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# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import importlib
import importlib.metadata
import logging
from typing import Any
from draccus.choice_types import ChoiceRegistry
def is_package_available(
pkg_name: str, import_name: str | None = None, return_version: bool = False
) -> tuple[bool, str] | bool:
"""
Check if the package spec exists and grab its version to avoid importing a local directory.
Args:
pkg_name: The name of the package as installed via pip (e.g. "python-can").
import_name: The actual name used to import the package (e.g. "can").
Defaults to pkg_name if not provided.
return_version: Whether to return the version string.
"""
if import_name is None:
import_name = pkg_name
# Check if the module spec exists using the import name
package_exists = importlib.util.find_spec(import_name) is not None
package_version = "N/A"
if package_exists:
try:
# Primary method to get the package version
package_version = importlib.metadata.version(pkg_name)
except importlib.metadata.PackageNotFoundError:
# Fallback method: Only for "torch" and versions containing "dev"
if pkg_name == "torch":
try:
package = importlib.import_module(import_name)
temp_version = getattr(package, "__version__", "N/A")
# Check if the version contains "dev"
if "dev" in temp_version:
package_version = temp_version
package_exists = True
else:
package_exists = False
except ImportError:
# If the package can't be imported, it's not available
package_exists = False
else:
# For packages other than "torch", don't attempt the fallback and set as not available
package_exists = False
logging.debug(f"Detected {pkg_name} version: {package_version}")
if return_version:
return package_exists, package_version
else:
return package_exists
def get_safe_default_video_backend():
logger = logging.getLogger(__name__)
if importlib.util.find_spec("torchcodec"):
return "torchcodec"
else:
logger.warning(
"'torchcodec' is not available in your platform, falling back to 'pyav' as a default decoder"
)
return "pyav"
_require_package_cache: dict[str, bool] = {}
def require_package(pkg_name: str, extra: str, import_name: str | None = None) -> None:
"""Raise an informative ImportError if a package required by an optional feature is missing."""
cache_key = import_name or pkg_name
if cache_key not in _require_package_cache:
_require_package_cache[cache_key] = is_package_available(pkg_name, import_name)
if not _require_package_cache[cache_key]:
raise ImportError(
f"'{pkg_name}' is required but not installed. Install it with: "
f"pip install 'lerobot[{extra}]' (or uv pip install 'lerobot[{extra}]')"
)
# ββ Centralised availability flags ββββββββββββββββββββββββββββββββββββββββ
# Every optional-dependency check lives here so that the rest of the codebase
# can simply ``from lerobot.utils.import_utils import _foo_available``.
# Do NOT define ad-hoc ``is_package_available(...)`` calls in other modules.
# ML / training
_transformers_available = is_package_available("transformers")
_peft_available = is_package_available("peft")
_scipy_available = is_package_available("scipy")
_diffusers_available = is_package_available("diffusers")
_torchdiffeq_available = is_package_available("torchdiffeq")
# Hardware SDKs
_serial_available = is_package_available("pyserial", import_name="serial")
_deepdiff_available = is_package_available("deepdiff")
_dynamixel_sdk_available = is_package_available("dynamixel-sdk", import_name="dynamixel_sdk")
_feetech_sdk_available = is_package_available("feetech-servo-sdk", import_name="scservo_sdk")
_reachy2_sdk_available = is_package_available("reachy2_sdk")
_can_available = is_package_available("python-can", "can")
_motorbridge_available = is_package_available("motorbridge")
_motorbridge_smart_servo_available = is_package_available(
"motorbridge-smart-servo", import_name="motorbridge_smart_servo"
)
_unitree_sdk_available = is_package_available("unitree-sdk2py", "unitree_sdk2py")
_pyrealsense2_available = is_package_available("pyrealsense2") or is_package_available(
"pyrealsense2-macosx", import_name="pyrealsense2"
)
_zmq_available = is_package_available("pyzmq", import_name="zmq")
_hebi_available = is_package_available("hebi-py", import_name="hebi")
_teleop_available = is_package_available("teleop")
_placo_available = is_package_available("placo")
_hidapi_available = is_package_available("hidapi", import_name="hid")
# Data / serialization
_datasets_available = is_package_available("datasets")
_pandas_available = is_package_available("pandas")
_faker_available = is_package_available("faker")
# Video encoding / decoding
_av_available = is_package_available("av")
# Misc
_pynput_available = is_package_available("pynput")
_pygame_available = is_package_available("pygame")
_qwen_vl_utils_available = is_package_available("qwen-vl-utils", import_name="qwen_vl_utils")
_grpc_available = is_package_available("grpcio", import_name="grpc")
_wallx_deps_available = (
_transformers_available and _peft_available and _torchdiffeq_available and _qwen_vl_utils_available
)
def make_device_from_device_class(config: ChoiceRegistry) -> Any:
"""
Dynamically instantiates an object from its `ChoiceRegistry` configuration.
