537de129aff815d5690e46858c7e5c1de0d4abd6,torch_geometric/nn/modules/lin.py,Lin,reset_parameters,#Lin#,34
 
Before Change
        self.reset_parameters()
    def reset_parameters(self):
        stdv = 1. / math.sqrt(self.in_features)
        self.weight.data.uniform_(-stdv, stdv)
        if self.bias is not None:
            self.bias.data.uniform_(-stdv, stdv)
After Change
    def reset_parameters(self):
        size = self.in_features
        uniform(size, self.weight, self.bias)
    def forward(self, input):
        return lin(input, self.weight, self.bias)

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
 Project Name: rusty1s/pytorch_geometric
 Commit Name: 537de129aff815d5690e46858c7e5c1de0d4abd6
 Time: 2017-11-27
 Author: matthias.fey@tu-dortmund.de
 File Name: torch_geometric/nn/modules/lin.py
 Class Name: Lin
 Method Name: reset_parameters
 Project Name: rusty1s/pytorch_geometric
 Commit Name: 1c953893e4def68e706c14ddf25c81d6ececa21a
 Time: 2017-11-27
 Author: matthias.fey@tu-dortmund.de
 File Name: torch_geometric/nn/modules/graph_conv.py
 Class Name: GraphConv
 Method Name: reset_parameters
 Project Name: nipy/dipy
 Commit Name: f698c4dbfc266bae9c1d1ceb0d906863c9b54e2e
 Time: 2013-05-14
 Author: caruyer@gmail.com
 File Name: dipy/core/sphere_stats.py
 Class Name: 
 Method Name: random_uniform_on_sphere