- if score_paths is not None:
- score_paths = score_paths.cpu()
- c_score_paths = score_paths.unsqueeze(1).expand(-1, 3, -1, -1)
- c_score_paths = (
- c_score_paths * colors[4].reshape(1, 3, 1, 1)
- + (1 - c_score_paths) * colors[0].reshape(1, 3, 1, 1)
- ).long()
- c_score_paths = c_score_paths * (mazes.unsqueeze(1) == v_empty) + c_mazes * (
- mazes.unsqueeze(1) != v_empty
- )
- imgs = torch.cat((imgs, c_score_paths.unsqueeze(1)), 1)
-
- img = torch.tensor([224, 224, 224]).view(1, -1, 1, 1)
+ img = torch.tensor([255, 255, 0]).view(1, -1, 1, 1)