.6
  - pytorch-fast-transformers: 0.4.0
  - pytorch-ignite: 0.5.1
  - pytorch-lightning: 2.4.0
  - pytorch-msssim: 1.0.0
  - pytorch-pfn-extras: 0.7.7
  - pytorchvideo: 0.1.5
  - pyturbojpeg: 1.7.7
  - pytz: 2024.2
  - pyuca: 1.2
  - pyxdg: 0.28
  - pyyaml: 6.0.2
  - pyzmq: 26.2.0
  - qdarkstyle: 3.2.3
  - qdldl: 0.1.7.post4
  - qstylizer: 0.2.2
  - qtawesome: 1.3.1
  - qtconsole: 5.6.0
  - qtpy: 2.4.1
  - qudida: 0.0.4
  - rasterio: 1.4.1
  - rawpy: 0.23.1
  - ray: 2.37.0
  - rdkit-pypi: 2022.9.5
  - readme-renderer: 44.0
  - referencing: 0.35.1
  - regex: 2024.9.11
  - requests: 2.32.3
  - requests-oauthlib: 2.0.0
  - requests-toolbelt: 1.0.0
  - responses: 0.13.3
  - restrictedpython: 7.4
  - rfc3339-validator: 0.1.4
  - rfc3986: 2.0.0
  - rfc3986-validator: 0.1.1
  - rich: 13.9.2
  - robust-laplacian: 0.2.7
  - rope: 1.13.0
  - rpds-py: 0.20.0
  - rsa: 4.7.2
  - rtree: 1.3.0
  - ruamel.yaml: 0.18.6
  - ruamel.yaml.clib: 0.2.8
  - ruff: 0.7.0
  - runstats: 2.0.0
  - s3transfer: 0.10.3
  - sacremoses: 0.0.53
  - safetensors: 0.4.5
  - scalene: 1.5.45
  - scikit-image: 0.24.0
  - scikit-learn: 1.5.2
  - scipy: 1.14.1
  - scs: 3.2.7
  - seaborn: 0.13.2
  - secretstorage: 3.3.3
  - segmentation-models-pytorch: 0.3.4
  - semantic-version: 2.10.0
  - send2trash: 1.8.3
  - sentence-transformers: 3.2.0
  - sentencepiece: 0.2.0
  - sentinelhub: 3.11.1
  - sentry-sdk: 2.17.0
  - setproctitle: 1.3.3
  - setuptools: 75.1.0
  - shap: 0.46.0
  - shapely: 2.0.6
  - shellingham: 1.5.4
  - shtab: 1.7.1
  - simplegeneric: 0.8.1
  - simpleitk: 2.4.0
  - simplejson: 3.19.3
  - singledispatch: 3.7.0
  - six: 1.16.0
  - slicer: 0.0.8
  - smart-open: 7.0.5
  - smmap: 5.0.1
  - sniffio: 1.3.1
  - snowballstemmer: 2.2.0
  - softadapt: 0.0.5
  - sortedcontainers: 2.4.0
  - soundfile: 0.12.1
  - soupsieve: 2.6
  - soxr: 0.5.0.post1
  - spacy: 3.7.5
  - spacy-legacy: 3.0.12
  - spacy-loggers: 1.0.5
  - spatialite: 0.0.3
  - spconv-cu120: 2.3.6
  - speechbrain: 1.0.1
  - sphinx: 7.3.7
  - sphinxcontrib-applehelp: 2.0.0
  - sphinxcontrib-devhelp: 2.0.0
  - sphinxcontrib-htmlhelp: 2.1.0
  - sphinxcontrib-jsmath: 1.0.1
  - sphinxcontrib-qthelp: 2.0.0
  - sphinxcontrib-serializinghtml: 2.0.0
  - sphinxcontrib-websupport: 1.2.4
  - spyder: 6.0.1
  - spyder-kernels: 3.0.0
  - sqlalchemy: 2.0.36
  - sqlparse: 0.5.1
  - srsly: 2.4.8
  - stack-data: 0.6.3
  - starlette: 0.40.0
  - statsmodels: 0.14.4
  - stringzilla: 3.10.4
  - superqt: 0.6.7
  - svg.path: 6.3
  - swifter: 1.4.0
  - sympy: 1.13.3
  - tabulate: 0.9.0
  - tb-nightly: 2.19.0a20241017
  - tblib: 1.7.0
  - tenacity: 8.5.0
