load_model.py 文件源码

def do_checkpoint(prefix):
    """Callback to checkpoint the model to prefix every epoch.

    Parameters
    ----------
    prefix : str
        The file prefix to checkpoint to

    Returns
    -------
    callback : function
        The callback function that can be passed as iter_end_callback to fit.
    """
    def _callback(iter_no, sym, arg, aux):
        #if config.TRAIN.BBOX_NORMALIZATION_PRECOMPUTED:
        #    print "save model with mean/std"
        #    num_classes = len(arg['bbox_pred_bias'].asnumpy()) / 4
        #    means = np.tile(np.array(config.TRAIN.BBOX_MEANS), (1, num_classes))
        #    stds = np.tile(np.array(config.TRAIN.BBOX_STDS), (1, num_classes))
        #    arg['bbox_pred_weight'] = (arg['bbox_pred_weight'].T * mx.nd.array(stds)).T
        #    arg['bbox_pred_bias'] = arg['bbox_pred_bias'] * mx.nd.array(np.squeeze(stds)) + \
        #                                   mx.nd.array(np.squeeze(means))
        """The checkpoint function."""
        save_checkpoint(prefix, iter_no + 1, sym, arg, aux)
    return _callback