multi-task-tcc-robosuite / scripts /launch_rl_multi_gpu.sh
Renton-Ren's picture
Upload folder using huggingface_hub (part 41)
337a98d verified
Raw
History Blame Contribute Delete
1.35 kB
# 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