Quick Tips #1: How to obtain environment information using PyTorch

Siladittya Manna
The Owl
Published in
1 min readJan 25, 2022

via Terminal

Source

Just run

python -m torch.utils.collect_env

Output

Collecting environment information…
PyTorch version: 1.9.1+cu111
Is debug build: False
CUDA used to build PyTorch: 11.1
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04 LTS (x86_64)
GCC version: (Ubuntu 9.3.0–17ubuntu1~20.04) 9.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.31
Python version: 3.8 (64-bit runtime)
Python platform: Linux-5.8.0–38-generic-x86_64-with-glibc2.29
Is CUDA available: True
CUDA runtime version: 10.0.130
GPU models and configuration: GPU 0: GeForce RTX 2080 Ti
Nvidia driver version: 450.102.04
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.0.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.0.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.0.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.0.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.0.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.0.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.0.0
HIP runtime version: N/A
MIOpen runtime version: N/A
Versions of relevant libraries:
[pip3] numpy==1.19.0
[pip3] torch==1.9.1+cu111
[pip3] torchaudio==0.9.1
[pip3] torchvision==0.10.1+cu111
[conda] Could not collect

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Siladittya Manna
The Owl

Senior Research Fellow @ CVPR Unit, Indian Statistical Institute, Kolkata || Research Interest : Computer Vision, SSL, MIA. || https://sadimanna.github.io