forked from tangger/lerobot
chore(autopolicyconfig): test main + format
This commit is contained in:
@@ -12,11 +12,13 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from collections import OrderedDict
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import importlib
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from lerobot.configs.policies import PreTrainedConfig
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from typing import Type, Union, Dict, Optional
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import os
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from collections import OrderedDict
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from pathlib import Path
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from typing import Union
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from lerobot.configs.policies import PreTrainedConfig
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POLICY_CONFIG_NAMES_MAPPING = OrderedDict(
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[
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@@ -24,31 +26,10 @@ POLICY_CONFIG_NAMES_MAPPING = OrderedDict(
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]
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)
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POLICY_NAMES_MAPPING = OrderedDict(
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[
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("act", "ACTPolicy"),
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]
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)
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def model_type_to_module_name(model_type: str) -> str:
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"""Convert model type to module name format."""
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return model_type.replace("-", "_")
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def find_policy_type_from_config(config_dict: dict) -> str:
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"""Find the policy type from a config dictionary."""
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if "type" in config_dict:
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return config_dict["type"]
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# Fallback: try to infer from class name
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if "policy_class" in config_dict:
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for policy_type, class_name in POLICY_CONFIG_NAMES_MAPPING.items():
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if class_name in config_dict["policy_class"]:
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return policy_type
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raise ValueError(
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"Could not determine policy type from config. "
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"Config must contain either 'type' or 'policy_class' field."
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)
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def policy_type_to_module_name(policy_type: str) -> str:
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"""Convert policy type to module name format."""
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return policy_type.replace("-", "_")
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class _LazyPolicyConfigMapping(OrderedDict):
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"""
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@@ -65,10 +46,10 @@ class _LazyPolicyConfigMapping(OrderedDict):
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return self._extra_content[key]
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if key not in self._mapping:
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raise KeyError(key)
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value = self._mapping[key]
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module_name = model_type_to_module_name(key)
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module_name = policy_type_to_module_name(key)
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# Try standard import path first
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try:
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if key not in self._modules:
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@@ -88,19 +69,17 @@ class _LazyPolicyConfigMapping(OrderedDict):
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return getattr(self._modules[key], value)
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except ImportError:
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continue
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raise ImportError(
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f"Could not find configuration class {value} for policy type {key}"
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)
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raise ImportError(f"Could not find configuration class {value} for policy type {key}")
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def keys(self):
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return list(self._mapping.keys()) + list(self._extra_content.keys())
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def values(self):
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return [self[k] for k in self._mapping.keys()] + list(self._extra_content.values())
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return [self[k] for k in self._mapping] + list(self._extra_content.values())
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def items(self):
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return [(k, self[k]) for k in self._mapping.keys()] + list(self._extra_content.items())
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return [(k, self[k]) for k in self._mapping] + list(self._extra_content.items())
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def __iter__(self):
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return iter(list(self._mapping.keys()) + list(self._extra_content.keys()))
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@@ -112,35 +91,32 @@ class _LazyPolicyConfigMapping(OrderedDict):
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"""
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Register a new configuration in this mapping.
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"""
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if key in self._mapping.keys() and not exist_ok:
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if key in self._mapping and not exist_ok:
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raise ValueError(f"'{key}' is already used by a Policy Config, pick another name.")
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self._extra_content[key] = value
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POLICY_CONFIG_MAPPING = _LazyPolicyConfigMapping(POLICY_CONFIG_NAMES_MAPPING)
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class AutoPolicyConfig:
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"""
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Factory class for automatically loading policy configurations.
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This class provides methods to:
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- Load pre-trained policy configurations from local files or the Hub
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- Register new policy types dynamically
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- Create policy configurations for specific policy types
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"""
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def __init__(self):
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raise EnvironmentError(
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raise OSError(
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"AutoPolicyConfig is designed to be instantiated "
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"using the `AutoPolicyConfig.from_pretrained(TODO)` method."
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)
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@classmethod
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def for_policy(
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cls,
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policy_type: str,
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*args,
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**kwargs
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) -> PreTrainedConfig:
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def for_policy(cls, policy_type: str, *args, **kwargs) -> PreTrainedConfig:
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"""Create a new configuration instance for the specified policy type."""
