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conf.py
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conf.py
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# -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/stable/config
# -- Path setup --------------------------------------------------------------
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
import os
import shutil
import sys
sys.path.insert(0, os.path.abspath("../.."))
from datetime import datetime
import pytorch_sphinx_theme
import ignite
# -- Project information -----------------------------------------------------
project = "PyTorch-Ignite"
author = "PyTorch-Ignite Contributors"
copyright = f"{datetime.now().year}, {author}"
# The short X.Y version
try:
version = os.environ["code_version"]
except KeyError:
version = ignite.__version__
# The full version, including alpha/beta/rc tags
release = version
# -- General configuration ---------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
"sphinx.ext.autodoc",
"sphinx.ext.autosummary",
"sphinx.ext.doctest",
"sphinx.ext.intersphinx",
"sphinx.ext.todo",
"sphinx.ext.coverage",
"sphinxcontrib.katex",
"sphinx.ext.napoleon",
"sphinx.ext.viewcode",
"sphinx.ext.autosectionlabel",
"sphinx_copybutton",
"sphinx_togglebutton",
"sphinx_design",
]
# toggle button hint text
togglebutton_hint = "Show default setup"
togglebutton_hint_hide = "Hide default setup"
# Copy defaults.rst to source/generated to be discoverable in docstrings
# Skip this step for previous versions of ignite
if os.path.exists("defaults.rst"):
src_folder = os.path.dirname(__file__)
gen_folder = os.path.join(src_folder, "generated")
os.makedirs(gen_folder, exist_ok=True)
shutil.copy(os.path.join(src_folder, "defaults.rst"), gen_folder)
# katex options
katex_prerender = True
# Add any paths that contain templates here, relative to this directory.
templates_path = ["_templates"]
# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
#
# source_suffix = ['.rst', '.md']
source_suffix = ".rst"
# The master toctree document.
master_doc = "index"
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = "en"
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This pattern also affects html_static_path and html_extra_path .
exclude_patterns = []
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = "sphinx"
# -- Options for HTML output -------------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
html_title = f"{project} {version} Documentation"
html_theme = "pytorch_sphinx_theme"
html_theme_path = [pytorch_sphinx_theme.get_html_theme_path()]
html_theme_options = {
"canonical_url": "https://pytorch.org/ignite/",
"collapse_navigation": False,
"display_version": True,
"logo_only": True,
"navigation_with_keys": True,
}
html_logo = "_templates/_static/img/ignite_logo.svg"
html_favicon = "_templates/_static/img/ignite_logomark.svg"
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#
# html_theme_options = {}
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ["_static", "_templates/_static"]
html_context = {
"extra_css_files": [
# 'https://fonts.googleapis.com/css?family=Lato',
# '_static/css/pytorch_theme.css'
"_static/css/ignite_theme.css",
"https://cdn.jsdelivr.net/npm/@docsearch/css@3",
],
}
html_last_updated_fmt = "%m/%d/%Y, %X"
html_permalinks = True
html_permalinks_icon = "#"
# -- Options for HTMLHelp output ---------------------------------------------
# Output file base name for HTML help builder.
htmlhelp_basename = "ignitedoc"
# -- Options for LaTeX output ------------------------------------------------
latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#
# 'papersize': 'letterpaper',
# The font size ('10pt', '11pt' or '12pt').
#
# 'pointsize': '10pt',
# Additional stuff for the LaTeX preamble.
#
# 'preamble': '',
# Latex figure (float) alignment
#
# 'figure_align': 'htbp',
}
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
# author, documentclass [howto, manual, or own class]).
latex_documents = [
(master_doc, "ignite.tex", "ignite Documentation", "Torch Contributors", "manual"),
]
# -- Options for manual page output ------------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [(master_doc, "ignite", "ignite Documentation", [author], 1)]
# -- Options for Texinfo output ----------------------------------------------
# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [
(
master_doc,
"ignite",
"ignite Documentation",
author,
"ignite",
"One line description of project.",
"Miscellaneous",
),
]
