File size: 6,327 Bytes
43b7e92
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
# coding=utf-8
# Copyright 2024 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
    while not lines[line_index].startswith("if TYPE_CHECKING"):
        line_index += 1

    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 len(lines[line_index]) <= 1 or lines[line_index].startswith(" " * 8):
                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(" " * 12):
                    objects.append(line[12:-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)