Cleanup policies imports

lerobot/common/datasets/factory.py

@@ -24,7 +24,7 @@ from lerobot.common.datasets.lerobot_dataset import (
     MultiLeRobotDataset,
 )
 from lerobot.common.datasets.transforms import ImageTransforms
-from lerobot.common.policies.config import PreTrainedConfig
+from lerobot.common.policies import PreTrainedConfig
 from lerobot.configs.train import TrainPipelineConfig
 
 IMAGENET_STATS = {

lerobot/common/policies/__init__.py

@@ -13,6 +13,8 @@
 # limitations under the License.
 
 from . import act, diffusion, pi0, tdmpc, vqbet
+from .config import PreTrainedConfig
 from .factory import make_policy
+from .pretrained import PreTrainedPolicy
 
-__all__ = ["act", "diffusion", "pi0", "tdmpc", "vqbet", "make_policy"]
+__all__ = ["act", "diffusion", "pi0", "tdmpc", "vqbet", "make_policy", "PreTrainedConfig", "PreTrainedPolicy"]

lerobot/common/policies/act/__init__.py

@@ -1,4 +1,4 @@
 from .configuration_act import ACTConfig
-from .modeling_act import ACT
+from .modeling_act import ACTPolicy
 
-__all__ = ["ACTConfig", "ACT"]
+__all__ = ["ACTConfig", "ACTPolicy"]

lerobot/common/policies/factory.py

@@ -22,53 +22,59 @@ from lerobot.common.datasets.lerobot_dataset import LeRobotDatasetMetadata
 from lerobot.common.datasets.utils import dataset_to_policy_features
 from lerobot.common.envs.configs import EnvConfig
 from lerobot.common.envs.utils import env_to_policy_features
-from lerobot.common.policies.act.configuration_act import ACTConfig
-from lerobot.common.policies.config import PreTrainedConfig
-from lerobot.common.policies.diffusion.configuration_diffusion import DiffusionConfig
-from lerobot.common.policies.pi0.configuration_pi0 import PI0Config
-from lerobot.common.policies.pretrained import PreTrainedPolicy
-from lerobot.common.policies.tdmpc.configuration_tdmpc import TDMPCConfig
-from lerobot.common.policies.vqbet.configuration_vqbet import VQBeTConfig
 from lerobot.configs.types import FeatureType
 
+from .config import PreTrainedConfig
+from .pretrained import PreTrainedPolicy
+
 
 def get_policy_class(name: str) -> PreTrainedPolicy:
     """Get the policy's class and config class given a name (matching the policy class' `name` attribute)."""
-    if name == "tdmpc":
-        from lerobot.common.policies.tdmpc.modeling_tdmpc import TDMPCPolicy
-
-        return TDMPCPolicy
-    elif name == "diffusion":
-        from lerobot.common.policies.diffusion.modeling_diffusion import DiffusionPolicy
-
-        return DiffusionPolicy
-    elif name == "act":
-        from lerobot.common.policies.act.modeling_act import ACTPolicy
+    if name == "act":
+        from .act import ACTPolicy
 
         return ACTPolicy
-    elif name == "vqbet":
-        from lerobot.common.policies.vqbet.modeling_vqbet import VQBeTPolicy
+    elif name == "diffusion":
+        from .diffusion import DiffusionPolicy
 
-        return VQBeTPolicy
+        return DiffusionPolicy
     elif name == "pi0":
-        from lerobot.common.policies.pi0.modeling_pi0 import PI0Policy
+        from .pi0 import PI0Policy
 
         return PI0Policy
+    elif name == "tdmpc":
+        from .tdmpc import TDMPCPolicy
+
+        return TDMPCPolicy
+    elif name == "vqbet":
+        from .vqbet import VQBeTPolicy
+
+        return VQBeTPolicy
     else:
         raise NotImplementedError(f"Policy with name {name} is not implemented.")
 
 
 def make_policy_config(policy_type: str, **kwargs) -> PreTrainedConfig:
-    if policy_type == "tdmpc":
-        return TDMPCConfig(**kwargs)
-    elif policy_type == "diffusion":
-        return DiffusionConfig(**kwargs)
-    elif policy_type == "act":
+    if policy_type == "act":
+        from .act import ACTConfig
+
         return ACTConfig(**kwargs)
-    elif policy_type == "vqbet":
-        return VQBeTConfig(**kwargs)
+    elif policy_type == "diffusion":
+        from .diffusion import DiffusionConfig
+
+        return DiffusionConfig(**kwargs)
     elif policy_type == "pi0":
+        from .pi0 import PI0Config
+
         return PI0Config(**kwargs)
+    elif policy_type == "tdmpc":
+        from .tdmpc import TDMPCConfig
+
+        return TDMPCConfig(**kwargs)
+    elif policy_type == "vqbet":
+        from .vqbet import VQBeTConfig
+
+        return VQBeTConfig(**kwargs)
     else:
         raise ValueError(f"Policy type '{policy_type}' is not available.")
 

