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refactor: RL stack refactoring — RLAlgorithm, RLTrainer, DataMixer, and SAC restructuring
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@@ -14,7 +14,6 @@
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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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import pytest
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import torch
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from lerobot.configs.types import FeatureType, NormalizationMode, PolicyFeature
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@@ -38,9 +37,6 @@ def test_classifier_output():
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@require_package("transformers")
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@pytest.mark.skip(
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reason="helper2424/resnet10 needs to be updated to work with the latest version of transformers"
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)
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def test_binary_classifier_with_default_params():
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from lerobot.policies.sac.reward_model.modeling_classifier import Classifier
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@@ -82,9 +78,6 @@ def test_binary_classifier_with_default_params():
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@require_package("transformers")
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@pytest.mark.skip(
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reason="helper2424/resnet10 needs to be updated to work with the latest version of transformers"
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)
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def test_multiclass_classifier():
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from lerobot.policies.sac.reward_model.modeling_classifier import Classifier
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@@ -124,9 +117,6 @@ def test_multiclass_classifier():
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@require_package("transformers")
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@pytest.mark.skip(
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reason="helper2424/resnet10 needs to be updated to work with the latest version of transformers"
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)
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def test_default_device():
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from lerobot.policies.sac.reward_model.modeling_classifier import Classifier
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@@ -139,9 +129,6 @@ def test_default_device():
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@require_package("transformers")
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@pytest.mark.skip(
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reason="helper2424/resnet10 needs to be updated to work with the latest version of transformers"
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)
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def test_explicit_device_setup():
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from lerobot.policies.sac.reward_model.modeling_classifier import Classifier
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