Files
faceswap/docs/conf.py
torzdf 837bc2d51d Faceswap 3 (#1516)
* FaceSwap 3 (#1515)
* Update extract pipeline
* Update requirements + setup for nvidia
* Remove allow-growth option
* tf.keras to keras updates
* lib.model.losses - Port + fix all loss functions for Keras3
* lib.model - port initializers, layers. normalization to Keras3
* lib.model.autoclip to Keras 3
* Update mixed precision layer storage
* model file to .keras format
* Restructure nn_blocks to initialize layers in __init__
* Tensorboard
  - Trainer: Add Torch compatible Tensorboard callbacks
  - GUI event reader remove TF dependency
* Loss logging
  - Flush TB logs on save
  - Replace TB live iterator for GUI
* Backup models on total loss drop rather than per side
* Update all models to Keras3 Compat
* Remove lib.model.session
* Update clip ViT to Keras 3
* plugins.extract.mask.unet-dfl - Fix for Keras3/Torch backend
* Port AdaBelief to Keras 3
* setup.py:
  - Add --dev flag for dev tool install
* Fix Keras 3 syntax
* Fix LR Finder for Keras 3
* Fix mixed precision switching for Keras  3
* Add more optimizers + open up config setting
* train: Remove updating FS1 weights to FS2 models
* Alignments: Remove support for legacy .json files
* tools.model:
  - Remove TF Saved Format saving
  - Fix Backup/Restore + Nan-Scan
* Fix inference model creation for Keras 3
* Preview tool: Fix for Keras3
* setup.py: Configure keras backend
* train: Migration of FS2 models to FS3
* Training: Default coverage to 100%
* Remove DirectML backend
* Update setup for MacOS
* GUI: Force line reading to UTF-8
* Remove redundant Tensorflow references
* Remove redundant code
* Legacy model loading: Fix TFLamdaOp scalar ops and DepthwiseConv2D
* Add vertical offset option for training
* Github actions: Add more python versions
* Add python version to workflow names
* Github workflow: Exclude Python 3.12 for macOS
* Implement custom training loop
* Fs3 - Add RTX5xxx and ROCm 6.1-6.4 support (#1511)
* setup.py: Add Cuda/ROCm version select options
* bump minimum python version to 3.11
* Switch from setup.cgf to pyproject.toml
* Documentation: Update all docs to use automodapi
* Allow sysinfo to run with missing packages + correctly install tk under Linux
* Bugfix: dot naming convention in clip models
* lib.config: Centralise globally rather than passing as object
- Add torch DataParallel for multi-gpu training
  - GUI: Group switches together when generating cli args
  - CLI: Remove deprecated multi-character argparse args
  - Refactor:
    - Centralise tensorboard reading/writing + unit tests
    - Create trainer plugin interfaces + add original + distributed
* Update installers
2025-12-21 02:45:11 +00:00

129 lines
4.4 KiB
Python

# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- 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.
# NOTE: To generate docs:
# $ cd docs
# $ rm -rf _build api
# $ python -m sphinx -T -b html -d _build/doctrees -D language=en . _build/output/html
# pylint:skip-file
import logging
import os
import sys
from unittest import mock
os.environ["FACESWAP_BACKEND"] = "cpu"
os.environ["KERAS_BACKEND"] = "torch"
sys.path.insert(0, os.path.abspath('../'))
sys.setrecursionlimit(1500)
MOCK_MODULES = ["pynvml", "ctypes.windll", "comtypes"]
for mod_name in MOCK_MODULES:
sys.modules[mod_name] = mock.Mock()
# -- Project information -----------------------------------------------------
project = 'faceswap'
copyright = '2025, faceswap.dev'
author = 'faceswap.dev'
# The full version, including alpha/beta/rc tags
release = '3.0'
# -- General configuration ---------------------------------------------------
# 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.napoleon', "sphinx_automodapi.automodapi"]
napoleon_custom_sections = ['License']
numpydoc_show_class_members = False
automodsumm_inherited_members = True
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# 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 = ['_build', 'Thumbs.db', '.DS_Store']
# -- Options for HTML output -------------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'sphinx_rtd_theme'
html_theme_options = {
'analytics_id': 'UA-145659566-2',
'logo_only': True,
# Toc options
'navigation_depth': -1,
}
html_logo = '_static/logo.png'
latext_logo = '_static/logo.png'
# 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']
master_doc = 'index'
# Suppress warnings from all 3rd party libraries
_suppressed_warning_count = 0
def _suppress_third_party_warnings():
""" Override Sphinx logging to ignore any warnings generated by 3rd party libraries """
skip = ["lib/python", "site-packages", # system packages/python lib
".variables", ".non_trainable_variables"] # keras layer inheritance
root = logging.getLogger("sphinx")
for handler in root.handlers:
orig_emit = handler.emit
def make_filtered_emit(orig_emit):
def filtered_emit(record):
if record.levelname in ("WARNING", "ERROR"):
try:
msg = record.getMessage()
except TypeError:
orig_emit(record)
return
loc = getattr(record, "location", "")
if any(x in msg or x in str(loc) for x in skip):
global _suppressed_warning_count
_suppressed_warning_count += 1
return
orig_emit(record)
return filtered_emit
handler.emit = make_filtered_emit(orig_emit)
def _on_build_finish(app, exception):
""" Subtract our suppressed warnings from the total warnings count """
if hasattr(app, "_warncount") and _suppressed_warning_count:
setattr(app, "_warncount", max(0,
getattr(app,
"_warncount", 0) - _suppressed_warning_count))
def setup(app):
""" Install our warnings filter and capture suppressed counts """
_suppress_third_party_warnings()
app.connect("build-finished", _on_build_finish)