106 lines
4 KiB
Python
106 lines
4 KiB
Python
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from typing import Optional
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import requests
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from huggingface_hub import Discussion, HfApi, get_repo_discussions
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from .utils import cached_file, http_user_agent, logging
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logger = logging.get_logger(__name__)
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def previous_pr(api: HfApi, model_id: str, pr_title: str, token: str) -> Optional["Discussion"]:
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main_commit = api.list_repo_commits(model_id, token=token)[0].commit_id
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for discussion in get_repo_discussions(repo_id=model_id, token=token):
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if discussion.title == pr_title and discussion.status == "open" and discussion.is_pull_request:
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commits = api.list_repo_commits(model_id, revision=discussion.git_reference, token=token)
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if main_commit == commits[1].commit_id:
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return discussion
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return None
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def spawn_conversion(token: str, private: bool, model_id: str):
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logger.info("Attempting to convert .bin model on the fly to safetensors.")
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safetensors_convert_space_url = "https://safetensors-convert.hf.space"
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sse_url = f"{safetensors_convert_space_url}/call/run"
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def start(_sse_connection):
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for line in _sse_connection.iter_lines():
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line = line.decode()
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if line.startswith("event:"):
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status = line[7:]
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logger.debug(f"Safetensors conversion status: {status}")
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if status == "complete":
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return
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elif status == "heartbeat":
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logger.debug("Heartbeat")
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else:
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logger.debug(f"Unknown status {status}")
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else:
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logger.debug(line)
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data = {"data": [model_id, private, token]}
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result = requests.post(sse_url, stream=True, json=data).json()
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event_id = result["event_id"]
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with requests.get(f"{sse_url}/{event_id}", stream=True) as sse_connection:
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try:
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logger.debug("Spawning safetensors automatic conversion.")
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start(sse_connection)
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except Exception as e:
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logger.warning(f"Error during conversion: {repr(e)}")
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def get_conversion_pr_reference(api: HfApi, model_id: str, **kwargs):
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private = api.model_info(model_id).private
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logger.info("Attempting to create safetensors variant")
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pr_title = "Adding `safetensors` variant of this model"
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token = kwargs.get("token")
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# This looks into the current repo's open PRs to see if a PR for safetensors was already open. If so, it
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# returns it. It checks that the PR was opened by the bot and not by another user so as to prevent
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# security breaches.
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pr = previous_pr(api, model_id, pr_title, token=token)
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if pr is None or (not private and pr.author != "SFconvertbot"):
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spawn_conversion(token, private, model_id)
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pr = previous_pr(api, model_id, pr_title, token=token)
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else:
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logger.info("Safetensors PR exists")
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sha = f"refs/pr/{pr.num}"
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return sha
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def auto_conversion(pretrained_model_name_or_path: str, ignore_errors_during_conversion=False, **cached_file_kwargs):
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try:
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api = HfApi(token=cached_file_kwargs.get("token"), headers={"user-agent": http_user_agent()})
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sha = get_conversion_pr_reference(api, pretrained_model_name_or_path, **cached_file_kwargs)
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if sha is None:
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return None, None
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cached_file_kwargs["revision"] = sha
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del cached_file_kwargs["_commit_hash"]
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# This is an additional HEAD call that could be removed if we could infer sharded/non-sharded from the PR
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# description.
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sharded = api.file_exists(
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pretrained_model_name_or_path,
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"model.safetensors.index.json",
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revision=sha,
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token=cached_file_kwargs.get("token"),
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)
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filename = "model.safetensors.index.json" if sharded else "model.safetensors"
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resolved_archive_file = cached_file(pretrained_model_name_or_path, filename, **cached_file_kwargs)
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return resolved_archive_file, sha, sharded
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except Exception as e:
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if not ignore_errors_during_conversion:
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raise e
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