Move normalize/unnormalize transforms to policy for act and diffusion

examples/3_evaluate_pretrained_policy.py

@@ -19,7 +19,6 @@ folder = Path(snapshot_download(hub_id))
 
 config_path = folder / "config.yaml"
 weights_path = folder / "model.pt"
-stats_path = folder / "stats.pth"  # normalization stats
 
 # Override some config parameters to do with evaluation.
 overrides = [
@@ -36,5 +35,4 @@ cfg = init_hydra_config(config_path, overrides)
 eval(
     cfg,
     out_dir=f"outputs/eval/example_{cfg.env.name}_{cfg.policy.name}",
-    stats_path=stats_path,
 )

examples/4_train_policy.py

@@ -62,7 +62,6 @@ while not done:
             done = True
             break
 
-# Save the policy, configuration, and normalization stats for later use.
+# Save the policy and configuration for later use.
 policy.save(output_directory / "model.pt")
 OmegaConf.save(hydra_cfg, output_directory / "config.yaml")
-torch.save(dataset.transform.transforms[-1].stats, output_directory / "stats.pth")