(self, in_features, out_features, bias=True)
| 11 | """ |
| 12 | |
| 13 | def __init__(self, in_features, out_features, bias=True): |
| 14 | super(GraphConvolution, self).__init__() |
| 15 | self.in_features = in_features |
| 16 | self.out_features = out_features |
| 17 | self.weight = Parameter(th.FloatTensor(in_features, out_features)) |
| 18 | if bias: |
| 19 | self.bias = Parameter(th.FloatTensor(out_features)) |
| 20 | else: |
| 21 | self.register_parameter('bias', None) |
| 22 | self.reset_parameters() |
| 23 | |
| 24 | def reset_parameters(self): |
| 25 | stdv = 1. / math.sqrt(self.weight.size(1)) |
nothing calls this directly
no test coverage detected