Spaces:
Running
on
Zero
Running
on
Zero
import importlib | |
from copy import deepcopy | |
from os import path as osp | |
from basicsr.utils import get_root_logger, scandir | |
from basicsr.utils.registry import LOSS_REGISTRY | |
from .gan_loss import g_path_regularize, gradient_penalty_loss, r1_penalty | |
__all__ = ['build_loss', 'gradient_penalty_loss', 'r1_penalty', 'g_path_regularize'] | |
# automatically scan and import loss modules for registry | |
# scan all the files under the 'losses' folder and collect files ending with '_loss.py' | |
loss_folder = osp.dirname(osp.abspath(__file__)) | |
loss_filenames = [osp.splitext(osp.basename(v))[0] for v in scandir(loss_folder) if v.endswith('_loss.py')] | |
# import all the loss modules | |
_model_modules = [importlib.import_module(f'basicsr.losses.{file_name}') for file_name in loss_filenames] | |
def build_loss(opt): | |
"""Build loss from options. | |
Args: | |
opt (dict): Configuration. It must contain: | |
type (str): Model type. | |
""" | |
opt = deepcopy(opt) | |
loss_type = opt.pop('type') | |
loss = LOSS_REGISTRY.get(loss_type)(**opt) | |
logger = get_root_logger() | |
logger.info(f'Loss [{loss.__class__.__name__}] is created.') | |
return loss | |