The pythons listed in the table below are available. As they are all provided as packages that come with the operating system, you do not need to set up the environment with module files.
| Version | Module File Name | SystemA | System B/C | System G | Cloud System | Notes |
|---|---|---|---|---|---|---|
| 2.7 | none | + | + | + | + | Command Name: python2.7, pip2.7 |
| 3.6 | none | + | + | + | + | Command Name: python3.6, pip3.6 |
| 3.8 | none | + | + | + | + | Command Name: python3.8, pip3.8 |
| 3.11 | none | + | + | + | + | Command Name: python3.11, pip3.11 |
+ ： Available for all users
- ： Not available
You can check the libraries installed by default with the pip command. If you need additional packages, you can use the pip command to install additional packages in your HOME directory.
##When you display a list of installed packages in a python 3.8 environment
$ pip3.8 list
Package Version
---------------------------- ----------
absl-py 1.3.0
asgiref 3.6.0
astunparse 1.6.3
...The following Python packages have been installed in a specific python environment in advance. 以下のPythonパッケージは予め特定のpython環境にインストールしてあります。 You need to load the module file to use.
| Python | System | Type | Package | Version | Library | Module File | Notes |
|---|---|---|---|---|---|---|---|
| python3.11 | A/B/C | CPU | TensorFlow | 2.15.0 | MKL 2023.2 | tensorflow/2.15.0.py311_intel-2023.2 | Intel Extension for TensorFlow |
| python3.11 | A/B/C | CPU | TensorFlow | 2.14.0 | MKL 2023.2 | tensorflow/2.14.0.py311_intel-2023.2 | Intel Optimized AVX512 version |
| python3.11 | A/B/C | CPU | PyTorch | 2.2.0 | MKL 2023.2 | pytorch/2.2.0.py311_intel-2023.2 | Intel Optimized AVX512 version |
| python3.11 | G | GPU | PyTorch | 2.2.0 | CUDA 12.1 | pytorch/2.2.0.py311_cuda-12.1 | GPU version |
| python3.8 | A/B/C | CPU | TensorFlow | 2.11.0 | MKL 2022.3 | tensorflow/2.11.0.py38_intel-2022.3 | Intel Optimized AVX512 version |
| python3.8 | A/B/C | CPU | MXNet | 1.6.0 | MKL 2022.3 | mxnet/1.6.0.py38_intel-2022.3 | MKL-compliant version |
| python3.8 | A/B/C | CPU | PyTorch | 1.13.1 | MKL 2022.3 | pytorch/1.13.1.py38_intel-2022.3 | intel extension for pytorch Available |
| python3.8 | G | GPU | TensorFlow | 2.11.0 | CUDA 11.2 | tensorflow/2.11.0.py38_cuda-11.2 | GPU version_TensorRT Available |
| python3.8 | G | GPU | MXNet | 1.9.1 | CUDA 11.7 | mxnet/1.9.1.py38_cuda-11.7 | GPU version |
| python3.8 | G | GPU | PyTorch | 1.13.1 | CUDA 11.7 | pytorch/1.13.1.py38_cuda-11.7 | GPU version |
If you need additional packages, you can install additional packages in your HOME directory with the pip command. Example of adding flask:
pip install --user flaskMiniforge, Python packages available, is installed, a set of Python packages available. See Miniforge for more information.