bc51dbc0c56f68ed30857755026633f78eef1ae8,spotlight/layers.py,BloomEmbedding,forward,#BloomEmbedding#Any#,171
Before Change
else:
embedding = self.embeddings(masked_indices[:, :, 0])
for idx in range(1, len(self._masks)):
embedding += self.embeddings(masked_indices[:, :, idx])
embedding /= len(self._masks)
return embedding
After Change
if indices.dim() == 2:
batch_size, seq_size = indices.size()
else:
batch_size, seq_size = indices.size(0) , 1
if not indices.is_contiguous():
indices = indices.contiguous()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances Project Name: maciejkula/spotlight
Commit Name: bc51dbc0c56f68ed30857755026633f78eef1ae8
Time: 2017-08-20
Author: maciej.kula@gmail.com
File Name: spotlight/layers.py
Class Name: BloomEmbedding
Method Name: forward
Project Name: BindsNET/bindsnet
Commit Name: 5895434c8e31e7a446c70aeea5529a59d8054f50
Time: 2018-07-26
Author: djsaunde@umass.edu
File Name: bindsnet/evaluation/__init__.py
Class Name:
Method Name: update_ngram_scores
Project Name: cornellius-gp/gpytorch
Commit Name: f7a1a77baf9102cbd20971c8edba71c4adad33d6
Time: 2017-11-05
Author: gpleiss@gmail.com
File Name: gpytorch/__init__.py
Class Name:
Method Name: monte_carlo_log_likelihood