Dont error when dataset is already downloaded

torchvision/datasets/inaturalist.py

@@ -81,7 +81,7 @@ def __init__(
         if download:
             self.download()
 
-        if not self._check_integrity():
+        if not self._check_exists():
             raise RuntimeError("Dataset not found or corrupted. You can use download=True to download it")
 
         self.all_categories: List[str] = []
@@ -219,15 +219,12 @@ def category_name(self, category_type: str, category_id: int) -> str:
                         return name
                 raise ValueError(f"Invalid category id {category_id} for {category_type}")
 
-    def _check_integrity(self) -> bool:
+    def _check_exists(self) -> bool:
         return os.path.exists(self.root) and len(os.listdir(self.root)) > 0
 
     def download(self) -> None:
-        if self._check_integrity():
-            raise RuntimeError(
-                f"The directory {self.root} already exists. "
-                f"If you want to re-download or re-extract the images, delete the directory."
-            )
+        if self._check_exists():
+            return
 
         base_root = os.path.dirname(self.root)
 

torchvision/datasets/kinetics.py

@@ -166,10 +166,7 @@ def _download_videos(self) -> None:
             RuntimeError: if download folder exists, break to prevent downloading entire dataset again.
         """
         if path.exists(self.split_folder):
-            raise RuntimeError(
-                f"The directory {self.split_folder} already exists. "
-                f"If you want to re-download or re-extract the images, delete the directory."
-            )
+            return
         tar_path = path.join(self.root, "tars")
         file_list_path = path.join(self.root, "files")
 

torchvision/datasets/places365.py

@@ -145,10 +145,7 @@ def download_devkit(self) -> None:
 
     def download_images(self) -> None:
         if path.exists(self.images_dir):
-            raise RuntimeError(
-                f"The directory {self.images_dir} already exists. If you want to re-download or re-extract the images, "
-                f"delete the directory."
-            )
+            return
 
         file, md5 = self._IMAGES_META[(self.split, self.small)]
         download_and_extract_archive(urljoin(self._BASE_URL, file), self.root, md5=md5)