Celeba dataset can not be downloaded

[Isaac-Hirsch]

🐛 Describe the bug

36 CIFAR10 = datasets.CelebA(root="Datasets", download=True)

File /apps/python/3.10/3.10.9/lib/python3.10/site-packages/torchvision/datasets/celeba.py:80, in CelebA.init(self, root, split, target_type, transform, target_transform, download)
77 raise RuntimeError("target_transform is specified but target_type is empty")
79 if download:
---> 80 self.download()
82 if not self._check_integrity():
83 raise RuntimeError("Dataset not found or corrupted. You can use download=True to download it")

File /apps/python/3.10/3.10.9/lib/python3.10/site-packages/torchvision/datasets/celeba.py:150, in CelebA.download(self)
147 return
149 for (file_id, md5, filename) in self.file_list:
--> 150 download_file_from_google_drive(file_id, os.path.join(self.root, self.base_folder), filename, md5)
152 extract_archive(os.path.join(self.root, self.base_folder, "img_align_celeba.zip"))

File /apps/python/3.10/3.10.9/lib/python3.10/site-packages/torchvision/datasets/utils.py:280, in download_file_from_google_drive(file_id, root, filename, md5)
272 warnings.warn(
273 f"We detected some HTML elements in the downloaded file. "
274 f"This most likely means that the download triggered an unhandled API response by GDrive. "
275 f"Please report this to torchvision at https://github.com/pytorch/vision/issues including "
276 f"the response:\n\n{text}"
277 )
279 if md5 and not check_md5(fpath, md5):
--> 280 raise RuntimeError(
281 f"The MD5 checksum of the download file {fpath} does not match the one on record."
282 f"Please delete the file and try again. "
283 f"If the issue persists, please report this to torchvision at https://github.com/pytorch/vision/issues."
284 )

RuntimeError: The MD5 checksum of the download file Datasets/celeba/img_align_celeba.zip does not match the one on record.Please delete the file and try again. If the issue persists, please report this to torchvision at https://github.com/pytorch/vision/issues.

Versions

Collecting environment information...
PyTorch version: 1.12.1+cu113
Is debug build: False
CUDA used to build PyTorch: 11.3
ROCM used to build PyTorch: N/A

OS: Red Hat Enterprise Linux release 8.10 (Ootpa) (x86_64)
GCC version: (GCC) 8.5.0 20210514 (Red Hat 8.5.0-22)
Clang version: 17.0.6 (Red Hat 17.0.6-1.module+el8.10.0+20808+e12784c0)
CMake version: version 3.26.5
Libc version: glibc-2.28

Python version: 3.10.9 (main, Feb 22 2023, 19:43:33) [GCC 8.5.0 20210514 (Red Hat 8.5.0-16)] (64-bit runtime)
Python platform: Linux-4.18.0-553.8.1.el8_10.x86_64-x86_64-with-glibc2.28
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 64
On-line CPU(s) list: 0-63
Thread(s) per core: 1
Core(s) per socket: 32
Socket(s): 2
NUMA node(s): 2
Vendor ID: AuthenticAMD
CPU family: 25
Model: 17
Model name: AMD EPYC 9334 32-Core Processor
Stepping: 1
CPU MHz: 3894.037
CPU max MHz: 3910.2529
CPU min MHz: 1500.0000
BogoMIPS: 5391.75
Virtualization: AMD-V
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 32768K
NUMA node0 CPU(s): 0-31
NUMA node1 CPU(s): 32-63
Flags: (removed)

Versions of relevant libraries:
[pip3] flake8==6.0.0
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.26.2
[pip3] nvidia-cublas-cu11==11.10.3.66
[pip3] nvidia-cuda-nvrtc-cu11==11.7.99
[pip3] nvidia-cuda-runtime-cu11==11.7.99
[pip3] nvidia-cudnn-cu11==8.5.0.96
[pip3] torch==1.12.1+cu113
[pip3] torchaudio==0.12.1+cu113
[pip3] torchvision==0.13.1+cu113
[conda] Could not collect