diff --git a/cotracker/models/core/cotracker/cotracker.py b/cotracker/models/core/cotracker/cotracker.py
index c25e7db..ef1548c 100644
--- a/cotracker/models/core/cotracker/cotracker.py
+++ b/cotracker/models/core/cotracker/cotracker.py
@@ -25,7 +25,7 @@ from cotracker.models.core.embeddings import (
 torch.manual_seed(0)
 
 
-def get_points_on_a_grid(grid_size, interp_shape, grid_center=(0, 0), device="cuda"):
+def get_points_on_a_grid(grid_size, interp_shape, grid_center=(0, 0), device="cpu"):
     if grid_size == 1:
         return torch.tensor([interp_shape[1] / 2, interp_shape[0] / 2], device=device)[
             None, None
diff --git a/cotracker/models/core/model_utils.py b/cotracker/models/core/model_utils.py
index 2f38006..64e8706 100644
--- a/cotracker/models/core/model_utils.py
+++ b/cotracker/models/core/model_utils.py
@@ -34,7 +34,7 @@ def normalize(d):
     return out
 
 
-def meshgrid2d(B, Y, X, stack=False, norm=False, device="cuda"):
+def meshgrid2d(B, Y, X, stack=False, norm=False, device="cpu"):
     # returns a meshgrid sized B x Y x X
 
     grid_y = torch.linspace(0.0, Y - 1, Y, device=torch.device(device))