From 4a52a71956a8d46fcb7294ac71734504bb09bcc2 Mon Sep 17 00:00:00 2001 From: S. Solomon Darnell Date: Fri, 28 Mar 2025 21:52:21 -0500 Subject: two version of R2R are here --- .../huggingface_hub/_tensorboard_logger.py | 194 +++++++++++++++++++++ 1 file changed, 194 insertions(+) create mode 100644 .venv/lib/python3.12/site-packages/huggingface_hub/_tensorboard_logger.py (limited to '.venv/lib/python3.12/site-packages/huggingface_hub/_tensorboard_logger.py') diff --git a/.venv/lib/python3.12/site-packages/huggingface_hub/_tensorboard_logger.py b/.venv/lib/python3.12/site-packages/huggingface_hub/_tensorboard_logger.py new file mode 100644 index 00000000..5e910972 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/huggingface_hub/_tensorboard_logger.py @@ -0,0 +1,194 @@ +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Contains a logger to push training logs to the Hub, using Tensorboard.""" + +from pathlib import Path +from typing import TYPE_CHECKING, List, Optional, Union + +from ._commit_scheduler import CommitScheduler +from .errors import EntryNotFoundError +from .repocard import ModelCard +from .utils import experimental + + +# Depending on user's setup, SummaryWriter can come either from 'tensorboardX' +# or from 'torch.utils.tensorboard'. Both are compatible so let's try to load +# from either of them. +try: + from tensorboardX import SummaryWriter + + is_summary_writer_available = True + +except ImportError: + try: + from torch.utils.tensorboard import SummaryWriter + + is_summary_writer_available = False + except ImportError: + # Dummy class to avoid failing at import. Will raise on instance creation. + SummaryWriter = object + is_summary_writer_available = False + +if TYPE_CHECKING: + from tensorboardX import SummaryWriter + + +class HFSummaryWriter(SummaryWriter): + """ + Wrapper around the tensorboard's `SummaryWriter` to push training logs to the Hub. + + Data is logged locally and then pushed to the Hub asynchronously. Pushing data to the Hub is done in a separate + thread to avoid blocking the training script. In particular, if the upload fails for any reason (e.g. a connection + issue), the main script will not be interrupted. Data is automatically pushed to the Hub every `commit_every` + minutes (default to every 5 minutes). + + + + `HFSummaryWriter` is experimental. Its API is subject to change in the future without prior notice. + + + + Args: + repo_id (`str`): + The id of the repo to which the logs will be pushed. + logdir (`str`, *optional*): + The directory where the logs will be written. If not specified, a local directory will be created by the + underlying `SummaryWriter` object. + commit_every (`int` or `float`, *optional*): + The frequency (in minutes) at which the logs will be pushed to the Hub. Defaults to 5 minutes. + squash_history (`bool`, *optional*): + Whether to squash the history of the repo after each commit. Defaults to `False`. Squashing commits is + useful to avoid degraded performances on the repo when it grows too large. + repo_type (`str`, *optional*): + The type of the repo to which the logs will be pushed. Defaults to "model". + repo_revision (`str`, *optional*): + The revision of the repo to which the logs will be pushed. Defaults to "main". + repo_private (`bool`, *optional*): + Whether to make the repo private. If `None` (default), the repo will be public unless the organization's default is private. This value is ignored if the repo already exists. + path_in_repo (`str`, *optional*): + The path to the folder in the repo where the logs will be pushed. Defaults to "tensorboard/". + repo_allow_patterns (`List[str]` or `str`, *optional*): + A list of patterns to include in the upload. Defaults to `"*.tfevents.