deep_privacy2 / dp2 /utils /__init__.py
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import pathlib
from tops.config import LazyConfig
from .torch_utils import (
im2torch, im2numpy, denormalize_img, set_requires_grad, forward_D_fake,
binary_dilation, crop_box, remove_pad,
torch_wasserstein_loss
)
from .ema import EMA
from .utils import init_tops, tqdm_, print_config, config_to_str, trange_
from .cse import from_E_to_vertex
def load_config(config_path):
config_path = pathlib.Path(config_path)
assert config_path.is_file(), config_path
cfg = LazyConfig.load(str(config_path))
cfg.output_dir = pathlib.Path(str(config_path).replace("configs", str(cfg.common.output_dir)).replace(".py", ""))
if cfg.common.experiment_name is None:
cfg.experiment_name = str(config_path)
else:
cfg.experiment_name = cfg.common.experiment_name
cfg.checkpoint_dir = cfg.output_dir.joinpath("checkpoints")
print("Saving outputs to:", cfg.output_dir)
return cfg