(self, x)
| 472 | self.norm2 = nn.LayerNorm(input_feature_dim) |
| 473 | |
| 474 | def forward(self, x): |
| 475 | out = self.flatten(self.pool(self.activation(self.norm1(self.conv_1_1(x))))) |
| 476 | out = self.norm2(out) |
| 477 | return out |
| 478 | |
| 479 | |
| 480 | class AttributeTransformer8(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected