Files
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

52 lines
1.2 KiB
Python

#! /usr/env/bin/python3
""" Helper mock items for ConfigItems """
import pytest
class FakeConfigItem:
""" ConfigItem substitute"""
def __init__(self, value):
self.value = value
self._name = ""
@property
def ini_value(self):
""" Dummy ini value """
return self.value.lower() if isinstance(self.value, str) else self.value
@property
def helptext(self):
""" Dummy help text """
return f"Test helptext for {self._name}:{self.value}"
def get(self):
""" Return the value """
return self.value
def set(self, value):
""" Return the value """
self.value = value
def set_name(self, name):
""" Set the name """
self._name = name
def __call__(self):
return self.value
def __repr__(self):
return f"FakeConfigItem(value={self.value!r})"
@pytest.fixture
def patch_config(monkeypatch: pytest.MonkeyPatch):
""" Fixture to patch user config values """
def _apply(module, cfg_dict):
""" Create the fake ConfigItem object """
for key, value in cfg_dict.items():
monkeypatch.setattr(module, key, FakeConfigItem(value))
return _apply