Put back CelebA download (#6147)

* Revert "Indicate Celeba download parameter is deprecated and will be removed (#6059)"

This reverts commit 49496c4f.

* Revert "Deactivate CelebA download (#6052)"

This reverts commit ac56f52e.

torchvision/datasets/celeba.py

 import csv
 import os
-import warnings
 from collections import namedtuple
 from typing import Any, Callable, List, Optional, Union, Tuple
 
 import PIL
 import torch
 
-from .utils import check_integrity, verify_str_arg
+from .utils import download_file_from_google_drive, check_integrity, verify_str_arg, extract_archive
 from .vision import VisionDataset
 
 CSV = namedtuple("CSV", ["header", "index", "data"])
@@ -36,17 +35,9 @@ class CelebA(VisionDataset):
             and returns a transformed version. E.g, ``transforms.PILToTensor``
         target_transform (callable, optional): A function/transform that takes in the
             target and transforms it.
-        download (bool, optional): Deprecated.
-
-            .. warning::
-
-                Downloading CelebA is not supported anymore as of 0.13 and this
-                parameter will be removed in 0.15. See
-                `this issue <https://github.com/pytorch/vision/issues/5705>`__
-                for more details.
-                Please download the files from
-                https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html and extract
-                them in ``root/celeba``.
+        download (bool, optional): If true, downloads the dataset from the internet and
+            puts it in root directory. If dataset is already downloaded, it is not
+            downloaded again.
     """
 
     base_folder = "celeba"
@@ -73,7 +64,7 @@ class CelebA(VisionDataset):
         target_type: Union[List[str], str] = "attr",
         transform: Optional[Callable] = None,
         target_transform: Optional[Callable] = None,
-        download: bool = None,
+        download: bool = False,
     ) -> None:
         super().__init__(root, transform=transform, target_transform=target_transform)
         self.split = split
@@ -85,15 +76,6 @@ class CelebA(VisionDataset):
         if not self.target_type and self.target_transform is not None:
             raise RuntimeError("target_transform is specified but target_type is empty")
 
-        if download is not None:
-            warnings.warn(
-                "Downloading CelebA is not supported anymore as of 0.13, and the "
-                "download parameter will be removed in 0.15. See "
-                "https://github.com/pytorch/vision/issues/5705 for more details. "
-                "Please download the files from "
-                "https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html and extract them "
-                "in ``root/celeba``."
-            )
         if download:
             self.download()
 
@@ -164,14 +146,10 @@ class CelebA(VisionDataset):
             print("Files already downloaded and verified")
             return
 
-        raise ValueError(
-            "Downloading CelebA is not supported anymore as of 0.13, and the "
-            "download parameter will be removed in 0.15. See "
-            "https://github.com/pytorch/vision/issues/5705 for more details. "
-            "Please download the files from "
-            "https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html and extract them "
-            "in ``root/celeba``."
-        )
+        for (file_id, md5, filename) in self.file_list:
+            download_file_from_google_drive(file_id, os.path.join(self.root, self.base_folder), filename, md5)
+
+        extract_archive(os.path.join(self.root, self.base_folder, "img_align_celeba.zip"))
 
     def __getitem__(self, index: int) -> Tuple[Any, Any]:
         X = PIL.Image.open(os.path.join(self.root, self.base_folder, "img_align_celeba", self.filename[index]))

torchvision/prototype/datasets/_builtin/celeba.py

@@ -11,7 +11,7 @@ from torchdata.datapipes.iter import (
 )
 from torchvision.prototype.datasets.utils import (
     Dataset,
-    ManualDownloadResource,
+    GDriveResource,
     OnlineResource,
 )
 from torchvision.prototype.datasets.utils._internal import (
@@ -85,34 +85,33 @@ class CelebA(Dataset):
         super().__init__(root, skip_integrity_check=skip_integrity_check)
 
     def _resources(self) -> List[OnlineResource]:
-        instructions = "Please download the file from https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html."
-        splits = ManualDownloadResource(
-            instructions=instructions,
+        splits = GDriveResource(
+            "0B7EVK8r0v71pY0NSMzRuSXJEVkk",
             sha256="fc955bcb3ef8fbdf7d5640d9a8693a8431b5f2ee291a5c1449a1549e7e073fe7",
             file_name="list_eval_partition.txt",
         )
-        images = ManualDownloadResource(
-            instructions=instructions,
+        images = GDriveResource(
+            "0B7EVK8r0v71pZjFTYXZWM3FlRnM",
             sha256="46fb89443c578308acf364d7d379fe1b9efb793042c0af734b6112e4fd3a8c74",
             file_name="img_align_celeba.zip",
         )
-        identities = ManualDownloadResource(
-            instructions=instructions,
+        identities = GDriveResource(
+            "1_ee_0u7vcNLOfNLegJRHmolfH5ICW-XS",
             sha256="c6143857c3e2630ac2da9f782e9c1232e5e59be993a9d44e8a7916c78a6158c0",
             file_name="identity_CelebA.txt",
         )
-        attributes = ManualDownloadResource(
-            instructions=instructions,
+        attributes = GDriveResource(
+            "0B7EVK8r0v71pblRyaVFSWGxPY0U",
             sha256="f0e5da289d5ccf75ffe8811132694922b60f2af59256ed362afa03fefba324d0",
             file_name="list_attr_celeba.txt",
         )
-        bounding_boxes = ManualDownloadResource(
-            instructions=instructions,
+        bounding_boxes = GDriveResource(
+            "0B7EVK8r0v71pbThiMVRxWXZ4dU0",
             sha256="7487a82e57c4bb956c5445ae2df4a91ffa717e903c5fa22874ede0820c8ec41b",
             file_name="list_bbox_celeba.txt",
         )
-        landmarks = ManualDownloadResource(
-            instructions=instructions,
+        landmarks = GDriveResource(
+            "0B7EVK8r0v71pd0FJY3Blby1HUTQ",
             sha256="6c02a87569907f6db2ba99019085697596730e8129f67a3d61659f198c48d43b",
             file_name="list_landmarks_align_celeba.txt",
         )

torchvision/prototype/datasets/utils/_resource.py

@@ -216,9 +216,9 @@ class ManualDownloadResource(OnlineResource):
 
     def _download(self, root: pathlib.Path) -> NoReturn:
         raise RuntimeError(
-            f"The file {self.file_name} was not found, and cannot be downloaded automatically.\n\n"
-            f"{self.instructions.strip()}\n\n"
-            f"Once it is downloaded, please place the file in {root}."
+            f"The file {self.file_name} cannot be downloaded automatically. "
+            f"Please follow the instructions below and place it in {root}\n\n"
+            f"{self.instructions}"
         )