error occurs when try to run track_mask() with enable_refine=False

```
if mask_enable:
best_pscore_id_mask = np.unravel_index(best_pscore_id, (5, p.score_size, p.score_size))
delta_x, delta_y = best_pscore_id_mask[2], best_pscore_id_mask[1]

if refine_enable:
mask = net.track_refine((delta_y, delta_x)).to(device).sigmoid().squeeze().view(
p.out_size, p.out_size).cpu().data.numpy()
else:
mask = mask[0, :, delta_y, delta_x].sigmoid(). \
squeeze().view(p.out_size, p.out_size).cpu().data.numpy()
```

In function track_mask() from tools/test.py
I set refine_ebabled=Flase and other parameters are keep as default. However, it seems try to reshape a 1x3969 Tensor to 127x127(p.out_size=127) and therefore, error occurs.
Could you please tell me how to recovery the tracked mask in natural input search image coordinate without refine mask?