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Training Base Image (PyTorch)
Updated on 2023-06-19 GMT+08:00
Training Base Image (PyTorch)
This section describes preset PyTorch images.
Engine Version: pytorch_1.8.0-cuda_10.2-py_3.7-ubuntu_18.04-x86_64
- Image address: swr.{region}.myhuaweicloud.com/aip/pytorch_1_8:train-pytorch_1.8.0-cuda_10.2-py_3.7-ubuntu_18.04-x86_64-roma-20220309171256-40adcc1
- Image creation time: 20220309171256 (yyyy-mm-dd-hh-mm-ss)
- Image system version: Ubuntu 18.04.4 LTS
- cuda: 10.2.89
- cudnn: 7.6.5.32
- Path and version of the Python interpreter: /home/ma-user/anaconda3/envs/PyTorch-1.8/bin/python, python 3.7.10
- Third-party package installation path: /home/ma-user/anaconda3/envs/PyTorch-1.8/lib/python3.7/site-packages
- The versions of some third-party packages:
Cython 0.27.3 dask 2022.2.0 easydict 1.9 enum34 1.1.10 torch 1.8.0 Flask 1.1.1 grpcio 1.44.0 gunicorn 20.1.0 idna 3.3 torchtext 0.5.0 imageio 2.16.0 imgaug 0.4.0 lxml 4.8.0 matplotlib 3.5.1 torchvision 0.9.0 mmcv 1.2.7 numba 0.47.0 numpy 1.21.5 opencv-python 4.1.2.30 toml 0.10.2 pandas 1.1.5 Pillow 9.0.1 pip 21.2.2 protobuf 3.19.4 scikit-learn 0.22.1 psutil 5.8.0 PyYAML 6.0 requests 2.27.1 scikit-image 0.19.2 ...
- Earlier versions: none
Parent topic: Training Base Image
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