ImportError: /usr/lib64/libm.so.6: version `GLIBC_2.27' not found (required by /mnt/dl-storage/dg-cephfs-0/public/huangyangke/RapidASR/python/base_wenet/wenet/swig_decoders/_swig_decoders.cpython-37m-x86_64-linux-gnu.so)

run test_demo.py error in feature.py： def sliding_window(x, window_size, window_shift): shape = x.shape[:-1] + (x.shape[-1] - window_size + 1, window_size) strides = x.strides + (x.strides[-1],) return np.lib.stride_tricks.as_strided(x, shape=shape, strides=strides)[::window_shift] if x.shape[-1] - window_size + 1 < 0: ValueError: negative dimensions are not allowed what is the mean x.shape[-1] - window_size + 1 ?

export onnx model with “wenet/bin/export_onnx.py” and run “python test_demo.py” with exported onnx ， get follow error：

Traceback (most recent call last):
  File "test_demo.py", line 4, in <module>
    from wenet import WenetInfer
  File "/data/disk1/ybZhang/.opendir/RapidASR/python/base_wenet/wenet/__init__.py", line 2, in <module>
    from .wenet_infer import WenetInfer
  File "/data/disk1/ybZhang/.opendir/RapidASR/python/base_wenet/wenet/wenet_infer.py", line 37, in <module>
    from swig_decoders import (PathTrie, TrieVector,
ModuleNotFoundError: No module named 'swig_decoders'
source activate wenet
(wenet) [ybZhang@master /data/disk1/ybZhang/.opendir/RapidASR/python/base_wenet]$python test_demo.py pretrain_model2/onnx_cpu/ test_data/test.wav
Traceback (most recent call last):
  File "test_demo.py", line 22, in <module>
    key, content, elapse = wenet_infer(wav_path)
  File "/data/disk1/ybZhang/.opendir/RapidASR/python/base_wenet/wenet/wenet_infer.py", line 148, in __call__
    ort_outs = self.encoder_ort_session.run(None, ort_inputs)
  File "/home/ybZhang/miniconda3/envs/wenet/lib/python3.8/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 184, in run
    raise ValueError("Model requires {} inputs. Input Feed contains {}".format(num_required_inputs, num_inputs))
ValueError: Model requires 6 inputs. Input Feed contains 2