iperov 1f2b1481ef now you can train models on multiple GPU's on same workspace without cloning any folders. ... Model files names will be prefixed with GPU index if GPU choosed explicitly on train/convert start. if you leave GPU idx choice default, then best GPU idx will be choosed and model file names will not contain index prefix. It gives you possibility to train same fake with various models or options on multiple GPUs. H64 and H128: now you can choose 'Lighter autoencoder'. It is same as vram gb <= 4 before this update. added archived_models.zip contains old experiments RecycleGAN: archived devicelib: if your system has no NVML installed (some old cards), then it will work with gpu_idx=0 as 'Generic GeForce GPU' with 2GB vram. refactorings		2019-01-14 10:48:23 +04:00
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__init__.py	initial	2018-06-04 17:12:43 +04:00
Model.py	now you can train models on multiple GPU's on same workspace without cloning any folders.	2019-01-14 10:48:23 +04:00