float3 fix (#44)

Co-authored-by: Ruilong Li <[email protected]>

.github/workflows/building.yml

@@ -11,11 +11,15 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-20.04, windows-2019]
-        # support version based on: https://download.pytorch.org/whl/torch/
-        python-version: ['3.7', '3.8', '3.9', '3.10', '3.11']
-        torch-version: [1.11.0, 1.12.0, 1.13.0, 2.0.0]
-        cuda-version: ['cu113', 'cu115', 'cu116', 'cu117', 'cu118']
+        os: [windows-2019]
+        python-version: ['3.7']
+        torch-version: [1.11.0]
+        cuda-version: ['cu113']
+        # os: [ubuntu-20.04, windows-2019]
+        # # support version based on: https://download.pytorch.org/whl/torch/
+        # python-version: ['3.7', '3.8', '3.9', '3.10', '3.11']
+        # torch-version: [1.11.0, 1.12.0, 1.13.0, 2.0.0]
+        # cuda-version: ['cu113', 'cu115', 'cu116', 'cu117', 'cu118']
         exclude:
           - torch-version: 1.11.0
             python-version: '3.11'

gsplat/cuda/csrc/forward.cu

@@ -662,8 +662,7 @@ __device__ float3 project_cov3d_ewa(
     glm::mat3 cov = T * V * glm::transpose(T);
 
     // add a little blur along axes and save upper triangular elements
-    return (float3
-    ){float(cov[0][0]) + 0.3f, float(cov[0][1]), float(cov[1][1]) + 0.3f};
+    return float3(float(cov[0][0]) + 0.3f, float(cov[0][1]), float(cov[1][1]) + 0.3f);
 }
 
 // device helper to get 3D covariance from scale and quat parameters