e93074d9e0d9e26119872da69fc663dd3a7779f3,onmt/Models.py,Decoder,forward,#Decoder#Any#Any#Any#Any#,100
 
Before Change
        // self.input_feed=False
        outputs = []
        output = init_output
        for i, emb_t in enumerate(emb.chunk(emb.size(0), dim=0)):
            emb_t = emb_t.squeeze(0)
            if self.input_feed:
                emb_t = torch.cat([emb_t, output], 1)
After Change
        // self.input_feed=False
        outputs = []
        output = init_output
        for i, emb_t in enumerate(emb.split(1)):
            emb_t = emb_t.squeeze(0)
            if self.input_feed:
                emb_t = torch.cat([emb_t, output], 1)

In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 3
Instances
 Project Name: OpenNMT/OpenNMT-py
 Commit Name: e93074d9e0d9e26119872da69fc663dd3a7779f3
 Time: 2017-03-14
 Author: bryan.mccann.is@gmail.com
 File Name: onmt/Models.py
 Class Name: Decoder
 Method Name: forward
 Project Name: pytorch/examples
 Commit Name: 62555a6f72e014341a1d85fccba799e7f35b4d63
 Time: 2017-01-11
 Author: alerer@fb.com
 File Name: OpenNMT/train.py
 Class Name: 
 Method Name: memoryEfficientLoss
 Project Name: pytorch/examples
 Commit Name: 4d137ed0516d93b6770912452c51e7db32dff74e
 Time: 2017-03-14
 Author: bryan.mccann.is@gmail.com
 File Name: OpenNMT/onmt/Models.py
 Class Name: Decoder
 Method Name: forward