Merge pull request #426 from ironjr/master

Fixed device mismatch error of Symbolic_KANLayer

Author: KindXiaoming

kan/Symbolic_KANLayer.py

@@ -216,9 +216,9 @@ def fix_symbolic(self, i, j, fun_name, x=None, y=None, random=False, a_range=(-1
                 self.funs[j][i] = fun
                 self.funs_avoid_singularity[j][i] = fun_avoid_singularity
                 if random == False:
-                    self.affine.data[j][i] = torch.tensor([1.,0.,1.,0.])
+                    self.affine.data[j][i] = torch.tensor([1.,0.,1.,0.], device=self.device)
                 else:
-                    self.affine.data[j][i] = torch.rand(4,) * 2 - 1
+                    self.affine.data[j][i] = torch.rand(4, device=self.device) * 2 - 1
                 return None
             else:
                 #initialize from x & y and fun
@@ -237,9 +237,9 @@ def fix_symbolic(self, i, j, fun_name, x=None, y=None, random=False, a_range=(-1
             self.funs[j][i] = fun
             self.funs_avoid_singularity[j][i] = fun
             if random == False:
-                self.affine.data[j][i] = torch.tensor([1.,0.,1.,0.])
+                self.affine.data[j][i] = torch.tensor([1.,0.,1.,0.], device=self.device)
             else:
-                self.affine.data[j][i] = torch.rand(4,) * 2 - 1
+                self.affine.data[j][i] = torch.rand(4, device=self.device) * 2 - 1
             return None
 
     def swap(self, i1, i2, mode='in'):