Update default device setting to CPU in FlexiCubesGeometry and FlexiCubes classes for improved compatibility across systems without GPU support.

util/flexicubes.py

@@ -25,7 +25,7 @@ class FlexiCubes:
     PyTorch tensors on the specified device.
 
     Attributes:
-        device (str): Specifies the computational device (default is "cuda").
+        device (str): Specifies the computational device (default is "cpu").
         dmc_table (torch.Tensor): Dual Marching Cubes (DMC) table that encodes the edges 
             associated with each dual vertex in 256 Marching Cubes (MC) configurations.
         num_vd_table (torch.Tensor): Table holding the number of dual vertices in each of 
@@ -64,7 +64,7 @@ class FlexiCubes:
             The scale of weights in FlexiCubes. Should be between 0 and 1.
     """
 
-    def __init__(self, device="cuda", qef_reg_scale=1e-3, weight_scale=0.99):
+    def __init__(self, device="cpu", qef_reg_scale=1e-3, weight_scale=0.99):
 
         self.device = device
         self.dmc_table = torch.tensor(dmc_table, dtype=torch.long, device=device, requires_grad=False)

util/flexicubes_geometry.py

@@ -31,7 +31,7 @@ def get_center_boundary_index(grid_res, device):
 ###############################################################################
 class FlexiCubesGeometry(object):
     def __init__(
-            self, grid_res=64, scale=2.0, device='cuda', renderer=None,
+            self, grid_res=64, scale=2.0, device='cpu', renderer=None,
             render_type='neural_render', args=None):
         super(FlexiCubesGeometry, self).__init__()
         self.grid_res = grid_res