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fix(profiling): align libero smoke specs with pretrained policies
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@@ -57,7 +57,7 @@
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"--policy.device=cuda",
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"--policy.n_action_steps=30",
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"--batch_size=1",
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"--rename_map={\"observation.images.image\": \"observation.images.camera1\", \"observation.images.image2\": \"observation.images.camera2\"}"
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"--rename_map={\"observation.images.front\": \"observation.images.base_0_rgb\", \"observation.images.wrist\": \"observation.images.left_wrist_0_rgb\"}"
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]
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},
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"pi0_fast": {
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@@ -69,7 +69,7 @@
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"--policy.device=cuda",
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"--policy.n_action_steps=30",
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"--batch_size=1",
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"--rename_map={\"observation.images.image\": \"observation.images.camera1\", \"observation.images.image2\": \"observation.images.camera2\"}"
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"--rename_map={\"observation.images.front\": \"observation.images.base_0_rgb\", \"observation.images.wrist\": \"observation.images.left_wrist_0_rgb\"}"
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]
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},
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"pi05": {
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@@ -81,7 +81,8 @@
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"--policy.device=cuda",
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"--policy.n_action_steps=30",
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"--batch_size=1",
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"--rename_map={\"observation.images.image\": \"observation.images.camera1\", \"observation.images.image2\": \"observation.images.camera2\"}"
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"--policy.normalization_mapping={\"ACTION\": \"MEAN_STD\", \"STATE\": \"MEAN_STD\", \"VISUAL\": \"IDENTITY\"}",
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"--rename_map={\"observation.images.front\": \"observation.images.base_0_rgb\", \"observation.images.wrist\": \"observation.images.left_wrist_0_rgb\"}"
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]
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},
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"smolvla": {
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@@ -96,7 +97,7 @@
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"--policy.empty_cameras=1",
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"--policy.device=cuda",
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"--batch_size=1",
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"--rename_map={\"observation.images.image\": \"observation.images.camera1\", \"observation.images.image2\": \"observation.images.camera2\"}"
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"--rename_map={\"observation.images.front\": \"observation.images.camera1\", \"observation.images.wrist\": \"observation.images.camera2\"}"
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]
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},
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"wall_x": {
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@@ -59,6 +59,38 @@ def test_profiling_specs_cover_expected_policies():
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assert excluded not in specs
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def test_pretrained_libero_specs_match_expected_camera_keys_and_normalization():
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module = _import_model_profiling_script()
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spec_path = Path(__file__).resolve().parents[2] / "profiling" / "model_profiling_specs.json"
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specs = module.load_specs(spec_path)
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assert (
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"--rename_map={\"observation.images.front\": \"observation.images.base_0_rgb\", "
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"\"observation.images.wrist\": \"observation.images.left_wrist_0_rgb\"}"
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in specs["pi0"]["train_args"]
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)
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assert (
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"--rename_map={\"observation.images.front\": \"observation.images.base_0_rgb\", "
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"\"observation.images.wrist\": \"observation.images.left_wrist_0_rgb\"}"
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in specs["pi0_fast"]["train_args"]
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)
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assert (
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"--rename_map={\"observation.images.front\": \"observation.images.base_0_rgb\", "
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"\"observation.images.wrist\": \"observation.images.left_wrist_0_rgb\"}"
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in specs["pi05"]["train_args"]
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)
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assert (
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"--policy.normalization_mapping={\"ACTION\": \"MEAN_STD\", "
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"\"STATE\": \"MEAN_STD\", \"VISUAL\": \"IDENTITY\"}"
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in specs["pi05"]["train_args"]
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)
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assert (
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"--rename_map={\"observation.images.front\": \"observation.images.camera1\", "
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"\"observation.images.wrist\": \"observation.images.camera2\"}"
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in specs["smolvla"]["train_args"]
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)
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def test_build_train_command_includes_profiling_outputs(tmp_path):
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module = _import_model_profiling_script()
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spec_path = Path(__file__).resolve().parents[2] / "profiling" / "model_profiling_specs.json"
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