(self, input)
| 160 | self.bias = torch.nn.Parameter(torch.Tensor(out_channels)) |
| 161 | |
| 162 | def forward(self, input): |
| 163 | return torch.conv_tbc(input.contiguous(), self.weight, self.bias, self.padding) |
| 164 | |
| 165 | |
| 166 | class MultiheadAttention(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected