60fa2cc0b9c336d86b9dc3887cc73753077b41c4,deepmatcher/models/_utils.py,,sequence_mask,#Any#Any#,11

Before Change

    max_len = max_len or lengths.max()
    mask = (torch.arange(0, max_len).type_as(lengths).repeat(batch_size, 1).lt(
        lengths.unsqueeze(1)))
    pdb.set_trace()
    return mask


def get_module(cls, op, required=False, op_kwarg=None, **kwargs):

After Change

    
    batch_size = lengths.numel()
    max_len = max_len or lengths.max()
    return (torch.arange(0, max_len).type_as(lengths).repeat(batch_size, 1).lt(
        lengths.unsqueeze(1)))


def get_module(cls, op, required=False, op_kwarg=None, **kwargs):
    if op is None and not required or isinstance(op, cls):

Instances