Tidy up yaml configs (#121)

This commit is contained in:
Alexander Soare
2024-04-30 16:08:59 +01:00
committed by GitHub
parent e4e739f4f8
commit 9d60dce6f3
21 changed files with 142 additions and 207 deletions

View File

@@ -30,21 +30,21 @@ test-act-ete-train:
policy=act \
env=aloha \
wandb.enable=False \
offline_steps=2 \
online_steps=0 \
eval_episodes=1 \
training.offline_steps=2 \
training.online_steps=0 \
eval.n_episodes=1 \
device=cpu \
save_model=true \
save_freq=2 \
training.save_model=true \
training.save_freq=2 \
policy.n_action_steps=20 \
policy.chunk_size=20 \
policy.batch_size=2 \
training.batch_size=2 \
hydra.run.dir=tests/outputs/act/
test-act-ete-eval:
python lerobot/scripts/eval.py \
--config tests/outputs/act/.hydra/config.yaml \
eval_episodes=1 \
eval.n_episodes=1 \
env.episode_length=8 \
device=cpu \
policy.pretrained_model_path=tests/outputs/act/models/2.pt
@@ -54,19 +54,19 @@ test-diffusion-ete-train:
policy=diffusion \
env=pusht \
wandb.enable=False \
offline_steps=2 \
online_steps=0 \
eval_episodes=1 \
training.offline_steps=2 \
training.online_steps=0 \
eval.n_episodes=1 \
device=cpu \
save_model=true \
save_freq=2 \
policy.batch_size=2 \
training.save_model=true \
training.save_freq=2 \
training.batch_size=2 \
hydra.run.dir=tests/outputs/diffusion/
test-diffusion-ete-eval:
python lerobot/scripts/eval.py \
--config tests/outputs/diffusion/.hydra/config.yaml \
eval_episodes=1 \
eval.n_episodes=1 \
env.episode_length=8 \
device=cpu \
policy.pretrained_model_path=tests/outputs/diffusion/models/2.pt
@@ -76,20 +76,20 @@ test-tdmpc-ete-train:
policy=tdmpc \
env=xarm \
wandb.enable=False \
offline_steps=1 \
online_steps=2 \
eval_episodes=1 \
training.offline_steps=1 \
training.online_steps=2 \
eval.n_episodes=1 \
env.episode_length=2 \
device=cpu \
save_model=true \
save_freq=2 \
policy.batch_size=2 \
training.save_model=true \
training.save_freq=2 \
training.batch_size=2 \
hydra.run.dir=tests/outputs/tdmpc/
test-tdmpc-ete-eval:
python lerobot/scripts/eval.py \
--config tests/outputs/tdmpc/.hydra/config.yaml \
eval_episodes=1 \
eval.n_episodes=1 \
env.episode_length=8 \
device=cpu \
policy.pretrained_model_path=tests/outputs/tdmpc/models/2.pt