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337a98d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | # 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
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