lerobot/common/policies/pi0/conversion_scripts/benchmark.py

@@ -15,8 +15,7 @@
 import torch
 
 from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
-from lerobot.common.policies.config import PreTrainedConfig
-from lerobot.common.policies.factory import make_policy
+from lerobot.common.policies import PreTrainedConfig, make_policy
 
 torch.backends.cudnn.benchmark = True
 

lerobot/common/policies/pi0/conversion_scripts/compare_with_jax.py

@@ -19,8 +19,7 @@ from pathlib import Path
 import torch
 
 from lerobot.common.datasets.lerobot_dataset import LeRobotDatasetMetadata
-from lerobot.common.policies.config import PreTrainedConfig
-from lerobot.common.policies.factory import make_policy
+from lerobot.common.policies import PreTrainedConfig, make_policy
 
 
 def display(tensor: torch.Tensor):

lerobot/common/policies/pretrained.py

@@ -26,9 +26,10 @@ from safetensors.torch import load_model as load_model_as_safetensor
 from safetensors.torch import save_model as save_model_as_safetensor
 from torch import Tensor, nn
 
-from lerobot.common.policies.config import PreTrainedConfig
 from lerobot.common.utils.hub import HubMixin
 
+from .config import PreTrainedConfig
+
 T = TypeVar("T", bound="PreTrainedPolicy")
 
 DEFAULT_POLICY_CARD = """

lerobot/common/robot_devices/control_configs.py

@@ -17,7 +17,7 @@ from pathlib import Path
 
 import draccus
 
-from lerobot.common.policies.config import PreTrainedConfig
+from lerobot.common.policies import PreTrainedConfig
 from lerobot.common.robot_devices.robots.configs import RobotConfig
 from lerobot.configs import parser
 

lerobot/configs/eval.py

@@ -18,7 +18,7 @@ from dataclasses import dataclass, field
 from pathlib import Path
 
 from lerobot.common import envs, policies  # noqa: F401
-from lerobot.common.policies.config import PreTrainedConfig
+from lerobot.common.policies import PreTrainedConfig
 from lerobot.configs import parser
 from lerobot.configs.default import EvalConfig
 

lerobot/configs/train.py

@@ -24,7 +24,7 @@ from huggingface_hub.errors import HfHubHTTPError
 from lerobot.common import envs
 from lerobot.common.optim import OptimizerConfig
 from lerobot.common.optim.schedulers import LRSchedulerConfig
-from lerobot.common.policies.config import PreTrainedConfig
+from lerobot.common.policies import PreTrainedConfig
 from lerobot.common.utils.hub import HubMixin
 from lerobot.configs import parser
 from lerobot.configs.default import DatasetConfig, EvalConfig, WandBConfig

lerobot/scripts/control_robot.py

@@ -141,7 +141,7 @@ from pprint import pformat
 
 # from safetensors.torch import load_file, save_file
 from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
-from lerobot.common.policies.factory import make_policy
+from lerobot.common.policies import make_policy
 from lerobot.common.robot_devices.control_configs import (
     CalibrateControlConfig,
     ControlPipelineConfig,

lerobot/scripts/eval.py

@@ -67,8 +67,7 @@ from tqdm import trange
 
 from lerobot.common.envs.factory import make_env
 from lerobot.common.envs.utils import preprocess_observation
-from lerobot.common.policies.factory import make_policy
-from lerobot.common.policies.pretrained import PreTrainedPolicy
+from lerobot.common.policies import PreTrainedPolicy, make_policy
 from lerobot.common.policies.utils import get_device_from_parameters
 from lerobot.common.utils.io_utils import write_video
 from lerobot.common.utils.random_utils import set_seed

lerobot/scripts/train.py

@@ -29,8 +29,7 @@ from lerobot.common.datasets.sampler import EpisodeAwareSampler
 from lerobot.common.datasets.utils import cycle
 from lerobot.common.envs.factory import make_env
 from lerobot.common.optim.factory import make_optimizer_and_scheduler
-from lerobot.common.policies.factory import make_policy
-from lerobot.common.policies.pretrained import PreTrainedPolicy
+from lerobot.common.policies import PreTrainedPolicy, make_policy
 from lerobot.common.policies.utils import get_device_from_parameters
 from lerobot.common.utils.logging_utils import AverageMeter, MetricsTracker
 from lerobot.common.utils.random_utils import set_seed

tests/scripts/save_policy_to_safetensors.py

@@ -21,7 +21,8 @@ from safetensors.torch import save_file
 
 from lerobot.common.datasets.factory import make_dataset
 from lerobot.common.optim.factory import make_optimizer_and_scheduler
-from lerobot.common.policies.factory import make_policy, make_policy_config
+from lerobot.common.policies import make_policy
+from lerobot.common.policies.factory import make_policy_config
 from lerobot.common.utils.random_utils import set_seed
 from lerobot.configs.default import DatasetConfig
 from lerobot.configs.train import TrainPipelineConfig

tests/test_control_robot.py

@@ -41,9 +41,8 @@ from unittest.mock import patch
 
 import pytest
 
+from lerobot.common.policies import PreTrainedConfig, make_policy
 from lerobot.common.policies.act.configuration_act import ACTConfig
-from lerobot.common.policies.config import PreTrainedConfig
-from lerobot.common.policies.factory import make_policy
 from lerobot.common.robot_devices.control_configs import (
     CalibrateControlConfig,
     RecordControlConfig,