SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Add AMP for Albert (#10141)

Browse Source
This commit is contained in:
Julien Plu
2021-02-15 17:18:33 +01:00
committed by GitHub
parent 6fc940ed09
commit 31b0560ab4
8 changed files with 415 additions and 345 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
src/transformers/models/convbert/modeling_tf_convbert.py
View File

@@ -62,11 +62,11 @@ TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST = [
]
# Copied from transformers.models.albert.modeling_tf_albert.TFAlbertEmbeddings
# Copied from transformers.models.albert.modeling_tf_albert.TFAlbertEmbeddings with Albert->ConvBert
class TFConvBertEmbeddings(tf.keras.layers.Layer):
"""Construct the embeddings from word, position and token_type embeddings."""
def __init__(self, config, **kwargs):
def __init__(self, config: ConvBertConfig, **kwargs):
super().__init__(**kwargs)
self.vocab_size = config.vocab_size
@@ -83,21 +83,21 @@ class TFConvBertEmbeddings(tf.keras.layers.Layer):
self.weight = self.add_weight(
name="weight",
shape=[self.vocab_size, self.embedding_size],
initializer=get_initializer(initializer_range=self.initializer_range),
initializer=get_initializer(self.initializer_range),
)
with tf.name_scope("token_type_embeddings"):
self.token_type_embeddings = self.add_weight(
name="embeddings",
shape=[self.type_vocab_size, self.embedding_size],
initializer=get_initializer(initializer_range=self.initializer_range),
initializer=get_initializer(self.initializer_range),
)
with tf.name_scope("position_embeddings"):
self.position_embeddings = self.add_weight(
name="embeddings",
shape=[self.max_position_embeddings, self.embedding_size],
initializer=get_initializer(initializer_range=self.initializer_range),
initializer=get_initializer(self.initializer_range),
)
super().build(input_shape)