dad75ba3efc4fb3e244288f99ed09d1d125c49cf,baseline/pytorch/embeddings.py,,_mean_pool,#Any#Any#,211

Before Change

def _mean_pool(_, embeddings):
    return torch.mean(embeddings, 1, False)


def _max_pool(_, embeddings):
    return torch.max(embeddings, 1, False)[0]

After Change

def _mean_pool(inputs, embeddings):
    mask = (inputs != 0)
    seq_lengths = mask.sum(1).float()
    embeddings = embeddings.masked_fill(mask.unsqueeze(-1) == False, 0.)
    return embeddings.sum(1)/seq_lengths.unsqueeze(-1)


def _max_pool(inputs, embeddings):

Instances