update wandb settings
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@@ -14,8 +14,8 @@ with open("./settings.json", "r") as file:
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data = json.load(file)
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time_limit = data["time_limit"]
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@timeout(time_limit, use_signals=False)
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def run_single_example(agent, env, example, max_steps, instruction, args, example_result_dir, scores):
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# @timeout(time_limit, use_signals=False)
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def run_single_example(agent, env, example, max_steps, instruction, args, example_result_dir, scores, run):
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agent.reset()
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obs = env.reset(task_config=example)
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done = False
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@@ -46,7 +46,7 @@ def run_single_example(agent, env, example, max_steps, instruction, args, exampl
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str_table.add_data(wandb.Image(data_or_path=os.path.join(example_result_dir, f"step_{step_idx + 1}_{action_timestamp}.png"), caption=f"step_{step_idx + 1}_{action_timestamp}"),
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thisrun_a11tree,
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response, action, action_timestamp, done)
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wandb.log({"Reward": reward})
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run.log({"Reward": reward})
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with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f:
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f.write(json.dumps({
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"step_num": step_idx + 1,
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@@ -62,11 +62,13 @@ def run_single_example(agent, env, example, max_steps, instruction, args, exampl
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logger.info("The episode is done.")
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break
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step_idx += 1
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wandb.log({"str_trajectory": str_table})
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# wandb.log({"str_trajectory": str_table})
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run.log({"str_trajectory": str_table})
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result = env.evaluate()
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logger.info("Result: %.2f", result)
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scores.append(result)
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with open(os.path.join(example_result_dir, "result.txt"), "w", encoding="utf-8") as f:
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f.write(f"{result}\n")
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env.controller.end_recording(os.path.join(example_result_dir, "recording.mp4"))
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wandb.log({"Result": result})
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run.log({"Result": result})
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# wandb.log({"Result": result})
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