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fix: add try/finally to control_loop to ensure image writer cleanup on exit
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@@ -659,6 +659,7 @@ def control_loop(
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episode_step = 0
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episode_start_time = time.perf_counter()
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try:
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while episode_idx < cfg.dataset.num_episodes_to_record:
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step_start_time = time.perf_counter()
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@@ -667,7 +668,6 @@ def control_loop(
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if use_gripper:
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neutral_action = torch.cat([neutral_action, torch.tensor([0.0])]) # Gripper stay
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# Use the new step function
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transition = step_env_and_process_transition(
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env=env,
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transition=transition,
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@@ -684,7 +684,6 @@ def control_loop(
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for k, v in transition[TransitionKey.OBSERVATION].items()
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if isinstance(v, torch.Tensor)
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}
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# Use teleop_action if available, otherwise use the action from the transition
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action_to_record = transition[TransitionKey.COMPLEMENTARY_DATA].get(
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"teleop_action", transition[TransitionKey.ACTION]
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)
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@@ -695,8 +694,12 @@ def control_loop(
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DONE: np.array([terminated or truncated], dtype=bool),
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}
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if use_gripper:
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discrete_penalty = transition[TransitionKey.COMPLEMENTARY_DATA].get("discrete_penalty", 0.0)
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frame["complementary_info.discrete_penalty"] = np.array([discrete_penalty], dtype=np.float32)
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discrete_penalty = transition[TransitionKey.COMPLEMENTARY_DATA].get(
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"discrete_penalty", 0.0
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)
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frame["complementary_info.discrete_penalty"] = np.array(
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[discrete_penalty], dtype=np.float32
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)
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if dataset is not None:
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frame["task"] = cfg.dataset.task
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@@ -732,6 +735,10 @@ def control_loop(
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# Maintain fps timing
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precise_sleep(max(dt - (time.perf_counter() - step_start_time), 0.0))
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finally:
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if dataset is not None and dataset.writer is not None and dataset.writer.image_writer is not None:
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logging.info("Waiting for image writer to finish...")
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dataset.writer.image_writer.stop()
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if dataset is not None and cfg.dataset.push_to_hub:
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logging.info("Finalizing dataset before pushing to hub")
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