@staticmethod
def from_args(target, args: argparse.Namespace):
    'Initialize optimizer from argparse Namespace.\n\n        Args:\n            target: for pytorch `model.parameters()`,\n                for chainer `model`\n            args (argparse.Namespace): parsed command-line args\n\n        '
    return torch.optim.Adam(target, lr=args.lr, weight_decay=args.weight_decay, betas=(args.beta1, args.beta2))
Initialize optimizer from argparse Namespace.

Args:
    target: for pytorch `model.parameters()`,
        for chainer `model`
    args (argparse.Namespace): parsed command-line args
@staticmethod
def from_args(target, args: argparse.Namespace):
    'Initialize optimizer from argparse Namespace.\n\n        Args:\n            target: for pytorch `model.parameters()`,\n                for chainer `model`\n            args (argparse.Namespace): parsed command-line args\n\n        '
    return torch.optim.Adam(target, lr=args.lr, weight_decay=args.weight_decay, betas=(args.beta1, args.beta2))