Update convert.py
Browse files- convert.py +44 -17
convert.py
CHANGED
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@@ -5,7 +5,7 @@ import shutil
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from collections import defaultdict
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from inspect import signature
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from tempfile import TemporaryDirectory
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from typing import Dict, List, Optional, Set
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import torch
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@@ -33,6 +33,8 @@ If you find any issues: please report here: https://huggingface.co/spaces/safete
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Feel free to ignore this PR.
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"""
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class AlreadyExists(Exception):
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pass
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@@ -69,7 +71,7 @@ def rename(pt_filename: str) -> str:
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return local
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def convert_multi(model_id: str, folder: str) ->
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filename = hf_hub_download(repo_id=model_id, filename="pytorch_model.bin.index.json")
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with open(filename, "r") as f:
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data = json.load(f)
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@@ -95,18 +97,20 @@ def convert_multi(model_id: str, folder: str) -> List["CommitOperationAdd"]:
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operations = [
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CommitOperationAdd(path_in_repo=local.split("/")[-1], path_or_fileobj=local) for local in local_filenames
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]
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return operations
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def convert_single(model_id: str, folder: str) ->
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pt_filename = hf_hub_download(repo_id=model_id, filename="pytorch_model.bin")
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sf_name = "model.safetensors"
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sf_filename = os.path.join(folder, sf_name)
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convert_file(pt_filename, sf_filename)
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operations = [CommitOperationAdd(path_in_repo=sf_name, path_or_fileobj=sf_filename)]
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def convert_file(
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@@ -204,18 +208,22 @@ def check_final_model(model_id: str, folder: str):
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def previous_pr(api: "HfApi", model_id: str, pr_title: str) -> Optional["Discussion"]:
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try:
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discussions = api.get_repo_discussions(repo_id=model_id)
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except Exception:
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return None
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for discussion in discussions:
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if discussion.status == "open" and discussion.is_pull_request and discussion.title == pr_title:
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-
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return discussion
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def convert_generic(model_id: str, folder: str, filenames: Set[str]) ->
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operations = []
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extensions = set([".bin", ".ckpt"])
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for filename in filenames:
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@@ -230,12 +238,15 @@ def convert_generic(model_id: str, folder: str, filenames: Set[str]) -> List["Co
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else:
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sf_in_repo = f"{prefix}.safetensors"
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sf_filename = os.path.join(folder, sf_in_repo)
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def convert(api: "HfApi", model_id: str, force: bool = False) ->
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pr_title = "Adding `safetensors` variant of this model"
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info = api.model_info(model_id)
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filenames = set(s.rfilename for s in info.siblings)
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@@ -257,14 +268,14 @@ def convert(api: "HfApi", model_id: str, force: bool = False) -> Optional["Commi
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raise AlreadyExists(f"Model {model_id} already has an open PR check out {url}")
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elif library_name == "transformers":
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if "pytorch_model.bin" in filenames:
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operations = convert_single(model_id, folder)
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elif "pytorch_model.bin.index.json" in filenames:
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operations = convert_multi(model_id, folder)
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else:
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raise RuntimeError(f"Model {model_id} doesn't seem to be a valid pytorch model. Cannot convert")
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check_final_model(model_id, folder)
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else:
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operations = convert_generic(model_id, folder, filenames)
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if operations:
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new_pr = api.create_commit(
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@@ -279,7 +290,7 @@ def convert(api: "HfApi", model_id: str, force: bool = False) -> Optional["Commi
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print("No files to convert")
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finally:
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shutil.rmtree(folder)
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return new_pr
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if __name__ == "__main__":
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@@ -300,7 +311,23 @@ if __name__ == "__main__":
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action="store_true",
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help="Create the PR even if it already exists of if the model was already converted.",
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)
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args = parser.parse_args()
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model_id = args.model_id
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api = HfApi()
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from collections import defaultdict
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from inspect import signature
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from tempfile import TemporaryDirectory
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from typing import Dict, List, Optional, Set, Tuple
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import torch
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Feel free to ignore this PR.
