Comments (2)
Hi @saharad1. Could you please provide the minihack
and nle
package versions in your conda environment, as well as the below?
You can get the script and run it with:
# with repo already installed
$ python -m minihack.scripts.collect_env
# or instead pull it from github
wget https://raw.githubusercontent.com/facebookresearch/minihack/main/minihack/scripts/collect_env.py
# For security purposes, please check the contents of collect_env.py before running it.
python collect_env.py
This will print all the relevant information.
Thanks.
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Hi thanks for the comment.
The environment is:
MiniHack version: 0.1.5+1fe80fc
NLE version: 0.9.0
Gym version: 0.21.0
PyTorch version: 2.0.1
Is debug build: No
CUDA used to build PyTorch: None
OS: Mac OSX 13.4.1
GCC version: Could not collect
CMake version: version 3.27.1
Python version: 3.8
Is CUDA available: No
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
Versions of relevant libraries:
[pip3] libtorch==1.2.0.1
[pip3] numpy==1.24.3
[pip3] torch==2.0.1
[pip3] torchaudio==2.0.2
[pip3] torchvision==0.15.2
[conda] libtorch 1.2.0.1 pypi_0 pypi
[conda] torch 2.0.1 pypi_0 pypi
[conda] torchaudio 2.0.2 pypi_0 pypi
[conda] torchvision 0.15.2 pypi_0 pypi
I was able to find a get-around by cloning the repo manually so it turned out to be working.
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Related Issues (20)
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