A pre-configured and fully integrated software stack with PyTorch, an open source machine learning library, and Python 3.6. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU.
| Version: | 0.3.0 |
| Python version: | Python 3.6.3 |
| Path to interpreter: | /jet/bin/python |
| Entry point: | /jet/enter |
| Working directory: | /jet/prs |
| Configurations: | /jet/etc |
| Log files: | /jet/log |
| Applications: | /jet/app |
| Applications data: | /jet/var |
| Temporary files: | /jet/tmp |
| Persistent data: | /jet/prs |
| Available services: | cron monit orientation |
| Start all services: | start |
| Stop all services: | stop |
| Service commands: | available|enabled|disabled|enable|disable|start|stop|status|restart servicename |
| Version: | 5.19.0 |
| Main config: | /jet/etc/monit/monitrc |
| Additional config files: | /jet/etc/monit/monit.d |
| Logfile: | /jet/log/monit/monit.log |
| Start: | start monit |
| Stop: | stop monit |
| Restart: | restart monit |
| Reload: | reload monit |
| Status: | monit summary monit status |
| Perl version: | v5.26.1 |
| Path to interpreter: | /jet/bin/perl |
