diff --git a/tests/data/save_policy_to_safetensors/aloha_act/actions.safetensors b/tests/data/save_policy_to_safetensors/aloha_act/actions.safetensors index c816148f..c5176423 100644 --- a/tests/data/save_policy_to_safetensors/aloha_act/actions.safetensors +++ b/tests/data/save_policy_to_safetensors/aloha_act/actions.safetensors @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:631e31d6166fa0b38a1b270855a7802a0d748b07a9c3cf21448c5c1ea4f5fa9d -size 51248 +oid sha256:523f220f3acbab0cd4aef8a13c77916634488b1af08a06e4e65d1aecafdc2cae +size 5104 diff --git a/tests/scripts/save_policy_to_safetensor.py b/tests/scripts/save_policy_to_safetensor.py index ccdd204c..5daf96e5 100644 --- a/tests/scripts/save_policy_to_safetensor.py +++ b/tests/scripts/save_policy_to_safetensor.py @@ -19,7 +19,6 @@ from pathlib import Path import torch from safetensors.torch import save_file -from lerobot import available_policies_per_env from lerobot.common.datasets.factory import make_dataset from lerobot.common.policies.factory import make_policy from lerobot.common.utils.utils import init_hydra_config, set_global_seed @@ -27,14 +26,14 @@ from lerobot.scripts.train import make_optimizer_and_scheduler from tests.utils import DEFAULT_CONFIG_PATH -def get_policy_stats(env_name, policy_name): +def get_policy_stats(env_name, policy_name, extra_overrides): cfg = init_hydra_config( DEFAULT_CONFIG_PATH, overrides=[ f"env={env_name}", f"policy={policy_name}", "device=cpu", - ], + ] + extra_overrides, ) set_global_seed(1337) dataset = make_dataset(cfg) @@ -88,14 +87,14 @@ def get_policy_stats(env_name, policy_name): return output_dict, grad_stats, param_stats, actions -def save_policy_to_safetensors(output_dir, env_name, policy_name): +def save_policy_to_safetensors(output_dir, env_name, policy_name, extra_overrides): env_policy_dir = Path(output_dir) / f"{env_name}_{policy_name}" if env_policy_dir.exists(): shutil.rmtree(env_policy_dir) env_policy_dir.mkdir(parents=True, exist_ok=True) - output_dict, grad_stats, param_stats, actions = get_policy_stats(env_name, policy_name) + output_dict, grad_stats, param_stats, actions = get_policy_stats(env_name, policy_name, extra_overrides) save_file(output_dict, env_policy_dir / "output_dict.safetensors") save_file(grad_stats, env_policy_dir / "grad_stats.safetensors") save_file(param_stats, env_policy_dir / "param_stats.safetensors") @@ -103,6 +102,14 @@ def save_policy_to_safetensors(output_dir, env_name, policy_name): if __name__ == "__main__": - for env, policies in available_policies_per_env.items(): - for policy in policies: - save_policy_to_safetensors("tests/data/save_policy_to_safetensors", env, policy) + env_policies = [ + ("xarm", "tdmpc", []), + ( + "pusht", + "diffusion", + ["policy.n_action_steps=8", "policy.num_inference_steps=10", "policy.down_dims=[128, 256, 512]"], + ), + ("aloha", "act", ["policy.n_action_steps=10"]), + ] + for env, policy, extra_overrides in env_policies: + save_policy_to_safetensors("tests/data/save_policy_to_safetensors", env, policy, extra_overrides)