30567a8d317e862a72f8ad69563659d78d3c11c4,nussl/ml/train/closures.py,Closure,__init__,#Closure#,63

Before Change

        self.losses = []
        for key, val in loss_dictionary.items():
            if "class" in val:
                loss_class = getattr(loss, val["class"])
            else:
                loss_class = getattr(loss, key)
            weight = 1 if "weight" not in val else val["weight"]
            keys = loss_class.DEFAULT_KEYS if "keys" not in val else val["keys"]
            args = [] if "args" not in val else val["args"]
            kwargs = {} if "kwargs" not in val else val["kwargs"]

After Change

            loss_class = getattr(loss, _loss_name)
            weight = 1 if "weight" not in val else val["weight"]
            keys = loss_class.DEFAULT_KEYS if "keys" not in val else val["keys"]
            args = [] if "args" not in val else copy.deepcopy(val["args"])
            kwargs = {} if "kwargs" not in val else copy.deepcopy(val["kwargs"])
            if _loss_name in ["CombinationInvariantLoss", "PermutationInvariantLoss"]:
                args[0] = getattr(loss, args[0])()

Instances