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I am currently working on the STL10 dataset, but it seems that there is some problem downloading the data. It gets stuck while downloading judging from the stack trace. I hunted down the URL from the dataset (http://ai.stanford.edu/~acoates/stl10/stl10_binary.tar.gz) and there does not seem to be a problem from their side. Does somebody else have the same problem?
Python version: 3.8 (64-bit runtime)
Is CUDA available: False
CUDA runtime version: No CUDA
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
🐛 Bug
I am currently working on the STL10 dataset, but it seems that there is some problem downloading the data. It gets stuck while downloading judging from the stack trace. I hunted down the URL from the dataset (http://ai.stanford.edu/~acoates/stl10/stl10_binary.tar.gz) and there does not seem to be a problem from their side. Does somebody else have the same problem?
To Reproduce
Steps to reproduce the behaviour:
Expected behaviour
The dataset should be downloaded and extracted.
Environment
PyTorch version: 1.8.0+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04.1 LTS (x86_64)
GCC version: (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
Clang version: 10.0.0-4ubuntu1
CMake version: version 3.16.3
Python version: 3.8 (64-bit runtime)
Is CUDA available: False
CUDA runtime version: No CUDA
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
Versions of relevant libraries:
[pip3] numpy==1.20.1
[pip3] pytorch-lightning==1.1.8
[pip3] torch==1.8.0+cpu
[pip3] torchaudio==0.8.0
[pip3] torchvision==0.9.0
cc @pmeier
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