59d4bbaaf06850e2dfb357855f50b05f6c9aadb1,syft/frameworks/torch/fl/utils.py,,add_model,#Any#Any#,32

Before Change

    with torch.no_grad():
        for name1, param1 in params1:
            if name1 in dict_params2:
                dict_params2[name1].set_(param1.data + dict_params2[name1].data)
    return dst_model


def scale_model(model, scale):

After Change

    with torch.no_grad():
        for name1 in params1:
            if name1 in params2:
                params1[name1] = params1[name1] + params2[name1]
    model = copy.deepcopy(dst_model)
    model.load_state_dict(params1, strict=False)
    return model

Instances