# -- Extension configuration -------------------------------------------------
# -- Options for intersphinx extension ---------------------------------------
# Example configuration for intersphinx: refer to the Python standard library.
intersphinx_mapping = {
"python": ("https://docs.python.org/3", None),
"torch": ("https://pytorch.org/docs/stable/", None),
}
# -- Options for todo extension ----------------------------------------------
# If true, `todo` and `todoList` produce output, else they produce nothing.
todo_include_todos = True
# -- Type hints configs ------------------------------------------------------
autodoc_inherit_docstrings = True
autoclass_content = "both"
autodoc_typehints = "description"
napoleon_attr_annotations = True
# -- Autosummary patch to get list of a classes, funcs automatically ----------
from importlib import import_module
from inspect import getmembers, isclass, isfunction
from docutils.parsers.rst import directives
from docutils.statemachine import StringList
from sphinx.ext.autosummary import Autosummary
class AutolistAutosummary(Autosummary):
"""Autosummary with autolisting for modules.
By default it tries to import all public names (__all__),
otherwise import all classes and/or functions in a module.
Options:
- :autolist: option to get list of classes and functions from currentmodule.
- :autolist-classes: option to get list of classes from currentmodule.
- :autolist-functions: option to get list of functions from currentmodule.
Example Usage:
.. currentmodule:: ignite.metrics
.. autosummary::
:nosignatures:
:autolist:
"""
# Add new option
_option_spec = Autosummary.option_spec.copy()
_option_spec.update(
{
"autolist": directives.unchanged,
"autolist-classes": directives.unchanged,
"autolist-functions": directives.unchanged,
}
)
option_spec = _option_spec
def run(self):
for auto in ("autolist", "autolist-classes", "autolist-functions"):
if auto in self.options:
# Get current module name
module_name = self.env.ref_context.get("py:module")
# Import module
module = import_module(module_name)
# Get public names (if possible)
try:
names = getattr(module, "__all__")
except AttributeError:
# Get classes defined in the module
cls_names = [
name[0]
for name in getmembers(module, isclass)
if name[-1].__module__ == module_name and not (name[0].startswith("_"))
]
# Get functions defined in the module
fn_names = [
name[0]
for name in getmembers(module, isfunction)
if (name[-1].__module__ == module_name) and not (name[0].startswith("_"))
]
names = cls_names + fn_names
# It may happen that module doesn't have any defined class or func
if not names:
names = [name[0] for name in getmembers(module)]
# Filter out members w/o doc strings
filtered_names = []
for name in names:
try:
if not name.startswith("_") and getattr(module, name).__doc__ is not None:
filtered_names.append(name)
except AttributeError:
continue
names = filtered_names
if auto == "autolist":
# Get list of all classes and functions inside module
names = [
name for name in names if (isclass(getattr(module, name)) or isfunction(getattr(module, name)))
]
else:
if auto == "autolist-classes":
# Get only classes
check = isclass
elif auto == "autolist-functions":
# Get only functions
check = isfunction
else:
raise NotImplementedError
names = [name for name in names if check(getattr(module, name))]
# Update content
self.content = StringList(names)
return super().run()
# --- autosummary config -----------------------------------------------------
autosummary_generate = True
# --- nitpicky config : check internal links are correct or not --------------
nitpicky = True
# ignore links which can't be referenced
nitpick_ignore = [
("py:class", ".."),
("py:class", "TextIO"),
("py:class", "torch.device"),
("py:class", "_MpDeviceLoader"),
("py:class", "torch.nn.modules.module.Module"),
("py:class", "torch.optim.optimizer.Optimizer"),
("py:class", "torch.utils.data.dataset.Dataset"),
("py:class", "torch.utils.data.sampler.BatchSampler"),
("py:class", "torch.cuda.amp.grad_scaler.GradScaler"),
("py:class", "torch.optim.lr_scheduler._LRScheduler"),
("py:class", "torch.optim.lr_scheduler.LRScheduler"),
("py:class", "torch.utils.data.dataloader.DataLoader"),
]
linkcheck_ignore = [
"https://github.com/fossasia/visdom#visdom-arguments-python-only",
"https://github.com/pytorch/ignite/tree/master/examples/cifar10#check-resume-training",
"https://github.com/pytorch/ignite/tree/master/examples/mnist#training-save--resume",
"https://machinelearningmastery.com/gentle-introduction-backpropagation-time/",
]
def setup(app):
app.add_directive("autosummary", AutolistAutosummary, override=True)