diff --git a/gaussian_splatting/arguments/__init__.py b/gaussian_splatting/arguments/__init__.py
index 50110d0e5..3f17a9d9c 100644
--- a/gaussian_splatting/arguments/__init__.py
+++ b/gaussian_splatting/arguments/__init__.py
@@ -55,7 +55,6 @@ def __init__(self, parser=None, source_path="", sentinel=False):
         self._images = "images"
         self._resolution = -1
         self._white_background = False
-        self.data_device = "cuda"
         self.eval = False
         super().__init__(parser, "Loading Parameters", sentinel)
 
diff --git a/gaussian_splatting/scene/cameras.py b/gaussian_splatting/scene/cameras.py
index c83674f32..4398b3270 100644
--- a/gaussian_splatting/scene/cameras.py
+++ b/gaussian_splatting/scene/cameras.py
@@ -15,10 +15,20 @@
 from gaussian_splatting.utils.graphics_utils import getWorld2View2, getProjectionMatrix
 
 class Camera(nn.Module):
-    def __init__(self, colmap_id, R, T, FoVx, FoVy, image, gt_alpha_mask,
-                 image_name, uid,
-                 trans=np.array([0.0, 0.0, 0.0]), scale=1.0, data_device = "cuda"
-                 ):
+    def __init__(
+        self,
+        colmap_id,
+        R,
+        T,
+        FoVx,
+        FoVy,
+        image,
+        gt_alpha_mask,
+        image_name,
+        uid,
+        trans=np.array([0.0, 0.0, 0.0]),
+        scale=1.0
+    ):
         super(Camera, self).__init__()
 
         self.uid = uid
@@ -29,12 +39,7 @@ def __init__(self, colmap_id, R, T, FoVx, FoVy, image, gt_alpha_mask,
         self.FoVy = FoVy
         self.image_name = image_name
 
-        try:
-            self.data_device = torch.device(data_device)
-        except Exception as e:
-            print(e)
-            print(f"[Warning] Custom device {data_device} failed, fallback to default cuda device" )
-            self.data_device = torch.device("cuda")
+        self.data_device = torch.device("cuda")
 
         self.original_image = image.clamp(0.0, 1.0).to(self.data_device)
         self.image_width = self.original_image.shape[2]
diff --git a/gaussian_splatting/utils/camera_utils.py b/gaussian_splatting/utils/camera_utils.py
index e8fd5de2d..0fa4742d4 100644
--- a/gaussian_splatting/utils/camera_utils.py
+++ b/gaussian_splatting/utils/camera_utils.py
@@ -46,10 +46,17 @@ def loadCam(args, id, cam_info, resolution_scale):
     if resized_image_rgb.shape[1] == 4:
         loaded_mask = resized_image_rgb[3:4, ...]
 
-    return Camera(colmap_id=cam_info.uid, R=cam_info.R, T=cam_info.T,
-                  FoVx=cam_info.FovX, FoVy=cam_info.FovY,
-                  image=gt_image, gt_alpha_mask=loaded_mask,
-                  image_name=cam_info.image_name, uid=id, data_device=args.data_device)
+    return Camera(
+        colmap_id=cam_info.uid,
+        R=cam_info.R,
+        T=cam_info.T,
+        FoVx=cam_info.FovX,
+        FoVy=cam_info.FovY,
+        image=gt_image,
+        gt_alpha_mask=loaded_mask,
+        image_name=cam_info.image_name,
+        uid=id
+    )
 
 def cameraList_from_camInfos(cam_infos, resolution_scale, args):
     camera_list = []
diff --git a/scripts/train_modal.py b/scripts/train_modal.py
index df31cace4..a557e9fdd 100644
--- a/scripts/train_modal.py
+++ b/scripts/train_modal.py
@@ -58,7 +58,6 @@ def __init__(self,):
         self.images = "images"
         self.resolution = -1
         self.white_background = False
-        self.data_device = "cuda"
         self.eval = False
 
 class Pipeline():