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Remove redundant layer norm operation #67

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Remove redundant layer norm operation #67

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4 changes: 0 additions & 4 deletions bing_bert/nvidia/modelingpreln.py
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Original file line number Diff line number Diff line change
Expand Up @@ -393,9 +393,6 @@ def __init__(self, config):
self.token_type_embeddings = nn.Embedding(config.type_vocab_size,
config.hidden_size)

# self.LayerNorm is not snake-cased to stick with TensorFlow model variable name and be able to load
# any TensorFlow checkpoint file
self.LayerNorm = BertLayerNorm(config.hidden_size, eps=1e-12)
self.dropout = nn.Dropout(config.hidden_dropout_prob)

def forward(self, input_ids, token_type_ids=None):
Expand All @@ -412,7 +409,6 @@ def forward(self, input_ids, token_type_ids=None):
token_type_embeddings = self.token_type_embeddings(token_type_ids)

embeddings = words_embeddings + position_embeddings + token_type_embeddings
embeddings = self.LayerNorm(embeddings)
embeddings = self.dropout(embeddings)
return embeddings

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