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In my case, under the main data directory, each class in the error message has two directories, one contains videos, and another is empty. After I delete empty directories, the error is solved. But I got a new issue that loading the dataset will fail at the same point because of DataLoader worker fails.
馃悰 Describe the bug
error:
Versions
PyTorch version: 1.12.1+cu102
Is debug build: False
CUDA used to build PyTorch: 10.2
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04.2 LTS (x86_64)
GCC version: (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
Clang version: Could not collect
CMake version: version 3.16.3
Libc version: glibc-2.2.5
Python version: 3.7.6 (default, Feb 18 2020, 21:28:31) [GCC 9.3.0] (64-bit runtime)
Python platform: Linux-5.4.0-70-generic-x86_64-with-debian-bullseye-sid
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to:
GPU models and configuration:
GPU 0: NVIDIA A100 80GB PCIe
GPU 1: NVIDIA A100 80GB PCIe
GPU 2: NVIDIA A100 80GB PCIe
GPU 3: NVIDIA A100 80GB PCIe
Nvidia driver version: 510.47.03
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Versions of relevant libraries:
[pip3] numpy==1.21.4
[pip3] torch==1.12.1
[pip3] torchaudio==0.8.1
[pip3] torchvision==0.13.1
[conda] Could not collect
cc @pmeier
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