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style: apply ruff format/lint to onnx examples

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This commit is contained in:
Martino Russi
2026-07-05 17:32:54 +02:00
parent b5201f6c15
commit 30cbea056e
2 changed files with 9 additions and 10 deletions
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examples/onnx/export_act.py
+5 -5
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@@ -68,16 +68,16 @@ def main():
has_env_state = cfg.env_state_feature is not None
state_dim = (cfg.robot_state_feature or cfg.env_state_feature).shape[0]
print(f" image_keys={image_keys} state_dim={state_dim} "
f"chunk_size={cfg.chunk_size} action_dim={cfg.action_feature.shape[0]}")
print(
f" image_keys={image_keys} state_dim={state_dim} "
f"chunk_size={cfg.chunk_size} action_dim={cfg.action_feature.shape[0]}"
)
wrapper = ACTExportWrapper(policy.model, image_keys, has_state, has_env_state).eval().to(args.device)
# Build example inputs (batch size 1) from the config feature shapes.
state_example = torch.randn(1, state_dim, device=args.device)
image_examples = [
torch.rand(1, *cfg.image_features[k].shape, device=args.device) for k in image_keys
]
image_examples = [torch.rand(1, *cfg.image_features[k].shape, device=args.device) for k in image_keys]
example_inputs = (state_example, *image_examples)
input_names = ["state"] + [f"image_{i}" for i in range(len(image_keys))]