[ST][MS][NET][CANN解耦][910B3]dbnet_mobilenetv3/unet2d/bert_finetune_ner_bilstm_crf网络requirements.txt没有numpy版本要求，python39环境，网络numpy在1.26、1.24均跑不起来

| name       | about	                             | labels   |
| ---------- | ------------------------------------- | -------- |
| Bug Report | Use this template for reporting a bug | kind/bug |

### Describe the current behavior / 问题描述 (Mandatory / 必填)
dbnet_mobilenetv3/unet2d/bert_finetune_ner_bilstm_crf网络requirements.txt没有numpy版本要求，python39环境，网络numpy在1.26、1.24均跑不起来
 
### Environment / 环境信息 (Mandatory / 必填)
- **Hardware Environment(`Ascend`/`GPU`/`CPU`)  / 硬件环境**: 
> Please delete the backend not involved / 请删除不涉及的后端:
> /device Ascend910B3

- **Software Environment / 软件环境 (Mandatory / 必填)**:
-- MindSpore version (e.g., 1.7.0.Bxxx) :r2.0.0 commit_id:92c63200
-- Python version (e.g., Python 3.7.5) :
-- OS platform and distribution (e.g., Linux Ubuntu 16.04):
-- GCC/Compiler version (if compiled from source):
run包:Milan_C17/20240414
MindSpore 版本：r2.3.0 master_20240516061516_ec3d4f083be7

- **Excute Mode / 执行模式 (Mandatory / 必填)(`PyNative`/`Graph`)**: 
> Please delete the mode not involved / 请删除不涉及的模式:
> /mode graph

### Related testcase / 关联用例 (Mandatory / 必填)
测试仓库地址：solution_test/cases/02network/00cv/dbnet/train
用例：
test_unet2d_isbi_ascend_train_infer_8p_0002
test_ms_bert_finetune_ner_bilstm_crf_chinesener_train_infer_910_1p_0006
test_ms_dbnet_mobilenetv3_icdar2015_train_check_perf_910_gpu_1p_0001
test_ms_dbnet_mobilenetv3_icdar2015_train_check_loss_910_gpu_8p_0001
### Steps to reproduce the issue / 重现步骤 (Mandatory / 必填)
1. get code from mindocr
2. cd mindocr
3. mpirun --allow-run-as-root -n 8 python tools/train.py --config configs/det/dbnet/db_mobilenetv3_icdar15_8p.yaml
4. 网络训练成功
5. 训练日志正常

### Describe the expected behavior / 预期结果 (Mandatory / 必填)
 网络训练成功，训练日志正常
### Related log / screenshot / 日志 / 截图 (Mandatory / 必填)
```
Traceback (most recent call last):
  File "/home/jenkins/workspace/TDT_deployment/solution_test/cases/02network/00cv/dbnet/train/test_ms_dbnet_mobilenetv3_icdar2015_train_check_loss_910_gpu_8p_0001/tools/train.py", line 318, in <module>
    main(config)
  File "/home/jenkins/workspace/TDT_deployment/solution_test/cases/02network/00cv/dbnet/train/test_ms_dbnet_mobilenetv3_icdar2015_train_check_loss_910_gpu_8p_0001/tools/train.py", line 88, in main
    loader_train = build_dataset(
  File "/home/jenkins/workspace/TDT_deployment/solution_test/cases/02network/00cv/dbnet/train/test_ms_dbnet_mobilenetv3_icdar2015_train_check_loss_910_gpu_8p_0001/mindocr/data/builder.py", line 147, in build_dataset
    dataset = dataset_class(**dataset_args)
  File "/home/jenkins/workspace/TDT_deployment/solution_test/cases/02network/00cv/dbnet/train/test_ms_dbnet_mobilenetv3_icdar2015_train_check_loss_910_gpu_8p_0001/mindocr/data/det_dataset.py", line 85, in __init__
    _data = run_transforms(_data, transforms=self.transforms)
  File "/home/jenkins/workspace/TDT_deployment/solution_test/cases/02network/00cv/dbnet/train/test_ms_dbnet_mobilenetv3_icdar2015_train_check_loss_910_gpu_8p_0001/mindocr/data/transforms/transforms_factory.py", line 70, in run_transforms
    data = transform(data)
  File "/home/jenkins/workspace/TDT_deployment/solution_test/cases/02network/00cv/dbnet/train/test_ms_dbnet_mobilenetv3_icdar2015_train_check_loss_910_gpu_8p_0001/mindocr/data/transforms/det_transforms.py", line 82, in __call__
    txt_tags = np.array(txt_tags, dtype=np.bool)
  File "/home/miniconda3/envs/large_model_39/lib/python3.9/site-packages/numpy/__init__.py", line 324, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

```
### Special notes for this issue/备注 (Optional / 选填)
走给高双龙

GVP MindSpore/mindspore

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GVPMindSpore/mindspore

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