Fix CUDA tensor type error: explicit int casting for all gsplat parameters

- Cast block_h, block_w to int() in rasterize_gaussians_sum calls
- Use direct function calls instead of tuple unpacking for better type control
- This should fix the 'expected scalar type Int but found Float' error in CUDA backend
- Based on traceback showing error in _C.nd_rasterize_forward_topk_norm

gradio_models.py

@@ -395,7 +395,7 @@ class GradioGaussianSplatting2D(nn.Module):
 
         if not self.disable_tiles:
             enable_topk_norm = not self.disable_topk_norm
-            tmp = (
+            out_image = rasterize_gaussians_sum(
                 xy,
                 radii,
                 conics,
@@ -403,11 +403,10 @@ class GradioGaussianSplatting2D(nn.Module):
                 feat,
                 int(img_h),
                 int(img_w),
-                self.block_h,
-                self.block_w,
+                int(self.block_h),
+                int(self.block_w),
                 enable_topk_norm,
             )
-            out_image = rasterize_gaussians_sum(*tmp)
         else:
             tmp = xy, conics, feat, int(img_h), int(img_w)
             out_image = rasterize_gaussians_no_tiles(*tmp)
@@ -477,7 +476,7 @@ class GradioGaussianSplatting2D(nn.Module):
 
             if not self.disable_tiles:
                 enable_topk_norm = not self.disable_topk_norm
-                tmp = (
+                out_image = rasterize_gaussians_sum(
                     xy,
                     radii,
                     conics,
@@ -485,11 +484,10 @@ class GradioGaussianSplatting2D(nn.Module):
                     feat,
                     int(self.img_h),
                     int(self.img_w),
-                    self.block_h,
-                    self.block_w,
+                    int(self.block_h),
+                    int(self.block_w),
                     enable_topk_norm,
                 )
-                out_image = rasterize_gaussians_sum(*tmp)
             else:
                 tmp = xy, conics, feat, int(self.img_h), int(self.img_w)
                 out_image = rasterize_gaussians_no_tiles(*tmp)