2a84f46bf0a05ae5b0caaf6724808dfe65dac638,fairseq/models/fconv.py,FConvEncoder,__init__,#FConvEncoder#Any#Any#Any#Any#Any#Any#,99
Before Change
num_embeddings = len(dictionary)
padding_idx = dictionary.pad()
self.embed_tokens = Embedding(num_embeddings, embed_dim, padding_idx)
if embed_dict:
self.embed_tokens = utils.load_embedding(embed_dict, self.dictionary, self.embed_tokens)
self.embed_positions = PositionalEmbedding(
After Change
num_embeddings = len(dictionary)
self.padding_idx = dictionary.pad()
self.embed_tokens = Embedding(num_embeddings, embed_dim, self.padding_idx)
self.embed_positions = PositionalEmbedding(
max_positions,
embed_dim,
self.padding_idx,
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
Project Name: pytorch/fairseq
Commit Name: 2a84f46bf0a05ae5b0caaf6724808dfe65dac638
Time: 2018-06-15
Author: alexei.b@gmail.com
File Name: fairseq/models/fconv.py
Class Name: FConvEncoder
Method Name: __init__
Project Name: uber/ludwig
Commit Name: e9aea97df1dc7878827ac193ba75cbea0b3ee351
Time: 2020-05-05
Author: jimthompson5802@gmail.com
File Name: ludwig/models/modules/sequence_decoders.py
Class Name: SequenceGeneratorDecoder
Method Name: __init__