clean submodule

diff_gaussian_rasterization/rasterizer.py

 from typing import NamedTuple
 import torch.nn as nn
 import torch
-import utils.profiling_utils as profiling_utils
-from diff_gaussian_rasterization import _C
+from . import _C
 
 def rasterize_gaussians(
     means3D,
@@ -97,13 +96,9 @@ class _RasterizeGaussians(torch.autograd.Function):
                 raster_settings.sh_degree, 
                 raster_settings.campos)
 
-        back_rng = profiling_utils.start("rasterize", "yellow", "render" )
-
         # Compute gradients for relevant tensors by invoking backward method
         grad_means2D, grad_colors_precomp, grad_opacities, grad_means3D, grad_cov3Ds_precomp, grad_sh, grad_scales, grad_rotations = _C.rasterize_gaussians_backward(*args)        
 
-        profiling_utils.stop(back_rng)
-
         grads = (
             grad_means3D,
             grad_means2D,

setup.py

@@ -10,10 +10,10 @@ setup(
         CUDAExtension(
             name="diff_gaussian_rasterization._C",
             sources=[
-            "rasterize_points.cu", 
             "cuda_rasterizer/rasterizer_impl.cu",
             "cuda_rasterizer/forward.cu",
             "cuda_rasterizer/backward.cu",
+            "rasterize_points.cu",
             "ext.cpp"],
             extra_compile_args={"nvcc": ["-I" + os.path.join(os.path.dirname(os.path.abspath(__file__)), "third_party/glm/")],
                                 "cxx": ["/wd4624"]})