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refactor(policies): rename policies/sac → policies/gaussian_actor

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This commit is contained in:
Khalil Meftah
2026-04-23 19:13:18 +02:00
parent 8065bf15c7
commit 06255996ea
24 changed files with 185 additions and 168 deletions
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tests/policies/hilserl/test_modeling_classifier.py
+6 -6
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@@ -17,8 +17,8 @@
import torch
from lerobot.configs.types import FeatureType, NormalizationMode, PolicyFeature
from lerobot.policies.sac.reward_model.configuration_classifier import RewardClassifierConfig
from lerobot.policies.sac.reward_model.modeling_classifier import ClassifierOutput
from lerobot.policies.gaussian_actor.reward_model.configuration_classifier import RewardClassifierConfig
from lerobot.policies.gaussian_actor.reward_model.modeling_classifier import ClassifierOutput
from lerobot.utils.constants import OBS_IMAGE, REWARD
from tests.utils import skip_if_package_missing
@@ -38,7 +38,7 @@ def test_classifier_output():
@skip_if_package_missing("transformers")
def test_binary_classifier_with_default_params():
from lerobot.policies.sac.reward_model.modeling_classifier import Classifier
from lerobot.policies.gaussian_actor.reward_model.modeling_classifier import Classifier
config = RewardClassifierConfig()
config.input_features = {
@@ -79,7 +79,7 @@ def test_binary_classifier_with_default_params():
@skip_if_package_missing("transformers")
def test_multiclass_classifier():
from lerobot.policies.sac.reward_model.modeling_classifier import Classifier
from lerobot.policies.gaussian_actor.reward_model.modeling_classifier import Classifier
num_classes = 5
config = RewardClassifierConfig()
@@ -118,7 +118,7 @@ def test_multiclass_classifier():
@skip_if_package_missing("transformers")
def test_default_device():
from lerobot.policies.sac.reward_model.modeling_classifier import Classifier
from lerobot.policies.gaussian_actor.reward_model.modeling_classifier import Classifier
config = RewardClassifierConfig()
assert config.device == "cpu"
@@ -130,7 +130,7 @@ def test_default_device():
@skip_if_package_missing("transformers")
def test_explicit_device_setup():
from lerobot.policies.sac.reward_model.modeling_classifier import Classifier
from lerobot.policies.gaussian_actor.reward_model.modeling_classifier import Classifier
config = RewardClassifierConfig(device="cpu")
assert config.device == "cpu"