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if policy_type in POLICY_CONFIG_MAPPING:
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config_class = POLICY_CONFIG_MAPPING[policy_type]
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@@ -148,7 +124,7 @@ class AutoPolicyConfig:
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raise ValueError(
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f"Unrecognized policy identifier: {policy_type}. Should contain one of {', '.join(POLICY_CONFIG_MAPPING.keys())}"
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)
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@staticmethod
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def register(policy_type, config, exist_ok=False):
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"""
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@@ -166,27 +142,9 @@ class AutoPolicyConfig:
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)
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POLICY_CONFIG_MAPPING.register(policy_type, config, exist_ok=exist_ok)
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@staticmethod
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def register_policy_type(policy_type: str, config_class: str, policy_class: str) -> None:
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"""
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Register a new policy type with its configuration and policy classes.
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Args:
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policy_type (`str`): The policy type identifier (e.g., 'act')
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config_class (`str`): Name of the configuration class
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policy_class (`str`): Name of the policy class
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"""
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if policy_type in POLICY_CONFIG_NAMES_MAPPING:
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raise ValueError(f"Policy type {policy_type} is already registered")
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POLICY_CONFIG_NAMES_MAPPING[policy_type] = config_class
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POLICY_NAMES_MAPPING[policy_type] = policy_class
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@classmethod
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def from_pretrained(
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cls,
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pretrained_policy_config_name_or_path: Union[str, Path],
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**kwargs
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cls, pretrained_policy_config_name_or_path: Union[str, Path], **kwargs
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) -> PreTrainedConfig:
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"""
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Instantiate a PreTrainedConfig from a pre-trained policy configuration.
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@@ -194,9 +152,9 @@ class AutoPolicyConfig:
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Args:
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pretrained_policy_config_name_or_path (`str` or `Path`):
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Can be either:
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- A string with the `policy_type` of a pre-trained policy configuration listed on
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- A string with the `policy_type` of a pre-trained policy configuration listed on
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the Hub or locally (e.g., 'act')
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- A path to a `directory` containing a configuration file saved
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- A path to a `directory` containing a configuration file saved
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using [`~PreTrainedConfig.save_pretrained`].
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- A path or url to a saved configuration JSON `file`.
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**kwargs: Additional kwargs passed to PreTrainedConfig.from_pretrained()
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@@ -215,13 +173,35 @@ class AutoPolicyConfig:
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else:
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# Assume it's a policy_type identifier
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policy_type = pretrained_policy_config_name_or_path
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if policy_type not in POLICY_CONFIG_MAPPING:
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raise ValueError(
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f"Unrecognized policy type {policy_type}. "
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f"Should be one of {', '.join(POLICY_CONFIG_MAPPING.keys())}"
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)
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config_class = POLICY_CONFIG_MAPPING[policy_type]
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return config_class.from_pretrained(pretrained_policy_config_name_or_path, **kwargs)
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def main():
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# Simulates a standard policy type being loaded
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my_config = AutoPolicyConfig.for_policy("act")
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from lerobot.common.policies.act.configuration_act import ACTConfig
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assert isinstance(my_config,ACTConfig)
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# my_policy = AutoPolicy.from_config(my_config)
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# from lerobot.common.policies.act.modeling_act import ACTPolicy
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# assert isinstance(my_policy,ACTPolicy)
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# Simulates a new policy type being registered
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from lerobot.common.policies.pi0.configuration_pi0 import PI0Config
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AutoPolicyConfig.register("pi0", PI0Config)
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my_new_config = AutoPolicyConfig.for_policy("pi0")
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assert isinstance(my_new_config,PI0Config)
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# from lerobot.common.policies.pi0.modeling_pi0 import PI0Policy
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# AutoPolicy.register(PI0Config,PI0Policy)
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# my_new_policy = AutoPolicy.from_config(my_new_config)
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# assert isinstance(my_new_policy,PI0Policy)
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if __name__ == "__main__":
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main()
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