| # Copyright 2024 The Google Research Authors. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| #!/bin/bash | |
| # | |
| # An example script for launching 5 RL seeds across 2 GPUs. | |
| set -e | |
| while getopts e:i: flag | |
| do | |
| case "${flag}" in | |
| e) embodiment=${OPTARG};; | |
| i) iters=${OPTARG};; | |
| esac | |
| done | |
| ENV_NAME="SweepToTop-"${embodiment^}"-State-Allo-TestLayout-v0" | |
| NAME="env_reward_$embodiment" | |
| for seed in {0..2} | |
| do | |
| python train_policy.py \ | |
| --experiment_name $NAME \ | |
| --env_name $ENV_NAME \ | |
| --seed=$seed \ | |
| --device="cuda:0" \ | |
| --config.num_train_steps=$iters \ | |
| & | |
| done | |
| for seed in {3..4} | |
| do | |
| python train_policy.py \ | |
| --experiment_name $NAME \ | |
| --env_name $ENV_NAME \ | |
| --seed=$seed \ | |
| --device="cuda:1" \ | |
| --config.num_train_steps=$iters \ | |
| & | |
| done | |