assert unachieved_thresholds + duplicate_thresholds + len(thresh_metrics) == self.num_thresholds

[osmosishk]

Traceback (most recent call last): File "./tools/test.py", line 261, in main() File "./tools/test.py", line 257, in main print(dataset.evaluate(outputs, **eval_kwargs)) File "/UniAD/projects/mmdet3d_plugin/datasets/nuscenes_e2e_dataset.py", line 1060, in evaluate results_dict = self._evaluate_single( File "/UniAD/projects/mmdet3d_plugin/datasets/nuscenes_e2e_dataset.py", line 1180, in _evaluate_single self.nusc_eval_track.main() File "/usr/local/lib/python3.8/dist-packages/nuscenes/eval/tracking/evaluate.py", line 205, in main metrics, metric_data_list = self.evaluate() File "/usr/local/lib/python3.8/dist-packages/nuscenes/eval/tracking/evaluate.py", line 135, in evaluate accumulate_class(class_name) File "/usr/local/lib/python3.8/dist-packages/nuscenes/eval/tracking/evaluate.py", line 131, in accumulate_class curr_md = curr_ev.accumulate() File "/usr/local/lib/python3.8/dist-packages/nuscenes/eval/tracking/algo.py", line 161, in accumulate assert unachieved_thresholds + duplicate_thresholds + len(thresh_metrics) == self.num_thresholds AssertionError /usr/local/lib/python3.8/dist-packages/torch/distributed/launch.py:178: FutureWarning: The module torch.distributed.launch is deprecated and will be removed in future. Use torch.distributed.run. Note that --use_env is set by default in torch.distributed.run. If your script expects --local_rank argument to be set, please change it to read from os.environ['LOCAL_RANK'] instead. See https://pytorch.org/docs/stable/distributed.html#launch-utility for further instructions

warnings.warn( ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 633) of binary: /usr/bin/python Traceback (most recent call last): File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/usr/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "/usr/local/lib/python3.8/dist-packages/torch/distributed/launch.py", line 193, in main() File "/usr/local/lib/python3.8/dist-packages/torch/distributed/launch.py", line 189, in main launch(args) File "/usr/local/lib/python3.8/dist-packages/torch/distributed/launch.py", line 174, in launch run(args) File "/usr/local/lib/python3.8/dist-packages/torch/distributed/run.py", line 689, in run elastic_launch( File "/usr/local/lib/python3.8/dist-packages/torch/distributed/launcher/api.py", line 116, in call return launch_agent(self._config, self._entrypoint, list(args)) File "/usr/local/lib/python3.8/dist-packages/torch/distributed/launcher/api.py", line 244, in launch_agent raise ChildFailedError( torch.distributed.elastic.multiprocessing.errors.ChildFailedError:

---

     ./tools/test.py FAILED        

======================================= Root Cause: [0]: time: 2024-11-07_15:01:27 rank: 0 (local_rank: 0) exitcode: 1 (pid: 633) error_file: <N/A> msg: "Process failed with exitcode 1"

Other Failures:

*************************************** What will be the issue of this error , when i use the command ./tools/uniad_dist_eval.sh ./projects/configs/stage1_track_map/base_track_map.py ./ckpts/uniad_base_track_map.pth 1