mirror of
https://github.com/zebrajr/faceswap.git
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837bc2d51d
* 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
40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
#!/usr/bin/env python3
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""" Sanity checks for Faceswap. """
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import inspect
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import sys
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import pytest
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import keras
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import torch
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from lib.utils import get_backend
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from lib.system.system import VALID_KERAS, VALID_PYTHON, VALID_TORCH
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_BACKEND = get_backend().upper()
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_LIBS = (VALID_KERAS + (keras.__version__, ),
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VALID_PYTHON + (sys.version, ),
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VALID_TORCH + (torch.__version__, ))
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_IDS = [f"{x}[{_BACKEND}" for x in ("keras", "python", "torch")]
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@pytest.mark.parametrize(["min_vers", "max_vers", "installed_vers"], _LIBS, ids=_IDS)
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def test_libraries(min_vers: tuple[int, int],
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max_vers: tuple[int, int],
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installed_vers: str) -> None:
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""" Sanity check to ensure that we are running on a valid libraries """
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installed = tuple(int(x) for x in installed_vers.split(".")[:2])
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assert min_vers <= installed <= max_vers
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@pytest.mark.parametrize('dummy', [None], ids=[_BACKEND])
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def test_backend(dummy): # pylint:disable=unused-argument
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""" Sanity check to ensure that Keras backend is returning the correct object type. """
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with keras.device("cpu"):
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test_var = keras.Variable((1, 1, 4, 4), trainable=False)
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mod = inspect.getmodule(test_var)
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assert mod is not None
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lib = mod.__name__.split(".")[0]
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assert lib == "keras"
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