  - tensorboard: 2.18.0
  - tensorboard-data-server: 0.7.2
  - tensorboardx: 2.6.2.2
  - termcolor: 2.1.0
  - terminado: 0.18.1
  - terminaltables: 3.1.10
  - text-unidecode: 1.3
  - textdistance: 4.6.3
  - textual: 0.83.0
  - thinc: 8.2.5
  - threadpoolctl: 3.5.0
  - three-merge: 0.1.1
  - tifffile: 2024.9.20
  - tiktoken: 0.7.0
  - timm: 0.9.7
  - tinycss2: 1.3.0
  - tinycudann: 1.7
  - tokenizers: 0.19.1
  - tomli: 2.0.2
  - tomli-w: 1.1.0
  - tomlkit: 0.12.0
  - toolwrapper: 2.1.0
  - toolz: 0.12.0
  - torch: 2.4.0
  - torch-cluster: 1.6.3
  - torch-ema: 0.3
  - torch-geometric: 2.6.1
  - torch-scatter: 2.1.2
  - torch-sparse: 0.6.18
  - torch-spline-conv: 1.2.2
  - torch-tb-profiler: 0.4.3
  - torchao: 0.6.1
  - torchaudio: 2.4.0a0+69d4077
  - torchdata: 0.8.0
  - torchensemble: 0.2.0
  - torchinfo: 1.8.0
  - torchio: 0.20.1
  - torchmetrics: 1.4.3
  - torchtune: 0.3.1
  - torchvision: 0.19.0a0
  - torchviz: 0.0.2
  - tornado: 6.4.1
  - tqdm: 4.66.5
  - traitlets: 5.14.3
  - transformers: 4.44.1
  - trimesh: 4.5.0
  - triton: 3.1.0
  - twine: 5.1.1
  - typeguard: 4.3.0
  - typer: 0.12.5
  - types-dataclasses: 0.6.6
  - types-python-dateutil: 2.9.0.20241003
  - typing-extensions: 4.12.2
  - typing-inspect: 0.9.0
  - tyro: 0.8.12
  - tzdata: 2024.2
  - uc-micro-py: 1.0.3
  - uctools: 1.3.0
  - ujson: 5.10.0
  - ultralytics: 8.3.15
  - ultralytics-thop: 2.0.9
  - umap-learn: 0.5.6
  - unicodecsv: 0.14.1
  - unidecode: 1.3.8
  - uri-template: 1.3.0
  - urllib3: 2.2.3
  - utm: 0.7.0
  - uvicorn: 0.32.0
  - uvloop: 0.19.0
  - vhacdx: 0.0.8.post1
  - virtualenv: 20.27.0
  - vllm-flash-attn: 2.6.1
  - wandb: 0.19.7
  - wasabi: 1.1.3
  - watchdog: 5.0.3
  - watchfiles: 0.24.0
  - wcwidth: 0.2.13
  - weasel: 0.4.1
  - webcolors: 24.8.0
  - webdataset: 0.2.100
  - webencodings: 0.5.1
  - websocket-client: 1.8.0
  - websockets: 12.0
  - werkzeug: 3.0.4
  - whatthepatch: 1.0.6
  - wheel: 0.44.0
  - widgetsnbextension: 4.0.13
  - wrapt: 1.16.0
  - wurlitzer: 3.1.1
  - xarray: 2024.9.0
  - xatlas: 0.0.9
  - xeus-python: 0.15.12
  - xeus-python-shell: 0.5.0
  - xformers: 0.0.27.post2
  - xgboost: 2.0.0
  - xlsxwriter: 3.1.1
  - xlwt: 1.3.0
  - xmltodict: 0.13.0
  - xxhash: 2.0.2
  - xyzservices: 2024.9.0
  - yacs: 0.1.8
  - yapf: 0.40.2
  - yarl: 1.15.3
  - zict: 3.0.0
  - zipp: 3.20.2
• System:
  - OS: Linux
  - architecture:
  - 64bit
  - ELF
  - processor: x86_64
  - python: 3.11.5
  - release: 5.14.0-284.55.1.el9_2.x86_64
  - version: Proposal for help #1 SMP PREEMPT_DYNAMIC Mon Feb 19 16:57:59 EST 2024

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