*"`. Check out the + [upload guide](https://huggingface.co/docs/huggingface_hub/guides/upload#upload-a-folder) for more details. + repo_ignore_patterns (`List[str]` or `str`, *optional*): + A list of patterns to exclude in the upload. Check out the + [upload guide](https://huggingface.co/docs/huggingface_hub/guides/upload#upload-a-folder) for more details. + token (`str`, *optional*): + Authentication token. Will default to the stored token. See https://huggingface.co/settings/token for more + details + kwargs: + Additional keyword arguments passed to `SummaryWriter`. + + Examples: + ```diff + # Taken from https://pytorch.org/docs/stable/tensorboard.html + - from torch.utils.tensorboard import SummaryWriter + + from huggingface_hub import HFSummaryWriter + + import numpy as np + + - writer = SummaryWriter() + + writer = HFSummaryWriter(repo_id="username/my-trained-model") + + for n_iter in range(100): + writer.add_scalar('Loss/train', np.random.random(), n_iter) + writer.add_scalar('Loss/test', np.random.random(), n_iter) + writer.add_scalar('Accuracy/train', np.random.random(), n_iter) + writer.add_scalar('Accuracy/test', np.random.random(), n_iter) + ``` + + ```py + >>> from huggingface_hub import HFSummaryWriter + + # Logs are automatically pushed every 15 minutes (5 by default) + when exiting the context manager + >>> with HFSummaryWriter(repo_id="test_hf_logger", commit_every=15) as logger: + ... logger.add_scalar("a", 1) + ... logger.add_scalar("b", 2) + ``` + """ + + @experimental + def __new__(cls, *args, **kwargs) -> "HFSummaryWriter": + if not is_summary_writer_available: + raise ImportError( + "You must have `tensorboard` installed to use `HFSummaryWriter`. Please run `pip install --upgrade" + " tensorboardX` first." + ) + return super().__new__(cls) + + def __init__( + self, + repo_id: str, + *, + logdir: Optional[str] = None, + commit_every: Union[int, float] = 5, + squash_history: bool = False, + repo_type: Optional[str] = None, + repo_revision: Optional[str] = None, + repo_private: Optional[bool] = None, + path_in_repo: Optional[str] = "tensorboard", + repo_allow_patterns: Optional[Union[List[str], str]] = "*.tfevents.*", + repo_ignore_patterns: Optional[Union[List[str], str]] = None, + token: Optional[str] = None, + **kwargs, + ): + # Initialize SummaryWriter + super().__init__(logdir=logdir, **kwargs) + + # Check logdir has been correctly initialized and fail early otherwise. In practice, SummaryWriter takes care of it. + if not isinstance(self.logdir, str): + raise ValueError(f"`self.logdir` must be a string. Got '{self.logdir}' of type {type(self.logdir)}.") + + # Append logdir name to `path_in_repo` + if path_in_repo is None or path_in_repo == "": + path_in_repo = Path(self.logdir).name + else: + path_in_repo = path_in_repo.strip("/") + "/" + Path(self.logdir).name + + # Initialize scheduler + self.scheduler = CommitScheduler( + folder_path=self.logdir, + path_in_repo=path_in_repo, + repo_id=repo_id, + repo_type=repo_type, + revision=repo_revision, + private=repo_private, + token=token, + allow_patterns=repo_allow_patterns, + ignore_patterns=repo_ignore_patterns, + every=commit_every, + squash_history=squash_history, + ) + + # Exposing some high-level info at root level + self.repo_id = self.scheduler.repo_id + self.repo_type = self.scheduler.repo_type + self.repo_revision = self.scheduler.revision + + # Add `hf-summary-writer` tag to the model card metadata + try: + card = ModelCard.load(repo_id_or_path=self.repo_id, repo_type=self.repo_type) + except EntryNotFoundError: + card = ModelCard("") + tags = card.data.get("tags", []) + if "hf-summary-writer" not in tags: + tags.append("hf-summary-writer") + card.data["tags"] = tags + card.push_to_hub(repo_id=self.repo_id, repo_type=self.repo_type) + + def __exit__(self, exc_type, exc_val, exc_tb): + """Push to hub in a non-blocking way when exiting the logger's context manager.""" + super().__exit__(exc_type, exc_val, exc_tb) + future = self.scheduler.trigger() + future.result() -- cgit v1.2.3