b73fc0c21ea55c7d3357fbf633944e1e67db8bdf,theanolm/network/projectionlayer.py,ProjectionLayer,create_structure,#ProjectionLayer#,25
Before Change
``set_params()``.
layer_input = tensor.concatenate([x.output for x in self.input_layers],
axis=2)
num_time_steps = layer_input.shape[0]
num_sequences = layer_input.shape[1]
// Indexing the word_projection matrix with a word ID returns the
After Change
``set_params()``.
assert len(self.input_layers) == 1
layer_input = self.input_layers[0].output
num_time_steps = layer_input.shape[0]
num_sequences = layer_input.shape[1]
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
Project Name: senarvi/theanolm
Commit Name: b73fc0c21ea55c7d3357fbf633944e1e67db8bdf
Time: 2016-07-31
Author: seppo.git@marjaniemi.com
File Name: theanolm/network/projectionlayer.py
Class Name: ProjectionLayer
Method Name: create_structure
Project Name: pytorch/fairseq
Commit Name: 32335404f09c47cccbfbf731abc4c510d0eef043
Time: 2019-09-20
Author: namangoyal@learnfair1595.h2.fair
File Name: fairseq/data/concat_dataset.py
Class Name: ConcatDataset
Method Name: sizes