安装环境时没有问题，推理时报错

```
python tools/infer/text/predict_ser.py --rec_algorithm CRNN_CH --image_dir /opt/2.jpg
[WARNING] ME(9046:281473023122160,MainProcess):2024-06-09-12:03:08.347.438 [mindspore/run_check/_check_version.py:357] MindSpore version 2.2.14 and Ascend AI software package (Ascend Data Center Solution)version 7.2 does not match, the version of software package expect one of ['7.1']. Please refer to the match info on: https://www.mindspore.cn/install
/root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/numpy/core/getlimits.py:518: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
  setattr(self, word, getattr(machar, word).flat[0])
/root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.
  return self._float_to_str(self.smallest_subnormal)
/root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/numpy/core/getlimits.py:518: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
  setattr(self, word, getattr(machar, word).flat[0])
/root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
  return self._float_to_str(self.smallest_subnormal)
[WARNING] ME(9046:281473023122160,MainProcess):2024-06-09-12:03:10.945.566 [mindspore/run_check/_check_version.py:375] MindSpore version 2.2.14 and "te" wheel package version 7.2 does not match. For details, refer to the installation guidelines: https://www.mindspore.cn/install
[WARNING] ME(9046:281473023122160,MainProcess):2024-06-09-12:03:10.946.415 [mindspore/run_check/_check_version.py:382] MindSpore version 2.2.14 and "hccl" wheel package version 7.2 does not match. For details, refer to the installation guidelines: https://www.mindspore.cn/install
[WARNING] ME(9046:281473023122160,MainProcess):2024-06-09-12:03:10.946.525 [mindspore/run_check/_check_version.py:396] Please pay attention to the above warning, countdown: 3
[WARNING] ME(9046:281473023122160,MainProcess):2024-06-09-12:03:11.947.618 [mindspore/run_check/_check_version.py:396] Please pay attention to the above warning, countdown: 2
[WARNING] ME(9046:281473023122160,MainProcess):2024-06-09-12:03:12.948.711 [mindspore/run_check/_check_version.py:396] Please pay attention to the above warning, countdown: 1
Traceback (most recent call last):
  File "/root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/sklearn/__check_build/__init__.py", line 45, in <module>
    from ._check_build import check_build  # noqa
ImportError: /root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/sklearn/__check_build/../../scikit_learn.libs/libgomp-d22c30c5.so.1.0.0: cannot allocate memory in static TLS block

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "tools/infer/text/predict_ser.py", line 17, in <module>
    from postprocess import Postprocessor
  File "/opt/mindocr-main/tools/infer/text/postprocess.py", line 9, in <module>
    from mindocr import build_postprocess
  File "/opt/mindocr-main/mindocr/__init__.py", line 1, in <module>
    from . import data, losses, metrics, models, postprocess, utils
  File "/opt/mindocr-main/mindocr/metrics/__init__.py", line 1, in <module>
    from .builder import build_metric
  File "/opt/mindocr-main/mindocr/metrics/builder.py", line 1, in <module>
    from . import cls_metrics, det_metrics, kie_metrics, layout_metrics, rec_metrics
  File "/opt/mindocr-main/mindocr/metrics/kie_metrics.py", line 6, in <module>
    import seqeval.metrics
  File "/root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/seqeval/metrics/__init__.py", line 1, in <module>
    from seqeval.metrics.sequence_labeling import (accuracy_score,
  File "/root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/seqeval/metrics/sequence_labeling.py", line 14, in <module>
    from seqeval.metrics.v1 import SCORES, _precision_recall_fscore_support
  File "/root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/seqeval/metrics/v1.py", line 5, in <module>
    from sklearn.exceptions import UndefinedMetricWarning
  File "/root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/sklearn/__init__.py", line 79, in <module>
    from . import (
  File "/root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/sklearn/__check_build/__init__.py", line 47, in <module>
    raise_build_error(e)
  File "/root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/sklearn/__check_build/__init__.py", line 31, in raise_build_error
    raise ImportError("""%s
ImportError: /root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/sklearn/__check_build/../../scikit_learn.libs/libgomp-d22c30c5.so.1.0.0: cannot allocate memory in static TLS block
___________________________________________________________________________
Contents of /root/miniconda3/envs/chatglm3/lib/python3.8/site-packages/sklearn/__check_build:
_check_build.cpython-38-aarch64-linux-gnu.so__init__.py               __pycache__
___________________________________________________________________________
It seems that scikit-learn has not been built correctly.

If you have installed scikit-learn from source, please do not forget
to build the package before using it: run `python setup.py install` or
`make` in the source directory.

If you have used an installer, please check that it is suited for your
Python version, your operating system and your platform.

```

MindSpore Lab/mindocr

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