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"""
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ConversionResult = Tuple[List["CommitOperationAdd"], List[Tuple[str, "Exception"]]]
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class AlreadyExists(Exception):
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pass
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return local
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def convert_multi(model_id: str, folder: str) -> ConversionResult:
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filename = hf_hub_download(repo_id=model_id, filename="pytorch_model.bin.index.json")
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with open(filename, "r") as f:
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data = json.load(f)
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operations = [
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CommitOperationAdd(path_in_repo=local.split("/")[-1], path_or_fileobj=local) for local in local_filenames
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]
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errors: List[Tuple[str, "Exception"]] = []
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return operations, errors
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def convert_single(model_id: str, folder: str) -> ConversionResult:
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pt_filename = hf_hub_download(repo_id=model_id, filename="pytorch_model.bin")
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sf_name = "model.safetensors"
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sf_filename = os.path.join(folder, sf_name)
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convert_file(pt_filename, sf_filename)
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operations = [CommitOperationAdd(path_in_repo=sf_name, path_or_fileobj=sf_filename)]
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errors: List[Tuple[str, "Exception"]] = []
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return operations, errors
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def convert_file(
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def previous_pr(api: "HfApi", model_id: str, pr_title: str) -> Optional["Discussion"]:
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try:
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main_commit = api.list_repo_commits(model_id)[0].commit_id
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discussions = api.get_repo_discussions(repo_id=model_id)
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except Exception:
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return None
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for discussion in discussions:
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if discussion.status == "open" and discussion.is_pull_request and discussion.title == pr_title:
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commits = api.list_repo_commits(model_id, revision=discussion.git_reference)
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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 convert_generic(model_id: str, folder: str, filenames: Set[str]) -> ConversionResult:
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operations = []
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errors = []
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extensions = set([".bin", ".ckpt"])
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for filename in filenames:
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else:
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sf_in_repo = f"{prefix}.safetensors"
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sf_filename = os.path.join(folder, sf_in_repo)
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try:
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convert_file(pt_filename, sf_filename)
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operations.append(CommitOperationAdd(path_in_repo=sf_in_repo, path_or_fileobj=sf_filename))
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except Exception as e:
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errors.append((pt_filename, e))
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return operations, errors
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def convert(api: "HfApi", model_id: str, force: bool = False) -> Tuple["CommitInfo", List["Exception"]]:
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pr_title = "Adding `safetensors` variant of this model"
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info = api.model_info(model_id)
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filenames = set(s.rfilename for s in info.siblings)
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raise AlreadyExists(f"Model {model_id} already has an open PR check out {url}")
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elif library_name == "transformers":
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if "pytorch_model.bin" in filenames:
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operations, errors = convert_single(model_id, folder)
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elif "pytorch_model.bin.index.json" in filenames:
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operations, errors = convert_multi(model_id, folder)
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else:
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raise RuntimeError(f"Model {model_id} doesn't seem to be a valid pytorch model. Cannot convert")
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check_final_model(model_id, folder)
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else:
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operations, errors = convert_generic(model_id, folder, filenames)
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if operations:
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new_pr = api.create_commit(
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print("No files to convert")
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finally:
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shutil.rmtree(folder)
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return new_pr, errors
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if __name__ == "__main__":
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action="store_true",
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help="Create the PR even if it already exists of if the model was already converted.",
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)
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parser.add_argument(
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"-y",
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action="store_true",
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help="Ignore safety prompt",
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)
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args = parser.parse_args()
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model_id = args.model_id
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api = HfApi()
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if args.y:
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txt = "y"
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else:
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txt = input(
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"This conversion script will unpickle a pickled file, which is inherently unsafe. If you do not trust this file, we invite you to use"
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" https://huggingface.co/spaces/safetensors/convert or google colab or other hosted solution to avoid potential issues with this file."
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" Continue [Y/n] ?"
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)
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if txt.lower() in {"", "y"}:
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_commit_info, _errors = convert(api, model_id, force=args.force)
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else:
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print(f"Answer was `{txt}` aborting.")
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