fix: floating point zeros for old torch.where

torchcomp/core.py

@@ -149,9 +149,9 @@ def backward(ctx: Any, grad_y: torch.Tensor) -> Tuple[Optional[torch.Tensor], ..
                 x - torch.cat([zi.unsqueeze(1), y[:, :-1]], dim=1)
             )
             if ctx.needs_input_grad[2]:
-                grad_at = torch.where(at_mask, grad_combined, 0).sum(1)
+                grad_at = torch.where(at_mask, grad_combined, 0.0).sum(1)
             if ctx.needs_input_grad[3]:
-                grad_rt = torch.where(~at_mask, grad_combined, 0).sum(1)
+                grad_rt = torch.where(~at_mask, grad_combined, 0.0).sum(1)
 
         return grad_x, grad_zi, grad_at, grad_rt
 
@@ -173,8 +173,8 @@ def jvp(
         else:
             grad_beta = torch.where(
                 at_mask,
-                0 if grad_at is None else grad_at.unsqueeze(1),
-                0 if grad_rt is None else grad_rt.unsqueeze(1),
+                0.0 if grad_at is None else grad_at.unsqueeze(1),
+                0.0 if grad_rt is None else grad_rt.unsqueeze(1),
             )
             fwd_combined = fwd_x + grad_beta * (
                 x - torch.cat([zi.unsqueeze(1), y[:, :-1]], dim=1)