板端尝试yolo11n推理出现报错ValueError: Unknown level: ‘WARNING’，然后再试看yolov8n推理还是一样的报错。 请问该如何解决？
W rknn-toolkit-lite2 version: 2.3.0
–> Init runtime environment
I RKNN: [06:01:27.598] RKNN Runtime Information, librknnrt version: 2.3.0 (c949ad889d@2024-11-07T11:35:33)
I RKNN: [06:01:27.599] RKNN Driver Information, version: 0.9.6
I RKNN: [06:01:27.599] RKNN Model Information, version: 6, toolkit version: 2.3.0(compiler version: 2.3.0 (c949ad889d@2024-11-07T11:39:30)), target: RKNPU v2, target platform: rk3588, framework name: ONNX, framework layout: NCHW, model inference type: static_shape
W RKNN: [06:01:27.615] query RKNN_QUERY_INPUT_DYNAMIC_RANGE error, rknn model is static shape type, please export rknn with dynamic_shapes
W Query dynamic range failed. Ret code: RKNN_ERR_MODEL_INVALID. (If it is a static shape RKNN model, please ignore the above warning message.)
done
Model-/home/radxa/rknn/model/yolov8n.rknn is rknn model, starting val
Traceback (most recent call last):
File “/home/radxa/rknn/yolov8.py”, line 264, in
boxes, classes, scores = post_process(outputs)
^^^^^^^^^^^^^^^^^^^^^
File “/home/radxa/rknn/yolov8.py”, line 123, in post_process
boxes.append(box_process(input_data[pair_per_branch*i]))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File “/home/radxa/rknn/yolov8.py”, line 110, in box_process
position = dfl(position)
^^^^^^^^^^^^^
File “/home/radxa/rknn/yolov8.py”, line 90, in dfl
import torch
File “/home/radxa/miniconda3/envs/py311/lib/python3.11/site-packages/torch/init.py”, line 2475, in
from torch import (
File “/home/radxa/miniconda3/envs/py311/lib/python3.11/site-packages/torch/export/init.py”, line 28, in
from torch.fx.passes.infra.pass_base import PassResult
File “/home/radxa/miniconda3/envs/py311/lib/python3.11/site-packages/torch/fx/passes/init.py”, line 3, in
from . import net_min_base
File “/home/radxa/miniconda3/envs/py311/lib/python3.11/site-packages/torch/fx/passes/net_min_base.py”, line 13, in
from .split_utils import split_by_tags
File “/home/radxa/miniconda3/envs/py311/lib/python3.11/site-packages/torch/fx/passes/split_utils.py”, line 9, in
from torch.fx.passes.utils import HolderModule, lift_subgraph_as_module
File “/home/radxa/miniconda3/envs/py311/lib/python3.11/site-packages/torch/fx/passes/utils/init.py”, line 1, in
from .common import lift_subgraph_as_module, HolderModule, compare_graphs
File “/home/radxa/miniconda3/envs/py311/lib/python3.11/site-packages/torch/fx/passes/utils/common.py”, line 8, in
from torch.fx.passes.utils.matcher_utils import SubgraphMatcher
File “/home/radxa/miniconda3/envs/py311/lib/python3.11/site-packages/torch/fx/passes/utils/matcher_utils.py”, line 32, in
logger = _init_logger()
^^^^^^^^^^^^^^
File “/home/radxa/miniconda3/envs/py311/lib/python3.11/site-packages/torch/fx/passes/utils/matcher_utils.py”, line 22, in _init_logger
logger.setLevel(level)
File “/home/radxa/miniconda3/envs/py311/lib/python3.11/logging/init.py”, line 1464, in setLevel
self.level = _checkLevel(level)
^^^^^^^^^^^^^^^^^^
File “/home/radxa/miniconda3/envs/py311/lib/python3.11/logging/init.py”, line 207, in _checkLevel
raise ValueError(“Unknown level: %r” % level)
ValueError: Unknown level: ‘WARNING’