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Model swapout is a feature where, at specified intervals, a random D and G model will be swapped in place for the one being trained. After a short period of time, this model is swapped back out. This is intended to increase training diversity. |
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| .. | ||
| test | ||
| train | ||
| __init__.py | ||
| options.py | ||