diff --git a/nerfstudio/engine/trainer.py b/nerfstudio/engine/trainer.py
index 4cc296063e..2930db892e 100644
--- a/nerfstudio/engine/trainer.py
+++ b/nerfstudio/engine/trainer.py
@@ -28,7 +28,6 @@
 
 import torch
 from nerfstudio.configs.experiment_config import ExperimentConfig
-from nerfstudio.data.datamanagers.base_datamanager import VanillaDataManager
 from nerfstudio.engine.callbacks import TrainingCallback, TrainingCallbackAttributes, TrainingCallbackLocation
 from nerfstudio.engine.optimizers import Optimizers
 from nerfstudio.pipelines.base_pipeline import VanillaPipeline
@@ -225,11 +224,9 @@ def train(self) -> None:
         """Train the model."""
         assert self.pipeline.datamanager.train_dataset is not None, "Missing DatsetInputs"
 
-        # don't want to call save_dataparser_transform if pipeline's datamanager does not have a dataparser
-        if isinstance(self.pipeline.datamanager, VanillaDataManager):
-            self.pipeline.datamanager.train_dataparser_outputs.save_dataparser_transform(
-                self.base_dir / "dataparser_transforms.json"
-            )
+        self.pipeline.datamanager.train_dataparser_outputs.save_dataparser_transform(
+            self.base_dir / "dataparser_transforms.json"
+        )
 
         self._init_viewer_state()
         with TimeWriter(writer, EventName.TOTAL_TRAIN_TIME):