setup

• copy .env.example to .env

  $ cp .env.example .env

  • If you want to enable GPUs, set the .env file as follows

    TARGET_ARCH=gpu
    RUNTIME=nvidia
    TARGET_IMAGE=nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04

  • If you use the CPU, set the .env file as follows

    TARGET_ARCH=cpu

• build docker image

  $ docker-compose build

• run docker container

  $ docker-compose up -d

run

• exec learning

  $ docker-compose exec rl_adjust_pose bash
  $ python3 src/learning.py

• exec tensorboard

  $ docker exec rl_adjust_pose tensorboard --logdir logs
  

  • http://localhost:6006/

note

• If X forwading is failing, try the following command on the host side.

  $ xhost +local: