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:
<NO_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