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add 'padding_idx=0' for BertEmbeddings

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This commit is contained in:
Haozhe Ji
2019-03-07 20:02:55 +08:00
committed by GitHub
parent 7cc35c3104
commit 72fa8d03a7
1 changed files with 3 additions and 3 deletions
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6
pytorch_pretrained_bert/modeling.py
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@@ -238,9 +238,9 @@ class BertEmbeddings(nn.Module):
"""
def __init__(self, config):
super(BertEmbeddings, self).__init__()
self.word_embeddings = nn.Embedding(config.vocab_size, config.hidden_size)
self.position_embeddings = nn.Embedding(config.max_position_embeddings, config.hidden_size)
self.token_type_embeddings = nn.Embedding(config.type_vocab_size, config.hidden_size)
self.word_embeddings = nn.Embedding(config.vocab_size, config.hidden_size, padding_idx=0)
self.position_embeddings = nn.Embedding(config.max_position_embeddings, config.hidden_size, padding_idx=0)
self.token_type_embeddings = nn.Embedding(config.type_vocab_size, config.hidden_size, padding_idx=0)
# self.LayerNorm is not snake-cased to stick with TensorFlow model variable name and be able to load
# any TensorFlow checkpoint file