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# coding=utf-8 | |
# Copyright 2023 The HuggingFace Inc. team. | |
# | |
# 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. | |
import argparse | |
import os | |
import re | |
# All paths are set with the intent you should run this script from the root of the repo with the command | |
# python utils/check_dummies.py | |
PATH_TO_DIFFUSERS = "src/diffusers" | |
# Matches is_xxx_available() | |
_re_backend = re.compile(r"is\_([a-z_]*)_available\(\)") | |
# Matches from xxx import bla | |
_re_single_line_import = re.compile(r"\s+from\s+\S*\s+import\s+([^\(\s].*)\n") | |
DUMMY_CONSTANT = """ | |
{0} = None | |
""" | |
DUMMY_CLASS = """ | |
class {0}(metaclass=DummyObject): | |
_backends = {1} | |
def __init__(self, *args, **kwargs): | |
requires_backends(self, {1}) | |
@classmethod | |
def from_config(cls, *args, **kwargs): | |
requires_backends(cls, {1}) | |
@classmethod | |
def from_pretrained(cls, *args, **kwargs): | |
requires_backends(cls, {1}) | |
""" | |
DUMMY_FUNCTION = """ | |
def {0}(*args, **kwargs): | |
requires_backends({0}, {1}) | |
""" | |
def find_backend(line): | |
"""Find one (or multiple) backend in a code line of the init.""" | |
backends = _re_backend.findall(line) | |
if len(backends) == 0: | |
return None | |
return "_and_".join(backends) | |
def read_init(): | |
"""Read the init and extracts PyTorch, TensorFlow, SentencePiece and Tokenizers objects.""" | |
with open(os.path.join(PATH_TO_DIFFUSERS, "__init__.py"), "r", encoding="utf-8", newline="\n") as f: | |
lines = f.readlines() | |
# Get to the point we do the actual imports for type checking | |
line_index = 0 | |
backend_specific_objects = {} | |
# Go through the end of the file | |
while line_index < len(lines): | |
# If the line contains is_backend_available, we grab all objects associated with the `else` block | |
backend = find_backend(lines[line_index]) | |
if backend is not None: | |
while not lines[line_index].startswith("else:"): | |
line_index += 1 | |
line_index += 1 | |
objects = [] | |
# Until we unindent, add backend objects to the list | |
while line_index < len(lines) and len(lines[line_index]) > 1: | |
line = lines[line_index] | |
single_line_import_search = _re_single_line_import.search(line) | |
if single_line_import_search is not None: | |
objects.extend(single_line_import_search.groups()[0].split(", ")) | |
elif line.startswith(" " * 8): | |
objects.append(line[8:-2]) | |
line_index += 1 | |
if len(objects) > 0: | |
backend_specific_objects[backend] = objects | |
else: | |
line_index += 1 | |
return backend_specific_objects | |
def create_dummy_object(name, backend_name): | |
"""Create the code for the dummy object corresponding to `name`.""" | |
if name.isupper(): | |
return DUMMY_CONSTANT.format(name) | |
elif name.islower(): | |
return DUMMY_FUNCTION.format(name, backend_name) | |
else: | |
return DUMMY_CLASS.format(name, backend_name) | |
def create_dummy_files(backend_specific_objects=None): | |
"""Create the content of the dummy files.""" | |
if backend_specific_objects is None: | |
backend_specific_objects = read_init() | |
# For special correspondence backend to module name as used in the function requires_modulename | |
dummy_files = {} | |
for backend, objects in backend_specific_objects.items(): | |
backend_name = "[" + ", ".join(f'"{b}"' for b in backend.split("_and_")) + "]" | |
dummy_file = "# This file is autogenerated by the command `make fix-copies`, do not edit.\n" | |
dummy_file += "from ..utils import DummyObject, requires_backends\n\n" | |
dummy_file += "\n".join([create_dummy_object(o, backend_name) for o in objects]) | |
dummy_files[backend] = dummy_file | |
return dummy_files | |
def check_dummies(overwrite=False): | |
"""Check if the dummy files are up to date and maybe `overwrite` with the right content.""" | |
dummy_files = create_dummy_files() | |
# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py | |
short_names = {"torch": "pt"} | |
# Locate actual dummy modules and read their content. | |
path = os.path.join(PATH_TO_DIFFUSERS, "utils") | |
dummy_file_paths = { | |
backend: os.path.join(path, f"dummy_{short_names.get(backend, backend)}_objects.py") | |
for backend in dummy_files.keys() | |
} | |
actual_dummies = {} | |
for backend, file_path in dummy_file_paths.items(): | |
if os.path.isfile(file_path): | |
with open(file_path, "r", encoding="utf-8", newline="\n") as f: | |
actual_dummies[backend] = f.read() | |
else: | |
actual_dummies[backend] = "" | |
for backend in dummy_files.keys(): | |
if dummy_files[backend] != actual_dummies[backend]: | |
if overwrite: | |
print( | |
f"Updating diffusers.utils.dummy_{short_names.get(backend, backend)}_objects.py as the main " | |
"__init__ has new objects." | |
) | |
with open(dummy_file_paths[backend], "w", encoding="utf-8", newline="\n") as f: | |
f.write(dummy_files[backend]) | |
else: | |
raise ValueError( | |
"The main __init__ has objects that are not present in " | |
f"diffusers.utils.dummy_{short_names.get(backend, backend)}_objects.py. Run `make fix-copies` " | |
"to fix this." | |
) | |
if __name__ == "__main__": | |
parser = argparse.ArgumentParser() | |
parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.") | |
args = parser.parse_args() | |
check_dummies(args.fix_and_overwrite) | |