(self, theta)
| 559 | self.P_Y = self.P_Y.cuda() |
| 560 | |
| 561 | def forward(self, theta): |
| 562 | warped_grid = self.apply_transformation(theta, torch.cat((self.grid_X, self.grid_Y), 3)) |
| 563 | |
| 564 | return warped_grid |
| 565 | |
| 566 | def compute_L_inverse(self, X, Y): |
| 567 | N = X.size()[0] # num of points (along dim 0) |
nothing calls this directly
no test coverage detected