Remove useless code
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@@ -253,38 +253,56 @@ class OnPolicyRunner:
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if self.robogauge_client is None:
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return
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if it % 500 == 0 or last_model:
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# export jit model
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jit_dir = os.path.join(self.log_dir, 'jit_models')
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jit_path = os.path.join(jit_dir, f'policy_jit_{it}.pt')
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export_policy_as_jit(self.alg.actor_critic, jit_dir, filename=f'policy_jit_{it}.pt')
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# upload to robogauge
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task_name = 'go2'
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self.robogauge_client.submit_task(
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model_path=jit_path,
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step=it,
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task_name=task_name,
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experiment_name=self.cfg["experiment_name"]
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)
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try:
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if it % 500 == 0 or last_model:
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# export jit model
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jit_dir = os.path.join(self.log_dir, 'jit_models')
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jit_path = os.path.join(jit_dir, f'policy_jit_{it}.pt')
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export_policy_as_jit(self.alg.actor_critic, jit_dir, filename=f'policy_jit_{it}.pt')
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# upload to robogauge
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task_name = 'go2'
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self.robogauge_client.submit_task(
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model_path=jit_path,
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step=it,
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task_name=task_name,
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experiment_name=self.cfg["experiment_name"]
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)
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except Exception as e:
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print(f"[WARN] RoboGauge submit failed at step {it}: {e}")
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return
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check_times = 1
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if last_model:
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check_times = int(1e9) # keep checking until the last model is evaluated
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while check_times > 0:
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check_times -= 1
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self.robogauge_client.monitor_tasks()
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try:
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self.robogauge_client.monitor_tasks()
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except Exception as e:
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print(f"[WARN] RoboGauge monitor failed at step {it}: {e}")
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break
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results_dir = os.path.join(self.log_dir, 'robogauge_results')
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os.makedirs(results_dir, exist_ok=True)
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result_received = False
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for task_id, resp in self.robogauge_client.response_data.items():
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scores = resp['results']['scores']
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step = resp['step']
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if not isinstance(resp, dict):
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print(f"[WARN] RoboGauge returned an invalid response for task {task_id}: {resp}")
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continue
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results = resp.get('results')
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step = resp.get('step', it)
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if results is None:
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print(f"[WARN] RoboGauge returned empty results for task {task_id} at step {step}.")
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continue
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scores = results.get('scores')
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if scores is None:
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print(f"[WARN] RoboGauge results for task {task_id} at step {step} do not contain 'scores'.")
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continue
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if step == it:
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result_received = True
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for key, val in scores.items():
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self.writer.add_scalar(f'RoboGauge/{key}', val, step)
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results_path = os.path.join(results_dir, f'results_{step}.yaml')
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with open(results_path, 'w', encoding='utf-8') as f:
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yaml.dump(resp['results'], f, allow_unicode=True, sort_keys=False)
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yaml.dump(results, f, allow_unicode=True, sort_keys=False)
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if last_model and result_received:
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print(f"RoboGauge result for step {it} received. Exiting wait loop.")
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@@ -298,38 +298,56 @@ class OnPolicyRunnerCTS:
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if self.robogauge_client is None:
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return
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if it % 500 == 0 or last_model:
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# export jit model
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jit_dir = os.path.join(self.log_dir, 'jit_models')
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jit_path = os.path.join(jit_dir, f'policy_jit_{it}.pt')
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export_policy_as_jit(self.alg.model, jit_dir, filename=f'policy_jit_{it}.pt')
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# upload to robogauge
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task_name = 'go2_moe' # Both cts, moe-cts actor return a tuple `action, (latent, ...)`
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self.robogauge_client.submit_task(
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model_path=jit_path,
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step=it,
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task_name=task_name,
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experiment_name=self.cfg["experiment_name"]
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)
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try:
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if it % 500 == 0 or last_model:
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# export jit model
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jit_dir = os.path.join(self.log_dir, 'jit_models')
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jit_path = os.path.join(jit_dir, f'policy_jit_{it}.pt')
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export_policy_as_jit(self.alg.model, jit_dir, filename=f'policy_jit_{it}.pt')
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# upload to robogauge
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task_name = 'go2_moe' # Both cts, moe-cts actor return a tuple `action, (latent, ...)`
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self.robogauge_client.submit_task(
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model_path=jit_path,
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step=it,
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task_name=task_name,
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experiment_name=self.cfg["experiment_name"]
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)
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except Exception as e:
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print(f"[WARN] RoboGauge submit failed at step {it}: {e}")
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return
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check_times = 1
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if last_model:
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check_times = int(1e9) # keep checking until manually stopped
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while check_times > 0:
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check_times -= 1
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self.robogauge_client.monitor_tasks()
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try:
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self.robogauge_client.monitor_tasks()
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except Exception as e:
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print(f"[WARN] RoboGauge monitor failed at step {it}: {e}")
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break
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results_dir = os.path.join(self.log_dir, 'robogauge_results')
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os.makedirs(results_dir, exist_ok=True)
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result_received = False
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for task_id, resp in self.robogauge_client.response_data.items():
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scores = resp['results']['scores']
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step = resp['step']
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if not isinstance(resp, dict):
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print(f"[WARN] RoboGauge returned an invalid response for task {task_id}: {resp}")
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continue
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results = resp.get('results')
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step = resp.get('step', it)
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if results is None:
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print(f"[WARN] RoboGauge returned empty results for task {task_id} at step {step}.")
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continue
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scores = results.get('scores')
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if scores is None:
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print(f"[WARN] RoboGauge results for task {task_id} at step {step} do not contain 'scores'.")
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continue
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if step == it:
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result_received = True
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for key, val in scores.items():
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self.writer.add_scalar(f'RoboGauge/{key}', val, step)
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results_path = os.path.join(results_dir, f'results_{step}.yaml')
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with open(results_path, 'w', encoding='utf-8') as f:
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yaml.dump(resp['results'], f, allow_unicode=True, sort_keys=False)
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yaml.dump(results, f, allow_unicode=True, sort_keys=False)
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if last_model and result_received:
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print(f"RoboGauge result for step {it} received. Exiting wait loop.")
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