This factory uses the module path and class name from the `config` object's
type to locate and instantiate the corresponding device class (not the config).
It derives the device class name by removing a trailing 'Config' from the config
class name and tries a few candidate modules where the device implementation is
commonly located.
"""
if not isinstance(config, ChoiceRegistry):
raise ValueError(f"Config should be an instance of `ChoiceRegistry`, got {type(config)}")
config_cls = config.__class__
module_path = config_cls.__module__ # typical: lerobot_teleop_mydevice.config_mydevice
config_name = config_cls.__name__ # typical: MyDeviceConfig
# Derive device class name (strip "Config")
if not config_name.endswith("Config"):
raise ValueError(f"Config class name '{config_name}' does not end with 'Config'")
device_class_name = config_name[:-6] # typical: MyDeviceConfig -> MyDevice
# Build candidate modules to search for the device class
parts = module_path.split(".")
parent_module = ".".join(parts[:-1]) if len(parts) > 1 else module_path
candidates = [
parent_module, # typical: lerobot_teleop_mydevice
parent_module + "." + device_class_name.lower(), # typical: lerobot_teleop_mydevice.mydevice
]
# handle modules named like "config_xxx" -> try replacing that piece with "xxx"
last = parts[-1] if parts else ""
if last.startswith("config_"):
candidates.append(".".join(parts[:-1] + [last.replace("config_", "")]))
# de-duplicate while preserving order
seen: set[str] = set()
candidates = [c for c in candidates if not (c in seen or seen.add(c))]
tried: list[str] = []
for candidate in candidates:
tried.append(candidate)
try:
module = importlib.import_module(candidate)
except ImportError:
continue
if hasattr(module, device_class_name):
cls = getattr(module, device_class_name)
if callable(cls):
try:
return cls(config)
except TypeError as e:
raise TypeError(
f"Failed to instantiate '{device_class_name}' from module '{candidate}': {e}"
) from e
raise ImportError(
f"Could not locate device class '{device_class_name}' for config '{config_name}'. "
f"Tried modules: {tried}. Ensure your device class name is the config class name without "
f"'Config' and that it's importable from one of those modules."
)
def register_third_party_plugins() -> None:
"""
Discover and import third-party LeRobot plugins so they can register themselves.
This function uses `importlib.metadata` to find packages installed in the environment
(including editable installs) starting with 'lerobot_robot_', 'lerobot_camera_',
'lerobot_teleoperator_', 'lerobot_policy_', or 'lerobot_env_' and imports them.
"""
prefixes = (
"lerobot_robot_",
"lerobot_camera_",
"lerobot_teleoperator_",
"lerobot_policy_",
"lerobot_env_",
)
imported: list[str] = []
failed: list[str] = []
def attempt_import(module_name: str):
try:
importlib.import_module(module_name)
imported.append(module_name)
logging.info("Imported third-party plugin: %s", module_name)
except Exception:
logging.exception("Could not import third-party plugin: %s", module_name)
failed.append(module_name)
for dist in importlib.metadata.distributions():
dist_name = dist.metadata.get("Name")
if not dist_name:
continue
if dist_name.startswith(prefixes):
attempt_import(dist_name)
logging.debug("Third-party plugin import summary: imported=%s failed=%s", imported, failed)
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