diff --git a/nerfstudio/data/datamanagers/base_datamanager.py b/nerfstudio/data/datamanagers/base_datamanager.py
index e48218c39..0e3c6edce 100644
--- a/nerfstudio/data/datamanagers/base_datamanager.py
+++ b/nerfstudio/data/datamanagers/base_datamanager.py
@@ -49,13 +49,8 @@ from nerfstudio.data.dataparsers.nuscenes_dataparser import NuScenesDataParserCo
 from nerfstudio.data.dataparsers.phototourism_dataparser import (
     PhototourismDataParserConfig,
 )
-from nerfstudio.data.dataparsers.sdfstudio_dataparser import SDFStudioDataParserConfig
 from nerfstudio.data.datasets.base_dataset import InputDataset
-from nerfstudio.data.pixel_samplers import (
-    EquirectangularPixelSampler,
-    PatchPixelSampler,
-    PixelSampler,
-)
+from nerfstudio.data.pixel_samplers import EquirectangularPixelSampler, PixelSampler
 from nerfstudio.data.utils.dataloaders import (
     CacheDataloader,
     FixedIndicesEvalDataloader,
@@ -80,7 +75,6 @@ AnnotatedDataParserUnion = tyro.conf.OmitSubcommandPrefixes[  # Omit prefixes of
             "dnerf-data": DNeRFDataParserConfig(),
             "phototourism-data": PhototourismDataParserConfig(),
             "dycheck-data": DycheckDataParserConfig(),
-            "sdfstudio-data": SDFStudioDataParserConfig(),
         },
         prefix_names=False,  # Omit prefixes in subcommands themselves.
     )
@@ -287,8 +281,6 @@ class VanillaDataManagerConfig(InstantiateConfig):
     """The scale factor for scaling spatial data such as images, mask, semantics
     along with relevant information about camera intrinsics
     """
-    patch_size: int = 1
-    """Size of patch to sample from. If >1, patch-based sampling will be used."""
 
 
 class VanillaDataManager(DataManager):  # pylint: disable=abstract-method
@@ -352,9 +344,6 @@ class VanillaDataManager(DataManager):  # pylint: disable=abstract-method
         self, dataset: InputDataset, *args: Any, **kwargs: Any
     ) -> PixelSampler:
         """Infer pixel sampler to use."""
-        if self.config.patch_size > 1:
-            return PatchPixelSampler(*args, **kwargs, patch_size=self.config.patch_size)
-
         # If all images are equirectangular, use equirectangular pixel sampler
         is_equirectangular = dataset.cameras.camera_type == CameraType.EQUIRECTANGULAR.value
         if is_equirectangular.all():
@@ -402,9 +391,12 @@ class VanillaDataManager(DataManager):  # pylint: disable=abstract-method
         )
         self.iter_eval_image_dataloader = iter(self.eval_image_dataloader)
         self.eval_pixel_sampler = self._get_pixel_sampler(self.eval_dataset, self.config.eval_num_rays_per_batch)
+        self.eval_camera_optimizer = self.config.camera_optimizer.setup(
+            num_cameras=self.eval_dataset.cameras.size, device=self.device
+        )
         self.eval_ray_generator = RayGenerator(
             self.eval_dataset.cameras.to(self.device),
-            self.train_camera_optimizer,  # should be shared between train and eval.
+            self.eval_camera_optimizer,
         )
         # for loading full images
         self.fixed_indices_eval_dataloader = FixedIndicesEvalDataloader(